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Kpi Concepts Jobs (NOW HIRING)

Experience developing DAX calculations, measures, and business logic to support KPI reporting and analytics. * Understanding of scalable data modeling concepts, including star schema and dimensional ...

Experience developing DAX calculations, measures, and business logic to support KPI reporting and analytics. * Understanding of scalable data modeling concepts, including star schema and dimensional ...

Experience developing DAX calculations, measures, and business logic to support KPI reporting and analytics. * Understanding of scalable data modeling concepts, including star schema and dimensional ...

Experience developing DAX calculations, measures, and business logic to support KPI reporting and analytics. * Understanding of scalable data modeling concepts, including star schema and dimensional ...

Help prepare management reports and presentations. * Assist with KPI tracking and operational ... Basic SQL and reporting concepts * ERP and accounting systems familiarity

ERP Business Analyst

Richardson, TX · On-site

$90K - $108K/yr

ERP Business Analyst Process Analytics, Reporting & Dashboard Development Applied Concepts, Inc ... KPI definition & metric logic * Visualization best practices * Process owner engagement

Engineer

Pittsburgh, PA · On-site

$50K - $70K/yr

This role will focus on operational dashboards, usage insights, KPI reporting, adoption measurement ... Experience with Fabric or modern enterprise analytics/data platform concepts. * Ability to ...

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Kpi Concepts information

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$67

$79

$105

How much do kpi concepts jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for kpi concepts in the United States is $79.88, according to ZipRecruiter salary data. Most workers in this role earn between $73.08 and $81.49 per hour, depending on experience, location, and employer.

What is the difference between Kpi Concepts vs Data Analyst?

AspectKpi ConceptsData Analyst
Required CredentialsBusiness or related degree, certifications in KPI or performance managementDegree in statistics, data science, or related field, certifications in data analysis tools
Work EnvironmentBusiness teams, performance management departmentsData teams, analytics departments, cross-functional projects
Employer & Industry UsageUsed across industries for performance measurementUsed in tech, finance, marketing for data interpretation
Search & Comparison IntentUnderstanding KPI concepts and frameworksAnalyzing data to inform business decisions

While Kpi Concepts focus on understanding and applying key performance indicators within a business context, Data Analysts interpret data sets to support decision-making. Both roles are essential in performance management and data-driven strategies, but they differ in scope and skill set.

How do professionals working with KPI concepts typically collaborate with different departments to ensure effective performance tracking?

Professionals specializing in KPI concepts often work closely with various departments such as sales, marketing, finance, and operations to identify the most relevant metrics for each team's objectives. They facilitate workshops or meetings to align on strategic goals, ensure data consistency, and help teams interpret KPI results. This collaborative approach helps create a unified performance measurement system, encourages accountability, and fosters a culture of continuous improvement across the organization.

What are the key skills and qualifications needed to thrive as a KPI analyst, and why are they important?

To thrive as a KPI Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in business or a related field. Familiarity with business intelligence tools like Tableau, Power BI, and Excel, along with knowledge of data visualization and reporting systems, is typically required. Attention to detail, critical thinking, and effective communication are key soft skills for conveying insights and collaborating with stakeholders. These abilities are essential for measuring organizational performance accurately and driving data-informed decision-making.

What are KPI concepts?

KPI concepts refer to the key principles and ideas behind Key Performance Indicators (KPIs), which are measurable values that help organizations track their progress toward specific business objectives. Understanding KPI concepts involves knowing how to select relevant metrics, set achievable targets, and use data to monitor performance over time. KPIs are essential tools for decision-making, as they provide insights into the effectiveness of strategies and operations. Properly designed KPIs can drive organizational improvement and ensure that everyone is aligned with the company’s goals.
More about Kpi Concepts jobs
What states have the most Kpi Concepts jobs? States with the most job openings for Kpi Concepts jobs include:
Infographic showing various Kpi Concepts job openings in the United States as of August 2026, with employment types broken down into 71% Full Time, 26% Part Time, and 3% Contract. Highlights an 65% Physical, 2% Hybrid, and 33% Remote job distribution, with an average salary of $166,142 per year, or $79.9 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


Job description

Description

About Us:

Panelmatic, Inc. was founded in 1957 in Youngstown, OH to serve manufacturing industries with the design and build of custom electrical, instrument, and pneumatic control panels. Our business has sufficiently grown over the years to support expansion for our clients. We have produced control packages for many of America's top corporations in the data center, chemical, food & beverage, pulp & paper, material handling, oil & gas, pharmaceutical, renewables, metals, and utility markets. We also deliver equipment for use worldwide. Our rigorous methodology ensures compliance with domestic and international standards. We can meet the needs of our diverse clientele from start to finish through sales, design, fabrication, testing, and delivery.

Since 1957, we have been known for our high-quality, control packages, our comprehensive service, and our technological and manufacturing expertise. This expertise assures you of our ability to handle the largest and most complex packages quickly and efficiently.

Job Summary:

The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational performance visibility, enabling real-time insight into revenue, backlog, margin, labor utilization, and project execution metrics.

This role partners closely with Finance, Operations, Sales, and project teams to define metrics, standardize reporting, build dashboards, and surface actionable insights that improve execution and business performance.

Job Duties:

  • Design and develop interactive dashboards, scorecards, and enterprise reports in Microsoft Power BI to provide visibility into revenue, backlog, margin, labor utilization, and project execution metrics.
  • Build and optimize semantic models, datasets, and scalable data models using star schema and dimensional modeling techniques.
  • Develop advanced calculations, measures, and business logic using DAX to support standardized KPI reporting and decision-making.
  • Implement and support Microsoft Fabric solutions, including Lakehouse architectures, data pipelines, and cloud-based enterprise reporting capabilities.
  • Create and maintain data transformation workflows using Power Query, SQL, and Fabric pipelines to integrate and prepare data from ERP, MES, CRM, financial, operational, and manufacturing systems.
  • Collaborate with Finance, Operations, Sales, and other business stakeholders to define KPIs, metrics, reporting requirements, and governance standards.
  • Establish and maintain reporting governance, data quality standards, documentation, security models, row-level security, and data access controls.
  • Monitor report performance, optimize query efficiency, and troubleshoot reporting, refresh, and data integration issues.
  • Support self-service BI initiatives through user enablement, training, and scalable reporting solutions that reduce manual effort and improve adoption.
  • Assist with enterprise data strategy, analytics modernization, and broader cloud data initiatives to improve operational and financial insight across the business.

Requirements

Minimum Qualifications:

  • Bachelor’s degree in Business Analytics, Data Analytics, Information Systems, Computer Science, Finance, or a related field; equivalent experience considered.
  • 3+ years of experience in business intelligence, data analysis, enterprise reporting, or operational analytics.
  • Advanced proficiency in Microsoft Power BI, including dashboard development, semantic models, and enterprise reporting solutions.
  • Strong SQL skills and experience with Power Query for data extraction, transformation, and preparation.
  • Experience developing DAX calculations, measures, and business logic to support KPI reporting and analytics.
  • Understanding of scalable data modeling concepts, including star schema and dimensional modeling techniques.
  • Utilize AI/ML techniques and generative AI tools to enhance analytics and automate processes.
  • Experience integrating and validating data from ERP, MES, CRM, financial, operational, or manufacturing systems.
  • Working knowledge of Microsoft Fabric, data pipelines, Lakehouse concepts, or other modern cloud data platforms.
  • Strong analytical, problem-solving, communication, and stakeholder management skills.
  • Ability to manage multiple priorities in a fast-paced environment while maintaining accuracy and attention to detail.

Preferred Qualifications:

  • Experience building executive dashboards and operational scorecards in a manufacturing, project-based, or industrial environment.
  • Familiarity with manufacturing, supply chain, operations, finance, and sales analytics.
  • Working knowledge of DAX, Power Query, Python, or other data transformation and analytics tools.
  • Experience with Infor CloudSuite Industrial (CSI v10 multi-tenant cloud environment preferred).
  • Familiarity with KPI governance, master data management, and data quality best practices.
  • Experience with statistical analysis, forecasting, trend analysis, and predictive modeling.

Benefits

  • Medical, dental, vision, HSA, term life, AD&D, STD, LTD
  • 100% medical premium paid for by Panelmatic for the employee-only level medical coverage
  • 80% paid for by Panelmatic and 20% paid for by the employee on all other level medical coverage (i.e. employee plus child, employee plus spouse, family)
  • 401(k) contributions matched 100% up to 4%
  • Scholarships, educational reimbursement, paid volunteerism, and paid personal and professional development provided
  • PTO and paid holidays provided
  • Career advancement opportunities
  • Competitive wages
  • Family-friendly environment with average employee tenure above five years