Data Analyst

• Join a small Business Intelligence team working within Operational Support
• Interrogate data in Google Big Query and develop data pipelines for analysis and reporting
• Build a portfolio of reports and dashboards using Looker Studio
• Ensure business alignment, active adoption and trust in numbers
• Curate trusted data models to enable self service analytics
• Manage the access and distribution of reports
• Adopt best practice data management techniques
• Be accountable for servicing information to our operations managers and team leaders

Data Analyst – Customer Operations

• Build and deliver reward analytics dashboards and modelling tools
• Provide insights to support pay cycles, budgeting, and strategic decisions
• Translate complex data into clear narratives for senior stakeholders
• Ensure data quality, governance, and reporting integrity
• Enhance Dayforce reporting and drive analytics maturity
• Partner with HR, Reward, Finance, and leadership teams

HR Data Analytics Manager

• Leverage the BMLL product suite to drive marketing initiatives and perform in-depth analysis
• Work closely with clients to gather feedback and help them apply our solutions to solve their unique challenges
• Collaborate with clients and key stakeholders to understand their business needs and translate them into actionable, data-driven solutions
• Maintain clear, comprehensive documentation for your code and methodologies
• Communicate your findings effectively to both technical and non-technical audiences
• Manage complex projects and thrive under tight deadlines

Senior Quantitative Analyst

• Create innovative, thought provoking, and highly leveraged “must-have insights” content
• Develop new insights and ideas through thought leadership
• Conduct in-depth analysis to identify root causes of client barriers
• Demonstrate thought leadership in establishing Insights positions across a team of analysts
• Research, analyze and predict market trends
• Provide clients with actionable advice via virtual or face-to-face interactions
• Create and deliver high value presentation materials
• Provide sales support serving as voice of the market
• Build credibility as an industry expert
• Actively participate in innovation discussions
• Identify research process improvements

Audit Technology and Data Analytics Expert, Director

• Lead and develop a team of three analysts dedicated to our core product for all sales-driven business.
• Collaborate closely with the SVP of Product to leverage data to drive strategic decision-making and optimize product performance.
• Ensure data-driven decisions guide our product strategy and innovation efforts.
• Work within the Product Insights department to combine quantitative and qualitative insights to inform the product roadmap.
• Reporting to the Senior Director of Product Insights, ensure team alignment with broader company goals and operational velocity.

Senior Manager, Product Data Analyst

• Relay’s Last Mile network runs on couriers - tens of thousands of them, doing real work in the physical world every day.
• Whether each parcel gets delivered successfully depends on the decisions and behaviours of the courier on route.
• We're hiring for a Senior Data Analyst to own how Relay measures and improves courier excellence: how we shape what happens on the doorstep, and how we manage performance before and after that interaction.
• This role works with the whole of the Last Mile team and partners closely with data scientists, engineers and operators across the squad.
• There's a v1 of performance management already running; you'll own its evolution into something materially better.
• Your job is to make those trade-offs visible, model them, and find the levers that move the network in the right direction. You'll run the experiments, design the measurement, and quantify what actually works.
• The job now is to ensure it drives fleet quality - defining the right behaviours to measure, evaluating the interventions designed to help couriers shift those behaviours, and closing the loop so the framework continuously improves. You'll partner with product, ops and engineering across this work, with the analytics owned by you.
• Couriers are the end users of much of this work. You'll think about how performance and rewards are made transparent to them, and you'll run experiments to evaluate whether interventions are actually working for couriers and for Relay.

Senior Data Analyst – Last Mile

• Track forecast accuracy across all Network models: demand forecasts, shift planning forecasts, dimensions model, BPP inclusion models
• Surface model drift and performance issues before they impact operations - you're the early warning system
• Diagnose forecast errors by client, geography, day of week, and horizon, and quantify the CPP impact
• Build dashboards that make model performance transparent to the squad and stakeholders
• Set analytical direction for the Network squad: define what metrics matter, where to invest analytical effort
• Work with Data Scientists to build the business case for model improvements, whether that's new input signals, data quality fixes, or client-specific treatment
• Monitor how capacity matches demand across Sortation, Middle Mile, Last Mile, and track shift release effectiveness
• Translate model performance into business impact that stakeholders can act on

Lead Data Analyst – Network

• Frame ambiguous business problems into structured analytical questions and define the right approach.
• Lead the design and delivery of high impact analyses, ensuring outputs are statistically sound and decision‑ready.
• Build scalable, reusable analytical datasets and dashboards that support cross team decision‑making.
• Improve analytical modelling practices, ensuring consistency, clarity, and alignment with business logic.
• Provide constructive feedback and coaching to analysts to raise team capability.
• Partner with stakeholders to align analytical work with strategic goals and influence data‑led decision making.
• Identify and resolve complex data discrepancies, ensuring metric definitions remain consistent and trusted.
• Communicate uncertainty, limitations, and trade-offs clearly to senior stakeholders.
• Lead improvements to analytical processes, documentation, and validation practices.
• Ensure compliance with data governance, security, and responsible use standards across analytical work.

Data Analyst III

• Translate business questions into clear analytical problems with defined scope and expected outcomes.
• Independently query data using SQL and analytical tools to produce clean, reliable datasets for analysis.
• Build and maintain dashboards and reports that support decision making across teams.
• Validate outputs through checks, comparisons, and clear documentation to ensure accuracy and trust.
• Communicate insights in practical, accessible terms to both technical and nontechnical audiences.
• Work closely with stakeholders to understand their objectives and ensure analyses meet their needs.
• Apply appropriate statistical techniques for common analytical problems and explain uncertainty clearly.
• Ensure dashboards and reports remain up to date, accurate, and aligned with current metric definitions.
• Follow data governance, security, and compliance standards when handling sensitive information.
• Contribute to improving analytical processes, documentation, and team knowledge sharing.

• Collect, clean, and analyse data from various sources.
• Develop and maintain dashboards and reports to communicate findings.
• Collaborate with cross-functional teams to understand data needs and provide analytical support.
• Identify trends and patterns in complex datasets to inform strategic decisions.
• Present findings to stakeholders in a clear and compelling manner.

• Manage the delivery of LCCC’s analytical workstreams, including scheme forecasts, deep-dives, and external facing dashboards
• Translate complex analytical findings into accessible insights that inform senior stakeholders
• Provide day-to-day leadership to a team of analysts, setting clear expectations and supporting individual development through coaching and feedback
• Champion a collaborative and inquisitive team culture, encouraging innovation, constructive challenge, and professional growth
• Support the development, maintenance and improvement of forecasting and analytical models, ensuring they are fit-for-purpose, transparent and well-documented
• Stay current on analytical tools, modelling techniques, and energy policy developments to inform and improve delivery
• Support the implementation of technical standards and processes that promote quality, consistency, and reproducibility
• Contribute to the development of metrics and performance indicators that track analytical effectiveness
• Work collaboratively with colleagues across policy, legal, operations and technology to ensure analysis is integrated and impactful
• Foster relationships with external stakeholders, including energy suppliers, regulators, and industry associations to gather insights and information beneficial to forecasting

Energy Analytics Manager

• Uncover business and product opportunities through robust analytics in a highly complex domain, translating technical insights with clarity for any audience.
• Shape data-driven decision-making across your squad and the wider operation; develop actionable performance metrics that move the needle.
• Size and measure the impact of ongoing initiatives and innovations.
• Build powerful data models and products that deliver actionable insights to your teammates.
• Line-manage 1-2 Analytics (Engineering) professionals: empower them through clear feedback, meaningful coaching, and leading by example.
• Raise the bar: role-model analytical rigour and smart pragmatism to shape analytics excellence across the company.

Staff Data Analyst – Driver Squad

• Standard Reporting & Dashboards – Builds and maintains accurate, timely dashboards and reports that enable daily decision‑making.
• Data Preparation & Structure – Assists with data extraction, cleaning and basic modelling to ensure reliable inputs for analysis and visuals.
• Ad‑hoc Analysis – Delivers clear, concise analysis to answer defined business questions within agreed timelines.
• Quality & Documentation – Applies checks, validates numbers against sources and maintains definitions so outputs are trusted and repeatable.
• Stakeholder Support – Gathers requirements, communicates status and ensures outputs are understandable and actionable.
• Continuous Improvement – Suggests small process/automation enhancements that reduce manual effort and improve consistency.

• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with management to prioritize business and information needs
• Locate, define, and go live with new process improvement opportunities
• Provide visibility into vendor performance beyond individual assets - analyzing trends across asset classes, sites, and regions, including response times and resolution rates
• Support identification of appropriate vendors when assets are not on contract, enabling comparisons based on capability, speed of response, and repeat visit rates
• Own the contract data model linking assets, contracts, entitlements, and work orders; identify and take accountability for data quality
• Maintain system linkage between contract records and operational performance data, ensuring integrity across connected platforms

Procurement & Purchasing Data Analyst

• Creating and maintaining regular and ad hoc reporting for the People Teams, alongside designing, building, and maintaining interactive dashboards in conjunction with strategic priorities.
• Supporting the continued development, optimisation, and strategic rollout of the Oracle Fusion AI Data Platform (FAIDP)-powered People Dashboard to encourage wider adoption.
• Leveraging FAIDP capabilities to transition traditional reporting toward proactive, AI-driven insights and enabling line managers to self-serve on the data required in their roles.
• Maintaining strict data governance, quality metrics, and standards for People data and reporting, ensuring consistent use and measurement of key KPIs.
• Collaborating with end users to identify downstream data needs (e.g., rostering, benefits, and survey systems) and opportunities for improved data management.
• Proposing system improvements to maintain absolute data integrity while presenting complex data trends and analysis in a clear, business-understandable format.
• Recognising and escalating potential risks or data issues in a timely manner to support broader programmes and activities.
• Delivering technical training and guidance to colleagues on system and reporting-related queries to support long-term self-service models.

Reporting, Data Analyst

• Deliver high-quality digital analytics and insight across Standard Life’s customer journeys
• Take ownership of regular Google Analytics reporting, ensuring stakeholders have clear, accurate, and actionable performance insights
• Monitor digital journeys to identify trends, issues, and opportunities to drive continuous improvement
• Design and develop dashboards and visualisations that bring data to life
• Support ad hoc analysis to answer business questions and inform decision-making
• Translate reporting requirements into meaningful metrics and ensure data integrity across all outputs

MI Data Analyst

• Play a critical role in strengthening analytical capability across a fast-paced, portfolio-based business
• Help teams across Product, Editorial, Commercial, Marketing, Finance and Technology understand data and unlock insights
• Drive measurable commercial outcomes through high-quality analysis
• Shape how success is measured and ensure data translates into clear insights supporting revenue growth
• Influence senior stakeholders and provide analytical oversight in a collaborative environment
• Champion best practices and improve analytical methodologies across teams

Principal Data Analyst

• Enabling data‑based decision makers in the business.
• Analysing data and reporting operational support.
• Answering and triaging tickets as they come in.
• Performing Root Cause Analysis across multiple platforms, data sources, and reports.
• Working in Agile methodology with the broader D&A team.
• Holding regular training and learning sessions with the business to enable Self‑Serve Analytics.
• Educating and inspiring the business in the art of the possible with BI, reporting, and dashboards.

Junior Data Analyst

• Own Finance’s data & analytics capability — enabling true self-serve insight across the function
• Extract, transform and model financial data using SQL and Sigma, working directly from source systems
• Build high-impact dashboards and outputs that support fast, confident decision-making
• Turn data into insight — identifying trends, surfacing risks, and delivering clear commercial narrative
• Lead budgeting and forecasting support, including model ownership, actuals integration, and variance analysis
• Drive data quality, governance, and efficiency — partnering with Data teams and creating scalable, reusable solutions

Finance Data Analyst

• Analyse Data and Generate Insights: Extract and analyse data from our data lakes and relevant sources to provide actionable insights for business decisions and strategy formulation
• Reporting and Visualisation: Develop, maintain, and automate insightful BI and MI reports, ensuring data accuracy and relevance. Champion the automation of reporting capabilities to enhance efficiency
• Reporting Automation: Work to automate reporting capability through effective use of SQL, Python, Power BI, and other tools to streamline the data analysis process
• Collaborative Analysis: Develop strong partnerships with stakeholders from Product, Commercial, Technology, Customer Services, and Operations, etc., to understand requirements, to support their data needs and encourage the leveraging of data for product and service improvements, and create a data-led culture
• KPI and Data Insight Development: Lead or contribute to the development and tracking of KPIs and data insights across the company, ensuring a consistent set of measures is used for decision-making.
• Analytics Platforms: Utilise platforms such as SQL, Snowflake, Power BI, Usabilla, Google Analytics, Optimizely, ContentSquare, and Hotjar for in-depth analysis and to create insightful reports
• Data Science Techniques: Apply data science methodologies, for example, statistical modeling, segmentation analysis, time series analysis, and some predictive techniques to analyse customer behaviour patterns and assess business impacts, collaborating with Data and Innovation team members across different roles to deliver actionable insights
• AI/ML Power User: Leverage existing AI and machine learning platforms as a power user to enhance analytical capabilities and productivity
• Cross-Channel Analysis: Conduct comprehensive data analysis across all channels and systems, collaborating with subject matter experts
• Mentorship and Team Support: Mentor and support team members in best practices and analytical techniques
• Data Governance and Compliance: Ensure adherence to data protection laws and company policies, maintaining privacy and security standards across all data handling activities
• Cross-functional Collaboration: Actively engage with various departments to integrate data-driven insights into business processes, enhancing decision-making and strategic initiatives
• Continuous Learning: Commit to ongoing professional development in data analytics, staying current with industry trends, tools, and best practices
• Performance Monitoring & Reporting: Regularly track and report on key performance indicators relevant to each role's domain, contributing to the overall success metrics of the team
• Innovation and Continuous Improvement: Proactively seek and implement innovative solutions to enhance analytics capabilities and drive continuous improvement in processes and outcomes
• Team Collaboration and Problem-Solving: Participate in team problem-solving sessions, share knowledge, and collaborate on projects to achieve common goals and resolve issues efficiently

See all jobs on JobTailor

Data Analyst – Customer Operations

HR Data Analytics Manager

Senior Quantitative Analyst

Audit Technology and Data Analytics Expert, Director

Senior Manager, Product Data Analyst

Senior Data Analyst – Last Mile

Lead Data Analyst – Network

Data Analyst III

Data Analyst

Data Analyst

Energy Analytics Manager

Staff Data Analyst – Driver Squad

Data Analyst

Procurement & Purchasing Data Analyst

Reporting, Data Analyst

MI Data Analyst

Principal Data Analyst

Junior Data Analyst

Finance Data Analyst

Data Analyst