Data Analyst
- Hiring from
- United States
- Work type
- Hybrid
- Posted
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We feel a special obligation to the employees who comprise our Taco family. We are committed to offering employees access to the tools necessary to live long and productive lives. We strive to instill in all of our employees:
- A positive mental attitude that helps us to be a leader in the industry
- A commitment to building strong relationships, both inside and outside the organization
- A desire to learn, grow, and contribute to moving our strategy forward
- A need to create and to innovate
Employment Type: Regular Full-Time
Shift: 1st Shift
Work Status: Hybrid
Position Summary:
The Data Analyst will support our manufacturing operations by transforming data into actionable business insights. This position will partner with Operations, Supply Chain, Production, Quality, Engineering, Finance, and Leadership to develop reporting solutions, analyze key performance metrics, and identify opportunities for continuous improvement.
Measures of success:
- Delivering accurate, timely, and meaningful operational reports.
- Improving visibility into manufacturing performance through intuitive dashboards.
- Identifying trends and opportunities that reduce costs and improve productivity.
- Increasing reporting efficiency through automation and standardized reporting.
- Providing reliable data that supports informed business decisions across the organization.
Responsibilities:
Responsibilities include but are not limited to:
- Develop, maintain, and enhance Power BI dashboards and reports that provide visibility into manufacturing operations and business performance.
- Write, optimize, and troubleshoot complex SQL queries to extract and analyze data from ERP systems, manufacturing databases, and other business applications.
- Collaborate with business stakeholders to understand reporting needs and translate business requirements into scalable reporting solutions.
- Create automated reporting solutions that reduce manual reporting efforts.
- Ensure data accuracy by validating data sources and identifying inconsistencies.
- Support continuous improvement initiatives by providing data analysis for Lean Manufacturing and Six Sigma projects.
- Document reporting processes, data definitions, and dashboard standards. Assist with ad hoc reporting and analysis to support operational and strategic decision-making.
Qualifications
Required:
- Bachelor's degree in Business Analytics, Information Systems, Computer Science.
- 3–5 years of experience as a Data Analyst, Business Analyst, or similar analytical role.
- Advanced SQL skills, including joins, CTEs, window functions, stored procedures, and query optimization.
- Strong experience developing interactive dashboards using Microsoft Power BI.
- Experience working with ERP systems in a manufacturing environment.
- Strong understanding of relational databases and data modeling.
- Advanced Microsoft Excel skills.
- Excellent analytical, organizational, and communication skills.
- Ability to manage multiple projects and meet deadlines.
Work Environment
This position works primarily in an office environment using computer and technology. Verbal and auditory capability are required. Occasional exposure in production plant where large equipment and noise are prevalent. Safety gear is required in these areas.
This position may work from home up to 2X/week if performance is in good standing.
This position has no direct reports.
Benefits
With nearly 1,000 people working at Taco worldwide, each with their own story, you will discover a sense of community and diverse, intelligent colleagues who help us innovate, create and explore.
Taco employees benefit from a company that:
- Provides competitive salaries and benefits
- Offers tuition reimbursement, career development, and on-site training programs in our learning center
- Believes in sharing profits with its employees
- Is mindful about family, health and well-being
- Fosters conditions that allow people and communities to reach their full potential
- Embraces and celebrates diversity
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