Business Intelligence & Data Analyst

Union Park Capital

$70K — $95K *
Business Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Data Analytics, Business Analytics, MIS, Computer Science, Engineering, or related field preferred
  • 4+ years of experience in data analytics or business intelligence
  • Strong communication skills for presenting data insights to diverse teams
  • Proficient in SQL, including T-SQL and complex queries
  • Advanced Excel skills including Power Query and Power Pivot
  • Strong analytical and problem-solving skills with curiosity-driven mindset
  • Ability to thrive in a fast-paced, evolving environment

Responsibilities

  • Establish and maintain a consolidated data source from various systems
  • Build dashboards and reports for senior leadership using Power BI and Excel
  • Ensure data accuracy and reliability across platforms
  • Extract and query data using SQL from multiple databases
  • Translate business needs into structured data requirements
  • Analyze data for trends, inefficiencies, and opportunities
  • Support automation and reduction of manual data processes
  • Explore and adopt AI tools for improved efficiency and insights

Benefits

  • Collaborative work environment promoting a 'GAM Can' attitude
  • Direct interaction with C-Suite leadership
  • Opportunities for professional growth in a fast-growing company
  • Involvement in innovative projects such as AI tool adoption
  • Supportive company culture focusing on customer satisfaction and ownership
Full Job Description
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

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