Cummins Hiring Business Intelligence Analyst 2026 | Apply Now

07/07/2026 Khasim

Cummins Business Intelligence Analyst Hiring 2026 | Apply Now

Cummins is hiring candidates for the Business Intelligence Analyst role. This opportunity is suitable for candidates with a Bachelor’s degree in Data Science, Economics, Computer Science, Statistics, or another quantitative discipline, along with practical experience in business intelligence, data analysis, dashboard development, data modeling, and reporting.

The Business Intelligence Analyst will be responsible for preparing and delivering BI analyses, dashboards, analytical models, and reports that support data-driven decision-making. Candidates with strong knowledge of Power BI, DAX, SQL, Snowflake, Databricks, SQL Server, and SSAS models can consider this opportunity.

Quick Job Snapshot

Company Name	Cummins Inc.
Role	Business Intelligence Analyst
Qualification	Bachelor’s Degree in Data Science, Economics, Computer Science, Statistics, or another Quantitative Field
Experience	Relevant Experience Required
Eligible Batch	Not Specified
Salary	Not Disclosed
Job Type	Full-Time
Role Category	On-site with Flexibility
100% On-Site	No
Req ID	2431415

About Cummins

Cummins is a global organization operating across technology, engineering, power solutions, manufacturing, and related business areas. The organization uses data, analytics, technology, and business intelligence capabilities to support decision-making and improve business performance across different functions.

The Business Intelligence Analyst role focuses on turning complex business data into meaningful insights. The selected candidate will collaborate with business leaders, senior BI analysts, technical teams, and stakeholders to understand requirements and develop scalable analytics and reporting solutions.

About the Business Intelligence Analyst Role

The Business Intelligence Analyst is responsible for preparing and delivering BI analyses, dashboards, visualizations, analytical models, and reports. The role involves gathering reporting requirements, extracting data from multiple systems, performing data quality checks, analyzing datasets, and communicating meaningful insights to stakeholders.

The selected candidate will work with data from operational systems, reporting databases, data warehouses, and modern data platforms. The analyst will use standardized BI practices and appropriate analytical techniques to develop recurring reports, ad hoc analyses, dashboards, and decision-support solutions.

Key Responsibilities

Gather business and reporting requirements from stakeholders.
Translate stakeholder requirements into analytical solutions.
Develop and deliver recurring business reports.
Extract data from operational systems.
Work with reporting databases and data warehouses.
Cleanse, validate, and analyze data from multiple sources.
Generate actionable insights from complex datasets.
Perform quality assurance checks on data and analytical outputs.
Ensure the accuracy and consistency of analytical conclusions.
Select appropriate analytical methods based on business requirements.
Choose suitable reporting and visualization techniques.
Develop and maintain business intelligence dashboards.
Create reports and visualizations using standardized BI practices.
Deliver recurring reports within defined timelines.
Perform ad hoc data analysis based on business needs.
Build and improve analytical models for business decision-making.
Collaborate with senior Business Intelligence Analysts.
Work with business leaders and stakeholders to clarify requirements.
Communicate analytical findings to technical and non-technical audiences.
Collaborate effectively across global teams.
Manage multiple stakeholder expectations and priorities.
Bridge business requirements with analytics and technology solutions.
Support improvements in data governance and reporting standards.
Contribute to continuous improvement of analytical capabilities.

Eligibility Criteria

Candidates should have a Bachelor’s degree in a relevant quantitative discipline.
Data Science graduates can apply.
Economics graduates can apply.
Computer Science graduates can apply.
Statistics graduates can apply.
Candidates from other quantitative fields may also be considered.
Equivalent practical experience may be considered.
Experience analyzing data and delivering accurate, actionable insights is required.
Candidates should have experience designing and delivering analytical solutions.
Hands-on experience with BI tools is essential.
Experience with data modeling and reporting systems is required.
Experience supporting customer-focused or service-oriented organizations is preferred.
Additional certifications in Business Intelligence, Data Analytics, or Data Engineering are preferred.

Power BI Skills

Power BI is one of the major technical skills mentioned for this Business Intelligence Analyst opportunity. Candidates should understand dashboard creation, report development, data transformation, data relationships, data modeling, visualization selection, filtering, drill-down functionality, and interactive report development.

Candidates should be prepared to discuss Power BI projects they have developed. They should be able to explain the business problem, data sources used, data preparation process, model design, visualizations selected, calculations created, and insights generated from the final dashboard.

DAX Knowledge

Candidates should have knowledge of DAX for creating calculations and analytical logic in Power BI data models. Preparation should include calculated columns, measures, filter context, row context, aggregation functions, conditional calculations, date-based calculations, and common business metrics.

For technical interviews, candidates should understand the difference between measures and calculated columns and explain how calculations can be designed to respond dynamically to report filters and user interactions.

SQL Skills

Strong SQL skills are required for querying and transforming structured data. Candidates should prepare SELECT statements, filtering, sorting, joins, GROUP BY, aggregate functions, subqueries, Common Table Expressions, window functions, case expressions, and data validation techniques.

Since the analyst will extract and analyze information from multiple data systems, practical SQL problem-solving ability is important. Candidates should practice writing queries that combine datasets, identify missing values, calculate business metrics, detect duplicate records, and prepare data for reporting.

Snowflake Knowledge

The role includes experience with modern data platforms such as Snowflake. Candidates with Snowflake exposure should understand cloud data warehousing fundamentals, databases, schemas, tables, warehouses, roles, data loading, query execution, and analytical workloads.

Applicants should highlight practical experience with Snowflake in academic projects, internships, or professional work. They should be prepared to explain how data was stored, transformed, queried, and used for analytics or dashboard development.

Databricks Skills

Databricks is another modern data platform mentioned in the required skill set. Candidates should understand its role in data engineering, data processing, analytics, and collaborative data workflows.

Relevant exposure to notebooks, data transformation, large datasets, pipelines, or analytics workflows can be useful. Candidates should clearly describe how they used Databricks and what business or technical problem they solved.

SQL Server and SSAS Models

Candidates may work with SQL Server and SSAS models as part of the organization’s reporting and analytics environment. Understanding relational databases, structured queries, data models, reporting datasets, and analytical models can support candidates preparing for this role.

Knowledge of how reporting tools connect with data sources and analytical models can help candidates understand the complete flow from raw business data to final dashboards and reports.

Data Quality and Validation

Data quality is an important responsibility in this role. Analysts should ensure that the information used for reporting and decision-making is accurate, consistent, complete, and reliable.

Candidates should understand common data quality problems such as missing values, duplicate records, inconsistent formats, invalid values, incorrect mappings, and outdated information. They should also understand how validation checks can be incorporated into analytics workflows.

Data Governance Knowledge

The Business Intelligence Analyst will support continuous improvement in data governance and reporting standards. Candidates should understand the importance of data ownership, quality standards, consistency, access management, documentation, and standardized definitions.

Good governance helps ensure that different teams use reliable information and consistent business definitions. Candidates should be able to explain why trusted data is important when dashboards and analytical reports are used for business decisions.

Data Mining and Statistical Analysis

The role requires knowledge of data mining and statistical analysis techniques. Candidates should understand how patterns, trends, relationships, and unusual observations can be identified within business datasets.

Preparation can include descriptive statistics, distributions, averages, variation, correlation, segmentation, trend analysis, and other fundamental analytical concepts. Candidates should focus on explaining how analytical techniques can answer practical business questions.

Data Visualization Skills

Effective data visualization is important because analytical findings need to be communicated to different stakeholders. Candidates should understand how to select suitable charts and visual formats based on the type of information being presented.

Dashboards should communicate insights clearly without unnecessary complexity. Candidates should be able to explain how they organize dashboard layouts, select important KPIs, apply filters, and present trends or comparisons to decision-makers.

Analytical and Problem-Solving Skills

Cummins requires candidates with strong analytical and problem-solving capabilities. Analysts should be able to understand a business problem, identify relevant data, select an analytical approach, verify results, and translate findings into useful recommendations.

Candidates should prepare examples from previous projects or work experience where they analyzed a dataset, identified an important pattern, solved a reporting problem, automated an analysis, or helped improve a business decision.

Stakeholder Management

The role requires collaboration with senior BI analysts, business leaders, and stakeholders. Candidates should be able to gather requirements, ask relevant questions, understand reporting objectives, clarify ambiguous requirements, and manage expectations professionally.

Since the role involves global collaboration, candidates should demonstrate clear communication, active listening, professional documentation, and the ability to manage multiple priorities in a fast-paced environment.

Python and Machine Learning Exposure

Exposure to Python and Machine Learning is listed as an added advantage. Candidates with these skills can highlight projects involving data cleaning, exploratory data analysis, automation, predictive modeling, classification, regression, or other data-driven applications.

Applicants should focus on practical understanding and be prepared to explain the complete workflow of their projects, including the problem statement, dataset, preprocessing, analysis, model or solution, evaluation, and results.

OpenAI Technologies and Microsoft Power Platform

Exposure to OpenAI technologies and Microsoft Power Platform is an additional advantage for this role. Candidates with relevant experience can highlight projects involving AI-assisted workflows, automation, business applications, or productivity improvements.

Practical projects that combine analytics with automation can help demonstrate the ability to bridge business requirements, data, and technology solutions.

Why This Role Is Relevant for BI Professionals

The Cummins Business Intelligence Analyst role provides exposure to dashboard development, reporting, analytical modeling, data quality, data governance, stakeholder management, and modern data platforms.

This opportunity can be relevant for professionals building careers as Business Intelligence Analysts, Data Analysts, Power BI Developers, BI Developers, Analytics Consultants, Reporting Analysts, or Data Visualization Specialists.

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📘 Recommended Courses

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🎯 Interview Questions and Preparation

Candidates can prepare SQL, data analytics, database, programming, and fresher interview questions using the interview preparation resources below:

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How to Apply for Cummins Business Intelligence Analyst Recruitment 2026

Interested and eligible candidates can apply for the Cummins Business Intelligence Analyst role through the official Cummins careers portal. Before submitting the application, candidates should carefully review the educational requirements, experience expectations, technical skills, and job responsibilities mentioned in the official job description.

Click the Apply Now button provided below.
Visit the official Cummins Business Intelligence Analyst application page.
Read the complete job description, responsibilities, skills, experience requirements, and qualifications carefully.
Create a candidate account or sign in to the careers portal if required.
Enter accurate personal, educational, professional, and contact information.
Highlight practical experience with Power BI, dashboard creation, data modeling, and DAX.
Add strong SQL skills and relevant experience working with structured datasets.
Mention exposure to Snowflake, Databricks, SQL Server, and SSAS models where applicable.
Highlight relevant projects or professional experience involving data analysis, reporting, visualization, data quality, and data governance.
Add exposure to Python, Machine Learning, OpenAI technologies, or Microsoft Power Platform if applicable.
Include relevant Business Intelligence, Data Analytics, or Data Engineering certifications.
Upload your latest resume, verify all information carefully, and submit the application.

🚀 Apply Now – Cummins

Frequently Asked Questions (FAQs)

1. Who can apply for the Cummins Business Intelligence Analyst role?

Candidates with a Bachelor’s degree in Data Science, Economics, Computer Science, Statistics, or another quantitative field can apply. Equivalent practical experience may also be considered. Candidates should have experience analyzing data and delivering actionable insights, along with practical experience in analytical solutions, BI tools, data modeling, and reporting systems.

2. What technical skills are required for the Cummins Business Intelligence Analyst position?

Candidates should have strong skills in Power BI, dashboard creation, data modeling, DAX, and SQL. Experience with modern data platforms and technologies such as Snowflake, Databricks, SQL Server, and SSAS models is also relevant. Knowledge of data quality, data governance, data mining, statistical analysis, and visualization techniques is important for the role.

3. Are Python, Machine Learning, and AI skills mandatory for this role?

No. The job description lists exposure to Python, Machine Learning, OpenAI technologies, and Microsoft Power Platform as added advantages. Candidates should primarily focus on demonstrating strong Business Intelligence, Power BI, SQL, data modeling, reporting, analytics, and problem-solving capabilities.

Conclusion

The Cummins Business Intelligence Analyst opportunity is suitable for candidates with experience in data analysis, business intelligence, reporting, dashboard development, and analytical solution delivery. The role provides exposure to Power BI, DAX, SQL, Snowflake, Databricks, SQL Server, SSAS models, data quality, data governance, stakeholder collaboration, and analytical decision support.

Candidates should prepare a focused resume highlighting relevant BI projects, Power BI dashboards, DAX calculations, SQL queries, data modeling experience, analytical solutions, reporting systems, and modern data platform exposure. Eligible candidates should review the official requirements carefully and submit their applications through the Cummins careers portal.