Data Analyst

Taco Family of Companies•Cranston, RI
•Hybrid

About The Position

The Data Analyst supports manufacturing operations by transforming data into actionable business insights. The position partners with Operations, Supply Chain, Production, Quality, Engineering, Finance, and Leadership to develop reporting solutions, analyze key performance metrics, and identify opportunities for continuous improvement. Success includes delivering accurate and timely reports, improving visibility into manufacturing performance through dashboards, identifying opportunities to reduce costs and improve productivity, automating and standardizing reporting, and providing reliable data for business decisions. The role works primarily in an office environment using computers and technology, with occasional exposure to production areas where large equipment and noise are present. Safety gear is required in those areas. The position may be performed from home up to twice per week when performance is in good standing. It has no direct reports.

Requirements

  • Bachelor's degree in Business Analytics, Information Systems, or Computer Science.
  • 3–5 years of experience as a Data Analyst, Business Analyst, or in a 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.

Responsibilities

  • 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.

Benefits

  • Tuition reimbursement
  • Career development
  • On-site training programs in the learning center
  • Profit sharing
  • Competitive salaries and benefits
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