44,184 Data Related Projects jobs in the United Kingdom

DataAnalyticsEngineer

• Permanent
• Basingstoke(Hybrid-x2PW)
• Upto70,000+ExcellentPackage

Overview

We'relookingforaskilledDataAnalyticsEngineer tohelpdrivetheevolutionofourclientsdataplatform.ThisroleisidealforsomeonewhothrivesonbuildingscalabledatasolutionsandisconfidentworkingwithmoderntoolssuchasAzureDatabricks ,ApacheKafka ,andSpark .Inthisrole,you'llplayakeypartindesigning,delivering,andoptimisingdatapipelinesandarchitectures.Yourfocuswillbeonenablingrobustdataingestionandtransformationtosupportbothoperationalandanalyticalusecases.Ifyou'repassionateaboutdataengineeringandwanttomakeameaningfulimpactinacollaborative,fast-pacedenvironment,wewanttohearfromyou!

RoleandResponsibilities

• DesigningandbuildingscalabledatapipelinesusingApacheSpark inAzureDatabricks
• Developingreal-timeandbatchdataingestionworkflows,ideallyusingApacheKafka
• Collaboratingwithdatascientists,analysts,andbusinessstakeholderstobuildhigh-qualitydataproducts
• Supportingthedeploymentandproductionisationofmachinelearningpipelines
• ContributingtotheongoingdevelopmentofaLakehouse architecture
• WorkinginanAgile/DevOps environmenttocontinuouslyimproveplatformperformanceandreliability

EssentialSkillsandExperience
We'reseekingcandidateswhobringstrongtechnicalskillsandahands-onapproachtomoderndataengineering.Youshouldhave:

• ProvenexperiencewithAzureDatabricks andApacheSpark
• WorkingknowledgeofApacheKafka andreal-timedatastreaming
• StrongproficiencyinSQL andPython
• FamiliaritywithAzureDataServices andCI/CDpipelinesinaDevOpsenvironment
• Solidunderstandingofdatamodellingtechniques(e.g.,StarSchema)
• Excellentproblem-solvingskillsandahighattentiontodetail

Desirable:

• AzureDataEngineercertification
• Experienceworkingwithunstructureddatasources(e.g.voice)
• ExposuretoPowerBIfordownstreamreporting(desirable,butsecondarytoplatformengineeringskills)
• Previousexperienceinregulatedindustries

Edgewell is not just a company, but a vibrant global community of **6,800 visionaries, doers, and makers** . Our family of over **25 personal care brands** serves people in more than **50 countries** . We are dedicated to infusing joyfulness into every aspect of our work. Our pledge goes beyond our products, with our fundamental value of **People First** guiding us to foster a diverse, inclusive, and respectful environment where every team member can flourish and celebrate our shared achievements.
**Data & Analytics Manager - Europe**
Central London, UK
Hybrid Working
Attractive salary & benefits
**Let's Talk About You**
You're ambitious, but you want a career with purpose-we love that. You're up for a challenge and ready to write the next chapter of your career story with a great group of encouraging colleagues. You want to make your mark and let your personality shine. Well, if you're interested in our Data & Analytics Manager role, this might be your next step! We are looking for an experienced professional to join Edgewell Personal Care - a global consumer goods business with a portfolio of over 25 brands (Wilkinson Sword, Schick, Hawaiian Tropic, Carefree, Bulldog Skincare for Men, Jack Black and recently acquired Cremo Grooming. just to name a few!).
**Now, Let's Get Down to Business**
Edgewell Europe is seeking a Data & Analytics Manager to support its strategic growth by delivering advanced analytical solutions that drive commercial success. Reporting to the Head of Data & Analytics, this role will empower key stakeholders with actionable insights, enhance decision-making through robust models, and foster a data-driven culture across European operations.
If there's one thing, you'll get here at Edgewell, it's a collaborative group full of likeable, diverse and nurturing colleagues. They're an inspiring bunch.
Here's a sample of what you'll get up to:
+ Develop and refine analytical tools and models to extract actionable insights from complex data, driving informed decision and change.
+ Empower the European commercial community by creating self-service solutions that facilitate better and quicker decision-making.
+ Lead the creation of performance metrics that offer deep insights into business performance and support course correction.
+ Influence key leaders to embed data-driven decision-making into the organisational culture.
+ Oversee enhancements, optimising performance and investments in promo, pricing, terms, product mix, NPD, media, and digital.
+ Advocate for efficient work processes and simplification to maximise productivity and data utilisation.
+ Collaborate with the global BI-IT team to enhance and scale the architecture as part of the European D&A strategy.
+ Drive initiatives to improve data literacy across the European commercial business.
+ Ensure high adoption of created tools by offering customised in-house demos and training sessions.
**Are You Ready to Show Us What You've Got?**
The ideal candidate will bring strong expertise in tools like Power BI, SQL, and Power Platform, along with a solid understanding of FMCG commercial processes and data science methods. Experience across European markets and fluency in English are essential, with additional languages considered a plus. We're looking for someone with experience ideally gained within an FMCG or Personal Care business.
While your experience is of course important, we're all about making useful things joyful, so we love when our prospective candidates are passionate about this too.
Here's what we are looking for:
+ Proven experience in Data & Analytics, ideally within Consumer Goods or Retail.
+ Demonstrated agile and collaborative approach, with the ability to efficiently manage projects, implement change, and foster continuous learning.
+ Strong communicator with the ability to influence stakeholders effectively.
+ Solid grasp of commercial processes and financials (e.g. P&L) in FMCG environments.
+ Excellent analytical skills with a track record of turning insights into action.
+ Proficient in Power BI, SQL, Power Platform, Power Query, Power Pivot, DAX and no-code ETL tools.
+ Familiar with data lakes (e.g. Snowflake), and ERP systems (e.g. SAP).
+ Strong understanding of data science methods (e.g. regression, ML, AI) applied in FMCG.
+ Experienced with syndicated (e.g. Nielsen, Circana), panel (e.g. Homescan), EPOS, and e-commerce data (e.g. Flywheel).
+ Experience with TPM/TPO systems for trade and promotional management an advantage.
+ Commercially minded, innovative, and results driven.
+ Experience working across European markets is a plus.
+ Fluent in English; additional European languages are an advantage.
**Job Tools**
Power BI, SQL, Power Platform, Power Query, Power Pivot, DAX, Snowflake and no-code ETL tools
Microsoft Teams, Excel, PowerPoint, Word, Outlook and additional MS Software
**What we offer**
Competitive salary, Hybrid working possible (2 days per week in Central London office), employee assistance programme, life assurance, discounted Edgewell branded products, core working hours, 25 days annual leave, free beverage & snacks, sports & social club membership, casual smart dress code and a great team!
**Now Take the Next Step**
If you're looking forward to progressing your career with us, then we're looking forward to hearing from you. Please email an up-to-date CV in English along with your salary expectations. Alternatively, feel free to pass onto your teammates who may be interested. For information about this great company, visit is an equal opportunity employer. We do all we can to create a collaborative and diverse global team, where good ideas can thrive, and our colleagues can learn and lead. We prohibit discrimination based on age, color, disability, marital or parental status, national origin, race, religion, sex, sexual orientation, gender identity, veteran status or any legally protected status in accordance with applicable federal, state and local laws. We listen deeply and speak directly to create an environment that's open to difference. We aim to bring joy to not only the products we create and the people we serve, but our colleagues across the globe too.

Press Tab to Move to Skip to Content LinknSelect how often (in days) to receive an alert:nEdgewell is not just a company, but a vibrant global community of 6,800 visionaries, doers, and makers . Our family of over 25 personal care brands

serves people in more than 50 countries . We are dedicated to infusing joyfulness into every aspect of our work. Our pledge goes beyond our products, with our fundamental value of People First guiding us to foster a diverse, inclusive, and respectful environment where every team member can flourish and celebrate our shared achievements.nData & Analytics Manager – EuropenCentral London, UKnHybrid WorkingnAttractive salary & benefitsnLet's Talk About YounYou’re ambitious, but you want a career with purpose—we love that. You’re up for a challenge and ready to write the next chapter of your career story with a great group of encouraging colleagues. You want to make your mark and let your personality shine. Well, if you’re interested in our Data & Analytics Manager role, this might be your next step! We are looking for an experienced professional to join Edgewell Personal Care – a global consumer goods business with a portfolio of over 25 brands (Wilkinson Sword, Schick, Hawaiian Tropic, Carefree, Bulldog Skincare for Men, Jack Black and recently acquired Cremo Grooming… just to name a few!).nNow, Let’s Get Down to BusinessnEdgewell Europe is seeking a Data & Analytics Manager to support its strategic growth by delivering advanced analytical solutions that drive commercial success. Reporting to the Head of Data & Analytics, this role will empower key stakeholders with actionable insights, enhance decision-making through robust models, and foster a data-driven culture across European operations.nIf there’s one thing, you’ll get here at Edgewell, it’s a collaborative group full of likeable, diverse and nurturing colleagues. They’re an inspiring bunch.nHere’s a sample of what you’ll get up to:nDevelop and refine analytical tools and models to extract actionable insights from complex data, driving informed decision and change.nEmpower the European commercial community by creating self-service solutions that facilitate better and quicker decision-making.nLead the creation of performance metrics that offer deep insights into business performance and support course correction.nInfluence key leaders to embed data-driven decision-making into the organisational culture.nOversee enhancements, optimising performance and investments in promo, pricing, terms, product mix, NPD, media, and digital.nAdvocate for efficient work processes and simplification to maximise productivity and data utilisation.nCollaborate with the global BI-IT team to enhance and scale the architecture as part of the European D&A strategy.nDrive initiatives to improve data literacy across the European commercial business.nEnsure high adoption of created tools by offering customised in-house demos and training sessions.nAre You Ready to Show Us What You’ve Got?nThe ideal candidate will bring strong expertise in tools like Power BI, SQL, and Power Platform, along with a solid understanding of FMCG commercial processes and data science methods. Experience across European markets and fluency in English are essential, with additional languages considered a plus. We’re looking for someone with experience ideally gained within an FMCG or Personal Care business.nWhile your experience is of course important, we’re all about making useful things joyful, so we love when our prospective candidates are passionate about this too.nHere’s what we are looking for:nProven experience in Data & Analytics, ideally within Consumer Goods or Retail.nDemonstrated agile and collaborative approach, with the ability to efficiently manage projects, implement change, and foster continuous learning.nStrong communicator with the ability to influence stakeholders effectively.nSolid grasp of commercial processes and financials (e.g. P&L) in FMCG environments.nExcellent analytical skills with a track record of turning insights into action.nProficient in Power BI, SQL, Power Platform, Power Query, Power Pivot, DAX and no-code ETL tools.nFamiliar with data lakes (e.g. Snowflake), and ERP systems (e.g. SAP).nStrong understanding of data science methods (e.g. regression, ML, AI) applied in FMCG.nExperienced with syndicated (e.g. Nielsen, Circana), panel (e.g. Homescan), EPOS, and e-commerce data (e.g. Flywheel).nExperience with TPM/TPO systems for trade and promotional management an advantage.nCommercially minded, innovative, and results driven.nExperience working across European markets is a plus.nFluent in English; additional European languages are an advantage.nJob ToolsnPower BI, SQL, Power Platform, Power Query, Power Pivot, DAX, Snowflake and no-code ETL toolsnMicrosoft Teams, Excel, PowerPoint, Word, Outlook and additional MS SoftwarenWhat we offernCompetitive salary, Hybrid working possible (2 days per week in Central London office), employee assistance programme, life assurance, discounted Edgewell branded products, core working hours, 25 days annual leave, free beverage & snacks, sports & social club membership, casual smart dress code and a great team!nNow Take the Next StepnIf you’re looking forward to progressing your career with us, then we’re looking forward to hearing from you. Please email an up-to-date CV in English along with your salary expectations. Alternatively, feel free to pass onto your teammates who may be interested. For information about this great company, visit is an equal opportunity employer. We do all we can to create a collaborative and diverse global team, where good ideas can thrive, and our colleagues can learn and lead. We prohibit discrimination based on age, color, disability, marital or parental status, national origin, race, religion, sex, sexual orientation, gender identity, veteran status or any legally protected status in accordance with applicable federal, state and local laws. We listen deeply and speak directly to create an environment that’s open to difference. We aim to bring joy to not only the products we create and the people we serve, but our colleagues across the globe too.

#J-18808-Ljbffrn

OverviewnA forward-thinking, employee-owned business based in London is entering a significant growth phase supported by external capital investment. We’re seeking a strategic and hands-on

Data and Analytics Manager

to lead the company’s data journey from the ground up.

This is a pivotal role to design and implement the data strategy, business intelligence initiatives, and data governance frameworks, fostering a culture of data-driven decision-making across the organization.

Key Responsibilities

Build and lead a new data & analytics team.

Develop and execute a company-wide data and analytics strategy aligned to business objectives.

Own reporting and business intelligence, focusing on Power BI and SQL.

Implement and oversee data governance, ensuring compliance with GDPR, ISO27001, FCA, MAS, and other relevant regulations.

Serve as the primary liaison between business units and technology teams on data initiatives.

Engage senior stakeholders, including C-suite, to champion data adoption and maximize business value.

Maintain a hands-on approach in reporting, dashboards, and data visualization development.

Create a scalable roadmap for data capabilities, identifying opportunities for innovation and growth.

What We’re Looking For

Strong Power BI and SQL skills with hands-on experience in BI/reporting.

Proven track record in shaping and delivering data strategy and governance, ideally within the insurance sector (Lloyd’s or company market experience preferred).

Experience building or leading data teams.

Excellent stakeholder management and communication skills, comfortable presenting at senior leadership level.

Solid knowledge of regulatory data compliance.

Ability to translate complex business challenges into actionable insights.

Candidates on a 3-month notice period will be considered.

Why Join?

Join an employee-owned business entering a transformative growth phase.

Lead and shape the company’s data culture with strong executive backing.

Competitive salary plus discretionary bonus.

Generous holiday allowance (25 days rising to 30 with service) and flexible working options.

Pension: 5% employee / 10% employer contributions.

Hybrid work model with flexibility for remote working.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Analyst, Management, and Information Technology

Industries

Insurance

#J-18808-Ljbffrn

This range is provided by Madison Hive. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay rangenDirect message the job poster from Madison Hive

OverviewnOperating 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 SummarynWe’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 ResponsibilitiesnData & 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.

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.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Administrative, Analyst, and Strategy/Planning

Industries

Real Estate, Real Estate and Equipment Rental Services, and Investment Management

Referrals increase your chances of interviewing at Madison Hive by 2x

London, England, United Kingdom

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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Our client, a forward-thinking organisation at the forefront of data-driven innovation, is looking for bright and ambitious Graduate Trainees to join their esteemed Data Science & Analytics program in Bradford, West Yorkshire, UK . This is an exceptional opportunity for recent graduates to launch their careers in a dynamic and challenging field, gaining invaluable hands-on experience. You will work alongside seasoned data scientists and analysts, contributing to impactful projects that leverage data to drive business insights and strategic decisions. The program is designed to provide comprehensive training in statistical analysis, machine learning, data visualization, and programming languages such as Python and R.
Responsibilities:

• Assist senior data scientists and analysts in data collection, cleaning, and pre-processing.
• Support the development and implementation of machine learning models and statistical analyses.
• Contribute to the creation of insightful data visualizations and dashboards to communicate findings.
• Participate in data mining activities to identify trends, patterns, and actionable insights.
• Collaborate with cross-functional teams to understand data needs and deliver analytical solutions.
• Learn and apply various data analysis techniques and tools.
• Assist in the documentation of data processes, methodologies, and findings.
• Engage in training sessions and professional development activities to enhance technical skills.
• Contribute to the continuous improvement of data infrastructure and analytical processes.
• Present findings and insights to team members and stakeholders in a clear and concise manner.

Qualifications:

• Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong foundational knowledge of statistical concepts and data analysis techniques.
• Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong attention to detail and commitment to data accuracy.
• Good communication and interpersonal skills, with the ability to work effectively in a team.
• Eagerness to learn and adapt to new technologies and methodologies.
• Proactive attitude and a strong desire to contribute to impactful projects.

This graduate trainee position offers a structured learning path, mentorship from industry experts, and a clear progression route within a company that values innovation and talent. Join us and embark on an exciting journey in the world of data.

Our client, a leading financial services firm, is excited to launch its prestigious Graduate Scheme in Data Science & Analytics, based in Edinburgh, Scotland, UK . This is a 12-month intensive program designed for high-calibre graduates seeking to kickstart their careers in a dynamic and data-driven environment. The scheme operates on a hybrid model, offering a blend of in-office learning and collaboration with remote working flexibility. Participants will gain invaluable hands-on experience, working on real-world projects, developing critical analytical skills, and contributing to key business decisions through the power of data.

Program Highlights:

• Comprehensive Training: Immerse yourself in cutting-edge data science methodologies, machine learning techniques, statistical modelling, data visualization, and programming languages (Python, R, SQL).
• Real-World Projects: Apply your learning directly to challenging business problems across various departments, contributing to impactful projects that drive innovation and efficiency.
• Mentorship & Guidance: Receive dedicated support from experienced data scientists and industry leaders who will guide your development and career progression.
• Cross-functional Exposure: Gain a holistic understanding of the financial services industry by working alongside diverse teams and learning about different business functions.
• Professional Development: Participate in workshops focused on soft skills, presentation techniques, and project management to enhance your overall professional toolkit.
• Networking Opportunities: Build a strong professional network through interactions with senior management, industry experts, and fellow graduates.
• Potential for Permanent Employment: Successful completion of the graduate scheme may lead to an offer of permanent employment within the company's Data Science & Analytics team.

Ideal Candidate Profile:

• Recent graduate with a Bachelor's or Master's degree (achieved or predicted) in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Physics, Economics, or a related discipline.
• Strong analytical and problem-solving skills with a keen eye for detail.
• Proficiency in at least one programming language commonly used in data science (e.g., Python, R) is essential.
• Familiarity with SQL and database concepts.
• A genuine passion for data, analytics, and uncovering insights.
• Excellent communication and interpersonal skills, with the ability to articulate complex ideas clearly.
• Proactive, curious, and eager to learn and contribute.
• Ability to work effectively both independently and as part of a team in a hybrid work environment.
• Eligibility to work in the UK.

This is an exceptional opportunity to gain a competitive edge in the field of data science and launch a successful career within a leading financial institution. Join us and help shape the future of finance through data.