Partner closely with Product Managers and External stakeholders to understand the new product offerings and recommend the right metrics to measure the impact. Conduct rigorous data analysis and present the findings and recommendations for key decision making. Proactively generate analytics insights on large data sets to help the product team to uncover the high-impact opportunities.
What you will do
- Define and track product metrics to measure the health of products and product features.
- Design and run in A/B Experiments and iterate through them.
- Perform user behavior analysis from events data to identify the user friction points.
- Identify potential opportunities and communicate the areas to Product Managers.
- Collaborate with Engineering and Data Engineering to enable data tracking , resolve complex data issues.
What you will need
- BS in Statistics, Math, Computer Science, Engineering, Economics, Business, or equivalent experience
- At least 3 years of working experience in an analytical role (data analyst / BI / data science / statistician, etc)
- Strong SQL skills with expertise either in Excel/Google Spreadsheets.
- Proficient in Experimental design and Analysis.
- Strong analytical thinking. Comfortable to translate problem statements into structured analytical solutions and share the insights.
- Proficient in creating data pipelines and automated dashboards either in Google Spreadsheets/Tableau/Looker/Quick BI. (Visualization)
- Strong project management skill to manage projects; able to work together with relevant units, also can manage and prioritize multiple internal stakeholders.
The Consumer Lending team at GTF are passionate about empowering our users with the tools to be financially responsible. The Product analyst role is critical to help the product build the right solutions by tackling the right problems through exploratory data analyses and rapid experimentation. Imagine a blend of data analysis, statistical testing, and product management; that sweet spot is where we're at. We're a team that's always willing to get our hands dirty, meaning we're responsible for analyzing, designing, and also executing, because we believe that high impact comes from high accountability. If you're a data whiz who enjoys the collaborative nature of solving user problems, then you might be our person.
