Assistant Manager - Analytics

The Data Analyst will collaborate with various departments and stakeholders to gather, document, and analyze business requirements, processes, and workflows. They will translate these requirements into functional specifications for technology teams and work closely with project managers, developers, and testers to ensure successful project delivery. The Data Analyst will also be involved in identifying areas for process improvement and recommending solutions to enhance operational efficiency and effectiveness. Ideal candidates should be hands-on with Power BI, SQL, Python. Should have strong problem solving skills and have the ability to apply advanced analytical methods to solve real time problems.

• Work closely with teams across the company to understand their data requirements and develop solutions that allow them to make data-backed decisions

• Build, maintain and enhance self-serve data products such as dashboards and tables to reduce time to insights and for tracking product group KPIs

• Identify key metrics and conduct rigorous exploratory data analysis to enable decision making and business prioritization for senior-level stakeholders

• Communicate findings through well documented analyses and visualizations

• Design, run and measure experiments to test business hypotheses

Requirements

• Bachelor's Degree in Science, Engineering, IT and Mathematics from top-tier colleges

• 3+ years of professional experience in data analytics and business intelligence

• Strong understanding of database designs & ETL principles

• Strong hands on experience with SQL, Python/R

• Experience in working with analytics tools like Power BI, Tableau & Google Analytics in building dashboards and performance score cards.

• Strong capability to understand business problems in the context of an Omni Channel Retail and use data to solve them

• Strong stakeholder management skills and assertively manage expectations and negotiate

• Good to have- experience with e-commerce or product based organization

• Excellent communication, team-work and problem-solving skills.

• Basic knowledge of machine learning techniques like Regression, Classification etc.