{"id":2130555,"url":"https://alion.io/job/ii-data-analyst","title":"Data Analyst","company":{"id":1785838,"name":"ii","domain":"ii.co.uk","url":"https://alion.io/company/ii-co-uk","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Manchester, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":47000,"max_usd":94000,"period":"year","method":"role_country_seniority_unknown","sample_n":174},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Looker","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"A/B Testing","optional":true},{"name":"Confluence","optional":true},{"name":"Jira","optional":true}],"status":"live","first_seen_at":"2026-10-08T00:00:00Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-11T03:13:50Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Title: Data Analyst\nLocation: Hybrid - Manchester or Leeds, 3 days on site per week, 2 days remote.\nSalary: From £32,000\nWho we are:\ninteractive investor is an award-winning investment platform that puts its customers in control of their financial future.\nWe’ve been helping investors for nearly 30 years. We’ve seen market highs and lows and been resilient throughout. We’re now the UK’s number one flat-fee investment platform, with assets under administration approaching £75 billion and over 450,000 customers.\nFor a simple, flat monthly fee we provide a secure home for your pensions, ISAs and investments. We offer a wide choice of over 20,000 UK and international investment options, including shares, funds, trusts and ETFs.\nWe also bring impartial, expert content from our award-winning financial journalists, highly engaged community of investors, and daily newsletters and insights.\nPurpose of the role:\nAs a Data Analyst in the Data and Innovation team at interactive investor, you will be a key driver of the organisation's data-centric culture, harnessing data to inform strategic business decisions. Your role is to synthesise complex data sets into clear, actionable insights that shape product optimisation, customer engagement, and operational efficiency.\nReporting to the Data Analytics and Insights Manager, you will take a lead in data storytelling, influencing the direction of products and services by understanding customer behaviours and market trends.\nYou will foster a collaborative environment where knowledge sharing and continuous improvement are paramount. Your expertise will contribute to the development of a centralised data analytics framework, bridging the gap between technical data analysis and strategic business initiatives.\nYou will be responsible for maintaining and advancing our data reporting systems, ensuring they provide a robust foundation for data-driven decision-making across the company. At times you may need to make predictive models to be able to understand the potential impact that changes may have against our business.\nIn this role, you will be expected to stay abreast of the latest tools and techniques in data analytics, bringing innovative solutions to the table and maintaining the team's competitive edge - for example in tools like: SQL, Snowflake, Python, Google Analytics/other web analytics, Power BI.\nYour contributions will directly impact interactive investor's ability to deliver enhanced customer experiences, optimise products and services, and drive business growth.\nThrough your work, you will help establish a legacy of data excellence within the organisation, positioning interactive investor at the forefront of investment platforms that leverage data for success.\nRequirements\nAnalyse 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\nReporting 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\nReporting Automation: Work to automate reporting capability through effective use of SQL, Python, Power BI, and other tools to streamline the data analysis process\nCollaborative 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\nKPI 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.\nAnalytics 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\nData 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\nAI/ML Power User: Leverage existing AI and machine learning platforms as a power user to enhance analytical capabilities and productivity\nCross-Channel Analysis: Conduct comprehensive data analysis across all channels and systems, collaborating with subject matter experts\nMentorship and Team Support: Mentor and support team members in best practices and analytical techniques\nData Governance and Compliance: Ensure adherence to data protection laws and company policies, maintaining privacy and security standards across all data handling activities\nCross-functional Collaboration: Actively engage with various departments to integrate data-driven insights into business processes, enhancing decision-making and strategic initiatives\nContinuous Learning: Commit to ongoing professional development in data analytics, staying current with industry trends, tools, and best practices\nPerformance 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\nInnovation and Continuous Improvement: Proactively seek and implement innovative solutions to enhance analytics capabilities and drive continuous improvement in processes and outcomes\nTeam Collaboration and Problem-Solving: Participate in team problem-solving sessions, share knowledge, and collaborate on projects to achieve common goals and resolve issues efficiently\nSKILLS & EXPERIENCE REQUIRED\nEssential\nStrong background in analytics, ideally within a commercial or digital product/service context\nProficiency in SQL, data visualisation tools (e.g., Streamlit/Python, Power BI, Data Studio/Looker, GA4 Reports), and dashboard/report creation\nExperience with Google Marketing Cloud, inc. Google Tag Manager, Google Analytics, Google Search Console, etc\nKnowledge of statistical concepts, techniques, and methodologies, and experience with data modelling and architecture\nExperience of data science techniques and methodologies, for example statistical modeling, segmentation analysis, time series analysis, predictive modeling approaches, or other data modelling\nAI/ML platform proficiency: Experience using AI and machine learning platforms and tools as a power user to enhance analytical capabilities\nEffective communication and presentation skills, able to transform complex data into clear insights\nStrong stakeholder management skills\nProactive, personable, and able to build relationships across teams\nExcellent problem-solving, critical thinking, and attention to detail\nAbility to manage multiple priorities and deliver results within deadlines\nUnderstanding of KPIs and success measures\nExperience in data projects\nDesirable\nExperience in the investment industry or a strong interest in financial markets\nInterest in investing, with knowledge of investment products and market trends\nProficiency in Python, or other languages, for data analysis\nExperience with A/B testing, funnel optimisation, and conversion rate optimisation techniques\nFamiliarity with machine learning techniques and their application in predictive modelling\nFamiliarity with Jira/Confluence or similar project management tools\nBenefits\nGroup Personal Pension Plan - 8% employer contribution and 4% employee contribution\nLife Assurance and Group Income Protection\nPrivate Medical Insurance - Provided by Bupa\n25 Days Annual Leave, plus bank holidays\nStaff Discounts on our investment products\nPersonal & Well-being Fund - Supporting your physical and mental wellness\nRetail Discounts - Savings at a wide range of high street and online retailers\nVoluntary Flexible Benefits - Tailor your benefits to suit your lifestyle\nPlease Note: We will do our utmost efforts to respond to all applicants. However, due to the high volume of applications we're currently receiving, if you haven't been contacted within 30 days of application, please consider unsuccessful.\ninteractive investor operates in accordance with the UK Equality Act 2010. We welcome applications from individuals of all ages, disabilities, gender identities, marital status, pregnancy/maternity, race, religion or belief, sex, and sexual orientation. We are committed to treating all applicants fairly and making reasonable adjustments where needed to support disabled applicants. 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