Sr. Business Data Analyst

• The Senior Business Data Analyst will be responsible for leading and/or supporting critical Insights projects
• that require the collection, cleansing, integration, and analysis of disparate and sometimes imperfect data
• to answer business questions and inform the business. The selected candidate will define the need with
• stakeholder input, perform analyses with necessary input/collaboration as called for, and share results
• through dashboards, presentations, and other means in a consumable manner to technical as well as nontechnical
• audiences.

Responsibility:-

• 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 Item and

Inventory organization

• Find workable solution 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

recommendation of relevance, applicability, 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

Technical Skills:-

• 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.

• Bachelor’s / Master’s degree or related discipline with 5 to 8+ years’ of experience (5+

Relevant).

• Minimum of relevant 5 years 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 on RPA.
• Knowledge of working in cloud environment (AWS) is a plus.
• Excellent communication skills in English both written and spoken.