Lead Business Analyst

6 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Lead Business Analyst

Key Responsibilities

  • Lead end-to-end analytics projects — from problem definition, data extraction, data wrangling, to insight generation and presentation.
  • Partner with business, product, operations, and engineering teams to identify and solve key business challenges using data.
  • Build and maintain robust dashboards, KPIs, and reporting tools that drive performance tracking and decision-making.
  • Design and implement A/B tests and statistical models to support experimentation and hypothesis testing.
  • Interpret data trends, identify business opportunities, and provide strategic recommendations to leadership.
  • Optimize data quality and ensure governance and best practices in data management.
  • Mentor and guide junior analysts in tools, methodologies, and business understanding.
  • Proactively identify inefficiencies and automate repetitive data processes.

Requirements

  • Bachelor’s/Master’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, or related.
  • 6+ years of experience in data analytics, preferably in a high-growth or large-scale organization.
  • Advanced proficiency in SQL, Excel, and data visualization tools such as Tableau, Power BI, or Looker.
  • Strong working knowledge of statistical methods, data modeling, and experimentation techniques.
  • Hands-on experience with programming languages such as Python or R.
  • Demonstrated ability to derive meaningful insights and communicate them effectively to stakeholders at all levels.
  • Excellent problem-solving, business acumen, and project management skills.
  • Ability to work independently, manage multiple priorities, and thrive in a fast-paced environment.

Preferred Qualifications

  • Experience in domains such as e-commerce, agri-tech, fintech, or supply chain analytics.
  • Familiarity with cloud data warehouses (e.g., BigQuery, Snowflake, Redshift).
  • Exposure to machine learning frameworks and data science workflows.

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