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Senior Data Analyst

Company:
StockGro
Location:
Bengaluru, Karnataka, India
Posted:
May 09, 2024
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Description:

Company Vision

StockGro is a mobile-first cross-platform (Android & iOS, Mobile + Web App) Fintech product that’s empowering 25 million+ users to master the art of trading and investment in a risk-free and gamified manner. At StockGro - India’s First and Largest Social Investment Platform, users indulge in Social Investing and learn various trading strategies by interacting with leading fund managers, F&O traders, and algo traders.

About StockGro

Founded in January 2020 by former venture capitalist Ajay Lakhotia, we’re well-funded and just closed a massive Pre-Series A fundraise. We are backed by some of the respected investors - Roots Ventures, Velo Partners, Creed Capital, and the likes of Kunal Shah, Vivekananda Hallekere, Rahul Garg as Angels.

We have some brilliant minds with us, working on a mission to make 400 million Indian millennials investment-ready, with Senior Executives from Sequoia, Swiggy, Glance, Airtel, Uber, and institutions like ISB, NITs, and IIMs.

Responsibilities:

closely with CXO & PM to prepare dashboards as per business requirements

with the Data Engineer to get desired data in desired format

about infrastructure cost

in-depth data analysis to identify trends, patterns, anomalies, and insights that can inform strategic decisions.

with cross-functional teams to understand business requirements and translate them into data analysis tasks.

complex data analysis tasks, including data cleansing, aggregation, and visualization.

and automate reports and dashboards for key stakeholders (CXO, PM etc).

actionable recommendations based on data analysis.

with IT teams to optimize data storage and retrieval processes.

and maintain reports and dashboards to track key performance indicators (KPIs).

up to date with industry trends and emerging technologies in data analysis.

Key Competencies

experience of minimum 5 years as a Data Analyst or similar role.

in data analysis tools and programming languages such as SQL, Python etc.

understanding of statistical analysis and data visualization techniques.

with data visualization tools (e.g., Redash or Grafana (First Priority) or Metabase, Tableau, PowerBI (Second Priority))

problem-solving and critical-thinking skills.

communication and collaboration skills.

to work independently and meet tight deadlines.

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