Data Analyst - Python/SQL

Requirements :

- Bachelor's degree in Engineering.

- 2-4 years of data analytics experience, preferably in consumer tech. Cohort analysis experience is a plus.

- Strong proficiency in SQL with hands-on experience in Snowflake (Postgres experience is also valuable).

- Proficiency in Python for data wrangling, analysis, and visualisation (Pandas, NumPy, Matplotlib/Seaborn).

- Familiarity with automation or text analysis is a plus.

- Strong Excel/Google Sheets skills for quick ad-hoc analysis.

- Experience with BI/visualisation tools (e. g., QuickSight, Data Studio, Tableau, Looker, or similar).

- Familiarity with A/B testing frameworks and core statistical concepts.

- Strong analytical thinking, problem-solving skills, and attention to detail.

- Excellent communication skills to translate technical findings into clear, actionable insights for non-technical stakeholders.

Roles & Responsibilities :

- Lead the charge in KPI reporting and unravel the mysteries behind key business drivers.

- Delve deep into the data universe to quantify the impact of various factors on our KPIs.

- Transform raw data into actionable insights that drive strategic decision-making.

- Define and communicate key metrics and trends to keep the team on track.

- Master the art of data extraction, cleansing, and normalization to ensure accuracy in our analyses.