{"id":2118942,"url":"https://alion.io/job/investengine-data-analyst","title":"Data Analyst","company":{"id":3707,"name":"Investengine","domain":"investengine.com","url":"https://alion.io/company/investengine","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":54000,"max_usd":113000,"period":"year","method":"role_country_seniority_unknown","sample_n":208},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"dbt","optional":false},{"name":"GDPR","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"SQL","optional":false},{"name":"Looker","optional":true},{"name":"Metabase","optional":true},{"name":"Prompt Engineering","optional":true}],"status":"live","first_seen_at":"2026-09-10T13:33:48Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-10-16T13:05:06Z","board_verified":true,"closed_at":null,"days_open":35,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":35},"description":"About InvestEngine\nInvestEngine is everything the modern investor should need. Unbeatable value, market-leading automation, and built for easy, long-term investing. We’ve built a strong foundation, have over £2 billion invested, award-winning service, and a passionate team, now we’re ready to scale.\nRole Overview\nAs an Analyst, you will play a key role within the Analytics team, initially focused on data governance and compliance - spanning topics such as Consumer Duty, CASS, KYC/AML and data protection - with the expectation of broadening into general analytics support across the business over time. You will work closely with stakeholders across Compliance, Risk, Operations, Product and Commercial to translate governance and regulatory requirements into clear, well-documented data controls, reports and dashboards - using a modern, automated tech stack.\nThis role is best suited to an analytically minded person with an engineering mindset: someone who instinctively looks to automate and simplify rather than accept a manual, spreadsheet-driven process, and who is confident proposing new ways of working, new team structures, or new technology when the current approach isn't fit for purpose. You should be comfortable with ambiguity in a growing analytics function, and want to work in a modern, automation- and AI-enabled way rather than through manual, ad hoc reporting.\nKey Responsibilities\nGovernance & Compliance\nSupport the design and rollout of a data governance framework: data ownership, definitions, lineage and retention policies.\n\nPartner with Compliance, Risk and Legal stakeholders to translate regulatory requirements (e.g. Consumer Duty, CASS, KYC/AML, GDPR) into concrete data controls, monitoring and reporting.\n\nMaintain and evolve the analytics glossary, data catalogue and semantic layer so compliance-related metrics are clearly defined, consistent and auditable.\n\nSupport internal and external audit requests with well-documented, reproducible analysis.\n\nModern Analytics & Automation\nBuild and maintain data transformations and models using SQL and dbt, following version-controlled, tested and documented practices.\n\nAutomate recurring reports, reconciliations and alerts to reduce manual effort and strengthen controls.\n\nUse AI-enabled tools (e.g. Claude, Copilot) responsibly to accelerate analysis, coding, QA and documentation, within agreed data-handling and compliance guardrails.\n\nContribute to modern software-engineering practices for analytics: version control (git), peer review of dbt models/queries, and lightweight CI/CD where relevant.\n\nWays of Working & Continuous Improvement\nDefault to automating and simplifying: question manual, spreadsheet-driven or one-off processes rather than just repeating them.\n\nPropose new tools, architectures, or ways of working where the current setup is holding the team back - this role is expected to shape the analytics function's approach, not just operate within it.\n\nBring an engineering-influenced approach to analytics work: reusable, testable, version-controlled, rather than one-off scripts or manual spreadsheets.\n\nReporting & Dashboards\nBuild and maintain dashboards and reports using modern BI tools.\n\nEnsure metrics are correctly defined, documented, and consistent with the data catalogue and semantic layer.\n\nAs the role broadens, support wider analytics team with ad hoc analysis outside governance and compliance.\n\nData Quality & Documentation\nWork with the Chief Data Officer to ensure data accuracy, reconciliation and quality.\n\nContribute to data documentation, definitions and the analytics glossary.\n\nRaise data quality issues and support root-cause analysis.\n\nStakeholder Collaboration\nWork closely with business and compliance stakeholders to understand requirements and analytical needs.\n\nClearly communicate insights and findings in a structured, accessible way.\n\nSupport decision-making by translating complex analysis and regulatory detail into clear narratives.\n\nRequirements & Skills\nExperience in a Data Analyst, Business Analyst, Compliance Analyst or similar role.\n\nStrong SQL skills; hands-on experience with dbt, or a strong aptitude and willingness to learn modern transformation tooling quickly.\n\nFamiliarity with data governance and one or more relevant regulatory/compliance topics (e.g. Consumer Duty, CASS, KYC/AML, GDPR, Market Abuse Regulation, data retention) is desirable.\n\nAn engineering mindset - a demonstrated habit of automating, simplifying, or redesigning a manual process rather than living with it, even where that means suggesting a new tool or way of working.\n\nExperience or strong interest in using AI tools to enhance analytical workflows - e.g. AI-assisted coding, prompt engineering, automation of repetitive tasks.\n\nComfortable with version control (git) and other modern, engineering-influenced ways of working.\n\nExperience with modern BI tools (e.g. Metabase, Lightdash, Omni, Looker).\n\nStrong analytical thinking and problem-solving ability.\n\nClear written and verbal communication skills, including with non-technical, compliance-focused stakeholders.\n\nConfidence to challenge the status quo and propose alternatives, backed by data and sound reasoning.\n\nExperience in fintech or financial services is desirable but not essential.\n\nWhat Success Looks Like\nA trusted, well-documented and automated data governance reporting suite covering the business's key data domains, including Consumer Duty, CASS and KYC/AML.\n\nThe use of a modern, automated reporting stack (SQL/dbt) to replace manual, ad hoc processes.\n\nAt least one meaningful new way of working, tool, or structural change proposed and adopted by the team.\n\nEffective, appropriate use of AI tools to speed up delivery without compromising data governance.\n\nStrong stakeholder relationships and increasing autonomy as the role broadens beyond governance and compliance.\n\nOur Hiring Process\nIntroductory call with our Talent team\n\nGamified cognitive assessment to understand how you think and problem-solve\n\nCompetency interview focused on your experience in operational risk and controls (may include a short task or case study)\n\nSenior leadership interview to explore alignment with our culture, values, and strategic direction","description_format":"text","description_chars":6240,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Investing Apps & Robo-Advisors"],"lifecycle":[{"event":"open","at":"2026-10-08T23:51:19Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Skilled Worker","cap_exempt":false,"checked_at":"2026-10-16T06:21:30+00:00","sources":["UK Home Office: register of licensed sponsors 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