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Tally Solutions Pvt Ltd in Bengaluru is seeking a Senior Data Analyst to transform data into actionable insights. You will own data management, build dashboards, and collaborate with stakeholders to guide business decisions.
The role requires hands-on experience in data analytics and data science, strong BI tooling (Tableau, Power BI, Metabase, QlikView, Data Studio), and familiarity with GenAI/LLM tools for analysis and automation. Proficiency in Python/R and SQL is expected.
At Tally, we are driven by a simple yet powerful philosophy — hire for attitude, train for skills, and develop for leadership. With over 40 years of excellence and a leadership position in the Business Management Software platform leader for SMBs, we continue to innovate at the core of technology.
A strong culture of innovation and ownership
Deep investment in foundational technology (including our own database, memory manager, and application language)
A fast-growing global presence
A mission to impact hundreds of millions of businesses worldwide
To know more about us, you can visit: https://tallysolutions.com/
Senior Data Analyst
Hands-on experience in data analytics and data science.
Hands-on experience with BI tools such as Tableau, Power BI, Metabase, QlikView and Data Studio.
Strong communication and presentation skills.
Sound understanding of big data management.
Working familiarity with GenAI/LLM tools (e.g. ChatGPT, Claude, Copilot) for analysis, SQL generation and automation.
Cleans data regularly and works towards eliminating manual data-cleaning effort.
Archives and manages data for future retrieval.
Develops and maintains data formats.
Applies data techniques and algorithms to achieve the desired results.
Independently builds periodic reports and dashboards, and shares timely insights with all relevant stakeholders.
Understands organizational and project goals, and rigorously collates primary and secondary data.
Working knowledge of query languages and databases (MySQL, MariaDB, MongoDB) for data extraction, and of advanced Excel. Hands-on experience in Python and R.
Designs, builds and integrates data from multiple sources, and manages big data.
Writes complex queries and ensures data is easily accessible and runs smoothly.
Proactively identifies potential issues and causes of failure through study and research.
Uses AI-assisted tools to speed up SQL writing, data exploration, documentation and reporting, while checking outputs for accuracy.
Builds simple AI applications for summarisation, classification, text analytics and plain-language querying of business data.
Uses prompt engineering and Python/API automation to handle repetitive analytics tasks.
Uses AI responsibly, following data privacy, security and governance guidelines.
Only shortlisted candidates will be contacted for further steps in the hiring process.