Bachelor’s degree in Computer Science, Information Technology, or a related field., 1-4 years of work experience in data analytics or related fields., Strong knowledge of Power BI and experience in building interactive dashboards., Proficiency in SQL and hands-on experience with Python for data processing..
Key responsabilities:
Design and develop interactive dashboards and reports using Power BI.
Assist in building and maintaining ETL pipelines for data extraction and transformation.
Work closely with senior analysts to gather requirements and translate them into technical solutions.
Document processes and provide data-driven insights to support cross-functional teams.
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At Cummins, we empower everyone to grow their careers through meaningful work, building inclusive and equitable teams, coaching, development and opportunities to make a difference. Across our entire organization, you'll find engineers, developers, and technicians who are innovating, designing, testing, and building. You'll also find accountants, marketers, as well as manufacturing, quality and supply chain specialists who are working with technology that's just as innovative and advanced.
From your first day at Cummins, we’re focused on understanding your talents, current skills and future goals – and creating a plan to get you there. Your journey begins with planning your development and connecting to diverse experiences designed to spur innovation. From our internships to our senior leadership roles, we attract, hire and reward the best and brightest from around the world and look to them for new ideas and fresh perspectives. Learn more about #LifeAtCummins at cummins.com/careers.
The Analytics Analyst - Quality serves as the operational arm of data analytics, supporting data governance decisions, maintaining data quality documentation, and training end users on analytics solutions. The role involves facilitating data governance processes, integrating data sources, cleansing data, supporting analytics projects, and enforcing data collection standards. The analyst also assists stakeholders in accessing relevant data and participates in communities of practice to promote responsible analytics use.
Key Responsibilities
Data Analytics & Visualization
Design and develop interactive dashboards and reports using Power BI to provide actionable insights.
Create and optimize data models to ensure efficient data visualization and performance.
Apply statistical techniques to analyze business data and identify key trends and patterns.
Data Modeling & ETL
Assist in building and maintaining ETL pipelines to extract, transform, and load data from multiple sources.
Develop and manage relational data models to support analytics and reporting requirements.
Write and optimize SQL queries for data processing and validation.
Python for Data Automation & Analysis
Implement Python scripts for data processing, automation, and basic analytics tasks.
Utilize Python to clean, transform, and analyze data for enhanced decision-making.
Application Development & Automation
Develop and automate business processes using Power Apps to enhance operational efficiency.
Integrate Power Apps with Power BI, SharePoint, and other enterprise systems to streamline workflows.
Assist in maintaining and optimizing existing Power Apps, PowerBI solutions.
Collaboration & Support
Work closely with senior analysts and business teams to gather requirements and translate them into technical solutions.
Support cross-functional teams by providing data-driven insights and reports.
Document processes, models, and technical solutions for knowledge sharing and maintenance.
Responsibilities
Required Skills & Qualifications:
Technical Skills
Strong knowledge of Power BI with experience in building interactive dashboards and reports.
Understanding of data modeling concepts and experience in designing relational models.
Basic knowledge of statistics and the ability to apply statistical techniques to business data.
Proficiency in SQL for querying, data extraction, and transformation.
Hands-on experience with Python for data processing and automation.
Familiarity with Power Apps for application development and workflow automation is a plus.
Soft Skills
Strong analytical and problem-solving skills.
Good communication and collaboration abilities.
Eagerness to learn and adapt to new technologies and challenges.
Ability to work effectively in a team environment.
Competencies
Collaborates – Building partnerships and working collaboratively with others to meet shared objectives.
Communicates effectively – Developing and delivering multi-mode communications tailored to different audiences.
Customer focus – Building strong customer relationships and delivering customer-centric solutions.
Interpersonal savvy – Relating openly and comfortably with diverse groups of people.
Data Analytics – Interpreting and communicating qualitative and quantitative data for business insights.
Data Mining – Identifying patterns and relationships in data to support model building.
Data Modeling – Writing and testing data models, scripts, and automation to meet business requirements.
Data Communication and Visualization – Illustrating business problems, root causes, and solutions through reports and dashboards.
Data Literacy – Understanding data sources, analytical methods, and applied techniques.
Data Profiling – Assessing data issues and cleansing requirements for quality improvement.
Data Quality – Ensuring accuracy, integrity, and governance across business processes and decision-making.
Values differences – Recognizing and leveraging diverse perspectives and cultures within the organization.
Education, Licenses, Certifications
College, university, or equivalent degree in a relevant technical discipline.
This position may require licensing for compliance with export controls or sanctions regulations.
Experience
Minimal relevant work experience required.
1-4 years of experience preferred.
Qualifications
Qualifications:
Bachelor’s degree in Computer Science, Information Technology, or a related field.
1-4 years of work experience.
Experience with large datasets and understanding of data structures.
Exposure to manufacturing analytics or related industries is an advantage.
Job Quality
Organization Cummins Inc.
Role Category Remote
Job Type Exempt - Experienced
ReqID 2412989
Relocation Package No
Required profile
Experience
Spoken language(s):
English
Check out the description to know which languages are mandatory.