Cummins Inc. · 21 hours ago
Data Analyst
301 Jackson Street, Columbus, IN, 47201, US
Full-time
Onsite
Entry Level
2+ years expCummins Inc. is seeking a talented Data Analyst to join their Systems/Information Technology team in Columbus, IN. In this role, you will analyze complex data sets to provide insights for strategic decision-making, communicate effectively with diverse audiences, and ensure data integrity across the organization.
Automotive
Responsibilities
Act with Urgency and Energy: Tackle challenges and seize new opportunities with enthusiasm, driving momentum and progress across projects and teams
Communicate with Clarity: Deliver tailored, multi-mode communications that resonate with diverse audiences, ensuring alignment and understanding at every level
Put Customers First: Build strong relationships and deliver solutions that reflect a deep understanding of customer needs and priorities
Leverage Technology for Growth: Stay ahead of digital trends and adopt innovative tools that enhance business performance and operational efficiency
Turn Data into Decisions: Analyze and interpret complex data sets to uncover insights, enabling informed, strategic decision-making across the organization
Tell Stories Through Data: Use visual storytelling—dashboards, reports, and presentations—to clearly communicate business problems, root causes, and solutions
Ensure Data Integrity: Assess and improve data quality through profiling and cleansing, ensuring reliable information for business processes and governance
Champion Inclusion: Recognize and celebrate diverse perspectives, fostering a culture of belonging and collaboration that strengthens team performance
Analytical Mindset: Ability to conduct descriptive and diagnostic analytics to uncover trends, patterns, and root causes in complex data sets
Machine Learning Proficiency: Familiarity with machine learning tools and techniques to enhance data quality and automate data-driven improvements
Business Intelligence Skills: Experience creating clear, actionable reports and dashboards using BI technologies to communicate insights effectively
Data Profiling Expertise: Skill in assessing data tables and elements to identify quality issues, redundancies, and opportunities for optimization
Metadata & Catalog Management: Attention to detail in maintaining accurate data catalog entries and ensuring high-quality metadata for discoverability and governance
Data Quality & Cleansing Knowledge: Ability to identify and resolve data coherency and integrability issues and collaborate on developing effective cleansing rules and methods
Documentation & Process Discipline: Strong organizational skills to support the creation and maintenance of documentation for key decisions, rules, and processes
Cross-Functional Collaboration: Comfort working across teams to align data practices with business needs, ensuring data integrity and usability for decision-making
Qualification
Required
Analytical Mindset: Ability to conduct descriptive and diagnostic analytics to uncover trends, patterns, and root causes in complex data sets
Machine Learning Proficiency: Familiarity with machine learning tools and techniques to enhance data quality and automate data-driven improvements
Business Intelligence Skills: Experience creating clear, actionable reports and dashboards using BI technologies to communicate insights effectively
Data Profiling Expertise: Skill in assessing data tables and elements to identify quality issues, redundancies, and opportunities for optimization
Metadata & Catalog Management: Attention to detail in maintaining accurate data catalog entries and ensuring high-quality metadata for discoverability and governance
Data Quality & Cleansing Knowledge: Ability to identify and resolve data coherency and integrability issues and collaborate on developing effective cleansing rules and methods
Documentation & Process Discipline: Strong organizational skills to support the creation and maintenance of documentation for key decisions, rules, and processes
Cross-Functional Collaboration: Comfort working across teams to align data practices with business needs, ensuring data integrity and usability for decision-making
College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required
Preferred
Relevant experience preferred such as working in a temporary student employment, intern, co-op, or other extracurricular team activities
Minimum 2 years of experience preferred
Knowledge of the latest technologies and trends in data science is highly preferred and includes: SQL query language execution on NOSql and SQL sources, Exposure to Agile software development, Exposure to IoT technology, Data profiling tools, technologies and coding, Data Catalog tools and technologies, Business intelligence tools and technologies, Exposure to Big Data open source, Clustered compute cloud-based implementation experience
Company
Cummins Inc.
At Cummins, we empower everyone to grow their careers through meaningful work, building inclusive and equitable teams.
10001+ employees
H1B Sponsorship
Cummins Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (856)
2024 (804)
2023 (709)
2022 (923)
2021 (812)
2020 (707)
Funding
Current Stage
Late StageLeadership Team
M
Matt Rogers
Executive Director - International Tax
Recent News
Research and Markets
2025-04-11
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