Website Velodata Global

Data Analyst at VeloData Global

VeloData Global Pvt Ltd is looking for a versatile Data Analyst to join their Business Intelligence & Analytics division. This role is a perfect fit for a “technical generalist”—someone who can handle the heavy lifting of backend ETL processes while also possessing the “soft skills” to present high-level insights to stakeholders.

At VeloData, the focus is on end-to-end data integrity. You won’t just be making charts; you’ll be responsible for the “cleansing” and “modeling” phases that ensure the final report is actually accurate and reliable.

🟢 Role Overview & Impact

As a Data Analyst here, you are the guardian of data-driven decision-making.

  • Trend Detective: Analyze complex datasets to spot market trends and operational patterns that others might miss.

  • ETL Architect: Handle the data pipeline—cleaning, transforming, and loading large datasets to ensure the “engine” of the company stays fueled with high-quality info.

  • Risk Mitigator: Proactively identify and fix issues regarding data quality and security before they impact the business.

  • KPI Strategist: Build and maintain the dashboards that track the company’s heartbeat, using Tableau or Power BI.

  • Cross-Functional Partner: Bridge the gap between technical data science teams and non-technical business leaders.

📊 Compensation & Role Details (2026)

Based on 2026 market benchmarks for IT Consulting firms in India:

Metric Details
Experience Level 2 – 5 Years (Preferred range for “Highly Skilled” designation).
Average CTC ₹8 LPA – ₹14 LPA (Depends on proficiency in Machine Learning & Python).
Location Likely Hybrid/Remote (Common for IT Consulting roles in 2026).
Technical Stack Python, SQL, Excel, Power BI/Tableau, ETL tools.
Industry Standing Growing player in the IT Services sector with a focus on data governance.

🎯 Required Skills & Expertise

  • Technical Core: Expert-level Excel and SQL. You must be comfortable writing complex queries to extract data from various databases.

  • Modelling Mastery: A solid grasp of Statistical Modelling and Machine Learning principles—this isn’t just about descriptive stats; it’s about predictive insights.

  • Data Visualisation: Ability to build “story-telling” dashboards in Power BI or Tableau.

  • The “Clean-up” Crew: Significant experience in Data Cleansing and Data Quality checks—crucial for maintaining stakeholder trust.

  • Adaptability: The ability to pivot between multiple projects in a fast-paced consulting environment.

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