Data Analyst - Internet/eCommerce

We are hiring for Top & Starts up e-commerce & internet companies.

Please find the details below ;

As an Analyst/ Specialist in Data, you act as a data-driven advisor for product leaders and partner with them on strategic decisions to drive product offerings.

You work on both new and existing product offerings to improvise them. You work with people, educate the whole team about important product metrics, and perform rigorous statistical analyses and data deep dives.

Roles & Responsibilities :

- You perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making support for key projects.

- You provide reporting and performance monitoring to product teams using data drawn from diverse sources.

- You own and evangelize data-driven experimentation in the team to improve the product offerings, and document it.

- You enable product reviews, deep dives and analyses through the effective use of data and communicate and report insights and recommendations to shape product strategy.

- You ensure that any data required for carrying out the other responsibilities for the product/features you are working on is properly instrumented and logged.

Required Skills :

- Bachelor's degree in Math, Statistics, Comp Science, Engineering, or other technical field required; advanced degrees strongly preferred.

- Hands on with Python/ Java Programming language.

- Very good understanding of mobile and Internet products, growth strategies and business dynamics.

- Comfortable manipulating, transforming, and analysing complex, high-volume, high-dimensionality data from varying sources.

- 3+ years experience performing quantitative analysis, preferably for an Internet or technology company.

- Hands-on working experience on SQL queries.

- Experience in reporting and dashboards involving very large datasets and multiple data sources, with the ability to interpret data and produce meaningful insights.

- Good understanding of statistical analysis, data warehousing, data modelling.

- Preferred experience with statistical packages such as SPSS, SAS etc. and BI/visualisation tools such as Tableau, Google Analytics etc.

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