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 solid 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.

📌 AWS Business/Product Analyst (Noida)
🏢 Mirchi
📍 Noida