Data Scientist leveraging expertise in statistics, machine learning, and AI at Simplot. Contributing to diverse, challenging projects to create business value.
About the role
- Head of Data & Analytics at AutogenAI, leading analytics and data function with hands-on responsibilities. Drive insights for business decisions using advanced data-driven solutions.
Responsibilities
- Hands-On Analytics Delivery: Design, build, and maintain core analytics outputs, including Power BI dashboards, ad-hoc analysis, and recurring reporting used by product, commercial, and leadership teams.
- KPI & Metrics Ownership: Define, document, and own company and product KPIs, ensuring consistency, clarity, and trust in how performance is measured.
- Product Analytics & Tracking: Partner with Product to define data goals for initiatives, and validate that data captured supports meaningful analysis.
- Analytics Engineering & Data Modelling: Build and oversee analytics models using dbt and Redshift, preferably following Kimball approach, ensuring data is well-structured, performant, and fit for downstream analysis and BI.
- Stakeholder Engagement & Insight Translation: Work directly with senior leadership and shareholders to answer business questions, present insights, and recommend actions grounded in data.
- Team Leadership & Quality Control: Line-manage a data engineer, review Python and SQL work, set standards for analytics engineering, and establish sustainable team processes.
- Data Literacy & Visual Storytelling: Improve data literacy across the organisation and ensure insights are communicated clearly through well-designed dashboards and narratives.
Requirements
- Experience: Several years spent in analytics, data analytics, or analytics engineering roles, including hands-on delivery and stakeholder-facing work
- Industry Knowledge: Experience working in SaaS or product-led technology environments
- Technical Skills:
- • Advanced SQL and dbt
- • Data modelling (preferably familiar with Kimball approach)
- • Redshift or similar cloud data warehouses
- • Power BI dashboard design and modelling
- • Python for analytics and code review
- • AWS familiarity (Glue, ECS, Docker, Lambda)
- • Alerting & Monitoring
- Education: Degree in a quantitative, technical, or related discipline, or equivalent practical experience
Benefits
- Competitive Salary: £80,000 - £105,000, depending on specific experience and qualifications relevant to the role.
- Stock Options: Meaningful equity in the company.
- Retirement Plan: Pension scheme to help secure your future.
- Paid Time Off: Unlimited vacation (Yes, you read right!)
- Flexible Work Options: Remote working arrangements
- Private Healthcare: Bupa Medical and Dental cover
- Life Insurance: Peace of mind for you and your family
- Paid parental leave: 16 weeks if you’ve just given birth, 4 weeks if your partner has just given birth (after one year of year of service)
- Additional Perks: Your choice of laptop (Mac or Windows), regular company events to connect with teammates, and opportunities for continued professional development.
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