Business Analyst/Senior Business Analyst - Analytics - Global Eyewear Retail

We are looking for strong Business Analyst / Sr. Business Analyst who will enable the adoption of analytics

Our clients business is spread across ecommerce, retail and manufacturing and a wealth of omnichannel data is generated to enable strong analytics.

The role will key to unlock the value from it with use of advanced data analytics concepts.

- Assist business team and marketing managers in the formulation of the company's strategy using consistent data and insights derived from the same

- Develop intelligent analytics dashboards to drive impact metrics using Power BI / Google Data Studio.

- Analyse customer data patterns using advanced SQL on mysql / Redshift / excel / python.

- With 1.5-5 yrs. work experience in Data Analysis and Data science (preferred)

- Provide leadership and deep technical expertise in all aspects of dashboard design

- Visualization using BI tools such as Power BI, SQL, Advance Excel etc.

- Translating business requirements and user requests into effective report and dashboard designs in challenging deadlines.

- Hands on experience in Customer analytics/Marketing analytics/Digital analytics.

- Assist with performance tuning of dashboards, background data queries as needed

Job requirements

- Bachelor's / Masters degree (MBA, B.Tech, Economics) from tier 1 /2 colleges with at least 2 years of experience in Analytics in a corporate setting. Master's in planning & analytics or M.Sc Economics or M.Tech

- Candidate should have an advance knowledge of MS Excel, MS word, Power point

Education / Certification in field of analytics will be an added advantage

- Hands on experience with in a major analytics software's (e.g. MySql, redshift, PowerBI, Google Analytics)

- Superior analytical and quantitative skills, with experience working with large, complex data sets.

- Strong troubleshooting, analytical and creative problem solving skills. Ability to collect, manipulate, cleanse and interpret data from multiple data sources, required.