Hyderabad, Telangana, India
Information Technology
Full-Time
Caliber Technologies
Overview
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.
- Strong proficiency in Python for data wrangling, scripting, and analytics
- Advanced SQL skills for data querying, transformation, and analysis
- Strong knowledge of MS Excel for data modeling, dashboards, and scenario planning
- Understanding of basic statistics and statistical modeling techniques
- Experience working with GitHub and version control workflows
- Exposure to API development and integration (advantageous)
- Familiarity with database management systems (e.g., MySQL, PostgreSQL)
- Prior experience in retail analytics or working on retail-focused products
- Understanding of demand forecasting, product lifecycle management, and customer behavior modeling
- Hands-on experience with SaaS platforms, especially in a product-oriented setup
- Bachelors degree in Engineering, Computer Science, Statistics, or a related technical discipline
- 7- 8 years of proven experience as a Business Analyst / Data Analyst in a fast-paced, data-driven environment
- Strong verbal and written communication skills
- Excellent stakeholder management capabilities
- Demonstrated ability to manage ambiguity, solve abstract problems, and work under pressure
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