Data Analyst

0 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About The Role

We are looking for a highly analytical and business-oriented Data Analyst to join our– Analytics team. This role is ideal for someone who can turn data into insights across both Business, supporting strategic decisions and enhancing business performance across functions i.e sales, marketing and supply chainWe are looking for a highly analytical and business-oriented Data Analyst to join our team. This role is ideal for someone who can turn data into insights across both Business, supporting strategic decisions and enhancing business performance across functions i.e sales, marketing and supply chain.
  • Analyze business performance across digital (web, app, campaigns) and non-digital channels (retail, call centers, field operations, Institutional franchise , painting service ) to identify trends, gaps, and opportunities.
  • Translate business challenges into analytical models and deliver actionable insights.
  • Develop and maintain dashboards and reports using Power BI to visualize KPIs and performance metrics.
  • Conduct secondary research to support strategic planning and customer understanding.
  • Present insights through data storytelling to influence stakeholders and support decision-making.
  • Monitor and report on monthly performance across key areas including: Sales, Marketing, Customer Experience (CX), Supply Chain, Finance.
  • Identify grey areas, improvement opportunities, and high-performing segments through deep-dive analysis.
  • Collaborate with cross-functional teams to explore and implement data-driven solutions that improve business effectiveness.
  • Collaborate with cross-functional teams within the organization to explore and implement data-driven solutions that improve business effectiveness.
  • Strong proficiency in SQL for querying and managing large datasets.
  • Hands-on experience with Python and data libraries (Pandas, NumPy, Matplotlib, Seaborn).
  • Solid understanding of statistics and business metrics.
  • Expertise in Power BI or similar tools for data visualization and dashboarding.
  • Excellent presentation and communication skills to convey insights clearly.
  • Familiarity with digital analytics tools (e.g., Google Analytics, Adobe Analytics) and experience working with non-digital data sources.
  • Ability to manage multiple stakeholders and work in a fast-paced environment.

Preferred Qualifications

  • Degree in Business Analytics, Data Science, Statistics, Economics, or a related field from a premier institute.
  • Prior experience in Digital & Omnichannel Business Analytics, E-commerce, or Customer Experience (CX) domains.
  • Exposure to A/B testing, customer segmentation ,decision trees etc.

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