Technical Support

About Apni Pathshala

Apni Pathshala is a high-growth technology and innovation company operating in Palghar, Vasai, Nala Sopara, Vasai-Virar, India. Dedicated to delivering impactful digital solutions, the organization values agile execution, rapid product iteration, and continuous learning. Interns collaborate directly with seasoned technical leaders, contributing to meaningful projects that make a tangible impact across customer touchpoints and scalable systems.

About the Role

We are seeking a proactive and driven Technical Support to join our Data Analyst team. This opportunity is structured as a Onsite position based out of Palghar, Vasai, Nala Sopara, Vasai-Virar. In this role, you will apply theoretical knowledge to production challenges, collaborate with cross-functional colleagues, and help build reliable, performant solutions.

The selected candidate will receive structured guidance, participate in active sprint milestones, and gain end-to-end exposure to modern development lifecycles, team standups, and codebase management.

Key Responsibilities

• Extract, transform, and clean raw datasets from multiple operational sources and relational databases.
• Build high-impact interactive dashboards, KPI reports, and visual presentations using PowerBI and Tableau.
• Write optimized, modular SQL queries to uncover growth bottlenecks, user retention patterns, and operational efficiency.
• Partner with product and business stakeholders to translate strategic questions into actionable data insights.
• Perform cohort analysis, funnel tracking, and statistical hypothesis testing on product metrics.
• Maintain automated data hygiene checks and alert triggers for core metric anomalies.

Requirements & Qualifications

• Proficiency in SQL (joins, aggregations, window functions) and relational database concepts.
• Working experience with Python data science libraries (Pandas, NumPy, Matplotlib/Seaborn).
• Strong grasp of dashboard creation in business intelligence tools like PowerBI, Tableau, or Metabase.
• Curious analytical mindset with attention to detail and ability to synthesize data into clear recommendations.
• Pursuing or completed a Degree in Analytics, Statistics, Computer Science, Engineering, or a related discipline.