Senior Analytics Engineer, United Kingdom - Greater London - AutogenAI

    AutogenAI
    AutogenAI Greater London

    3 days ago

    Description

    Job Summary


    As Senior Analytics Engineer at AutogenAI, you will own analytics delivery across the business, ensuring data is trusted, used, and directly informs decision‑making. You'll work end‑to‑end across metrics, models, and dashboards, translating complex data into clear, decision‑ready insights for product, commercial, and leadership teams.

    Key Responsibilities

    • Design, build and maintain core analytics outputs, including Power BI dashboards, ad‑hoc analysis, and recurring reporting.
    • Define, document and own company and product KPIs, ensuring consistency, clarity and trust in how performance is measured.
    • Partner with Product to define data goals for initiatives, and validate that data captured supports meaningful analysis.
    • Build and oversee analytics models using dbt and Redshift, preferably following the Kimball approach.
    • Engage with senior leadership and stakeholders to answer business questions, present insights and recommend actions grounded in data.
    • Line‑manage a data engineer, review Python and SQL work, set standards for analytics engineering, and establish sustainable team processes.
    • Improve data literacy across the organisation and ensure insights are communicated clearly through well‑designed dashboards and narratives.

    What You'll Bring

    • Strong hands‑on analytics capability – from raw data through to dashboards and executive‑level insights.
    • Product‑mindful thinking – focus on metrics that reflect real user and business value.
    • Analytics engineering fluency – write and review SQL, dbt and Python; understand data pipelines.
    • Clear communication and judgment – challenge assumptions, explain trade‑offs and make data understandable to non‑technical stakeholders.
    • Operational data leadership – balance delivery across stakeholders, manage people or lead a small team.

    Requirements

    • Several years in analytics, data analytics or analytics engineering roles, including hands‑on delivery and stakeholder‑facing work.
    • Experience in SaaS or product‑led technology environments.
    • Advanced SQL and dbt.
    • Data modelling (preferably familiar with Kimball).
    • Redshift or similar cloud data warehouse.
    • Power BI dashboard design and modelling.
    • Python for analytics and code review.
    • AWS familiarity (Glue, ECS, Docker, Lambda).
    • Alerting & monitoring.
    • Degree in a quantitative, technical, or related discipline, or equivalent practical experience.
    • Experience defining tracking schemas, product KPIs, and analytics frameworks with Product and Engineering.
    • Experience translating business questions into clear metrics, analysis, and insights.

    Compensation and Benefits

    • Competitive salary: £85,000 – £95,000 depending on experience.
    • Stock options.
    • Pension scheme.
    • Unlimited vacation.
    • Remote working arrangements.
    • Bupa medical and dental cover.
    • Life insurance.
    • Paid parental leave: 16 weeks for birth, 4 weeks for partner's birth.
    • Laptop choice (Mac or Windows), regular company events and professional development opportunities.

    Values in Action

    • Customers, always – we walk in their shoes, speak their language, and build for their delight.
    • Make it happen – move fast, take ownership, no red tape.
    • Learn and invent – stay curious, adapt, grow.
    • Act like owners – titles don't solve problems, people do.
    • Turn it up to 11 – no "good enough", continuously push boundaries.
    • Lead with respect – listen first, speak honestly, value every perspective.
    • Build trust through transparency – open communication, feedback, no silos.

    Equal Employment Opportunity Statement


    AutogenAI is an equal‑opportunity employer dedicated to fostering a diverse and inclusive workplace. We do not discriminate on the basis of race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by federal, state, or local laws. We encourage applications from individuals of all backgrounds, including those with disabilities and veterans. Our hiring decisions are based on qualifications, merit and business needs. If you require reasonable accommodations during the application or interview process, please let us know, and we will gladly assist you.


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