Manager - Product Analytics - eCommerce

Job Responsibilities

1. Build out and improve our data, analytics and business intelligence foundation to uncover insights that drive action and optimize investments across the marketing funnel.
2. Build product level analytics for tracking conversion funnel, platform performance & identify actionable insights.
3. Build customer transaction level analytics for tracking key leading KPIs & generate actionable insights by combining with qualitative inputs from the partners.
4. Deliver standardized suite of metrics, reports, and dashboards on a consistent cadence.
5. Monitor market trends and competition and work with product marketing and product management to respond in an appropriate and timely manner.
6. Solve business problems via product development & marketing and aid the decision-making process by using predictive modelling on internal and external data.
7. Work closely with the business / product teams to enable data driven decision making.
8. Lead and test marketing-tech integration developments and pilot processes to support expansion to new platforms & optimize older integrations.
9. Present proposals and results in a clear manner backed by data and coupled with actionable conclusions.
10. Collaborate with cross functional teams to drive day-to-day processes.
11. Generate accurate and meaningful analysis and actionable insights.
12. Own and deliver in-depth analysis of the overall Marketing campaigns.
13. Identify loopholes in the analytical processes and propose ways to bridge them.

Job Requirements

1. 4+ years of professional experience in analytics, business analysis or comparable consumer analytics position, preferably in a high growth start up or e-commerce.
2. Qualification: Bachelor’s degree in Analytics, Engineering, Statistics, Management Science, Applied Mathematics, or any other related field.
3. Advanced proficiency in scripting, querying and/or analytics languages and tools: SQL, Tableau / Data Studio, Python / R.
4. Experience in process automation would be an added benefit.
5. Strong organizational skills, strong attention to detail and experience balancing multiple tasks and deadlines.
6. Strong communication, analytical and inter-personal skills.
7. Demonstrated ability for analytical problem solving and research design skills.
8. Experience using marketing stacks to drive and measure performance. Preferred experience with Power BI, Adobe Marketo, and Salesforce.
9. Highly skilled at translating complex quantitative data to diverse audiences.
10. Outstanding communication and collaborative skills.