OLX - Lead/Manager - Analytics - IIT/NIT/BITS/IIM/FMS

The overall responsibility will be to help drive core business results through delivery of strategic and tactical insights from data. This will include the following:

- Heavy data crunching to build insights and recommendations and drive operational decision making

- Developing insightful analysis about business and their strategic and operational implications:

- Conceptually design, execute and embed analysis that support strategic planning and decision-making with external & internal sources

- Develop story lines, collect data/input, Analyze and make presentations

- Conduct qualitative and quantitative studies in a structured way, suggesting areas of improvement and identifying opportunities / threats based on internal and external data sources, market trends and user behaviour in an effort to strengthen efficiency and provide strategic direction

- Prepare reports for management & operations to drive decisions

Skills/Qualifications required:

- 6 - 9 years of business analytics experience

- Education: B.Tech/ M.Tech/MBA preferably from a premier institute (IIT/NIT/BITS/IIM/FMS etc)

- Expert in use of SQL, Excel and one or more of the statistical tools like R, SAS, VBA for data manipulation and statistical analysis purposes

- Expert in manipulating and analyzing complex, high-volume, high-dimensional data from varying sources

- Exposure to statistical techniques like Predictive Modelling, Regression, Cluster Analysis, Factor Analysis, hypothesis testing, exploratory analysis etc. would be a plus but is not mandatory

- Excellent analytical skills - ability to understand and interpret data within the context of the business - solve problems and distill data into actionable recommendations

- Demonstrated ability to work across cross-functional teams; independently and proactively

- Intellectual and analytical curiosity - initiative to dig into the - why- of various results

- Desire to learn new technologies and grow analytical skill set

- Comfortable working in a fast and dynamic environment with tight deadlines