Role Responsibilities :

- Be a key contributor to the advanced analytics team.

- Employ innovative thinking and encourage experimentation in the delivery of work.

- Leverage technology to create valuable solutions and improve existing ones.

- Ability to present the data in a simple and conclusive manner post synthesizing and analysing the data from various data sources.

- The person coming in this position would be primarily responsible for the GA v4 transition & should take the entire ownership from creating funnels/goals/ source medium tracking etc.

- Setting up of data lake to bring real time effective KPI tracking of the business & setting up of automatic alerts if the performance is below a desired threshold.

- Use your expertise in business analytics and data science to help the management/stakeholders understand the data trends; key problem areas and solutions; product performance, etc.

- Understanding of the product-based SaaS business models; KPI for evaluating the product performance, user acceptance, customer insights, etc.

- Should be able to understand and tie back all the product & operational KPIs to the financial performance of the business.

- Manage projects from end to end with effective and timely delivery of work with a high level of accuracy & attention to detail.

- Maximize the efficient and effective use of resources by utilizing appropriate processes and tools.

- Design & build dashboards by using various tools to provide a real-time business update to various stakeholders viz marketing, product, finance, management.

- Subject expert - thorough understanding of market research and statistical modelling techniques.

- Innovative problem solver - the bigger the problem, the better the solution you create.

- Structured thinker - you can break down complex problems into manageable bits.

- Effective communicator - your presentation skills are accompanied by the ability to explain complex analytical concepts to people even from outside the analytics realm.

- Self-starter - you can work independently, are proactive, and have a challenger mindset.

- Work with the cross-functional group consisting of Engineering, Product, Finance, and Marketing to drive data-based decisions.

Required :

- Ideal candidate will have a Bachelors or Master's Degree with 12+ years of overall experience, of which at least 3-4 years must include direct experience in hands-on reporting, intelligence, and strong analytics & problem-solving experience. Management and/or leadership experience desirable

- Deep understanding of Google Analytics & GA V4.

- Should have prior experience in data lake set up. The candidate should have done the heavy lifting for setting up the data lake.

- Expert knowledge of modelling tools such as R, Python, SAS, SPSS including knowledge of pros and cons/capabilities of such tools

- Established expertise in designing new dashboards, identifying the right metrics, layout; displays proficiency in building dashboards using best practices and intuitive Must be able to accurately comprehend the management requirement; compile and synthesize both quantitative and qualitative data from various sources & then present the outcome.

- Lead major analytical and operational excellence projects across the multi-functional team and enable stakeholders to make data-driven decisions to maximize customer experience/business impact at minimal possible cost.

- Strong Stakeholder management - Management + Marketing + Product + Engineering. Demonstrated capability in working with executive leadership.

- Working knowledge of MySQL; ETL tools - QlikView, Snowflake, Segment, Power BI etc. Should be able to create a dashboard that helps to integrate information captured under various data sources viz - internal database (AWS); Google ads; Bing ads, Google analytics & provide bird's eye view of the current operations.

- Effective presentation & communication skills. Ability to dissect & present the data that is very easy to decipher.

- Advanced statistical modelling skills is a Plus.

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