Key Responsibilities :
- Work closely with product managers and analytics leads to translate business requirements into data driven insights and product modules.
- Provide end-to-end analytics support including data extraction, transformation, validation, and visualization using Python, SQL, and Excel.
- Perform root cause analysis and resolve data and process-related issues effectively.
- Create comprehensive business documentation, including process maps, user stories, use cases, and impact assessments.
- Interface directly with internal and external stakeholders for requirement gathering, prioritization, and delivery tracking.
- Conduct data quality checks, detect anomalies, and implement automated reporting pipelines.
- Collaborate with engineering teams to build APIs and integrate data pipelines when necessary.
- Work in an agile environment, supporting multiple initiatives and product modules simultaneously.
- Assist in ideation, experimentation, and abstract problem-solving to improve existing processes and features.
Technical Skills & Tools :
Strong proficiency in Python for data wrangling, scripting, and analyticsAdvanced SQL skills for data querying, transformation, and analysisStrong knowledge of MS Excel for data modeling, dashboards, and scenario planningUnderstanding of basic statistics and statistical modeling techniquesExperience working with GitHub and version control workflowsExposure to API development and integration (advantageous)Familiarity with database management systems (e.g., MySQL, PostgreSQL)Preferred Domain Experience :
Prior experience in retail analytics or working on retail-focused productsUnderstanding of demand forecasting, product lifecycle management, and customer behavior modelingHands-on experience with SaaS platforms, especially in a product-oriented setupRequired Qualifications :
Bachelors degree in Engineering, Computer Science, Statistics, or a related technical discipline7- 8 years of proven experience as a Business Analyst / Data Analyst in a fast-paced, data-driven environmentStrong verbal and written communication skillsExcellent stakeholder management capabilitiesDemonstrated ability to manage ambiguity, solve abstract problems, and work under pressure(ref : hirist.tech)