Lead Data Analytics (Python / R, PowerBI)

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.
Must Have Skills-.
Technical Expertise:.
58 years of experience in data analytics and business intelligence..
Proficiency in Power BI, Copilot, Summarize and custom visuals..
Strong SQL skills for data extraction and manipulation..
Experience with data modeling and ETL processes..
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 Qualifications.
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.