onsite
Senior Data Analyst - William Reed
Data Analyst
Senior Data Analyst responsible for turning consumer, market and behavioural data into actionable commercial intelligence, building advanced analytics, forecasting methods and predictive models for internal and client‑facing products.
About the role
Key Responsibilities
- Design and implement advanced analytical solutions, including predictive models and forecasting methodologies, to support commercial decision‑making.
- Transform large, complex datasets into clear, actionable insights using SQL, Python and data‑visualisation tools.
- Collaborate with insight teams, customer success managers and other stakeholders to define analytical requirements and deliver tailored intelligence products.
- Develop and maintain dashboards and reports (e.g., Tableau, Power BI) that communicate findings to both technical and non‑technical audiences.
- Continuously evaluate and improve data pipelines, ensuring data quality, reliability and scalability.
Requirements
- 5+ years of experience in data analysis or a related field, with a strong focus on statistical modeling and machine learning techniques.
- Proficiency in SQL and Python for data extraction, manipulation, and model development.
- Demonstrated ability to create compelling visualisations and dashboards that translate complex data into business‑ready insights.
- Experience building forecasting models and predictive analytics for commercial applications.
- Excellent communication and collaboration skills, with a track record of working cross‑functionally to deliver data‑driven solutions.
Skills
sqlpythonmachine learning