- Professional
- Oficina en Pune
The Business Intelligence Analyst is responsible for preparing and delivering accurate, high-quality business intelligence (BI) analyses and reports to key stakeholders. This role involves gathering reporting requirements, performing data analysis, ensuring data quality, and using standardized dashboards to support decision-making. The analyst works closely with senior BI team members and business leaders to understand stakeholder needs, deliver actionable insights, and support the organization’s strategic goals.
Key Responsibilities- Gather, document, and validate reporting requirements from stakeholders.
- Extract, transform, and analyze data from multiple enterprise sources (e.g., SQL Server, Snowflake, SAP HANA, APIs, Salesforce).
- Perform quality assurance checks to ensure accuracy and validity of analyses.
- Develop and maintain Power BI dashboards, reports, and data models, applying best practices in visualization and storytelling.
- Use advanced SQL for data manipulation, query optimization, and report automation.
- Integrate and analyze Salesforce data to create comprehensive performance and sales reports.
- Automate reporting workflows using Power Automate, Power Apps, or Python to improve efficiency.
- Collaborate with Senior BI Analysts and BI Leaders to clarify requirements, align deliverables, and meet timelines.
- Communicate analytical findings clearly to diverse audiences, tailoring messages to stakeholder needs.
- Support data governance by identifying and correcting data quality issues.
- Apply statistical and analytical techniques to identify trends, patterns, and actionable insights.
- Contribute to building and sustaining the Cummins leadership culture by demonstrating Cummins Leadership Behaviors.
Responsibilities
Skills and Competencies
- Power BI Expertise – Proficient in data modeling, DAX, report publishing, and visualization best practices.
- Advanced SQL – Skilled in writing, optimizing, and maintaining complex queries.
- Data Analytics – Ability to discover, interpret, and communicate qualitative and quantitative data for decision-making.
- Data Quality – Skilled at identifying and resolving data inconsistencies.
- Data Mining – Proficient in identifying trends, patterns, and relationships using analytical tools.
- Tech Savvy – Comfortable adopting new digital tools and technologies.
- Communication Skills – Able to present insights effectively to varied audiences.
- Nimble Learning & Self-Development – Eager to learn through experimentation and feedback.
- Values Differences – Embraces diverse perspectives and fosters an inclusive environment.
- Action Oriented – Handles challenges with urgency, energy, and enthusiasm.
Experience
- Required:
- 3–5 years of experience in Business Intelligence, analytics, or data engineering roles.
- Experience analyzing large datasets and delivering accurate, actionable insights.
- Experience connecting to and integrating multiple data sources.
- Preferred:
- Experience in a customer-focused or service-oriented organization.
- Experience automating reports using Power Automate, Power Apps, or Python.
Qualifications
Qualifications
- Bachelor’s degree in Data Science, Economics, Computer Science, Statistics, or a related quantitative field; or equivalent work experience.
- Strong understanding of data analytics, data governance, and business intelligence concepts.
- Ability to translate business questions into analytical frameworks and data solutions.
Company
Cummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.
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