Tech Stack
PythonSQL
Job Description, Responsibilities & Requirements
About the Position
We are seeking a Senior Product Analyst with strong analytical skills and SQL proficiency to join our team and drive business performance.
Role Summary
The Product Analyst will analyze complex data sets, support product teams in defining KPIs, and generate actionable insights to improve business outcomes. This role requires strong analytical skills, SQL proficiency, and experience with data visualization tools. The ideal candidate will be a proactive problem-solver who can collaborate effectively across teams to enhance user satisfaction and drive business performance.
Responsibilities
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Data Analysis and Insights:
- Analyze large, complex data sets to answer business questions and extract insights using SQL.
- Support the Product team with KPI definition, BI requests, release monitoring, A/B testing, and optimization.
- Collaborate with the Product team to monitor and understand daily business metrics.
- Measure and analyze performance to improve user satisfaction and propose revenue-maximizing strategies.
- Communicate results through clear reports with visual aids.
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Research and Innovation:
- Conduct research from ideation through development.
- Take part in the entire research cycle: the idea phase, collecting and analyzing data, writing simulations, exploring algorithmic approaches, and building proofs-of-concept.
- Work with product leaders to implement solutions to optimize user flows, personalize offerings, and pricing strategies.
- Identify opportunities to integrate data from diverse sources.
- Innovate across teams to drive cross-functional initiatives.
Requirements
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Educational Background:
- Bachelor’s degree in Statistics, Industrial Engineering, Mathematics, or another related field.
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Experience:
- 4+ years of hands-on experience in data analysis and data research.
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Technical Skills:
- Proficiency in SQL and Python (must).
- Experience with Power BI or equivalent data visualization tools.
- Familiarity with research methodologies, experimental design, and statistical modeling techniques.
- Advantage for familiarity and/or experience with Machine Learning.
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Analytical Skills:
- Strong analytical and critical thinking skills, with the ability to interpret complex data and generate meaningful insights.
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Personal Attributes:
- Curious, creative, and impact-driven.
- Self-learner with a strong desire to explore new research areas.
- Team player with a can-do attitude.
- Strong communication and team collaboration skills.