Data Analyst Jobs in Manchester

Data Analyst

From $45,000/yr

Title: Data Analyst Location: Manchester (Hybrid - 2 days per week in the office) Salary: £45,000 - £65,000 DOE Industry: Fintech The Opportunity I'm currently working with an innovative fintech business in Manchester that is looking to hire a Data Analyst to join its growing data and technology team. The organisation develops technology-led financial products and services, using data to improve customer experiences, optimise financial performance and support business growth. As the business continues to expand, it's investing in its data capabilities to make better use of the information it collects and strengthen its analytical capabilities across the organisation. This is a hands-on analytical opportunity where you'll work with large and varied datasets, develop reporting solutions and translate complex information into meaningful commercial insights. You'll play an important role in understanding customer behaviour, monitoring business performance and identifying opportunities to improve products, processes and overall business efficiency. You'll work closely with stakeholders across product, finance, operations, technology and senior leadership, helping turn data into actionable insights that influence business decisions. The role will also involve developing dashboards, improving reporting processes and ensuring key business metrics are accurate, accessible and understood. The ideal candidate will have strong SQL skills, experience with Power BI or Tableau and the ability to communicate analytical findings to both technical and non-technical audiences. Experience working within fintech, financial services, banking, payments or another technology-led environment would be particularly valuable. If you're a Data Analyst looking to work within a growing fintech business, gain exposure to financial and customer data and have a genuine influence on commercial and product decisions, this could be an excellent opportunity. Key Responsibilities * Analyse large datasets to identify trends, patterns, anomalies and opportunities for business improvement. * Write and optimise SQL queries to extract, manipulate and analyse data from multiple sources. * Develop and maintain dashboards and reporting solutions using Power BI, Tableau or similar visualisation tools. * Analyse customer behaviour, transaction activity and product performance to identify meaningful business insights. * Monitor key business metrics and KPIs, highlighting trends and areas requiring further investigation. * Work closely with stakeholders across product, finance, operations, technology and commercial teams. * Translate business requirements into analytical solutions and actionable recommendations. * Investigate data discrepancies and support improvements in data accuracy, consistency and quality. * Deliver regular and ad hoc reporting to support strategic planning and operational decision-making. * Automate manual reporting processes and identify opportunities to improve analytical efficiency. * Present findings and recommendations clearly to technical and non-technical stakeholders. * Support the development of a more data-driven culture across the organisation. Essential Skills and Experience * Proven experience working as a Data Analyst or in a similar analytical role. * Strong SQL skills, including extracting, joining, manipulating and analysing complex datasets. * Experience using Power BI, Tableau or another data visualisation tool. * Strong analytical and problem-solving skills, with the ability to interpret complex information. * Experience developing dashboards, reports and performance metrics. * Ability to translate business requirements into effective reporting and analytical solutions. * Experience working with large datasets from multiple sources. * Strong attention to detail and a commitment to data accuracy and quality. * Excellent communication skills and the ability to explain analytical findings to non-technical stakeholders. * A proactive approach to problem-solving, process improvement and identifying opportunities through data. Desirable Skills and Experience * Experience working within fintech, financial services, banking, insurance, payments or another technology-led financial business. * Experience analysing financial, transactional, customer, payment or product data. * Understanding of financial products, payment processes or digital banking services. * Python experience for data analysis, automation or statistical analysis. * Advanced Excel skills, including complex formulas, pivot tables and data manipulation. * Familiarity with cloud data platforms, data warehouses or modern analytics environments such as Snowflake, Databricks or Microsoft Fabric. * Experience working with customer segmentation, customer lifetime value, retention or behavioural analytics. * Understanding of data governance, data quality and information security. * Experience presenting insights and recommendations to senior stakeholders. * Exposure to product analytics tools or experimentation, including A/B testing. Package and Benefits * Salary of £45,000 - £65,000, depending on experience. * Hybrid working, with two days per week in the Manchester office. * Opportunity to join an innovative and growing fintech business. * Exposure to financial, transactional, customer and product datasets. * Opportunity to influence commercial decisions and product development through data-driven insights. * Collaboration with stakeholders across product, finance, technology and wider business functions. * Scope to develop your technical skills and progress your analytics career within a growing organisation. * A role offering genuine responsibility, ownership and the opportunity to make a measurable business impact.

Data Analyst

From $118,750/yr

Own the experimentation engine behind a $1Billion+ e-commerce brand's growth decisions. Total Annual Package: Up to USD $118,750 + comprehensive benefits (Base salary + monthly performance bonus of up to 25% of base) Location: Remote (Global) Growth path from here is: Senior Data Analyst → Analytics Engineer. Career progression that takes 4-5 years elsewhere can happen in 1-2 years here for high performers. We've been AI-first since December 2023: You'll use agentic AI workflows to accelerate analysis and refine your analytical output. You remain accountable for validating the findings and turning them into clear business recommendations. Role Overview: Puffy, a market-leading, nine-figure D2C brand and Top 5 US mattress brand with over $1Billion in sales, is hiring a Data Analyst to own its experimentation program, covering test design, statistical analysis, funnel diagnosis and data pipelines, reporting directly to the Analytics Manager. This role exists to turn raw customer and acquisition data into clear recommendations that Marketing, UX and Development can act on the same week. The Problems You'll Own: * Primary: Turn test results into growth decisions: Experiment results need to explain what worked, what did not and why across devices, traffic sources and customer-journey steps. The challenge is separating meaningful findings from noise and turning them into recommendations that Marketing, UX and Development can act on. * Secondary: Connect the evidence without slowing decisions: The acquisition-to-conversion picture spans Shopify, GA4, Google Ads, Meta and BigQuery. Independent analysis depends on connected source data and validated outputs rather than pre-built dashboards alone. The challenge is keeping that evidence usable and reliable as analytical output scales. The Career Accelerator: This is not a role where you manage dashboards and pass the analysis to someone else. * The scope is scarce : You'll work across test design, statistical analysis, funnel diagnosis and your own data pipelines, with direct access to the Analytics Manager. You pull the data yourself and remain accountable for the quality of your recommendations. * Your first 12 months: Analyze A/B tests end to end, explaining what worked, what did not and why. Prioritize hypotheses by impact and define test briefs, success criteria and sample sizes upfront. Turn findings into site changes, campaign adjustments and creative decisions with Marketing, UX and Development. Map journeys across devices and traffic sources to identify friction and conversion leaks. Connect Google Ads and Meta data to the acquisition-to-conversion funnel. Use SQL and Python against raw event data to investigate performance by segment, device, source and journey step. Build and maintain pipelines across Shopify, GA4, Google Ads and BigQuery without waiting on another team for your data. Direct and validate agentic AI workflows to scale your analytical output. Contribute early and deliver recommendations the business can act on the same week. Shape how experimentation informs growth decisions at Puffy. What Is In It For You: This isn't just another data analysis role. This is your chance to become a true industry architect. 1. Own the Experiment from Question to Recommendation: You design the test, pull the data and own the analytical recommendation. • You map customer journeys, investigate performance in SQL and Python, and connect Google Ads and Meta data to on-site behavior. You build and maintain your own pipelines across Shopify, GA4, Google Ads and BigQuery without waiting on another team for the data you need. • You design hypotheses, define success criteria and sample sizes, analyze A/B tests and translate findings into usable recommendations. You direct and validate agentic AI workflows, reporting directly to the Analytics Manager and collaborating with Marketing, UX and Development. 2. Join a High-Performance Organization and Partner with the 1%: * 🏆 Puffy: Top 5 Mattress Brand in US with Over $1Billion USD in Sales * 🌍 Great Place to Work Certified * 💡 Join an AI-first organization led by a Forbes Council Member CEO Gain firsthand exposure to strategic decisions and high-velocity execution that drives a global brand 3. Embrace Radical Flexibility Work from anywhere in the world with meaningful time zone overlap. Structure your environment around your best thinking, whether that's a home office, a co-working space, (OR) our Dubai headquarters (with full relocation, visa support, and 0% income tax if you choose). Your output is your credential, not your location. 4. Become the Person Who Knows Why Things Convert In most companies, analysts report numbers. Here, you're the person who tells the business what to change and why. When a test wins or loses, your analysis is the reason leadership moves. You'll build the instinct to separate signal from noise across segments, devices, and traffic sources — and the communication skills to make non-technical stakeholders act on what you find. Puffy has been AI-First since December 2023, so you'll build that judgment with an AI-native toolbox behind you rather than a reporting queue in front of you. What You'll Need: * 3+ years in data analysis, experimentation, or CRO within e-commerce, D2C, or any high-traffic transactional website (fintech, marketplaces, SaaS, banking). * Strong SQL - complex joins, window functions, CTEs across large datasets without relying on pre-built dashboards. * Working Python (or R) for data manipulation, statistical analysis, and automation. * Proven A/B testing experience - hypothesis design through statistical analysis to business recommendation; solid grasp of sample sizing, significance thresholds, and common pitfalls. * Hands-on GA4 experience - event-based tracking, custom explorations, and the ability to tie GA4 data to other sources. * Experience integrating ad platform data (Google Ads, Meta) with site analytics to see the full acquisition-to-conversion funnel. * Ability to independently connect to and pull from multiple data sources (APIs, warehouses, flat files) without engineering support. * Sharp analytical communication - complex findings distilled into concise recommendations for non-technical stakeholders. * Proactive and curious - you spot testing opportunities and chase root causes before anyone asks. * Must be willing to work extended hours and weekends as needed Good-to-Have: * Experience with BigQuery or AWS data warehousing, including scheduled queries and data modeling. * Familiarity with session replay and heatmap tools (FullStory, Hotjar) for qualitative behavioral analysis. * Background in Looker, Tableau, or similar dashboarding tools. Resources Provided: You’ll have access to our latest company-provided AI tools, including ChatGPT and Claude, multiple AI agents, bots, plugins, AI projects, and automations through platforms such as n8n. You’ll also receive the department tools, relevant data, assets and specialist support needed to deliver your work. We expect you to use these resources to automate routine work and deliver high-quality results quickly. The Puffy DNA: We're restless, perpetually hungry, and fast-paced, driven by an unwavering belief that we can outperform any competitor, regardless of their size. * Be the Owner: We don't hire employees; we welcome owners. You're accountable for results, not activity. * Execute with Urgency: We thrive in high-stakes environments by making thoughtful decisions quickly and acting decisively. * Demand Excellence: We solve the hard problems that others can't, pushing the boundaries of our craft. * Be AI-First: Daily multi-turn AI conversations challenge your assumptions. * Go All-In: When the mission demands it, we rally as one team to cross the finish line. ✨ Your Total Compensation \& Benefits: * 💰 Compensation: Total Annual Package: Up to USD $118,750 + comprehensive benefits (Base salary + monthly performance bonus of up to 25% of base) * Annual salary review every January * 🏥 Health \& Protection: Comprehensive medical, dental, and vision insurance (based on country of hire) * 🌴 Time Off: Generous Paid Time Off (PTO) + Public holidays 💼 Work Environment: * AI-First organization with access to AI-native tool stack * Remote First: Work from the comfort of your home office * Learning \& development opportunities * International team collaboration across 16+ nationalities. Your assumptions get challenged daily. 🏆 Rewards \& Recognition: * Eligibility for selection to the Leaders Club, an elite recognition program featuring premium wellness memberships, exclusive networking with senior leadership, and annual leadership retreats * Eligibility for nomination as 'We Are' Champion of the Month, monthly recognition with gift vouchers and company-wide celebration for exceptional contributions Ready to Shape Your Story? Click "Apply" and take the first step.

Senior Data Analyst 199695

From $50,000/yr

Senior Data Analyst Manchester (Hybrid) | £50,000 - £70,000 + Benefits If you're passionate about using data to shape digital products and improve customer experiences, this is an opportunity to make a genuine impact. You'll join a highly collaborative environment where analytics sits at the heart of product decision-making, working alongside product, engineering, and design teams to influence strategy and drive measurable outcomes. The Company They are a well-established digital business with a large-scale consumer platform used by millions of customers. Data plays a central role in how they develop products, enhance user experiences, and identify new opportunities for growth. Their culture is collaborative, evidence-led, and focused on continuous improvement. They invest heavily in analytics capabilities and provide an environment where data professionals can influence both product direction and commercial outcomes. The Role As a Senior Data Analyst, you will take a leading role within a product-focused analytics team, helping to shape the development and optimisation of customer-facing digital products. Responsibilities include: • Defining and maintaining key metrics and measurement frameworks for product performance • Designing and developing analytics solutions to support product decision-making • Driving tracking and measurement improvements to ensure accurate user behaviour analysis • Leading experimentation programmes and evaluating the impact of product changes through robust testing methodologies • Partnering closely with Product Managers, Engineers, Designers, and Researchers to support product development • Delivering actionable insights and recommendations to senior stakeholders across the business • Influencing strategic decisions through data-driven storytelling and analytical expertise • Mentoring analysts and championing best practice within the wider analytics community • Supporting the development of scalable analytics frameworks and governance standards • Planning and prioritising analytical work across multiple initiatives and stakeholders Your Skills \& Experience • Strong commercial experience working within consumer-facing digital product environments • Proven ability to use analytics to improve customer journeys, product performance, or user engagement • Experience leading or supporting experimentation programmes and A/B testing initiatives • Knowledge of statistical inference methodologies and experimental design principles • Advanced SQL skills and strong Python capability • Understanding of product analytics and digital tracking platforms such as Google Analytics or similar tools • Experience working within cross-functional product teams • Ability to communicate complex analytical concepts to both technical and non-technical stakeholders • Experience influencing decision-makers through evidence-based recommendations • Passion for mentoring colleagues and driving analytics best practice What They Offer • Ongoing learning, development, and career progression opportunities • Exposure to large-scale product analytics challenges and high-impact projects How to Apply If you're a Senior Data Analyst looking to influence product strategy, lead experimentation, and work with large-scale consumer data, apply today to learn more about this opportunity.

Data Analyst

Data Analyst Location: Manchester (2 days onsite, 3 days WFH) Contract Duration: 6 months Key Job Responsibilities and Duties: - Responsible for working autonomously on consuming data, preparing it for analytical use, translating business problems to data stories and leveraging input from business stakeholders to determine the right technical solutions to deliver customer value. - Responsible for being flexible in adopting existing internal and external Data Analytics approaches, proposing and spotting opportunities to apply new approaches and expanding their technical competencies and their peers’ when a more efficient way presents itself. - Responsible for collaborating with peers in related crafts (i.e.Data Engineering), anticipating data needs to ensure smooth progress of their individual projects. - Responsible for ensuring quality of their own work by validating it through peer review. - Responsible for independently identifying and managing stakeholders in operational, project-based, and managerial roles. Effectively communicates, addresses stakeholder needs, and conveys complex analysis results in a clear manner. Begins to guide junior colleagues in stakeholder engagement. - Responsible for acting as a force multiplier for junior peers in the team by actively helping them with their craft through means of coaching, mentoring and setting a good example. Must have: - Must be proficient in Python/Pyspark, Snowflake, SQL - Must have strong working knowledge in experimentation (A/B, randomisation), causal inference is nice to have - Must have strong working knowledge in data visualisation tools and best practices - Tableau, PBI or equivalents - Must have strong working knowledge in end to end data life cycle from data collection, cleansing, aggregation, validation and reporting. Previous experience in behavioural tracking is nice to have. - Must have strong critical thinking and communication skills. Experience in working with cross functional team (Product, Engineer, Testing, Design, Copy Writing) is nice to have Nice to have: - Previous exposure to latest AI development trends and tools (Claude, Cortex, Cursor, Windsurf etc.) - Previous exposure to ML model development and engineering

Data Analyst II

Overview Join our clients' Trips business (Rides: Taxis \& Rail) and help power the “Connected Trip” experience through high-impact analytics. In this role, you’ll own end-to-end analytics delivery—from shaping ambiguous business questions into clear data stories, to building reliable datasets, running experiments, and translating insights into decisions that improve traveller experiences (especially around airport pickups) and product performance. You’ll work closely with partners across Data, Product, and Engineering to deliver scalable reporting, visualisation, and measurement solutions that stand up to peer review and drive long-term value. Required Skills * Strong SQL skills and experience working with modern analytical data platforms (Snowflake) * Proficiency in Python, including PySpark for data preparation and analysis * Solid understanding of experimentation (A/B testing, randomisation) and how to measure product or business changes * Experience with data visualisation and dashboarding (Tableau, Power BI, or similar) * End-to-end analytics lifecycle experience: data collection, cleansing, aggregation, validation, and reporting * Clear communication and critical thinking skills; comfortable explaining complex analysis to non-technical stakeholders * Proven ability to work cross-functionally (e.g., Product, Engineering, Testing, Design, Content/Copy) Nice to Have Skills * Causal inference methods and practical application beyond standard A/B testing * Behavioural / event tracking experience (instrumentation, data quality monitoring, funnel analysis) * Exposure to modern AI/analytics tooling trends (e.g., Claude, Cursor, Cortex, Windsurf) and how they can improve analyst workflows * Familiarity with machine learning model development and/or analytics engineering practices Preferred Education and Experience * Experience delivering analytics solutions independently (from scoping through implementation), ideally in a product-led environment * Demonstrated stakeholder management skills and the ability to guide conversations toward measurable outcomes * Prior experience supporting or mentoring junior analysts is beneficial Other Requirements * Ability to work autonomously and validate work through peer review and collaboration * Comfortable operating in a fast-moving environment where priorities can evolve * Based in / able to work on-site in Manchester (on-site role) If you’re excited to turn complex data into clear, actionable insights that improve real customer journeys, apply now and let’s build the next generation of connected travel experiences together.