Analytics Analyst - Quality
Cummins Turbo Technologies
DESCRIPTION
The Analytics Analyst – Quality serves as the operational arm of Data Analytics for the assigned domain. This role supports the implementation of data governance decisions, maintains data quality documentation, and enables responsible analytics adoption across the business. The incumbent collaborates with cross-functional teams to integrate, cleanse, model, and analyze data to generate actionable insights, while coaching end users to effectively leverage analytics solutions.
Key Responsibilities
Support data, compliance, and environmental governance processes within the assigned domain.
Facilitate and manage analytics intake processes to reduce rework and promote reuse of solutions.
Collaborate with peers to integrate data from data warehouses, data lakes, and other source systems to build relevant business models.
Cleanse and validate data to ensure report accuracy, reduce duplication, and maintain documentation of cleansing processes.
Develop reports, dashboards, and analytical solutions using business intelligence tools and other appropriate technologies.
Support analytics projects to generate insights that improve business decision-making.
Assist in establishing and enforcing data collection, integration, and governance standards.
Support ingestion of key domain data into the data lake, ensuring creation and maintenance of metadata and data profiles.
Perform data profiling to identify data quality issues and implement corrective measures.
Assist stakeholders in identifying and accessing relevant and reliable data.
Participate in communities of practice to promote responsible analytics usage.
Coach and train business users in navigating and utilizing the analytics ecosystem.
Prepare analytical summaries and communications for leaders and stakeholders.
cal methods to analyze trends and validate insights.
RESPONSIBILITIES
Skills & Competencies
Core Competencies
Collaborates: Builds strong partnerships and works effectively across teams.
Communicates Effectively: Delivers clear, audience-appropriate communications.
Customer Focus: Develops strong customer relationships and delivers customer-centric solutions.
Interpersonal Savvy: Engages openly with diverse stakeholders.
Values Differences: Respects and leverages diverse perspectives.
Technical Competencies
Data Analytics & Mining
Discover, interpret, and communicate qualitative and quantitative insights.
Apply statistics, visualization, and problem-solving techniques to extract meaningful patterns.
Data Modeling & Engineering
Design, develop, test, and maintain data models and scripts using industry-standard tools.
Ensure compliance with business, technical, security, and governance standards.
Support ETL processes for data extraction, transformation, and loading.
Data Communication & Visualization
Develop interactive dashboards and reports (e.g., Power BI).
Apply DAX functions and optimize performance and refresh schedules.
Construct compelling visual narratives to explain business problems and solutions.
Data Quality & Profiling
Assess, profile, and improve data quality across operational processes.
Ensure data integrity, completeness, reliability, granularity, and security.
Programming & Automation
Utilize Python (Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn) for data manipulation, automation, EDA, and machine learning.
Develop scripts for data preparation, cleansing, and workflow automation.
Knowledge of LLMs, NLP, and Generative AI concepts is preferred.
SQL & Database Management
Write and optimize complex SQL queries, stored procedures, and views.
Perform SQL performance tuning.
Statistical Analysis
- Conduct hypothesis testing and apply statistical methods to analyze trends and validate insights.
Experience
Minimal to 3+ years of relevant experience in analytics, business intelligence, or data engineering roles.
3–5 years of hands-on experience with Python, SQL, Power BI, ETL processes, and cloud platforms.
Demonstrated experience supporting analytics governance, data lake ingestion, and business stakeholder engagement.
Experience documenting data models, report structures, and supporting end-user training.
Skills & Experience Summary
Strong analytical and problem-solving abilities.
Hands-on experience with data visualization and BI tools (Power BI preferred).
Working knowledge of cloud-based data ecosystems.
Strong documentation, collaboration, and stakeholder management skills.
Ability to translate business requirements into technical analytics solutions.
QUALIFICATIONS
Qualifications
Education
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical discipline.
Equivalent relevant experience may be considered.
This role may require licensing for compliance with export controls or sanctions regulations.
100% On-Site No
As Cummins continues to grow, you'll be provided with continuous learning opportunities, supportive benefits and a culture that values your wellbeing, safety and work-life balance. Here, you'll have the power to determine your future with innovative technology, a focus on sustainability and with a company positioned for long-term growth.