Senior Data Analyst
New
During these periods, you can work remotely anywhere in the UK and from certain locations abroad.Full-TimeSenior
Salary50,000 - 70,000 GBP per year
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Job Details
- Required Skills
- PythonSQLGoogle AnalyticsData engineering
Requirements
- Proven experience working within consumer-facing product teams, and a good understanding of the differing analytical approaches we may use at each stage of the consumer’s lifecycle.
- Experience overseeing experimentation programmes and practices that inform product or business decisions.
- A good understanding of methods for statistical inference (e.g. Bayesian, Frequentist) and familiarity with predictive analytics techniques is highly beneficial.
- Working knowledge of common analytics tools used for tracking and analysing user behaviour, such as Google Analytics or similar platforms.
- The ability to articulate complex analytical solutions to stakeholders and influence them
- Experience in planning and delivering analytical projects in a cross-functional environment.
- Demonstrable experience in mentoring and leading other analysts towards collective goals.
- Proficiency in SQL and Python, coupled with knowledge of ETL processes and foundational data engineering principles.
Responsibilities
- Establishing metrics for your product area using appropriate frameworks.
- Leading the design of data products and collaborating with engineers on their implementation
- Lead the definition and continuous improvement of tracking to ensure reliable measurement of user behaviour and product performance
- Own experimentation programme outputs and partner with Design and User Research during early‑stage ideation.
- Work closely and seamlessly with senior stakeholders across the business, challenging and influencing decisions through data-informed recommendations, particularly when evaluating product changes and identifying new opportunities for improvement.
- As a leader in your team, be accountable for its success, champion the use of analytics and support other Data Analysts
- Plan and prioritise the analytical components of projects and ensure clear communication with Analytics leadership and adjacent teams
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