As a Data Analyst you will help create extensive dashboards for the team and the organisation to leverage while determining the direction of the product, publish insights for the organisation, and will also help occasionally with data collection.

Your primary focus will be in data visualisation, doing statistical analysis, and building high quality use demographics and user interaction funnels. You will also focus on creating data pipelines to automate collection, cleaning and aggregation of data.

What do we expect from you

• 2-4 years of experience doing quantitative analysis.
• Expertise in querying languages:- SQL is a must, experience in Hive, Spark is a plus
• Expertise data visualisation tools, such as Tableau, PowerBI, Google Data Studio etc.
• Ability to initiate and drive projects to completion with minimal guidance.
• Experience with large data sets and distributed computing (Hive/Hadoop) a plus.
• The ability to communicate the results of analyses in a clear and effective manner.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Good understanding of A/B experiments and hands-on experience is a plus.
• Good scripting and programming skills & great communication skills.

What will you work on

• Apply your expertise in quantitative analysis, data mining, and the data visualisation of data to see beyond the numbers and understand how our users interact with our core products.
• Partner with Product & Engineering teams to solve problems and identify trends & opportunities.
• Inform, influence, support and execute product decisions.
• Build/maintain reports, dashboards, and metrics to monitor the performance of products.
• Analyse massive amounts of data and extract useful product insights.
• Creating automated data-pipelines for collecting and aggregate user level data & carrying out ad hoc analysis on a requirement basis.

It would be great if you also have

• Prior experience working with product based startups