161 Data Analysis jobs in London

Business Intelligence Developer

Surrey, South East Peaple Talent

Posted today

Job Viewed

Tap Again To Close

Job Description

️ Business Intelligence Developer | Surrey 2/3 days onsite | £45,000-£0,000 ️


Join a leading travel and leisure business that creates unforgettable, wish-list holidays. With a strong focus on customer experience, the company is powered by passionate teams and a collaborative, results-driven culture.


Employees are encouraged to truly understand the product, with opportunities to visit destinations as part of their role.


We’re looking for a skilled BI Developer to help shape and deliver data solutions that support smarter business decisions. You’ll work closely with Finance, Marketing, Digital, and Commercial teams to turn data into insights, automate reporting, and improve data infrastructure.


Key Responsibilities

  • Develop and maintain ETL processes using SSIS
  • Build interactive dashboards and reports in Power BI
  • Integrate data from various sources into clear insights
  • Support the development of the data warehouse and reporting environment
  • Promote best practices in BI and self-serve analytics


What You’ll Need

  • 4+ years in a BI development role
  • Strong SQL and Power BI skills
  • Experience with SSIS, SSRS, SSAS
  • Familiarity with Snowflake or similar cloud data platforms
  • Comfortable with scripting (e.g. Python) and Visual Studio
  • Excellent problem-solving and communication skills


Why Join:

Salary: £45,000- 0,000

⭐Work with a passionate and award-winning team

Work in a data-driven, supportive, and innovative environment

️Exposure to modern BI tools and technologies

Access to DataCamp for ongoing skill development

This advertiser has chosen not to accept applicants from your region.

Senior Business Intelligence Analyst

London, London Zego

Posted 8 days ago

Job Viewed

Tap Again To Close

Job Description

Permanent

About Zego

At Zego, we understand that traditional motor insurance holds good drivers back. It's too complicated, too expensive, and it doesn't reflect how well you actually drive. Since 2016, we have been on a mission to change that by offering the lowest priced insurance for good drivers.

From van drivers and gig workers to everyday car drivers, our customers are the driving force behind everything we do. We've sold tens of millions of policies and raised over $200 million in funding. And we’re only just getting started.

About the Role

We are seeking a passionate Senior Business Intelligence Analyst with a strong commercial mindset and a genuine love for data. This role isn't just about surfacing numbers- it's about transforming data into meaningful insights that support strategic decisions. You’ll play a pivotal role in enabling teams across the business to make informed, data-driven decisions.

To thrive in this role, you’ll need a solid technical foundation in analytics, strong stakeholder management skills, and the ability to operate in a fast-paced, dynamic environment.

What you will be doing

  • KPI & Performance Analysis: Collaborate with teams across Pricing, Claims & Fraud, and senior leadership to identify and evaluate key KPIs influencing conversion and performance.
  • Data Accessibility & ETL Design: Make data accessible and digestible for internal and external stakeholders. Partner with Data Engineering to design and implement ETL processes where needed. You will be responsible for the ingestion and the monitoring of the quality of our claims data. 
  • Insight Generation & Strategic Input: Monitor business performance, conduct ad-hoc deep dives, and proactively share insights and recommendations with senior leaders to inform decisions, identify growth opportunities, and mitigate risks
  • Reporting & Dashboard Ownership: Build and maintain robust reports and dashboards (using SQL, Looker, Excel, etc.) to assess and track KPIs over time. Ensure reporting is reliable, timely, and fit for purpose.
  • Forecasting & Modelling Support: Support forecasting and modelling efforts, building a bridge between our commercial push and insurance performance, and to help teams understand the path to business targets and what levers to pull.

About You

    • You have experience in the insurance industry and understand how to connect commercial and insurance metrics, with a solid grasp of how claims processes work.
    • You have worked in analytics teams and have hands-on experience as an analyst, partnering with the business to report, analyse, and draw insights from data.
    • You know how to build dashboards (we use Looker) and possess advanced skills in Excel and SQL.
    • You’re a smart, strategic thinker who enjoys solving problems- not just the ones involving numbers and you’re comfortable executing against tight deadlines in a fast-paced environment.
    • You’re eager to grow in the world of data analytics, expanding your technical skills, exploring different areas of analytics and platforms, and developing your career within the company.
    • You have excellent stakeholder management skills and can confidently engage with people across all levels of seniority. You know how to prioritise a long list of requests into a manageable work plan and set expectations accordingly.
    • You have a team-oriented mindset and see your work as part of the team’s overall success. You’re happy contributing to your own projects or supporting others with theirs.
    • You’re excited by the potential of AI and automation to enhance how you work- whether it’s learning how to write better queries, streamline analysis, or create smarter workflows.

Nice to have:

  • Familiarity with Python or R.
  • Previous experience in a rapidly growing startup, InsurTech, or FinTech.
  • Prior experience in developing ETL processes and financial modelling

What’s it like to work at Zego?

Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve extraordinary things.

We're spread throughout the UK and Europe, and united by our drive to get things done. We're proud of our company and our culture - a friendly and inclusive space where we can lift each other up and celebrate our wins every day.

Together, we're setting the bar higher, delivering exceptional work that makes a difference.

Our people are the most important part of our story, and everyone here plays a role. There's loads of room to learn and grow, and you'll get the freedom to steer your career wherever you want.

You'll work alongside a talented group who embrace each other's differences and aren't afraid of a challenge. We recognise our achievements, learn from our mistakes, and help each other to be the best we can be. Together, we're making insurance matter

How we work

We believe that teams work better when they have time to collaborate and space to get things done. We call it Zego Hybrid. We ask you to spend at least one day a week in our central London office. We think it's a good mix of collaborative face time and flexible home-working, setting us up to achieve the right balance between work and life

Our approach to AI

We believe in the power of AI to meaningfully improve how we work - helping us move faster, think differently, and focus on what matters most. At Zego, we encourage people to stay curious and intentional about how AI is leveraged in their work and teams to drive practical impact every day. This is your chance to do the most meaningful work of your career - and we'll provide you with the tools, support, and freedom to do it well

Benefits

We reward our people well. Join us and you'll get a market-competitive salary, private medical insurance, company share options, generous holiday allowance, and a whole lot of wellbeing benefits. We also offer an annual flexible hybrid working contribution, which you can use to support with your travel to the office or towards your own personal development. And that's just for starters!

There's more to Zego than just a job - Check out our blog for insights, stories, and more.

We're an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability status.



This advertiser has chosen not to accept applicants from your region.

Business Intelligence Product Owner

London, London Hayfin Capital Management

Posted 22 days ago

Job Viewed

Tap Again To Close

Job Description

Permanent

Hayfin's Technology team is committed to providing data-driven insights and innovative solutions across our business operations. As a part of our strategic growth, we are looking for a highly motivated and skilled Business Intelligence Product Owner to join our team. The successful candidate will drive the development and optimisation of solutions that empower key business stakeholders to make data-informed decisions. 

Role Overview: 

The Business Intelligence Product Owner will take ownership of the reporting platform within the organisation, defining and executing the vision for the reporting and analysis solutions and provision of Management Information that aligns with business goals. This includes working closely with internal stakeholders to gather reporting and MI requirements, managing a product backlog, and ensuring that technology capabilities meet both strategic objectives and user needs. The role requires deep knowledge of end user business intelligence tools, a strong understanding of data governance, and the ability to collaborate with both technical and business teams. 

Key Responsibilities: 

  • Reporting Strategy & Vision: Develop and communicate a clear vision and roadmap for the business intelligence product, ensuring alignment with overall business goals and objectives. 
  • Stakeholder Management: Engage with business leaders, data analysts, and other stakeholders to gather and prioritize reporting requirements, ensuring solutions meet their needs and drive value. 
  • Backlog Management: Maintain and prioritize the product backlog, ensuring the team is working on the highest-value features and improvements based on user feedback and business needs. 
  • Reporting Solutions: Own the design, delivery, and optimization of reporting solutions, including dashboards, reports, and self-service analytics tools, ensuring they are actionable and easy to understand for stakeholders. 
  • Process Improvement: Identify and drive continuous improvements in the reporting process, from data extraction and transformation to visualization and interpretation, ensuring reporting systems remain scalable and efficient. 
  • Collaboration with IT, Data & Analytics Teams: Work closely with data engineers, data scientists, and IT teams to ensure that the reporting solutions are integrated with relevant data sources, meet performance standards, and comply with data governance policies. 
  • Quality Assurance: Ensure that reports are accurate, consistent, and reliable. Work with the Engineering team to address any data quality issues impacting the reporting environment. 
  • User Training & Support: Provide training and support for end-users of reporting tools and solutions, ensuring they are equipped to use reporting features effectively for their decision-making. 
  • Performance Metrics: Develop key performance indicators (KPIs) and metrics for evaluating the effectiveness of reporting solutions, ensuring that they deliver actionable insights and support strategic business decisions. 
  • Data Governance: Ensure that all reporting is in compliance with relevant data governance, security, and privacy standards. 
  • Vendor Management:  If external reporting tools or platforms are used, manage relationships with vendors to ensure solutions are effective, scalable, and aligned with business needs. 

Requirements

Experience: 

  • Minimum of 5 years of experience in a product management, product ownership or data consulting role, with a focus on reporting, analytics, or business intelligence (BI) tools. 
  • Strong experience with reporting platforms and BI tools (QlikSense would be beneficial)  
  • Solid understanding of data governance, data quality, and reporting best practices. 
  • Experience working in an agile environment, managing backlogs, and collaborating with cross-functional teams. 
  • Proven ability to understand and translate business needs into technical solutions that provide value to the organization. 

Skills: 

  • Reporting & Analytics Tools Expertise: Proficiency in using and managing BI tools (e.g., Power BI, Tableau, etc.) for creating interactive dashboards, reports, and visualizations. 
  • Data-Driven Decision Making: Strong analytical skills and the ability to interpret complex data and turn it into actionable insights for various stakeholders. 
  • Business Acumen: Ability to understand business objectives and ensure that reporting products align with and support these goals. 
  • Collaboration & Communication: Strong interpersonal and communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders. 
  • Problem-Solving: Ability to address complex reporting challenges and find innovative solutions. 
  • Agile Methodology: Familiarity with Agile frameworks (e.g., Scrum, Kanban) and product management tools (e.g., Jira, Confluence) for managing product backlogs, sprints, and product delivery. 

Education:

  • Bachelor’s degree in Business, Data Science, Computer Science, Engineering, or a related field.
  • Relevant certifications in reporting or data analytics are a plus. 
This advertiser has chosen not to accept applicants from your region.

Management Trainee - Business Intelligence

£18000 - £24000 annum Updraft

Posted 289 days ago

Job Viewed

Tap Again To Close

Job Description

Updraft is an award winning, FCA-authorised, high-growth fintech based in London. Our vision is to revolutionise the way people spend and think about money, by automating the day-to-day decisions involved in managing money and mainstream borrowings like credit cards, overdrafts and other loans.

We are building a complete personal financial service on mobile that provides

  • a 360-degree spending view across all your financial accounts (using Open banking),
  • A free credit report with tips and guidance to help improve your credit score
  • Personalised financial planning using a proprietary mix of automated algorithms and manual advice
  • Intelligent lending products to help reduce cost of credit.
  • Saving products that help users automate their savings

We are looking for a management trainee to help us develop and implement our growth strategies. This position is best suited for candidates who want to gain valuable experience in a managerial role with advancement potential. During your traineeship, you’ll learn how to identify and apply important strategies and business processes. You’ll get to know the nuts and bolts of our company’s functions and operations; you will be responsible to analyse multiple data sets and provide customer insights to help the customers to achieve the best outcomes. This role supports the Business Heads to optimises product marketing, risk and finance and provide them insightful and timely analysis and management information. To succeed in this role, strong analytical skills and effective communication are important management trainee qualifications you should have. If you’re excited with our company’s vision and want to start the path of becoming one of our future leaders, we’d like to hear from you

We are a small team so it is important that the successful candidate is not only technically highly competent, but also a great cultural fit with shared ambition with the rest of the team. The candidate should be prepared to work weekends based on business needs.

Requirements

The perfect addition to the team will have :
  • An independent and self-driven approach
  • a passion for helping people achieve their goals and the ability to take genuine interest
  • A passion for data and analytics - being able to hack around in python and build response, risk, collections and portfolio management models a plus
  • have an interest in finance and have worked with financial data
  • Participate in company’s strategic planning
  • Help managers in evaluating performance (e.g. writing reports, analysing data)
  • Keep track of business revenue
  • Research ways to increase profitability and lower risk
  • You have experience with cloud services, AWS or Google
  • Excellent math and computational ability
  • A degree in Management or Business

Benefits

As an early stage employee in a fast moving startup you have the opportunity to shape the structure of the organisation, team and our business.

A workplace pension scheme.

We welcome applications from all and are fully committed to diversity and equality as an equal opportunities employer.

We also support flexible working.

Further enquires and applications (CV and covering letter) should be sent to .

This advertiser has chosen not to accept applicants from your region.

Student Data & Business Intelligence Analyst

Sidcup, London Educated Appointments

Posted today

Job Viewed

Tap Again To Close

Job Description

We are working with a highly regarded higher education provider to recruit a Student Data & Business Intelligence Analyst. This is a key position within the organisation, responsible for managing and enhancing the institution’s data reporting infrastructure to ensure the delivery of accurate, high-quality information for both statutory compliance and strategic decision-making.


This is a key position within the organisation, responsible for managing and enhancing the institution’s data reporting infrastructure to ensure the delivery of accurate, high-quality information for both statutory compliance and strategic decision-making.


The role offers a hybrid working arrangement, with the successful candidate required to attend the Sidcup campus once a week to collaborate with colleagues, attend key meetings, and engage directly with stakeholders.


As the Student Data & Business Intelligence Analyst, you will be at the forefront of the organisation’s data management, ensuring that systems are optimised, data is reliable, and reporting is insightful. You will design, develop, and maintain high-quality reports, dashboards, and analytical tools to support both operational needs and long-term planning.


You will work closely with the Student Records Team, IT Services, and a range of professional services and academic teams, as well as external statutory bodies such as HESA and the OfS. Your work will directly contribute to improving institutional performance, compliance, and the overall student experience.


  • Data Analysis & Reporting – Create and optimise SQL queries, stored procedures, and views to extract and analyse data efficiently. Build engaging, interactive dashboards in Power BI, and develop SSRS reports for operational, management, and statutory purposes.
  • Data Analysis & Reporting – Create and optimise SQL queries, stored procedures, and views to extract and analyse data efficiently. Build engaging, interactive dashboards in Power BI, and develop SSRS reports for operational, management, and statutory purposes.
  • System Administration – Administer and configure the Student Records System (e.g., UNIT-e), managing workflows, code sets, and user permissions. Collaborate with IT and suppliers to test and implement upgrades and new features.
  • Data Quality & Governance – Implement and monitor data validation processes to ensure accuracy and consistency. Develop data dictionaries and metadata standards, and support data governance initiatives to ensure compliance with GDPR.
  • Statutory Returns – Compile, validate, and submit datasets for HESA, Graduate Outcomes, NSS, and OfS. Reconcile outputs, respond to validation queries, and coordinate with internal stakeholders to maintain accuracy.
  • Project Work & Systems Development – Lead or support projects to improve system capabilities, enhance integrations, and develop ETL processes for combining data from multiple sources such as CRM and VLE platforms.
  • Stakeholder Engagement – Partner with academic and professional colleagues to identify reporting needs and provide data-driven solutions to support decision-making and policy development.


About You

You’ll be a highly capable data specialist with a keen eye for accuracy and a strong understanding of the higher or further education landscape. You will bring:

  • Degree-level qualification in data science, statistics, computer science, or a related field – or equivalent experience.
  • Advanced SQL skills, including joins, subqueries, and performance tuning.
  • Experience building and managing reports in Power BI (including DAX and Power Query) and SSRS .
  • Understanding of data governance frameworks and GDPR compliance.
  • Ability to explain complex technical concepts clearly to non-technical audiences.
  • Strong collaboration and problem-solving skills, with a focus on service delivery.


Desirable experience:

  • Previous work with HESA/OfS returns.
  • Experience with ETL tools such as SSIS or Azure Data Factory.
  • Administration of student record systems such as UNIT-e.
  • Knowledge of REST APIs, JSON, or XML data formats.


Why This Role?

This is more than just a technical role – it’s an opportunity to play a strategic part in shaping how data is used to drive positive change for students and staff alike. You’ll be joining an organisation that values innovation, accuracy, and collaboration, where your expertise will directly impact operational efficiency, compliance, and the student journey.

The hybrid working model offers the flexibility to work from home while ensuring you maintain strong connections with colleagues through regular on-campus collaboration.

This advertiser has chosen not to accept applicants from your region.

Business Intelligence Engineer, EU NFT

London, London Amazon

Posted 5 days ago

Job Viewed

Tap Again To Close

Job Description

Description
Are you seeking a high-impact role with direct exposure to senior leadership? The EU-NFT team is looking for a customer-focused Business Intelligence Engineer with strong analytical and technical expertise to drive performance measurement, innovation, and execution within Fulfillment Center Operations. This role plays a critical part in optimizing Amazon's fulfillment network-enhancing the customer experience through faster delivery promises and enabling cost-efficient fulfillment planning and execution. Partnering with Fulfillment Center Operations and data teams, you will develop analytics dashboards, deep-dive tools, and influence product roadmaps using data insights and AWS services.
We are open to hiring candidates to work out of one of the following locations: London, Luxembourg or Barcelona
Key job responsibilities
As a Business Intelligence Engineer (BIE I), your responsibilities include:
1. Manage Customer Requests: Collaborate with business partners to gather requirements and deliver data-driven solutions, including dashboards, tools, and scalable pipelines.
2. Design and Implement Solutions: Develop and prioritize technical solutions using robust design principles to address business challenges and innovate data infrastructure.
3. Drive Operational Excellence: Establish and promote best practices for efficient, scalable, and reliable data solutions.
A day in the life
As a Business Intelligence Engineer, you'll collaborate with Fulfillment Center Operations and data teams to develop scalable data solutions that drive performance. Your day involves:
- Prioritizing customer requests and delivering actionable insights through dashboards and data tools.
- Designing efficient data models and pipelines using SQL, Redshift, and AWS services.
- Building interactive dashboards with QuickSight or Tableau for real-time decision-making.
- Automating workflows and optimizing BI processes using Python, R, or Java.
- Analyzing large datasets to uncover trends, solve complex challenges, and influence leadership decisions.
About the team
The Network Flow and Technologies (NFT) team is responsible for building data solutions that drive operational efficiency and enhance the Amazon customer experience. We work across the supply chain to optimize for the network, while minimizing complexity and reducing variation to ensure streamlined operations and consistent outcomes. By providing comprehensive reporting, insightful attribution, and accurate forecasting, we empower our stakeholders to understand what happened, why it happened, and what will happen next. We own the results, not just the technology. We rigorously audit outputs with metrics and experiments, ensuring accuracy and holding dependencies accountable for input quality.
Basic Qualifications
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
- Experience with SQL
- Experience in the data/BI space
Preferred Qualifications
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.

Business Intelligence Engineer - 12 month FTC, Fleet planning & Capacity

London, London Amazon

Posted 18 days ago

Job Viewed

Tap Again To Close

Job Description

Description
* 12 Month, Fixed Term Contract*
Have you ever ordered a product on Amazon and wondered how that package got to you so fast? Have you ever wondered where it came from and what series of events helped make that delivery possible? If so, the EU - Global Fleet and Products (GFP) - Fleet planning and Capacity team (FPAC) is for you!
Behind every Amazon delivery is a complex network of planning and execution. As part of the European Global Fleet and Products (GFP) - Fleet Planning and Capacity team (FPAC), you'll help optimize this journey
We work with large amounts of novel data and provide insights that help deliver billions of packages to customers every year. We focus on everything from high-level to granular data and insight generation, primarily supporting the Fleet planning teams automation and operational excellence projects / data asset development.
The GFP Fleet planning and Capacity team is looking for a customer obsessed Business Intelligence Engineer (BIE) to shape how we use data to develop high efficiency Fleet planning tools, in the Last Mile space. As a BIE on the FPAC team, you will develop and lead new technical solutions that supports critical process improvement automations.
To be successful in this role, you'll need to be a diligent time/project manager, strong communicator, and problem solver extraordinaire. You'll work on large, complex initiatives with a high degree of ambiguity, and you'll also advocate on behalf of customers. Great candidates will use data and analytic engineering to drive changes across multiple organizations.
This role is located out of Luxembourg.
In this position you will:
- Engineer critical input and output metrics
- Create performance metrics to measure operational performance, identify root causes and trends, and prescribe action plans for delivery stations around the globe
- Manage metrics across multiple projects simultaneously
- Work with product, technology, and analytics teams to support the development of tools and dashboards
- Communicate with and support various internal stakeholders and external audiences
- Learn, explore, apply, and gain expertise in many internal Amazon data and public AWS products including Glue, Redshift, Quicksight, and Lambda
Basic Qualifications
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with SQL
- Experience in the data/BI space
Preferred Qualifications
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
Be The First To Know

About the latest Data analysis Jobs in London !

Sr. Business Intelligence Engineer, Prime Video Store, EU TVOD

London, London Amazon

Posted 18 days ago

Job Viewed

Tap Again To Close

Job Description

Description
Come build the future of entertainment with us. Are you interested in helping the future of movies and television? Do you want to help the next generation of how and what Amazon customers are watching?
Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at any time and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.
We are seeking a Sr. Business Intelligence Engineer (BIE) for our Prime Video Store business across Europe. As BIE you will work closely with our business and finance teams building statistical or machine learning models that drive performance improvements for the business. Key focus areas will be customer insights and engagement as well as overall process optimization. You will act as a consultant to the business surfacing deep insights, providing easy to use tools for analysis and reporting as well as generating actionable learnings for the team. Data-driven decision-making is at the core of Amazon's culture and this role will have a direct impact on the decisions and strategy of the Prime Video Store across multiple territories in Europe.
The role can be based in Munich or London.
Key job responsibilities
- Work with Marketing, Vendor Management, Content Acquisition Management and leadership to identify data needs and requirements
- Build mechanisms to surface knowledge and learnings about to the business
- Set up and maintain self-service infrastructure (e.g. dashboards) for the team in Tableau and other data tools
- Generate and present concrete and actionable insights and recommendations for leadership based on sound methodological analysis
- Proactively create new metrics that represent key inputs/outputs of the business
- Support automation processes across the team
- Work closely with finance team on regular analyses and reporting
Basic Qualifications
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience with SQL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience in the data/BI space
Preferred Qualifications
- Experience managing, analyzing and communicating results to senior leadership
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.

Sr. Business Intelligence Engineer, Prime Video Channels - Customer Insights

London, London Amazon

Posted 18 days ago

Job Viewed

Tap Again To Close

Job Description

Description
Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching?
Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows including Amazon Originals and exclusive licensed content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 200 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.
We are seeking a (Sr.) Business Intelligence Engineer (BIE) for our Prime Video Channels (Add-On) business across Europe. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. As BIE you will work closely with our business and finance teams building analytical and statistical/machine learning solutions that drive performance improvements for the business. Key focus areas will be customer insights and engagement as well as overall process optimization. You will act as a consultant to the business surfacing deep insights, providing easy to use tools for analysis and reporting as well as generating actionable learnings for the team. Data-driven decision-making is at the core of Amazon's culture and this role will have a direct impact on the decisions and strategy of the Prime Video Channels across multiple territories in Europe.
Key job responsibilities
- Work with Marketing, Partner Management, Content Acquisition Management, other BIE and leadership to identify data needs and requirements
- Build mechanisms to surface knowledge and learnings about to the business
- Set up and maintain self-service infrastructure (e.g. dashboards) for the team
- Generate and present concrete and actionable insights and recommendations for leadership based on sound methodological analysis
- Proactively create new metrics that represent key inputs/outputs of the business
- Support automation processes across the team
- Lead large scale projects data and analytical projects that help scale the business across the EU, or Worldwide
- Work closely with finance team on regular analyses and reporting
Basic Qualifications
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience working directly with business stakeholders to translate between data and business needs
- Experience in the data/BI space
- Experience with data visualization using Tableau, Quicksight, or similar tools
Preferred Qualifications
- Experience managing, analyzing and communicating results to senior leadership
- Master's degree in statistics, data science, or an equivalent quantitative field
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.

Media Operations and Business Intelligence Manager, EU XCM Media Team

London, London Amazon

Posted 18 days ago

Job Viewed

Tap Again To Close

Job Description

Description
The EU XCM Media Team (Cross-Category, Cross-Channel, Cross-Country Marketing) is looking for a Media Operations and Business Intelligence Manager, with a strong background of media planning, budget management and campaign measurement. The ideal candidate will also bring knowledge of media tech and tools solutions to enable the organization to automate and standardize media planning processes.
You will be contributing to the long-term product vision of the EU XCM Media Team by supporting multiple functional areas of cross-channel media planning including buying, finance, campaign reporting and measurement. You will be responsible for reoccurring governance, validation and audit exercises of existing solutions. You will work closely with global measurement team, external agency partners and service providers to develop, standardize and optimize data pipelines and operational parameters that can be applied consistently across 12+ European countries while capturing local nuances. You will collaborate with our tech & tools team on the development of automated processes in order to simplify media analytic and financial reporting processes (e.g. budget tracking dashboard and visualization tools) across Europe.
You will work with the Media BI Manager and Media Managers to gather inputs and manage the reporting of various initiatives (such as business reviews, budget reporting, econometric reports) back to the wider business. To be successful in this role, you will have a background in ATL media, media analytics and operations or large-scale performance marketing, and apply this to develop processes and tools that turn complex workflows into simple, delightful customer experiences. You have a mix of strategic vision and hands-on project management skills, and are comfortable embracing ambiguity. Your ability to quickly understand the business context and priorities, together with your analytical, creative and problem-solving mind, will lead you to deliver against tangible business metrics. You have excellent written & verbal communication skills and are able to juggle multiple priorities at the same time. You are able to work autonomously, adept at building positive relationships across a wide range of teams, functions and locations, and have demonstrable experience in stakeholder engagement.
We are looking for someone who is highly organized and comfortable working in a fast-moving, dynamic and data driven environment. This role is based at our Amazon corporate office in London/UK or Munich/DE.
Key job responsibilities
- Automate: Identify opportunities to standardize, off-shore or automate tasks to save time and eliminate inefficient processes.
- Cross-functional collaboration: Work closely with Media Planning, Measurement & Research, Business Intelligence, and Finance to ensure alignment, streamline processes, and drive results.
- Technology implementation: Evaluate, recommend, and implement marketing technologies and automation tools to enhance operational efficiency and enable marketing success.
- Partner with external auditors to monitor media buying performance and report back results to the wider team and stakeholders as well as identify opportunities to improve media buying efficiency.
- Build trustworthy relationships with internal finance teams, media and measurement agency partners, and research department.
- Mine and synthesize media planning research, media budget management and business insights.
- Partner with our external media agency, internal and external measurement partners across Europe and US central team, aligning measurement project and supporting data collection, acquisition and validation.
Basic Qualifications
- 6+ years relevant professional experience in media planning, media finance or media buying.
- Have experience in media research, insights or data analytics.
- Robust technical knowledge of media buying and reporting systems.
- Solid understanding of UK or DE media landscape. Experience in more than one local would be beneficial but not essential.
- Demonstrated ability to coordinate projects across functional teams (e.g. Measurement, Analytics, Media, Finance) and external partners (e.g. Media Agency).
- Advanced proficiency in Excel and Word.
- English language skills required (business fluent).
- Outstanding verbal, written, and presentation skills.
- Bachelor's degree or equivalent.
Preferred Qualifications
- Media agency experience or in-house agency experience (planning, insights or commercials).
- Knowledge of either retail, FMCG or entertainment categories.
- Experience of media planning in multiple EU countries.
- Smartsheet certified
- Basic SQL skills
- Strong quantitative and analytical skills including working with budgets and numbers.
- Highly detail-oriented, have excellent organizational skills, and ability to multi-task.
- Self-motivation, flexibility and an impeccable attention to detail.
- Intense bias for action in a fast-paced, sometimes ambiguous environment.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
 

Nearby Locations

Other Jobs Near Me

Industry

  1. request_quote Accounting
  2. work Administrative
  3. eco Agriculture Forestry
  4. smart_toy AI & Emerging Technologies
  5. school Apprenticeships & Trainee
  6. apartment Architecture
  7. palette Arts & Entertainment
  8. directions_car Automotive
  9. flight_takeoff Aviation
  10. account_balance Banking & Finance
  11. local_florist Beauty & Wellness
  12. restaurant Catering
  13. volunteer_activism Charity & Voluntary
  14. science Chemical Engineering
  15. child_friendly Childcare
  16. foundation Civil Engineering
  17. clean_hands Cleaning & Sanitation
  18. diversity_3 Community & Social Care
  19. construction Construction
  20. brush Creative & Digital
  21. currency_bitcoin Crypto & Blockchain
  22. support_agent Customer Service & Helpdesk
  23. medical_services Dental
  24. medical_services Driving & Transport
  25. medical_services E Commerce & Social Media
  26. school Education & Teaching
  27. electrical_services Electrical Engineering
  28. bolt Energy
  29. local_mall Fmcg
  30. gavel Government & Non Profit
  31. emoji_events Graduate
  32. health_and_safety Healthcare
  33. beach_access Hospitality & Tourism
  34. groups Human Resources
  35. precision_manufacturing Industrial Engineering
  36. security Information Security
  37. handyman Installation & Maintenance
  38. policy Insurance
  39. code IT & Software
  40. gavel Legal
  41. sports_soccer Leisure & Sports
  42. inventory_2 Logistics & Warehousing
  43. supervisor_account Management
  44. supervisor_account Management Consultancy
  45. supervisor_account Manufacturing & Production
  46. campaign Marketing
  47. build Mechanical Engineering
  48. perm_media Media & PR
  49. local_hospital Medical
  50. local_hospital Military & Public Safety
  51. local_hospital Mining
  52. medical_services Nursing
  53. local_gas_station Oil & Gas
  54. biotech Pharmaceutical
  55. checklist_rtl Project Management
  56. shopping_bag Purchasing
  57. home_work Real Estate
  58. person_search Recruitment Consultancy
  59. store Retail
  60. point_of_sale Sales
  61. science Scientific Research & Development
  62. wifi Telecoms
  63. psychology Therapy
  64. pets Veterinary
View All Data Analysis Jobs View All Jobs in London