366 Data Analytics Consultant jobs in the United Kingdom

Our client is a leading advisory firm. They are looking to hire for their industry leading compensation and reward practice. You will support clients with executing their compensation strategy using their compensation data to empower their clients to attract and retain top talent in a competitive market.

This role offers a unique opportunity to immerse yourself with one of several dynamic industries including professional services, retail, manufacturing, tech or pharma/life sciences. You will work will directly influence compensation strategies that align with the fast-paced, innovative culture of the sector.

What the role involves:

• Data Analysis & Insights – Utilise data analytics to build market compensation trends within each sector. Translate large datasets into actionable insights and providing clients with a clear understanding of their market positioning.
• Benchmarking & Market Research – Conduct comprehensive benchmarking studies on the qualitative mechanics of compensation plans and broader HR topics across EMEA. Provide insights and recommendations on salary structures, bonuses and equity that align with the latest trends and best practices in across the sectors.
• Client Engagement – Build and maintain strong relationships with EMEA clients, understanding their unique challenges and tailoring compensation solutions to meet their specific needs. Deliver presentations and reports to client groups that effectively communicate key findings and recommendations to the tech & general industry community.
• Market Intelligence – Stay informed about the latest developments in each sector. Including emerging roles, skills in demand and shifting compensation trends. Share insights with clients to help them stay ahead in attracting and retaining talent.

How this opportunity is different

This role offers a rewarding opportunity to be at the forefront of supporting some of the most exciting companies and industries. You will work alongside some of the most inquisitive minds in the industries, helping them solve complex compensation challenges. If you are a data-driven professional with a passion for any one of the industries mentioned (professional services, retail, manufacturing, tech, pharma/life sciences), this is a chance to make a significant impact and contribute to the success of an impressive client portfolio.

Skills and experience that will lead to success

• Proven experience in compensation consulting with a focus on data advisory and benchmarking for the professional services, retail, manufacturing, tech, pharma/life sciences industries
• Strong analytical skills with proficiency in data modelling, statistical analysis and Excel.
• In-depth knowledge of compensation practices.
• Excellent communication and presentation skills, with the ability to translate data insights into actionable recommendations.
• Experience could be from a large compensation firm eg WTW, or a "big 4" Deloitte, EY, KPMG, PwC or a specialise compensation and reward boutique or gained at blue-chips in industry

Description

Do you enjoy supporting and guiding customers and team members to build data analytics solutions? At AWS, weu2019re hiring Data Analytics Consultants to collaborate with our customers and partners on key customer engagements. You will apply your technical expertise to solve complex customer challenges and develop cloud-based solutions at scale. You will guide customers through transforming their business with the combination of cultural philosophies, practices, and tools that deliver end-to-end applications and infrastructure solutions.



You will join as part of the AWS Professional Services (ProServe) Associate to Consultant (A2C) practice, which focuses on the accelerated career development of university graduates and early career professionals.



Our team members work with enterprise customers locally, regionally, domestically, and internationally. As such, this role has up to 100% travel associated. This role will be expected to work from customer sites throughout the UK.



AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. Youu2019ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.



Key job responsibilities

The Data Analytics Consultant is an emerging leader with previous Data Analytics experience. The ideal candidate will have experience of design, development and operations using services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon SageMaker, Amazon EMR. The Data Analytics Consultant is comfortable rolling up their sleeves to design and code modules for infrastructure, application, and processes.



About the team

Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasnu2019t followed a traditional path, or includes alternative experiences, donu2019t let it stop you from applying.



Why AWS? Amazon Web Services (AWS) is the worldu2019s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating u2014 thatu2019s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.



Inclusive Team Culture - Here at AWS, itu2019s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.



Mentorship & Career Growth - Weu2019re continuously raising our performance bar as we strive to become Earthu2019s Best Employer. Thatu2019s why youu2019ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.



Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, thereu2019s nothing we canu2019t achieve in the cloud.

Basic Qualifications

- Bachelor's degree in Computer Science, or related field (or equivalent experience)

- Experience in data platform implementation and software development using languages like Java, JavaScript, or Python.

- Hands-on experience building data or machine learning pipelines, and familiarity with machine learning concepts.

- Strong technical communication skills, both written and verbal, with the ability to clearly convey complex technical information to diverse audiences.

Preferred Qualifications

- Advanced degree (Masters or PhD) in Computer Science, Physics, Engineering, or Mathematics.

- Experience with cloud technologies, particularly AWS services like Kinesis, and big data tools such as - Experience developing scalable, high-performance cloud software services.

- AWS Certification(s), such as Solutions Architect Associate and/or Data Analytics Specialty.



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

Description

Do you enjoy supporting and guiding customers and team members to build data analytics solutions? At AWS, weu2019re hiring Data Analytics Consultants to collaborate with our customers and partners on key customer engagements. You will apply your technical expertise to solve complex customer challenges and develop cloud-based solutions at scale. You will guide customers through transforming their business with the combination of cultural philosophies, practices, and tools that deliver end-to-end applications and infrastructure solutions.



You will join as part of the AWS Professional Services (ProServe) Associate to Consultant (A2C) practice, which focuses on the accelerated career development of university graduates and early career professionals.



Our team members work with enterprise customers locally, regionally, domestically, and internationally. As such, this role has up to 100% travel associated. This role will be expected to work from customer sites throughout the UK.



AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. Youu2019ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.



Key job responsibilities

The Data Analytics Consultant is an emerging leader with previous Data Analytics experience. The ideal candidate will have experience of design, development and operations using services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon SageMaker, Amazon EMR. The Data Analytics Consultant is comfortable rolling up their sleeves to design and code modules for infrastructure, application, and processes.



About the team

Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasnu2019t followed a traditional path, or includes alternative experiences, donu2019t let it stop you from applying.



Why AWS? Amazon Web Services (AWS) is the worldu2019s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating u2014 thatu2019s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.



Inclusive Team Culture - Here at AWS, itu2019s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.



Mentorship & Career Growth - Weu2019re continuously raising our performance bar as we strive to become Earthu2019s Best Employer. Thatu2019s why youu2019ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.



Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, thereu2019s nothing we canu2019t achieve in the cloud.

Basic Qualifications

- Bachelor's degree in Computer Science, or related field (or equivalent experience)

- Experience in data platform implementation and software development using languages like Java, JavaScript, or Python.

- Hands-on experience building data or machine learning pipelines, and familiarity with machine learning concepts.

- Strong technical communication skills, both written and verbal, with the ability to clearly convey complex technical information to diverse audiences.

Preferred Qualifications

- Advanced degree (Masters or PhD) in Computer Science, Physics, Engineering, or Mathematics.

- Experience with cloud technologies, particularly AWS services like Kinesis, and big data tools such as - Experience developing scalable, high-performance cloud software services.

- AWS Certification(s), such as Solutions Architect Associate and/or Data Analytics Specialty.



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

 
The Role: Data Analytics Consultant
Location: Bristol
Hybrid Working : Yes

Life In the Experience Delivery team

In the Experience Delivery team we look after large scale end to end UX, Design and build projects. Our team is made up of creative technologists, UX Designers and Strategic UX leaders. We work with the wider Nomensa Studio team to provide leadership and guidance to large multidisciplinary teams as they take clients problems from research and problem framing through to cutting edge design and technology implementations. Both strategic and creative thinking are at the centre of everything we do whilst we also keep an eye on delivering quality for our clients.

The team is made up of a Head of Experience Delivery with a layer of Principal consultants leading and mentoring senior and junior team members. The team have regular practice groups and surgery sessions to collaborate and learn from one another as well as training and inspirational sessions covering disciplines across the range of UX, Design, SEO and Tech. SEO is at the heart of this process as we strive to deliver exceptional experiences that work for all users.

We're advertising two roles within this space, SEO Consultant and Data Analytics Consultant. However, this is a 'go to market' approach, we'll only be hiring one of the roles. If you're interested in both, don't worry about applying twice, you can select 'yes' consider me for both roles in the application form (which only takes a few minutes to complete ).

About Nomensa

Nomensa is a strategic experience design agency based in Bristol, London, and Amsterdam. Combining our experience in psychology, interaction design and technology, we create world class digital experiences.  

We work closely with our extensive range of clients across multiple and diverse sectors to design award winning inclusive digital experiences that help millions of people. From blue chips to start-ups, from Deliveroo to the NHS, whatever the sector, we deliver experience excellence.  

We are part of the Sideshow Group, a global community of digital and marketing agencies with an ambitious growth agenda. We get to collaborate, share knowledge and learn. This means potential for all sorts of future development opportunities and variety of work across the Group.   

We hybrid work so you get to come together in the office to collaborate and connect, as well as have some working from home time if that's your preference. We also have other patterns support work/life balance (for example, part-time contracts, nomad working, sabbaticals etc).   

Requirements

What you’ll be doing

• Implement and maintain advanced tracking setups using GA4 and GTM to collect, analyse, and interpret data.
• Develop custom reports and dashboards in DataStudio to visualise data trends and provide actionable insights.
• Conduct in-depth analysis using BigQuery to uncover patterns, trends, and opportunities for optimisation.
• Collaborate with cross-functional teams to define key metrics, KPIs, and data collection strategies aligned with business objectives.
• Troubleshoot tracking issues, recommend solutions, and ensure data accuracy and consistency.
• Gaining an understanding of what our clients need by means of requirements elicitation, analytics discoveries, reporting and assessments
• Training on the tools and techniques we us along with key User Experience concepts
• Keep up-to-date with trends and best practice in analytics and the wider digital landscape
  

What we’re looking for

We are looking for an Analytics Consultant adept at thriving within a consultancy driven environment, where effective communication forms the bedrock of successful client engagement.  

Enthusiasm for pioneering analytics methodologies, coupled with a understanding of technology's role in driving actionable insights. The Analytics Consultant is entrusted with not only steering the design and delivery of analytics solutions but also championing innovative approaches to data analysis that resonate with clients' strategic objectives and business goals. 

The successful candidate must of course come from an analytics background, demonstrating fluency in harnessing data insights to drive strategic decisions and deliver bespoke client solutions. They will be passionate about designing and delivering innovative solutions.  

Ability to articulate complex analytics findings in a comprehensible manner is key. The ideal candidate will place a premium on clear, succinct communication, fostering alignment between clients and internal stakeholders to confidently gather requirements.  

Someone who can build robust data pipelines and configure Google tools such as GTM, GA4, BigQuery and Data Studio. 

Working with us will also provide opportunity to actively engage in thought leadership initiatives and events, serving as a representative of both themselves and Nomensa. 

Benefits

Our benefits for UK employees include:  

• Time to recharge: 25 days holiday (rising to 30 with length of service), your birthday off, holiday exchange scheme (up to 5 days), Summer Fridays.  
• Health & Wellbeing: BUPA cashback scheme, BUPA medical insurance (with service), 24/7 Employee Assistance Programme cycle to work scheme, Mental Health 1st Aiders 
• Financial wellbeing: competitive salaries, company pension contribution, , life insurance, financial wellbeing service, employee discount scheme 
• Life beyond work: time off for charity work, involvement in our employee groups on ED&I, mental health, environment, and regular socials and fun events arranged by our Chief Happiness Officers! 
  

The Application Process:   

Applicants will be shortlisted and selected for a short call with our Talent Acquisition Specialist. You'll talk experience, ambitions and salary expectations. From there the interview process will consist of two stages.  

If you’re excited about working for us but don’t have all the relevant skills, we would still love to hear from you. You may have relevant experience or transferable skills. We are all the better because of the many diverse backgrounds our employees have so don't let not ticking every box hold you back, give it a go! 

Interview Adjustments  

We do everything possible to create the best experience for candidates. We appreciate interviews can be challenging, so, please let us know if any adjustments will make you more comfortable or confident. For example, provide extra time or flexibility on assessments, have a chaperone on the interview, supply questions up front, or anything else that might help your application.   

Our Talent Acquisition Specialist Corrie ( ) can help with any questions during the recruitment process.   

Nomensa is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. 

Are you eager to launch a career in the fast-paced world of data? Our client, a forward-thinking organisation based in Leicester, Leicestershire, UK , is offering a comprehensive Apprenticeship in Data Analysis & Business Intelligence. This is a fantastic opportunity for motivated individuals looking to gain hands-on experience and develop highly sought-after skills in data manipulation, visualization, and reporting. You will work alongside experienced data professionals, contributing to real-world projects and learning the intricacies of transforming raw data into actionable business insights. This fully remote apprenticeship provides the flexibility to learn and grow from the comfort of your home, supported by a dedicated mentor and structured training program.

Responsibilities:

• Assist in the collection, cleaning, and pre-processing of data from various sources.
• Support the development of reports, dashboards, and visualizations using tools like Power BI or Tableau.
• Perform basic data analysis to identify trends, patterns, and insights.
• Help in maintaining databases and ensuring data accuracy and integrity.
• Collaborate with team members on data-related projects.
• Learn and apply business intelligence methodologies and tools.
• Participate in training sessions and workshops to build technical and analytical skills.
• Document processes and findings related to data analysis projects.
• Provide support for ad-hoc data requests from different departments.

Qualifications:

• A keen interest in data, technology, and problem-solving.
• Good analytical and critical thinking skills.
• Basic proficiency in Microsoft Office Suite, particularly Excel.
• Strong communication and interpersonal skills.
• A proactive attitude and willingness to learn.
• Must be eligible to undertake an apprenticeship and meet residency requirements.
• Familiarity with programming languages like Python or SQL is a plus, but not essential.

This apprenticeship is ideal for individuals aged 16 and above, who are looking to gain formal qualifications while earning. The program includes comprehensive training, mentorship, and a clear path for career progression. Join our team remotely and start your journey towards becoming a skilled data professional in Leicester .

Our client is offering an exceptional Graduate Trainee opportunity in Data Analysis, based in our offices serving **Wolverhampton, West Midlands, UK**. This program is designed for ambitious and analytical graduates eager to launch their careers in a data-driven environment. You will be immersed in the world of data, learning to collect, clean, process, and analyze large datasets to extract meaningful insights. Under the guidance of experienced data scientists and analysts, you will contribute to critical business projects, developing reports, visualizations, and dashboards to communicate findings effectively. Key responsibilities include assisting with data quality checks, performing statistical analysis, contributing to the development of data models, and supporting the presentation of data-driven recommendations to stakeholders. The ideal candidate will possess a strong academic background in a quantitative field such as mathematics, statistics, computer science, economics, or a related discipline. A keen interest in data analysis, excellent problem-solving abilities, and proficiency in tools like Excel and SQL are essential. Familiarity with programming languages such as Python or R is a plus. You should be a quick learner, detail-oriented, and possess strong communication skills, both written and verbal. This internship provides invaluable hands-on experience and a clear pathway for career progression within a supportive and growing organization. You will gain exposure to various business functions and learn how data analytics drives strategic decision-making.

Our client is offering an exciting Graduate Trainee opportunity in Data Analysis. This fully remote internship provides a unique chance for recent graduates to launch their careers by gaining hands-on experience in a data-driven environment. You will work closely with experienced analysts, learning to collect, clean, interpret, and present data to support business decisions. Key responsibilities include: assisting in the collection and processing of data from various sources; performing data cleaning and validation to ensure accuracy and completeness; conducting basic statistical analysis and generating reports using tools like Excel, SQL, and Python/R; visualising data through charts and graphs to identify trends and patterns; supporting senior analysts in interpreting findings and preparing presentations; learning about data warehousing, database management, and data governance principles; contributing to projects that aim to improve data quality and accessibility; and participating in team meetings and training sessions to develop your analytical skills. The ideal candidate will have recently graduated with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. While no prior professional experience is required, a strong academic background in quantitative subjects is essential. Familiarity with data analysis concepts and tools, even from academic projects, is a plus. Excellent attention to detail, problem-solving skills, and a proactive attitude are crucial. Strong written and verbal communication skills are needed to convey data insights effectively in this remote setting. This program is designed to provide comprehensive training and mentorship, supporting career growth within the data analytics field, relevant to our client's operations in the Liverpool, Merseyside, UK area.

Our client is offering an exciting Graduate Trainee opportunity in Data Analysis, based remotely. This program is designed for ambitious individuals who have recently graduated and are keen to build a career in the data science field. As a Graduate Trainee, you will gain hands-on experience in collecting, cleaning, analyzing, and interpreting large datasets to identify trends and insights. You will work closely with experienced data analysts and scientists, contributing to real-world projects that drive business decisions. Responsibilities include developing data models, creating visualizations, and presenting findings to stakeholders. The ideal candidate will possess a strong analytical mindset, excellent problem-solving abilities, and a foundational understanding of statistical concepts. Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R) and familiarity with SQL are highly desirable. Experience with data visualization tools (e.g., Tableau, Power BI) would be a significant advantage. You should be eager to learn, adaptable, and capable of working effectively in a remote team environment. A Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline is required. This is a fantastic opportunity to kickstart your career in a rapidly growing industry.
Key Responsibilities:

• Assist in data collection, cleaning, and preprocessing.
• Perform data analysis to identify trends and patterns.
• Develop data visualizations and reports.
• Support senior analysts in deriving insights from data.
• Collaborate with team members on data-driven projects.
• Learn and apply new data analysis techniques and tools.

A forward-thinking technology company is offering an exciting Graduate Trainee position focused on Data Analysis, based in the Brighton, East Sussex, UK area, with a fully remote working arrangement. This internship provides a unique opportunity for recent graduates to gain hands-on experience in data analytics, machine learning, and business intelligence within a dynamic and supportive environment. The Graduate Trainee will work closely with senior data scientists and analysts to collect, clean, and analyze large datasets, identify trends, and develop insights to inform business decisions. Responsibilities include assisting in the development of data models, creating reports and dashboards using visualization tools, and contributing to the implementation of data-driven strategies. You will have the opportunity to learn and apply various analytical techniques and tools, such as SQL, Python, R, and Tableau. The ideal candidate will be a recent graduate with a degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline. Strong analytical and problem-solving skills are essential, along with a keen attention to detail. Familiarity with programming languages like Python or R is highly desirable. Excellent communication skills and the ability to work collaboratively in a remote team setting are crucial. Enthusiasm for data and a willingness to learn are key attributes we are looking for. This role is designed to provide a comprehensive learning experience and a potential pathway to a full-time career in data science. You will gain valuable practical experience and mentorship to build a strong foundation in the field. This is a fully remote role, allowing you to contribute effectively from your preferred location.