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Senior Product Analyst
3 months ago
Job Description:
We are seeking a detail-oriented and analytical Senior Product Analyst to join our dynamic team. The ideal candidate will have a strong background in data analysis and product management, with experience in the startup or tech industry. You will play a critical role in driving product decisions through data-driven insights and help shape the future of our products.
Key Responsibilities:
- Data Analysis & Reporting: Analyze product performance data to provide actionable insights and recommendations. Develop and maintain dashboards and reports to track key product metrics. Conduct A/B testing to evaluate the impact of product changes and new features.
- Product Strategy & Development: Collaborate with product managers and stakeholders to define product strategy and roadmap. Identify opportunities for product improvements based on data analysis and user feedback. Support product development with data-driven decision-making.
- Market & Competitor Analysis: Perform market research to understand industry trends and competitor strategies. Analyze competitive products to identify strengths, weaknesses, and market opportunities.
- Cross-Functional Collaboration: Work closely with engineering, marketing, and sales teams to align product strategy with business objectives. Provide analytical support for marketing campaigns and sales initiatives.
- Technical Expertise: Utilize Excel, SQL, and Python to extract, manipulate, and analyze large datasets. Automate data extraction and reporting processes to improve efficiency.
Qualifications:
- Bachelor's degree in Engineering, Economics, or a related field.
- 3+ years of experience as a Product Analyst in an Indian startup or tech company.
- Proficient in Excel, SQL, and Python.
- Strong written and verbal communication skills.
- Ability to translate complex data into clear and actionable insights.
- Strong problem-solving skills and attention to detail.
Preferred Skills:
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Knowledge of statistical analysis and data modeling.
- Familiarity with agile product development methodologies.
- Experience working with large datasets and cloud-based data platforms (e.g., AWS, Google Cloud).
(ref:hirist.tech)