274 Data Mining jobs in the United Kingdom

Data Scientist II, Growth Analytics

London, London Moloco

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About Moloco:

Moloco is a machine learning company empowering organizations of all sizes to grow and unlock the full value of their unique first-party data, elevating the traditional path to performance advertising. While the largest technology companies have proven the speed and scale of ad-targeting utilizing data— the same robust performance powered by machine learning has previously been unavailable beyond their platforms.

That's where Moloco steps in. With Moloco's powerful combination of cutting-edge machine learning technologies, we play a unique and visible role in shaping the digital economy, all while allowing companies to stay independent and scale.

An industry leader at the nexus of machine learning, performance marketing, and visionary product infrastructure, Moloco is advancing the advertising technology industry. We ranked in the top 10% of the Inc. 5000 fastest-growing private companies for 2023. Recognized as one of 46 leading Cloud Computing companies, receiving the Stratus Award for 2023 . In 2023, we received Google’s Cloud DevOps Dreamers Award , a recognition given to companies that are implementing DevOps practices to drive organizational success and high performance. Lastly, Moloco is a 2024-certified Great Place to Work ! Check us out on Glassdoor and be sure to get an inside look at working at Moloco on Instagram , Twitter , and YouTube .

Moloco is headquartered in Silicon Valley, with offices in San Francisco, New York, Los Angeles, Seattle, London, Berlin, Seoul, Singapore, Beijing, Gurgaon, Bangalore, Tel Aviv and Tokyo.

Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging will allow us the greatest opportunity to carry out our mission -- to empower businesses of all sizes to grow through operational machine learning.

Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!

The Impact You'll Be Contributing to Moloco:

Data Science and Analytics (DSA) is a global team of data scientists. As aData Scientist II you will provide data products, e.g. raw data, campaign facts, growth insights to help customers improve campaign performance and maximize their business goals with Moloco.

Here’s what you’ll be working on:

Moloco Data Scientists contribute in the following areas, all while working cross-functionally to help meet our client’s needs and advance our machine learning models.

  • Data Analysis: data gathering, analysis and effective communication of presentations and recommendations to multiple levels of stakeholders. You’ll be responsible for creating custom visual displays of quantitative information through writing queries, scripts, and developing automated reports and dashboards to provide insights at scale.
  • Data validation: verifying the data we obtain from ad exchanges and mobile-app tracking solutions to confirm our campaign models are trained with the most accurate engagement data.
  • Campaign optimization: engaging in the life cycle of campaigns, from monitoring daily performance to partnering with sales teams on bespoke analysis for clients.
  • Business Collaboration: collaborate with key stakeholders to help Moloco focus on decisions that improve our products and services, with a focus on client growth.

How Will You Know if the Role is Right For You?

Minimum Requirements:

  • Bachelor's degree in a quantitative field with 4+ years work experience in data analytics using statistical packages (e.g., SQL, Python, R, SAS, Stata, MATLAB).
    Or Master’s degree with 2+ years data analytics work experience using statistical packages or a PhD in a quantitative field.
  • Programming: working knowledge of SQL and Python (or R) is required.
  • Statistics: must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis such as regression or time-series analysis.
  • Comfortable balancing multiple projects simultaneously and effectively prioritizing work based on business needs.
  • Excellent verbal and written communication skills, with ability to present information and analysis results effectively to technical and less technical stakeholders.
  • Ability to build positive relationships within data science & analytics community, as well as with our business stakeholders and clients.,
  • Ability to work effectively with cross-functional and cross-cultural partners.
  • An interest in data, metrics, analysis, and trends from the mindset of helping a customer-centric business. Know when to apply statistical measurement vs 80-20 analysis for business growth.

Preferred:

  • Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences).
  • Professional experience in marketing science, ideally within the ad-tech sector.
  • Ability to manage multiple projects at the same time while paying attention to detail.
  • Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets and using statistics to arrive at a recommendation.
  • Proven ability to own projects end-to-end, even when you have to get creative: you do more than completing delegated tasks.
  • Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.
  • Ability to seek out new business questions and effectively scope projects to support client growth, reengagement and overall campaign strategy and performance.

Moloco Thrive: Benefits and Well-Being:

We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives. For an overview of our global benefits, click here .

Moloco Values

  • Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
  • Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
  • Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
  • Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.

Additional Resources:

Equal Opportunity:

Moloco is an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression, and gender identity, sexual orientation, marital status, ancestry, physical or mental disability, military and veteran status, or any other characteristic protected by law.

Candidate Privacy Notice:

Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice .

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Remote Data Scientist (Mining Analytics)

LS1 1UR Leeds, Yorkshire and the Humber £50000 Annually WhatJobs

Posted 1 day ago

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full-time
Our client, a global leader in the mining industry, is looking for a highly skilled and motivated Remote Data Scientist specializing in Mining Analytics. This fully remote position offers the opportunity to leverage vast datasets to drive operational efficiency, improve safety, and optimize resource extraction across diverse mining operations worldwide. The successful candidate will play a key role in developing advanced analytical models, implementing machine learning solutions, and translating complex data into actionable insights for strategic decision-making.

Key Responsibilities:
  • Develop and implement advanced statistical and machine learning models to analyze mining data, including geological, operational, and financial information.
  • Identify patterns, trends, and anomalies in large datasets to uncover insights related to ore grade, production efficiency, equipment performance, and safety.
  • Design and build data pipelines for data ingestion, cleaning, transformation, and feature engineering specifically for mining applications.
  • Collaborate with geologists, engineers, and operational managers to understand their challenges and translate them into data science problems.
  • Develop predictive models for equipment failure, resource estimation, and production forecasting.
  • Create interactive dashboards and visualizations to communicate complex findings to technical and non-technical stakeholders.
  • Stay abreast of the latest advancements in data science, machine learning, and their applications in the mining sector.
  • Ensure data quality, integrity, and security across all analytical processes.
  • Contribute to the strategic roadmap for data analytics within the mining operations.
  • Mentor junior data analysts and scientists.

Qualifications:
  • Master's or Ph.D. in Data Science, Statistics, Computer Science, Mining Engineering, or a related quantitative field.
  • Proven experience (minimum 5 years) as a Data Scientist with a strong focus on applying advanced analytics and machine learning techniques.
  • Demonstrated experience in the mining or natural resources sector, with a deep understanding of mining processes and data types.
  • Proficiency in programming languages such as Python or R, and associated data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
  • Experience with database technologies (SQL, NoSQL) and big data platforms (e.g., Spark).
  • Strong knowledge of statistical modeling, machine learning algorithms, and data mining techniques.
  • Excellent data visualization skills (e.g., Tableau, Power BI, Matplotlib).
  • Exceptional problem-solving abilities and a curious, analytical mindset.
  • Strong communication and interpersonal skills, with the ability to explain technical concepts clearly.
  • Ability to work independently and manage projects effectively in a remote setting.

This fully remote role offers a highly competitive salary, comprehensive benefits, and the opportunity to make a significant impact on global mining operations. Join a forward-thinking company at the forefront of technological innovation in the industry.
This advertiser has chosen not to accept applicants from your region.

Remote Data Scientist - Mining Operations

L3 1DD Liverpool, North West £55000 Annually WhatJobs

Posted today

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full-time
Our client, a global leader in the mining sector, is seeking a skilled Data Scientist to join their innovative team on a fully remote basis. This is an exceptional opportunity to leverage advanced analytics and machine learning techniques to optimize mining operations, enhance safety, and drive efficiency across international sites. You will work with vast datasets to uncover actionable insights and shape critical business decisions.

As a Data Scientist, you will be responsible for the end-to-end process of data analysis, from data acquisition and cleaning to model development and deployment. You will collaborate closely with operational teams, geologists, and engineers to identify key challenges and opportunities where data-driven solutions can make a significant impact. This role requires a strong understanding of statistical modeling, machine learning algorithms, and data visualization tools.

Key Responsibilities:
  • Develop and implement predictive models to forecast equipment performance, operational efficiency, and resource extraction.
  • Analyze large and complex datasets from various sources (e.g., sensor data, geological surveys, operational logs) to identify patterns and trends.
  • Design and build machine learning pipelines for tasks such as anomaly detection, process optimization, and risk assessment.
  • Create compelling data visualizations and reports to communicate findings to both technical and non-technical stakeholders.
  • Collaborate with subject matter experts to define key performance indicators (KPIs) and data requirements.
  • Implement and deploy models into production environments, monitoring their performance and iterating as needed.
  • Stay current with the latest advancements in data science, machine learning, and big data technologies.
  • Contribute to the development of data strategy and best practices within the organization.
  • Ensure data integrity, quality, and security throughout all analytical processes.
The ideal candidate will hold a Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field, with at least 4 years of professional experience as a Data Scientist. Proven expertise in Python or R, along with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch, is essential. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure) is highly desirable. Excellent communication and problem-solving skills, coupled with the ability to work autonomously in a fully remote setting, are crucial for this role.
This advertiser has chosen not to accept applicants from your region.

Data & Analytics Manager

Caerphilly, Wales £70000 - £85000 Annually CPS Group (UK) Limited

Posted 4 days ago

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Job Description

permanent
Job Title: Data & Analytics Manager
Location: South Wales
Salary: 70,000 - 85,000 (DOE) + benefits

Overview

CPS Group are looking for an experienced Data & Analytics Manager to lead a team of three and drive high-impact data initiatives. This is a hands-on leadership role, blending people management with advanced technical delivery, working closely with senior stakeholders to shape business strategy through data.

Key Responsibilities

Lead, mentor, and develop a team of three data analysts, fostering a high-performance culture.

Translate business requirements into actionable analytics strategies and technical solutions.

Build, maintain, and improve Python-based machine learning models, including those used for customer engagement predictions.

Apply statistical methods and data mining to uncover insights and support decision-making.

Recommend and implement the right analytics tools for the job.

Manage and run A/B testing programmes to inform strategy.

Deliver ad-hoc and large-scale analysis using Python, SQL, and Excel.

Oversee the full lifecycle of data products, ensuring scalability and continuous improvement.

Essential Skills & Experience

Proven background in data and analytics, including recent experience leading and developing a team


Strong technical expertise in Python, SQL, and Excel.

Solid grounding in statistical methods and machine learning techniques.

Hands-on experience building and deploying machine learning models-be ready to talk about what you've built.

Proficiency in A/B testing design, execution, and interpretation.

Knowledge of a range of analytics tools, with the ability to advise on the best fit for specific projects.

Excellent communication skills for engaging with senior stakeholders and presenting findings.


Contact: Zach Bennett - CPS Group

By applying to this advert you are giving CPS Group (UK) Ltd authority to hold and process your data for this specific role and any other roles we may deem suitable to you over time. We will not pass your data to any third party without your verbal or written permission to do so. All incoming and outgoing calls are recorded for training and compliance purposes. CPS Group (UK) Ltd is acting as an Employment Agency in relation to this vacancy. Our new privacy policy can be found here (url removed)>
This advertiser has chosen not to accept applicants from your region.

Data Analytics Lead

Greater London, London £70000 - £75000 Annually Vantify

Posted 10 days ago

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Job Description

permanent

Data Analytics Lead

Location: Remote, United Kingdom

Salary:  £70k - 75k per year + Benefits

Job type : Permanent

About us

Axiom GRC is a leading Governance, Risk and Compliance (GRC) SaaS and Services group. Our Enterprise Division, comprising of three Business Units, is seeking a Data Lead to support its long-term growth. The focus for this role will be to support our Vantify business. Through Vantify’s unique compliance ecosystem, we deliver integrated platforms that enhance visibility, increase productivity, and minimise risk. Trusted by leading organisations like Ambassador Theatre Group, CompassRock and CEG, our integrated products cover every aspect of compliance, from risk assessments to supply chain management. When everything works together, you can spend more time on other things that matter to your business. That’s why our products have been designed to integrate with each other, helping you save time, maximise performance and maintain compliance.

About the role

As the Data Lead for our Enterprise Division, you will play a crucial role in shaping and executing the division’s strategy through data. In addition to analysing data, you will work closely with the division’s senior leadership teams to provide strategic insights that drive decision making and enhance operations. You will initially report to the Group Head of Data, with a dotted line to Vantify’s Chief Product Officer. Your work will enhance the division’s data capability and culture, while also driving the prioritisation and execution of key strategic projects on the roadmap.

While there will be Analytics and Data Engineering support, this role requires you to take a hands on approach, contributing both strategically and operationally.

We value attitude as much as aptitude. We're looking for someone who can build data driven solutions from the ground up, adapt to changing business needs and work effectively with diverse stakeholders to integrate these solutions into our broader business strategy and operations.

What you’ll be getting up to

  • Operationalise our existing data assets and champion them throughout the businesses.
  • Coach, mentor and lead the wider user teams, driving continuous improvement and adoption of information-driven decisions.
  • Establish data governance practices ensuring data accuracy, consistency and reliability across divisional systems and our reporting estate
  • Develop high-performance data solutions that produce tangible business value and further enable our data-driven approach using dbt, Snowflake, and Power BI
  • Collaborate with business stakeholders to drive commercial outcomes through data, showcasing a willingness to provide fine-grained reporting to any area of the business

What we're looking for

The ideal candidate for this role will demonstrate behaviours that reflect our core values. Our colleagues are approachable and optimistic, focusing on solutions. We listen to understand client needs, delivering expert guidance and a high-quality service. We foster collaboration by sharing knowledge openly and supporting others to thrive by sharing well-considered feedback. We continuously strive for improvement by being open to challenge, being curious and focusing on innovation. 

In order to excel in this role you need…

  • To know how to do this – you have 4+ years prior experience in a data analytics role with strong data modelling skills and exposure to dbt, Snowflake (or similar cloud data warehouse) and Power BI (or another Visualisation tool)
  • To be self-motivated – you’re resilient and a proactive individual with ability to work independently and drive projects forward
  • To showcase strong communication skills – you can translate technical concepts to non-technical audiences and must be able to confidently communicate to a strategic level
  • Have worked with a similar business – you have experience in SaaS and/or Services businesses with a particular focus on any of: Sales Pipeline Reporting, Product Analytics and Service Delivery Metrics
  • Knowledge of Python or other programming languages, whilst this is not essential, it could be beneficial in this role

Why join us?

We put people first—whether it’s our customers or our colleagues. When you join us, you’ll be part of a supportive team that values collaboration, innovation, and professional growth. We’ll give you the tools and opportunities to succeed, while ensuring you feel valued every step of the way.

Our benefits

We aim to support our colleagues both professionally and personally. Here’s a snapshot of what we offer:

  • Salary: £0,000 - 5,000 per annum
  • Location: Hybrid between working from home and our London office. There will also be occasional travel to divisional offices across the UK
  • Working Pattern: Monday to Friday, 9am to 5:30pm
  • Annual Leave: 25 days holiday in addition to usual bank holidays.
  • Wellbeing – Health cash plan, paid sick leave, gym discounts, cycle to work scheme and an enhanced employee assistance programme
  • Financial – salary sacrifice pension scheme, exclusive discounts and rewards for 1,000s of retailers
  • Family – we enhance statutory entitlements for family leave policies and you’ll be covered under our Group Life Insurance for 3x salary
  • Community – volunteer days and religious holiday swaps
  • Social – we host an annual conference to get the whole business together as well as our team of Social Champions who arrange regular events for inside and outside of work
  • Development – we’ll cover the cost of a professional membership fee, support your personal and professional development and provide you with access to our online learning library

INDLS 

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

Data & Analytics Manager

Caerphilly, Wales CPS Group (UK) Limited

Posted 8 days ago

Job Viewed

Tap Again To Close

Job Description

full time
Job Title: Data & Analytics Manager
Location: South Wales
Salary: 70,000 - 85,000 (DOE) + benefits

Overview

CPS Group are looking for an experienced Data & Analytics Manager to lead a team of three and drive high-impact data initiatives. This is a hands-on leadership role, blending people management with advanced technical delivery, working closely with senior stakeholders to shape business strategy through data.

Key Responsibilities

Lead, mentor, and develop a team of three data analysts, fostering a high-performance culture.

Translate business requirements into actionable analytics strategies and technical solutions.

Build, maintain, and improve Python-based machine learning models, including those used for customer engagement predictions.

Apply statistical methods and data mining to uncover insights and support decision-making.

Recommend and implement the right analytics tools for the job.

Manage and run A/B testing programmes to inform strategy.

Deliver ad-hoc and large-scale analysis using Python, SQL, and Excel.

Oversee the full lifecycle of data products, ensuring scalability and continuous improvement.

Essential Skills & Experience

Proven background in data and analytics, including recent experience leading and developing a team


Strong technical expertise in Python, SQL, and Excel.

Solid grounding in statistical methods and machine learning techniques.

Hands-on experience building and deploying machine learning models-be ready to talk about what you've built.

Proficiency in A/B testing design, execution, and interpretation.

Knowledge of a range of analytics tools, with the ability to advise on the best fit for specific projects.

Excellent communication skills for engaging with senior stakeholders and presenting findings.


Contact: Zach Bennett - CPS Group

By applying to this advert you are giving CPS Group (UK) Ltd authority to hold and process your data for this specific role and any other roles we may deem suitable to you over time. We will not pass your data to any third party without your verbal or written permission to do so. All incoming and outgoing calls are recorded for training and compliance purposes. CPS Group (UK) Ltd is acting as an Employment Agency in relation to this vacancy. Our new privacy policy can be found here (url removed)>
This advertiser has chosen not to accept applicants from your region.

Data Analytics Lead

Greater London, London Vantify

Posted 13 days ago

Job Viewed

Tap Again To Close

Job Description

full time

Data Analytics Lead

Location: Remote, United Kingdom

Salary:  £70k - 75k per year + Benefits

Job type : Permanent

About us

Axiom GRC is a leading Governance, Risk and Compliance (GRC) SaaS and Services group. Our Enterprise Division, comprising of three Business Units, is seeking a Data Lead to support its long-term growth. The focus for this role will be to support our Vantify business. Through Vantify’s unique compliance ecosystem, we deliver integrated platforms that enhance visibility, increase productivity, and minimise risk. Trusted by leading organisations like Ambassador Theatre Group, CompassRock and CEG, our integrated products cover every aspect of compliance, from risk assessments to supply chain management. When everything works together, you can spend more time on other things that matter to your business. That’s why our products have been designed to integrate with each other, helping you save time, maximise performance and maintain compliance.

About the role

As the Data Lead for our Enterprise Division, you will play a crucial role in shaping and executing the division’s strategy through data. In addition to analysing data, you will work closely with the division’s senior leadership teams to provide strategic insights that drive decision making and enhance operations. You will initially report to the Group Head of Data, with a dotted line to Vantify’s Chief Product Officer. Your work will enhance the division’s data capability and culture, while also driving the prioritisation and execution of key strategic projects on the roadmap.

While there will be Analytics and Data Engineering support, this role requires you to take a hands on approach, contributing both strategically and operationally.

We value attitude as much as aptitude. We're looking for someone who can build data driven solutions from the ground up, adapt to changing business needs and work effectively with diverse stakeholders to integrate these solutions into our broader business strategy and operations.

What you’ll be getting up to

  • Operationalise our existing data assets and champion them throughout the businesses.
  • Coach, mentor and lead the wider user teams, driving continuous improvement and adoption of information-driven decisions.
  • Establish data governance practices ensuring data accuracy, consistency and reliability across divisional systems and our reporting estate
  • Develop high-performance data solutions that produce tangible business value and further enable our data-driven approach using dbt, Snowflake, and Power BI
  • Collaborate with business stakeholders to drive commercial outcomes through data, showcasing a willingness to provide fine-grained reporting to any area of the business

What we're looking for

The ideal candidate for this role will demonstrate behaviours that reflect our core values. Our colleagues are approachable and optimistic, focusing on solutions. We listen to understand client needs, delivering expert guidance and a high-quality service. We foster collaboration by sharing knowledge openly and supporting others to thrive by sharing well-considered feedback. We continuously strive for improvement by being open to challenge, being curious and focusing on innovation. 

In order to excel in this role you need…

  • To know how to do this – you have 4+ years prior experience in a data analytics role with strong data modelling skills and exposure to dbt, Snowflake (or similar cloud data warehouse) and Power BI (or another Visualisation tool)
  • To be self-motivated – you’re resilient and a proactive individual with ability to work independently and drive projects forward
  • To showcase strong communication skills – you can translate technical concepts to non-technical audiences and must be able to confidently communicate to a strategic level
  • Have worked with a similar business – you have experience in SaaS and/or Services businesses with a particular focus on any of: Sales Pipeline Reporting, Product Analytics and Service Delivery Metrics
  • Knowledge of Python or other programming languages, whilst this is not essential, it could be beneficial in this role

Why join us?

We put people first—whether it’s our customers or our colleagues. When you join us, you’ll be part of a supportive team that values collaboration, innovation, and professional growth. We’ll give you the tools and opportunities to succeed, while ensuring you feel valued every step of the way.

Our benefits

We aim to support our colleagues both professionally and personally. Here’s a snapshot of what we offer:

  • Salary: £0,000 - 5,000 per annum
  • Location: Hybrid between working from home and our London office. There will also be occasional travel to divisional offices across the UK
  • Working Pattern: Monday to Friday, 9am to 5:30pm
  • Annual Leave: 25 days holiday in addition to usual bank holidays.
  • Wellbeing – Health cash plan, paid sick leave, gym discounts, cycle to work scheme and an enhanced employee assistance programme
  • Financial – salary sacrifice pension scheme, exclusive discounts and rewards for 1,000s of retailers
  • Family – we enhance statutory entitlements for family leave policies and you’ll be covered under our Group Life Insurance for 3x salary
  • Community – volunteer days and religious holiday swaps
  • Social – we host an annual conference to get the whole business together as well as our team of Social Champions who arrange regular events for inside and outside of work
  • Development – we’ll cover the cost of a professional membership fee, support your personal and professional development and provide you with access to our online learning library

INDLS 

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

Data & Analytics Lead

York, Yorkshire and the Humber Nestle

Posted today

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Job Description

**Position Snapshot**
Nestle UK&I
Data & Analytics Lead
York
Salary £75,000 (depending on experience) + Potential bonus + Car allowance + Pension + 25days holiday + 12 days flex leave.
Championing diversity and inclusion is so important to us; when we embrace different perspectives and give everyone the chance to be the best they can be, we can think in new, creative ways that grow and enhance our business.  
At Nestlé we are proud to support and provide equality of opportunity that supports employees to effectively blend their work life and commitments through hybrid and flexible working arrangements, so speak to us to understand what this could look like for you.
**Position Summary**
Are you passionate about data and its transformative power in driving business success? Nestlé is seeking a dedicated Local Data Analytics Leader to spearhead our data governance and analytics initiatives in alignment with the Zone Europe Chief Data Officer roadmap. In this pivotal role, you will collaborate closely with the ZEUR Solutions Architect and the Zone Europe Governance Lead to design and execute a robust local Data Governance strategy.
As the guardian of data integrity and quality, you will leverage data assets and raw sources to tackle business challenges and provide actionable insights tailored to our market needs. You will own a value-driven portfolio of data and analytics use cases that align with our business strategy, driving innovation and showcasing value through agile methodologies.
Key Responsibilities:
+ Lead the local data and analytics communities, ensuring effective collaboration among Stakeholders.
+ Act as a key partner to the ZEUR Chief Data Officer, supporting the deployment of Connect initiatives and prioritising data analytics use cases for evaluation by the ZEUR Digital Leadership team.
+ Manage business rules evolution, monitor data quality, and ensure compliance with Nestlé standards.
+ Empower your team to develop and implement data governance practices that enhance the quality of data for analytics use cases.
+ Proactively identify opportunities for process improvements and coordinate data literacy development programs across all functions and categories.
If you are ready to make a significant impact in a dynamic environment and help shape the future of data analytics at Nestlé, we want to hear from you! Join us in our mission to drive data excellence and empower our teams with the insights they need to succeed.
**A day in the life of a Digital Lead**
In this critical role, you will be responsible for creating compelling business cases that outline the costs, benefits, and impacts of various data analytics use cases. Your insights will be presented to the Zone Digital Leadership Team, influencing strategic decisions and driving our data-driven culture forward. In addition to this you will engage with key stakeholders to ensure alignment and support for data initiatives, identifying opportunities to leverage analytical techniques for impactful business solutions. You will advocate for data technology enablement, particularly tools related to Connect, and facilitate change management to ensure the successful adoption of new processes and ways of working.
Key Responsibilities:
+ Develop and execute a robust data analytics roadmap.
+ Create and document business cases for analytics initiatives, detailing necessary costs, benefits, and impacts.
+ Coordinate with data providers to ensure your team has access to the required data in the right scope, quality, and formats for successful project execution.
+ Build and nurture relationships with stakeholders to drive alignment and support for data initiatives.
+ Showcase data technology opportunities and advocate for best practices within the analytics and governance community.
+ Communicate the department's initiatives and results internally and externally at conferences and industry events.
+ Provide expertise on data strategy, trends, and risks, while enhancing data literacy through capability building and training.
+ Collaborate with senior leadership and cross-functional teams to elicit and document governance requirements.
+ You will lead best practices for data providers, assets, and products, focusing on resolving Master Data roadblocks in partnership with Nestlé Group.
+ You will also support business governance processes and work closely with the ZEUR Solutions Architect to ensure compliance with data security guidelines.
**What will make you successful**
To be successful in this role you will have a breadth of experience within data analytics. You'll have an excellent eye for detail and understand how your decisions impact the wider business strategy. You'll also have great communication skills that enable you to challenge and influence across all levels whilst being able to develop positive stakeholder relationships. Being proactive and challenging in order to arrive at a resolution is a must, as is having a real desire to get to the heart of issues that may arise. Coupled with your ability to lead develop and engage a team.
You will also have experience of:
+ Proficient in data visualization and statistical techniques using software like MS Power BI, Python, and SQL, as well as cloud environments such as Azure, AWS, or Google Cloud.
+ Ability to leverage analytical models to solve business problems, demonstrating successful implementation and tangible business value.
+ Advising senior executive leadership and simplify complex messages for broader business understanding.
+ Excellent written and verbal communication skills in both local language and English, with experience in cross-team coordination.
+ Skilled at conveying complex results to both technical and non-technical audiences, fostering successful analytic collaboration.
+ Experience of leading a team and working independently as a highly organized self-starter.
**What you need to know**
What can we offer in return? Great benefits you'd expect from a business the size of Nestlé - in the shape of a competitive salary and benefits package, bonus scheme, flexible working scheme, 25 days holiday plus statutory holidays plus flex leave, pension scheme and a real focus on personal development and growth.
The closing date for this role is 5th September 2025.
We will be interviewing candidates as they apply and we will occasionally close job advertisements early in the event we receive sufficient applicants, so please don't delay in submitting your application.
At Nestlé, our values are rooted in respect. When we embrace diversity and give everyone the chance to be the best they can be, we can think in new, creative ways that grow and enhance our business. People of all gender identities, ethnically diverse individuals, people with disabilities, and members of the LGBT+ community are strongly encouraged to apply. If there is anything we can do to accommodate you to participate fully in the application process, please let us know. We take pride in championing inclusion and diversity, our people make up a number of Colleague Networks who represent different experiences and communities who hold us accountable in creating a sense of belonging for all, and our values create the conditions for us to respect the unique contribution you bring. Find out more about our Colleague Networks here: Diversity, equity and inclusion | Nestlé (nestle.co.uk)
We are committed to equal opportunity for all and we may collect relevant data for monitoring purposes during our candidate registration process. Be yourself, everyone else is taken!
This advertiser has chosen not to accept applicants from your region.
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Data Analytics Manager

Madison Hive

Posted 1 day ago

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Job Description

Job Title: Data Analytics Manager

Location: London (3 Days in the office)

Job Type: Full Time


Company Overview

Operating quietly at the intersection of community and commerce, this UK-based real estate investment trust specialises in essential-led retail that remains relevant through changing market cycles. Focused on underappreciated assets in resilient locations, the company balances disciplined asset management with a deep understanding of local needs. It offers employees the chance to work behind the scenes on places that genuinely matter.


Role Summary

We’re looking for a proactive and technically capable Data & Reporting Analyst to join the Strategy & Investment team at a pivotal moment in the company’s data journey. This newly created role is part of a broader move to bring data capabilities in-house, reducing reliance on external consultancies and building a centralised, scalable reporting infrastructure. You’ll work across departments to design dashboards, integrate diverse data sources, and deliver insights that drive both day-to-day decisions and long-term strategic planning.


Key Responsibilities


Data & Reporting

  • Design, build, and maintain dashboards across capex, asset performance, credit risk, and strategic KPIs.
  • Standardise and manage data inputs from systems such as Yardi , OnePower , and other internal platforms into a central data lake .
  • Produce structured outputs and data matrices used for Board reports, investor updates, and ExCo presentations.


Collaboration & Integration

  • Work closely with the Finance , Asset Management , and Strategy teams to define and align reporting needs.
  • Collaborate with internal stakeholders to streamline data pipelines and eliminate information silos.
  • Partner with IT to ensure data solutions are secure, scalable, and future-ready.


Platform & Accessibility

  • Contribute to the design of an internal portal that brings together financial, operational, and site-specific data in one accessible location.
  • Make complex information intuitive and usable for both technical and non-technical audiences.


What You’ll Bring

  • 7-10 years’ experience in data analysis, business intelligence, or reporting.
  • Proficiency in Power BI, Tableau, SQL, or similar tools.
  • Familiarity with enterprise platforms such as Yardi is highly desirable.
  • Strong analytical mindset with the ability to turn raw data into meaningful insights.
  • A collaborative approach and confidence engaging with stakeholders across departments and seniority levels.
  • A mindset geared toward simplification, standardisation, and long-term scalability.
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Data Analytics Manager

London, London Madison Hive

Posted 1 day ago

Job Viewed

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Job Description

Job Title: Data Analytics Manager

Location: London (3 Days in the office)

Job Type: Full Time


Company Overview

Operating quietly at the intersection of community and commerce, this UK-based real estate investment trust specialises in essential-led retail that remains relevant through changing market cycles. Focused on underappreciated assets in resilient locations, the company balances disciplined asset management with a deep understanding of local needs. It offers employees the chance to work behind the scenes on places that genuinely matter.


Role Summary

We’re looking for a proactive and technically capable Data & Reporting Analyst to join the Strategy & Investment team at a pivotal moment in the company’s data journey. This newly created role is part of a broader move to bring data capabilities in-house, reducing reliance on external consultancies and building a centralised, scalable reporting infrastructure. You’ll work across departments to design dashboards, integrate diverse data sources, and deliver insights that drive both day-to-day decisions and long-term strategic planning.


Key Responsibilities


Data & Reporting

  • Design, build, and maintain dashboards across capex, asset performance, credit risk, and strategic KPIs.
  • Standardise and manage data inputs from systems such as Yardi , OnePower , and other internal platforms into a central data lake .
  • Produce structured outputs and data matrices used for Board reports, investor updates, and ExCo presentations.


Collaboration & Integration

  • Work closely with the Finance , Asset Management , and Strategy teams to define and align reporting needs.
  • Collaborate with internal stakeholders to streamline data pipelines and eliminate information silos.
  • Partner with IT to ensure data solutions are secure, scalable, and future-ready.


Platform & Accessibility

  • Contribute to the design of an internal portal that brings together financial, operational, and site-specific data in one accessible location.
  • Make complex information intuitive and usable for both technical and non-technical audiences.


What You’ll Bring

  • 7-10 years’ experience in data analysis, business intelligence, or reporting.
  • Proficiency in Power BI, Tableau, SQL, or similar tools.
  • Familiarity with enterprise platforms such as Yardi is highly desirable.
  • Strong analytical mindset with the ability to turn raw data into meaningful insights.
  • A collaborative approach and confidence engaging with stakeholders across departments and seniority levels.
  • A mindset geared toward simplification, standardisation, and long-term scalability.
This advertiser has chosen not to accept applicants from your region.

Data Analytics Manager

Leeds, Yorkshire and the Humber Impactive IT

Posted 1 day ago

Job Viewed

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Job Description

Role: Data Analytics Manager

Location: Leeds, Hybrid (2 days p/w in office)

Salary: £60,000-£70,000 + 10% Bonus


Impactive are thrilled to be partnering once again with a dynamic, fast-growing Leeds-based organisation, now on the hunt for a brilliant Data Analytics Manager to lead a talented team of 2-3 data practitioners , shape high-impact insights, and play a pivotal role during an exciting, and ambitious phase of growth.


The type of person:

We’re looking for a hands-on manager who combines technical expertise with the ability to lead, develop, and inspire a team on a day-to-day basis. You’ll need to be confident managing both internal team members and external stakeholders - and just as comfortable rolling up your sleeves to get into the data yourself.


You will have:

  • 5+ years’ experience in data analytics with a proven track record of delivering impactful insights.
  • Proven line management experience (in any form) - managing, coaching, or developing a team of 2–3 people (minimum).
  • Experience leading and mentoring analysts, data scientists, or BI developers.
  • Strong technical skills in SQL and Python .
  • Demonstrated ability to turn complex datasets into actionable, strategic recommendations.
  • A track record of working in client-facing roles, ideally in a consultancy or project-based environment.
  • The ability to thrive in a fast-paced setting, managing multiple priorities at once.


The role:

As Data Analytics Manager , you’ll be both a leader and a doer :

  • Lead, manage, and develop a team of 2–3 data analysts, ensuring their growth, performance, and engagement.
  • Act as the primary point of contact for key client stakeholders, building strong, trusted relationships.
  • Partner with clients to understand their business challenges, objectives, and analytical requirements.
  • Get hands-on when needed - from deep data dives to code reviews.
  • Oversee the quality, timeliness, and impact of the team’s deliverables.
  • Translate insights into actionable strategies that drive business performance.
  • Champion knowledge-sharing, best practices, and continuous learning within your team.
  • Collaborate closely with other teams to deliver end-to-end solutions.


Desired skills & experience:

  • Strong coding skills in Python and SQL , with solid MS Excel capabilities.
  • Excellent stakeholder management skills - able to adapt communication for technical and non-technical audiences.
  • Meticulous attention to detail, with a proactive approach to validating work and setting high standards.
  • Ability to break down complex client needs into clear, actionable recommendations.
  • Prior experience of working with customer data


*THIS ROLE DOES NOT OFFER SPONSORSHIP & PLEASE ONLY APPLY IF YOU ARE HAPPY COMMUTING TO LEEDS*


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

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