Senior Product Analyst

Tala·Remote(India)
Data & Analytics

WFA Digital Insight

As demand for data analytics specialists surges, companies like Tala are at the forefront of harnessing AI-native credit infrastructure. With the global fintech market expected to reach

90 billion by 2027, professionals with expertise in product analysis are in high demand. Tala's commitment to remote work and digital skills makes this role particularly attractive. Candidates should be prepared to demonstrate their ability to interpret complex data sets and drive product strategy, with a keen understanding of the fintech landscape and its rapid evolution.

Job Description

About the Role

The Senior Product Analyst at Tala is a pivotal role that combines analytical prowess with product intuition to guide the company's product direction. This strategic partner to Product, Engineering, and Design teams is responsible for shaping product decisions through rigorous analysis and a deep understanding of metrics, instrumentation, and experimentation. The role operates autonomously, leading analytical strategy for the product area and ensuring a robust analytical foundation for the product team.

Day-to-day, the Senior Product Analyst will collaborate closely with cross-functional teams to identify user behavior trends, validate hypotheses, and uncover growth opportunities. This role is critical in enabling data-driven decision-making, leveraging Tala's expansive dataset to inform product strategy and drive business growth. The Senior Product Analyst will also mentor junior analysts, set standards for analytical depth and clarity, and influence the adoption of best practices in instrumentation and metric stewardship.

Tala's mission to unleash the economic power of the global majority is bold and ambitious. The company has made significant strides in achieving this goal, distributing over $7 billion in capital to more than 13 million customers across Africa, Latin America, and Asia. The Senior Product Analyst will be integral in furthering this mission by driving product decisions that enhance credit access and financial inclusion.

What You Will Do

  • Partner with Product Managers to influence roadmap priorities through structured problem framing and opportunity sizing
  • Drive end-to-end analytical discovery, defining questions, shaping hypotheses, performing root-cause analysis, and identifying second-order effects
  • Produce high-context, narrative-driven analysis that shapes product decisions
  • Identify long-term analytical needs and set the direction for how the product should be measured
  • Own the metric hierarchy for the product domain, including north-star, input metrics, counter-metrics, and diagnostic metrics
  • Design tracking plans and instrumentation schemas, working with engineering to ensure correct implementation
  • Implement automated alerting and monitoring to surface health issues, funnel breaks, outliers, and behavior shifts in real-time
  • Lead the design, execution, and interpretation of experiments, including A/B tests, multivariate tests, and staggered rollouts
  • Select and apply appropriate statistical techniques for causal inference
  • Evaluate experiment readiness, calculate required sample sizes, and estimate expected effects
  • Translate experiment outcomes into clear recommendations for product and business stakeholders
  • Mentor and support junior analysts, setting standards for analytical depth, clarity, and rigor

What We Are Looking For

  • 5+ years of experience in product analysis or a related field, with a proven track record of driving product decisions with data
  • Strong analytical skills, with the ability to collect, organize, and analyze large data sets
  • Experience with statistical techniques and tools for data analysis, such as SQL, Python, and R
  • Excellent communication skills, with the ability to present complex data insights to both technical and non-technical audiences
  • Strong product intuition and the ability to think critically about product strategy
  • Experience with cloud-based data platforms and tools, such as AWS, Google Cloud, or Azure
  • Knowledge of machine learning and AI concepts, with the ability to apply these concepts to product analysis
  • Bachelor's degree in a quantitative field, such as mathematics, statistics, economics, or computer science

Nice to Have

  • Experience working in the fintech industry or a related field
  • Knowledge of credit risk assessment and financial inclusion
  • Experience with data visualization tools, such as Tableau or Power BI
  • Certification in data science or a related field

Benefits and Perks

  • Competitive salary and equity package
  • Opportunities for professional growth and development in a rapidly expanding company
  • Comprehensive health insurance and benefits package
  • Flexible working hours and remote work arrangements
  • Access to cutting-edge technologies and tools
  • Collaborative and dynamic work environment
  • Recognition and reward for outstanding performance
  • Paid time off and holidays
  • Opportunities for travel and professional development

How to Stand Out

  • Develop a strong portfolio showcasing your ability to drive product decisions with data, including examples of successful product launches or feature enhancements.
  • Highlight your experience with statistical techniques and tools, and be prepared to discuss how you apply these skills in a product analysis context.
  • Demonstrate your understanding of the fintech industry and trends, and be prepared to discuss how you stay current with industry developments.
  • Prepare to discuss your approach to mentoring and supporting junior analysts, and how you set standards for analytical depth and clarity.
  • Research Tala's mission and values, and be prepared to discuss how your skills and experience align with the company's goals and objectives.
  • Be prepared to walk through your process for designing and executing experiments, and how you evaluate the results to inform product decisions.

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