Product & Business Analyst

KEY RESPONSIBILITIES :

• Conduct detailed analysis on the performance of product features and assess the impact of product rollouts on business objectives.
• Utilize advanced business analysis techniques, including data projections, Profit & Loss (PnL) analysis, market trend analysis, and customer segmentation.
• Provide insights into product performance metrics including user engagement, churn rates, acquisition cost, and lifetime value (LTV).
• Work with cross-functional teams including product, engineering to define and refine product strategies based on data-driven insights.
• Create and modify Analytics Dashboards and Reports to track KPIs and business performance.
• Work with large datasets in MySQL, BigQuery, and other databases to fetch and analyze data relevant to product development and business goals.
• Develop and execute SQL queries to extract data for reporting and ad-hoc analyses.
• Collaborate with the data science team to integrate AI/ML models for predictive analytics and process automation.
• Identify trends, patterns, and anomalies from various data sources to provide business intelligence that drives product growth and operational efficiency.
• Lead data visualization efforts using tools like Tableau, Power BI, or Looker to communicate findings effectively to stakeholders.
• Provide actionable recommendations based on data insights to drive product and business decisions.

STAKEHOLDER MANAGEMENT :

• Product Team
• QA Team

SKILLS AND QUALIFICATIONS :

• 5+ years of experience as a Product and Business Analyst or in a similar analytical role with a strong focus on digital product analysis.
• Strong experience in conducting business analysis, including market research, data projections, financial forecasting, and PnL analysis.
• Advanced proficiency in SQL (MySQL, BigQuery) for complex data querying and data manipulation.
• Hands-on experience with data visualization tools such as Tableau, Power BI, or Looker.
• Proficiency in Python for data analysis, automation, and report generation.
• Familiarity with libraries like Pandas, NumPy, Matplotlib, and Seaborn is a plus.
• Experience with AI-driven tools and machine learning models to provide insights from data (e.g., integrating AI/ML tools into product strategies).
• Familiarity with tools like Google Analytics, Mixpanel, or Amplitude for tracking digital product metrics.
• Experience in using statistical tools and techniques for market analysis and customer insights (e.g., R, SPSS).
• Expertise in managing and analyzing large datasets and experience working with cloud platforms such as AWS, GCP, or Azure.
• Strong communication skills with the ability to present complex data insights in a simple and understandable manner to both technical and non-technical stakeholders.
• Experience working in an Agile or Scrum environment.

PERSONAL ATTRIBUTES :

• Analytical mindset, Agile Minded.
• Problem resolution skills , Team management skills.
• Ability to work under pressure and meet deadlines.