About the Role:

As a Business Data Analyst, you turn data into actionable answers that drive operational and tactical business decisions. You split your time between answering ad-hoc analytical questions, qualifying and delivering data requests, and providing analytical support for ongoing business projects.

You act as a trusted analytical partner to business stakeholders understanding the core problem behind their questions, ensuring existing reporting tools are utilized before pulling raw datasets, leveraging up-to-date AI tools to accelerate delivery, and translating complex data into clear, practical insights.

Key Responsibilities:

- Business Problem Framing: Meet with stakeholders to clarify requirements, challenge baseline assumptions, and translate broad business questions into structured analytical tasks.
- Ad-Hoc & Diagnostic Analysis: Independently run exploratory and deep-dive analyses on operational data to uncover patterns, identify root causes, and explain the "why" behind business performance trends.
- Project Analytics Support: Deliver data analyses, establish baseline metrics, and track progress for cross-functional initiatives and business projects.
- Data Request Gatekeeping & Qualification: Critically evaluate incoming requests for data extracts. Determine whether the business question can already be answered via existing Tableau dashboards or standard reports before generating custom outputs.
- Access Control & Governance: Confirm that stakeholders have appropriate data access rights and verify that a standalone extract is genuinely needed before sharing data.
- Data Extract Delivery: Write and execute verified SQL queries to extract, filter, and deliver validated datasets when existing reporting solutions do not meet the need.
- Analysis Storytelling & Visual Presentation: Build project-specific Tableau dashboards, charts,



and visual decks to present analytical findings and communicate key takeaways clearly to non-technical stakeholders.
- BI Handover & Industrialization: Identify recurring reporting needs arising from your analyses and work with the central Business Intelligence (BI) team to hand over requirements for production, automated, and recurring enterprise dashboards.
- AI-Assisted Efficiency: Actively leverage modern AI tools (e.g., LLMs, code assistants) to accelerate SQL query generation, debug scripts, structure ad-hoc analyses, and streamline routine analytical workflows.
- Data Quality & Validation: Inspect source data across databases and cloud platforms to ensure all analyses, extracts, and presentations are reliable, consistent, and accurate.

Qualifications:

- Education: Bachelor’s or Master’s degree in Business, Information Management, Economics, Computer Science, or a related field.
- Experience: 2 to 4+ years of practical experience in a data analysis role supporting business decision-making.
- Technical Skills:
- Strong SQL skills to independently query, join, filter, and aggregate data across relational databases and cloud environments.
- Practical experience creating visuals and analytical dashboards in Tableau (or similar modern BI tools) to present insights.
- Practical familiarity with AI-assisted coding and productivity tools (such as Gemini, Claude, or similar LLM assistants) to speed up analysis, query writing, and documentation.




- Working knowledge of Python or R for exploratory analysis, statistical evaluation, or data manipulation is an advantage.

- Data Platforms: Practical familiarity with cloud data warehouses (e.g., Google Cloud BigQuery) and data warehouse concepts.
- Analytical Mindset & Gatekeeping: Strong ability to frame ambiguous business problems, paired with the assertiveness to challenge requests and guide users toward existing dashboards instead of defaulting to raw data dumps.
- Communication & Collaboration: Excellent verbal and written communication skills in English; capable of translating technical findings into plain business language and collaborating effectively with the central BI team for reporting handovers.

What We Offer

- A versatile analytics role balancing strategic project analysis with rapid operational problem-solving.
- Direct access to modern cloud data platforms and analytics tools (GCP BigQuery, Tableau).
- A forward-looking work culture that encourages the use of modern AI assistants to boost day-to-day productivity.
- Clear interfaces between exploratory analysis and central BI delivery.
- High autonomy and visibility across business departments.
- Competitive salary and comprehensive advantages package.

PEOPLE ARE AT OUR HEART:

TVH is a global business with a family atmosphere, where people are at the center. We value clarity, mutual respect, kindness and open communication. Our people are down-to-earth, easy to work and engage with. We welcome differences and celebrate new ideas.

ABOUT TVH:

TVH is a parts specialist for quality parts and accessories for material handling, industrial vehicles, and construction and agricultural equipment. Working at TVH is opting for a company that excels as an international market leader and is well-known for its unstoppable craving for innovation.

📌 Data Analyst (Pune)
🏢 Tvh India Private
📍 Pune