Job Location: Chennai
Working as a part of Product Analytics, the role requires you to work closely with senior leadership, product, and customer-facing functions, for helping them make data-driven decisions.
Responsibilities:
- Lead and execute data analytics projects end-to-end. Directing and executing multiple medium to large analytic projects along with the rest of the stakeholders.
- Actively seek out opportunities to innovate by using non-traditional data and new modeling techniques.
- Utilize strong database skills to work with large, complex data sets to extract insights.
- Using advanced analytics and metrics to improve processes and provide data-driven forecasts of potential costs, revenues, and risks of business initiatives.
- Influencing business decision making by providing quantitative/qualitative data analysis, which brings out insights and trends pertaining to business performance.
- Communicating findings to stakeholders and taking initiatives for improving business performance.
- Ensure that data and analysis is presented in a format that is appropriate for a varied audience using data visualization, dashboards, or other methods.
- Collaborate with cross-functional team members to come up with actionable, high-impact insights across product lines and functions.
Qualifications:
- Education and experience: Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science).
- Minimum of 7 years of analytical experience in applying statistical solutions to business problems.
- A passion in helping organizations understand how to solve problems through analytics, with a proven track record of delivering on such projects and bringing business impact.
- Ability to manage simultaneous tasks in a fast-paced, technology-oriented environment often dealing with ambiguity. Demonstrated experience in planning, organizing, and managing multiple analytic projects with diverse cross-functional stakeholders.
- Prior project experience in one or more of the following areas are preferred, but not absolutely required.
- Sound statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, Experimental Design, etc.
- Hands-on experience with one or more data analytics/programming tools such as SQL/Python/Hive/SAS/Hadoop/R, data transformation and processing. Work experience with real data for customer insights, business and market analysis will be advantageous.
- Hand-on experience with product analytics tools, such as, Heap Analytics and Amplitude, to study user journeys.
- Experience with a visualization tool such as Tableau, Power BI, Sisense, Looker, etc.
- Experience with text analytics, data mining and social media analytics is an added advantage.
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