Key Responsibilities
Provide guidance on data management best practices, data architecture, and process optimization to enhance overall data integrity
Investigate data process & quality issues across individual, departmental, and end-to-end process levels in partnership with product managers, developers, and business analysts to determine root causes and implement sustainable solutions
Partner with business analysts and training teams to ensure documentation, standard operating procedures, and training materials effectively address root cause issues
Test, validate, and execute data corrections while maintaining high standards of accuracy, consistency, and auditability
Audit and validate data following system migrations or updates to ensure integrity, completeness, and reliability
Define and establish key performance indicators (KPIs) to measure and monitor data quality and confidence across people, processes, and systems
Design, develop, and maintain dashboards and reports (e.g., ERP, Power BI) to track KPIs and enable data-driven decision-making
Drive improvements in enterprise-wide data confidence and readiness to support advanced analytics and AI initiatives
Additional Responsibilities
Act as a strategic analytics partner to operations and technology teams, solving real-world business challenges
Extract and query data from ERP systems and internal sources to answer key business questions
Analyze performance trends (e.g., on-time delivery, scrap rates, order throughput, pricing performance)
Communicate insights clearly to non-technical stakeholders through effective data storytelling
Dedicate time (approximately 20%) to exploring emerging technologies, including AI and advanced analytics
Proactively investigate ambiguous or undefined problem areas and recommend solutions
Support and contribute to data governance frameworks, including standards, policies, and documentation
Work onsite daily to collaborate closely with team members
Travel as needed, up to 10% of their time
Qualifications & Experience
2+ years of experience in data analytics, business analytics, or a related field
Bachelors degree (or equivalent experience) in a quantitative discipline (e.g., Business, Statistics, Engineering, Computer Science)
Core Competencies
Strong analytical thinking and problem-solving skills, with the ability to translate data into actionable insights
Experience performing large-scale data analysis to support business decisions
Ability to bridge technical and business perspectives to solve complex problems
Strong attention to detail and commitment to data accuracy and quality
Effective communicator who can explain complex data concepts to diverse audiences
Comfortable working with real-world, imperfect data and asking clarifying questions when needed
Self-starter with a proactive, seek to understand mindset
Technical Skills
Experience or willingness to build proficiency in:
o SQL
o Data visualization tools (Power BI, Tableau, or similar)
Familiarity with ERP systems and enterprise data environments is strongly preferred
Preferred Qualifications
Experience in manufacturing, industrial, or supply chain environments
Exposure to ERP platforms (SAP, Oracle, Epicor, or similar)
Basic experience with Python or R for data manipulation, automation, or analysis
Interest in AI, predictive analytics, and data modeling (hands-on experience is a plus)
