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Cummins

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4.3

based on 3.1k Reviews

Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards

Top Rated Company for Women - 2024

2 Cummins Business Intelligence Analyst Jobs

Business Intelligence Analyst

Cummins India Ltd

4.3

based on 3.1k Reviews

2-9 years

Pune

1 vacancy

Business Intelligence Analyst

Cummins

posted 12d ago

Job Role Insights

Flexible timing

Key skills for the job

Virtual Assistant Computer Science Supply Chain Management SQL Operations Data Mining

+ 3 more

Job Description

Key Responsibilities:

Gather reporting requirements and analyze data to provide recurring reports.
Perform quality assurance and test conclusions to ensure the validity of the analysis.
Select the right analysis methods for a given issue or problem to provide the most accurate analysis.
Deliver recurring reports and/or analyses to stakeholders on time.
Extract data from operational systems and reporting databases to understand or make conclusions from the data for decision-making purposes.
Use globally standardized dashboards and best reporting practices to support BI needs.
Work with Business Intelligence Analyst - Senior and the Business Intelligence Leader to understand the needs of end users.
Collaborate with the Business Intelligence Analyst - Senior and Business Intelligence Leader to seek clarity on the intent and purpose of the assignment.
Ensure effective communication with key stakeholders on analysis and reporting.
Build and sustain Cummins leadership culture by consistently demonstrating all Cummins Leadership Behaviors, not only those included in competencies supporting this role.

Skills:

Required : Power BI, DAX, SQL, SSIS
Nice to have : Power Automate, Power Apps, Basic knowledge of Oracle SCM, Basic knowledge of Snowflake

Experience:

Experience analyzing data and developing clear and accurate conclusions required.
Experience supporting a customer-focused organization preferred.
Develop expertise in Supply Chain Data Model - SQL server-based data model and provide support to product and/or process owners.
Functional UAT, Functional Specification Documentation.
Experience in Data Modelling - Dimension and Fact tables and in SSAS.

Qualifications:

College, university, or equivalent bachelor s degree in Data Sciences, Economics, Computer Science, Statistics, or a relevant field with a quantitative focus, or equivalent experience required.
This position may require licensing for compliance with export controls or sanctions regulations.

Competencies:

Communicates effectively : Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.
Nimble learning : Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder.
Self-development : Actively seeking new ways to grow and be challenged using both formal and informal development channels.
Tech savvy : Anticipating and adopting innovations in business-building digital and technology applications.
Data Analytics : Discovering, interpreting, and communicating qualitative and quantitative data; determining conclusions relying on knowledge of business or functional frameworks; applying statistics, data validity, data visualization, and problem-solving approaches to effectively extract meaningful patterns and business insights; presenting conclusions and outcomes that enable data-driven business decisions.
Data Quality : Identifying, understanding, and correcting flaws in data that support effective information governance across operational business processes and decision-making.
Values differences : Recognizing the value that different perspectives and cultures bring to an organization.
Action oriented : Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.
Data Mining : Extracting insights from data by identifying relationships and patterns through a suite of data exploration and data visualization techniques to understand the underlying structure of the data and enable sound conclusions upon model building.