Business Intelligence & Data Analyst

Union Park Capital; Mount Prospect (IL); On-site; USD 70,000 - 90,000; Full time

Job summary

Union Park Capital is hiring a Data Analyst in Mount Prospect, Illinois, to support the company’s growth strategy by building data tools and dashboards. This role allows for direct visibility to the C-Suite, presenting an opportunity to impact performance meaningfully.

The ideal candidate should have a bachelor’s degree and 4+ years of experience in data analytics, with strong SQL and advanced Excel skills. Join a fast-paced environment focused on data-driven decision-making.

Qualifications

• 4+ years of experience in data analytics, business intelligence, or related role.
• Strong ability to communicate data-driven storylines to both technical and non-technical teams.
• Experience with complex formulas and large dataset handling.

Responsibilities

• Establish and maintain a single source of truth by consolidating data.
• Build insightful dashboards and reports for senior leadership.
• Analyze data to identify trends and business opportunities.
• Support automation of reporting and reduction of manual data processes.

Skills

SQL skills (T-SQL, querying, joins, filtering datasets)

Advanced Excel skills

Power BI or similar data visualization tools

Data analytics

Analytical and problem-solving skills

Education

Bachelor's degree in data analytics, business analytics, MIS, computer science, engineering, or related field

Tools

Power Query

Power Pivot

Job description

Our Values

GAM Can! That is our passion. The spirit of our entrepreneurial culture. We live and breathe our core values of Teamwork, being Action-oriented, building Long-term relationships, being Professional at what we do, and having Fun.

GAM is a portfolio company of Union Park Capital.

Overview

For more than 30 years, GAM Enterprises has built motion control components that advanced machines depend on when precision and engineering expertise is mission critical. From surgical robots in the operating room to robots in automated warehouses that move packages faster and more safely and to the assembly floor of aircraft manufacturers, GAM’s technologies make the world a safer and more productive place.

GAM is a fast-growing, entrepreneurial company, driven by a “GAM Can” attitude that values collaboration, customer focus and ownership that shows up in the quality of our work and is central to our purpose. We are a high-integrity team of people working across engineering, operations, and sales to wow our OEM machine building customers by solving their toughest engineering challenges.

The Data Analyst role is central to GAM's long term growth strategy. As the company scales through global acquisitions, you will build the data foundation, tools and dashboards that turn raw operational data from disparate sources into clear, data‑driven insight that drive decisions at the highest levels of the business. With direct visibility to the C‑Suite, you will be well positioned as a data‑driven storyteller to shape strategy and impact performance.

Responsibilities

• Establish and maintain a single source of truth by consolidating data from ERP, CRM, and manufacturing systems into clean, reliable, reportable datasets.
• Build insightful dashboards, reports, and KPI tools using Power BI and advanced Excel for senior and executive leadership.
• Clean, validate, and structure data to ensure accuracy, consistency, and reliability across systems.
• Extract and query data from ERP, CRM, and internal databases using SQL (T‑SQL / SSMS or similar).
• Translate business needs into structured data requirements and reporting outputs.
• Analyze data to identify trends, inefficiencies, and business opportunities.
• Partner with operations, engineering, sales, and leadership teams to support data‑driven decision‑making.
• Support automation of reporting and reduction of manual data processes.
• Lead exploration and adoption of AI tools to improve efficiency and insight generation.
• Act as internal liaison for outsourced IT support, including onboarding, access setup, and ticket coordination.

Qualifications

• Bachelor’s degree in data analytics, business analytics, MIS, computer science, engineering, or related field preferred.
• 4+ years of experience preferred in data analytics, business intelligence, or related role.
• Strong ability to communicate data‑driven story lines to technical and non‑technical teams.
• Strong SQL skills (T‑SQL, querying, joins, filtering datasets).
• Advanced Excel skills.
• Power Query (data extraction, transformation, ETL).
• Power Pivot (data modeling across multiple sources).
• Complex formulas and large dataset handling; experience with Power BI or similar data visualization tools.
• Strong analytical and problem‑solving skills with a curiosity‑driven mindset.
• Comfortable working in a fast‑paced, evolving, cross‑functional environment.