Data AnalyticsWhat you will do:
- Bringing data to life via Historical and Real Time Dashboard like:
2. Transaction behavior analytics
3. User level analytics
4. Propensity models and personalization models, eg whats the best product or offer to drive a sale
5. Emails/ SMS/ AN – analytics models getting data from platforms like Netcore+ Branch+ Internal Tables
6. Other reports that are relevant to know what is working, gaps, etc
- Monitoring key metrics such as commission, gross margin, conversion, customer acquisitions etc
- Using the data models and reports to draw actionable and meaningful insights. Based on the insights helping drive the strategy, optimization opportunities, product improvement and more
- Demonstrating examples where data interpretation led to improvement in core business outcomes like better conversion, better ROI from Ad spends, improvements in product etc.
- Digging into data to identify opportunities or problems and translating them into easy-to-understand way for all key business teams
- Working closely with various business stakeholders: Marketing, Customer Insights, Growth and Product teams
- Ensuring effective and timely delivery of reports and insights that analyze business functions and key operations and performance metrics
What you need to have:
- Minimum 2 years of data analytics and interpretation experience
- Proven experience to show how data analytics shaped strategy, marketing and product. Should have multiple examples of this based on current and past experience
- Strong Data Engineering skills using tools like SQL, Python, Tableau, Power BI, Advanced Excel, PowerQuery etc
- Strong marketing acumen to be able to translate data into marketing outcomes
- Good understanding of Google Analytics, Google AdWords, Facebook Ads, CleverTap and other analytics tools
- Familiarity with data sources like Branch/ Clevertap / Firebase, Big Query, Internal Tables (User/ Click/ Transaction/ Events etc)
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