Lead Data Analyst - Python/R/Power BI (3-8 yrs)

About the Role :

Data Analytics Engineer is an Individual Contributor role who provides actionable insights to multiple stakeholders ( both internal and external ) & will be part of the centralized data team in the company and owns both the compute & publish layer for all the products of it.

Key Responsibilities :

Data Analysis and Insights :

- Analyze complex datasets to extract meaningful insights and identify trends, patterns, and opportunities.

- Collaborate with business stakeholders to define and refine data requirements.

- Provide actionable recommendations to support decision-making processes.

Reporting & Visualization :

- Design, develop, and maintain interactive and insightful dashboards and reports in Power BI.

- Leverage Power BI features like DAX, Power Query, and advanced charting to create visually compelling and user-friendly reports.

- Ensure reports and dashboards are optimized for performance and scalability.

- Manage reporting layer (PowerBI), dashboards deployment and version control.

Stakeholder Collaboration :

- Partner with cross-functional teams to gather and document reporting requirements.

- Communicate findings and insights effectively to both technical and non-technical audiences.

- Act as a liaison between business users and technical teams to ensure alignment.

Data Governance and Quality :

- Maintain data accuracy, consistency, and integrity in all reporting solutions.

- Advocate for best practices in data visualization, analytics, and governance.

- Ensure compliance with organizational and regulatory data policies.

Leadership and Mentoring :

- Lead and mentor junior analysts to develop their skills in data analytics and visualization.

- Promote a culture of data-driven decision-making across the organization.

Tool and Technology Expertise :

- Stay updated with the latest advancements in Power BI and other analytics tools.

- Evaluate and implement new BI tools and methodologies to enhance reporting capabilities.

Ideal Candidate :

Technical Expertise :

- 5-8 years of experience in data analytics and business intelligence.(MUST)

- Proficiency in Power BI, Copilot, Summarize and custom visuals.(MUST)

- Strong SQL skills for data extraction and manipulation.

- Experience with data modeling and ETL processes.(MUST)

Analytical Skills :

- Ability to interpret data and translate it into actionable insights.

- Expertise in analyzing business problems and developing data-driven solutions.

Communication Skills :

- Excellent verbal and written communication skills.

- Ability to present complex data in a clear and concise manner.

Preferred Qualification :

- Experience with other BI tools like Metabase, Quicksight, Apache Superset and Tableau.

- Knowledge of data warehousing concepts and tools (e.g., Snowflake, Azure Data Factory).

- Exposure to Python or R for advanced analytics.

- Experience working any of the public cloud platforms like Azure, AWS, GCP

- Familiarity with data governance frameworks and tools.

- Industry experience in domains like logistics, supply chain, finance, healthcare, or e-commerce.

- Good to have experience working with or understanding of machine learning models and GenAI.