Sr. Business Data Analyst

• Analyze complex data to identify patterns, detect anomalies in data using statistical tools as well as machine learning algorithms if required.
• Drive product and process improvements across the broad spectrum of projects in the Item and Inventory organization
• Find workable solutions in case of data inconsistency and inconclusive data.
• Drive projects with minimal guidance. Provide thought leadership by researching best practices and conducting experiments.
• Evaluate various analytical/statistical methods and procedures and provide recommendations of relevance, applicability, and efficiency.
• Conduct data storytelling to stakeholders through rich visualization and presentation.
• Able to communicate internally and externally through publication, presentations, and other mediums on research progress, major breakthroughs, and product innovation.
• Effectively coach junior data analysts to work through ambiguous issues, integrate input from stakeholders across the company

• Experience with large data sets/ data warehouses, including the ability to extract data from data sets using advanced scripting or SQL.
• Expert Knowledge in Microsoft Excel, Access, and VBA.
• Proficiency in Data Visualization using Tableau or Power BI, or similar tools.
• Experience with Python, or R to help facilitate predictive analytics.
• Strong analytical mindset with excellent logical, reasoning, and problem-solving skills.
• Background in data analytics, business intelligence and reporting.

• Bachelors / Masters degree or related discipline with 5 to 8+ years of experience (5+ Relevant).
• Minimum of relevant 5 years of job experience and more (in SQL, Excel, Tableau/ Power BI).
• Minimum of relevant 2 years job experience in Python/ML/AI.
• Good to have hands-on experience with BI Tools, ETL, data processing, database programming and data analytics & reporting.
• Good to have Knowledge of RPA.
• Knowledge of working in a cloud environment (AWS) is a plus.
• Excellent communication skills in English both written and spoken.

Skills:- SQL, PowerBI, Tableau, MS-Excel, Python and Data Analytics