As a Junior Analyst, you'll measure, translate and prioritise data-driven insights to inform product and campaign decisions. You will build dashboards and experiment analyses, track model and feature performance, and partner with engineers and data scientists to turn analysis into measurable business impact.
Key Responsibilities
- Produce and maintain model performance tracking dashboards, experiment tracking, and feature-usage reports to surface actionable insights.
- Conduct A/B test analysis and uplift measurement to evaluate product and campaign changes.
- Translate data into clear recommendations and prioritised next steps for product, growth and strategy teams.
- Collaborate with engineering and data teams to operationalise metrics, ensure data quality and enable reproducible analyses.
- Support ad-hoc and recurring analyses to measure business impact and inform roadmap decisions.
- Document methods, assumptions and results; present findings to stakeholders in concise, non-technical terms.
Required Skills & Qualifications
- At least up to 1 year experience; or recent graduate in statistics, economics, data science, computer science, or related field.
- Strong foundation in SQL for data querying.
- Basic understanding of AI/ML concepts and model evaluation (exposure to predictive models or experimentation is a plus).
- Proficiency in data visualization (Tableau, Looker, Power BI, or similar) and ability to define clear KPIs.
- Strong analytical thinking, attention to detail and ability to communicate insights clearly.
- Comfortable working with cross-functional teams and learning fast in a product focused environment.
- Experience with Python/R for analysis, or familiarity with experiment platforms and feature-flagging systems will be a plus.
- Prior internship or project work involving A/B testing, analytics or dashboarding.
- Interest in marketing technology, personalization or campaign measurement.