Product Analyst

Role & Responsibilities: As a Product Analyst at Seekho, you will: Analyze Product Data: Extract, clean, and analyze large datasets to derive meaningful insights that enhance user engagement and product performance. Develop Data-Driven Strategies: Translate data findings into product improvements and business opportunities, enabling better decision-making. SQL Mastery: Write, optimize, and maintain complex SQL queries to extract insights from databases efficiently. Collaborate Across Teams: Work closely with product managers, engineers, content creators, and marketing teams to align data insights with strategic goals. Monitor and Report Metrics: Track key performance indicators (KPIs) and develop dashboards/reports to measure product effectiveness. Conduct Experimentation & A/B Testing: Design and analyze A/B tests to optimize user engagement and product features. Identify Trends & Patterns: Use statistical and analytical techniques to uncover hidden trends, enabling proactive decision-making. Requirements What We’re Looking For 1+ years of experience in data analysis, product analytics, or a related field. Strong SQL skills – ability to write, optimize, and troubleshoot complex queries efficiently. Proficiency in data tools such as Excel, Google Sheets, and BI tools (Tableau, Power BI, Looker, or similar). Analytical mindset – ability to interpret data, identify patterns, and generate actionable insights. Problem-solving ability – critical thinking skills to solve business challenges through data-driven recommendations. Basic understanding of A/B testing, user behavior analytics, and data visualization techniques. Strong communication skills – ability to present insights clearly to both technical and non-technical stakeholders. A team player who thrives in a cross-functional, fast-paced environment. Preferred Qualifications Experience with SQL-based analytics tools for data manipulation. Knowledge of Google Analytics, Mixpanel, Amplitude, or similar user analytics platforms. Exposure to machine learning, predictive analytics, or data modeling is a plus. Prior experience working in a startup or fast-paced digital environment.