Sr. Product Analyst - [ Wealth Management ]
We are seeking a talented Senior Product Analyst to join our Team. If you are intellectually curious, if you eat/sleep/drink data and are committed to translating data to insights & insights to actionable work items, want new challenges daily and impact the lives of hundreds of thousands of users, this is the role for you!
What You Will Do :
- Deliver insight and analysis using statistical tools, data visualization, and business use cases with the Product and Business teams
- Understanding of tools like product analytics and engagement platforms like Clevertap, Amplitude, Apxor etc
- Conduct analysis to determine new project pilot settings, new features, user behaviour, and in-app behaviour
- Build & maintain dashboards for tracking business performance and product adoption
- Assist Product Managers and Business teams in creating data-backed decisions
- Collaborate with Consumer Platform's Product and Business teams in identifying new avenues for growth and opportunities, and back their product delivery with experimentation
- Build first cut Machine Learning models based on product requirements
- Automate data extraction by creating de-normalized tables
What You Will Need :
- At least 2+ years of work experience dealing with product analytics, data, and statistics
- Expertise in SQL with experience using data visualization and dashboarding tools (e.g. Tableau, Metabase, Google Data Studio, Clevertap, Python)
- Experience in Machine Learning technologies (i.e. forecasting, clustering, statistical significance test, predictive modeling, and text mining)
- Experience in delivering products as end-to-end data solutions (from data pipelining to analysis, presenting, and scalable adaption)
- A strong business sense with the ability to transform ambiguous business and product issues into well-scoped, impactful analysis
- Strong ability to design and conduct simple experiments
- A goal-oriented, critical-thinking mindset with the ability to work equally well within a team and independently with minimal supervision
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