Product Analyst II
Role Overview
The Product Analyst works with MX Product and Analytics teams on computational and analytical problems.
The role analyzes customer journeys and end-user metrics, mines and stratifies data, performs quality control, and develops dashboards and KPIs.
Analysis informs product development and portfolio effectiveness; the role communicates results and works through analytical uncertainty.
Key Skills for This Role
Full Job Posting
Position overview
The Product Analyst works with MX Product and Analytics teams on computational and analytical problems.
The role analyzes customer journeys and end-user metrics, mines and stratifies data, performs quality control, and develops dashboards and KPIs.
Analysis informs product development and portfolio effectiveness; the role communicates results and works through analytical uncertainty.
Responsibilities
- Design customer and procedural metrics, conduct operational and segmentation analyses, predict user behavior, and recommend product features.
- Evaluate product effectiveness, including industry comparisons; conduct market analysis, refine customer value propositions, and collect customer feedback.
- Write scripts for data-mining projects, including pattern recognition and identifying relationships between features.
- Create data assets, modeling features, and dashboards for the product platform.
- Monitor data-platform performance and address accuracy, completeness, reliability, and availability challenges.
- Explore product effectiveness, institutional client results, and consumer financial health.
- Communicate analytical findings through presentations and memoranda and advise on analytical practices and data visualization.
Basic qualifications
- Bachelor’s degree with quantitative coursework, such as mathematics, physics, statistics, or computer science.
- One to three years of operational, financial, or marketing analytics experience; likely to include dashboard and KPI building and product-performance analysis.
- Proficiency in at least one database query language, such as SQL.
- Critical thinking, attention to detail, and results focus.
- Experience presenting analytical results to managers and teammates.
Preferred qualifications
- Python or another statistical programming language for data manipulation, analysis, and visualization is preferred.
- Experience with cloud platforms such as AWS or GCP, Jupyter notebooks, or version control such as Git is preferred.
- Fintech, financial services, or high-growth SaaS experience is preferred.
- Excel proficiency, including complex formulas, pivot tables, and data modeling, is preferred.
- Experience with analytics infrastructure, ETL pipelines, or data warehouses is preferred.
Compensation
- Compensation may include base salary and other cash compensation, such as bonus or commissions, as applicable.
- Starting pay may depend on role and level, location, skill set, and peer compensation; no pay cadence or amount is stated.
Work environment
- The description says the role involves significant office work for a standard 40-hour workweek and emphasizes face-to-face collaboration.
Work eligibility
- Applicants must have legal authorization to work in India without sponsorship; the employer states sponsorship is unavailable.
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