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Join a cutting-edge health tech team as a Data/Product Analyst and propel our mission with data-driven decision making
Overview
Salary No salary declared 😔
Location London, England, United Kingdom,
Nomad Friendly? In-person- London United Kingdom
Expires Expires at anytime
Our innovative health technology company is at the forefront of improving user experiences through data analytics. We are passionate about activating user engagement and driving the success of our products with actionable insights. As a member of our Health stream, you will collaborate with a diverse team committed to making a significant impact on how people interact with our content and services.
- Organization summary - Collaborate with a passionate team in a dynamic health tech company, leveraging data to enhance product development and user experience.
- Role Summary
- Investigate data to address strategic questions and enhance user activation.
- Identify key company goals that can be data-influenced, establish proxy metrics, and track them.
- Support hypothesis formulation and prioritization using data analytics.
- Design and conduct A/B testing to ensure data validity for decision making.
- Identify proxy metrics for quicker experimental evaluations.
- Monitor ongoing experiments and key performance metrics.
- Analyze user behavior within experiments to uncover distinct segments.
- Assess experiment outcomes for overarching product metric impact.
- Formulate clear recommendations based on thorough experiment analysis.
- Role Requirements
- Minimum 5 years of experience as a Data/Product Analyst.
- Proficient in A/B testing and statistical analysis.
- Advanced skills in SQL.
- Proficiency in data visualization tools such as Python, Looker, or Tableau.
- Experience in a subscription business model is a plus.
- Python/R proficiency for data analysis is advantageous.
You will work as part of the Health stream in close collaboration with product managers, analysts, UX researchers, and designers.
What you'll be doing
You'll be responsible for:
- Explore data to answer high-level questions (e.g. “How to activate more users in content consumption?”)
- Support the team in understanding which high-level goals of the company can be influenced, determine proxy metrics and monitor them
- Help the team to formulate and prioritize hypotheses with data - determine segment sizes, possible uplifts, success metrics, and take into account patterns in user behaviour
- Design experiments correctly to be sure that valid decisions can be made based on the data from these experiments.
- Look for proxy metrics that will allow you to evaluate the effect and finish experiments faster.
- Monitor the state of experiments, and trace main metrics.
- Proactively explore user behaviour in experiments, and detect segments that behave differently.
- Evaluate the results of the experiment in terms of global impact on the metrics of the entire product.
- Provide clear recommendations based on the results of the analysis of experiments
Your Experience
Must have:
- At least 5+ years of work experience as a Data / Product Analyst
- Experience with A/B testing, knowledge of statistics for A/B testing
- Advanced SQL
- Experience in data visualization in Python / Looker / Tableau or similar
Nice to have:
- Experience in subscription business
- Python / R for data analysis
Ranges may vary depending on your skills, competencies and experience.
