<p><p><b>Requirements :</b><br/><br/></p><p>- Bachelor's degree in Engineering.<br/><br/></p><p>- 2-4 years of data analytics experience, preferably in consumer tech.
Cohort analysis experience is a plus.<br/><br/></p><p>- Strong proficiency in SQL with hands-on experience in Snowflake (Postgres experience is also valuable).<br/><br/></p><p>- Proficiency in Python for data wrangling, analysis, and visualisation (Pandas, NumPy, Matplotlib/Seaborn).<br/><br/></p><p>- Familiarity with automation or text analysis is a plus.<br/><br/></p><p>- Strong Excel/Google Sheets skills for quick ad-hoc analysis.<br/><br/></p><p>- Experience with BI/visualisation tools (e.
g., QuickSight, Data Studio, Tableau, Looker, or similar).<br/><br/></p><p>- Familiarity with A/B testing frameworks and core statistical concepts.<br/><br/></p><p>- Strong analytical thinking, problem-solving skills, and attention to detail.<br/><br/></p><p>- Excellent communication skills to translate technical findings into clear, actionable insights for non-technical stakeholders.</p><p><br/></p><p><b>Roles & Responsibilities :</b></p><p><b><br/></b></p><p>- Lead the charge in KPI reporting and unravel the mysteries behind key business drivers.</p><p><br/></p><p>- Delve deep into the data universe to quantify the impact of various factors on our KPIs.</p><p><br/></p><p>- Transform raw data into actionable insights that drive strategic decision-making.</p><p><br/></p><p>- Define and communicate key metrics and trends to keep the team on track.</p><p><br/></p><p>- Master the art of data extraction, cleansing, and normalization to ensure accuracy in our analyses.</p><br/></p> (ref:hirist.tech)