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Business Data Analyst

Job in St. Albans, Saint Albans, Franklin County, Vermont, 05478, USA
Listing for: Simmonds Precision Products
Full Time position
Listed on 2026-10-17
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence
Salary/Wage Range or Industry Benchmark: 75000 - 110000 USD Yearly USD 75000.00 110000.00 YEAR
Job Description & How to Apply Below
Location: St. Albans

The Business Data Analyst bridges finance and business intelligence, turning data from the ERP and surrounding systems into reporting, analysis, and insight that leadership uses to run the business. This role is financial with a heavy focus on information technology skills: building and maintaining reports and dashboards, writing the SQL behind them, and then applying accounting and operational judgment to explain what the numbers actually mean.

Key Responsibilities Business Intelligence & Reporting
  • Design, build, and maintain production reports and dashboards in Power BI or Infor Birst, from data source through to published visualization.
  • Write, optimize, and troubleshoot SQL against ERP tables, views, and reporting databases, including joins, aggregations, CTEs, and window functions.
  • Develop and maintain data models, calculated measures, and a documented data dictionary so that metric definitions are consistent across the business.
  • Manage report governance: refresh schedules, access and row-level security, version control, and retirement of redundant or manual reporting.
  • Analyze manufacturing cost performance including direct labor, material, overhead absorption, purchase price variance, scrap, rework, and yield.
  • Support standard cost development, annual cost rolls, and review of BOM, routing, and rate data for accuracy and reasonableness.
  • Perform margin analysis by program, product line, customer, and part number, and explain drivers behind period-over-period movement.
  • Build variance analysis that bridges actual to standard, plan, and forecast in a way operating leaders can act on.
  • Provide analytics supporting inventory valuation, excess and obsolete reserves, cycle count accuracy, and inventory turns.
Business Analysis & Decision Support
  • Conduct ad hoc analysis supporting pricing, make-versus-buy, capacity planning, capital investment, and cost reduction initiatives.
  • Identify trends and anomalies in operational and financial data, investigate root cause, and quantify the financial impact of the opportunity or risk.
  • Build and maintain advanced Excel models using pivot tables, Power Query, Power Pivot, and scenario analysis to support planning and business cases.
  • Develop and track key performance indicators with operating leaders, ensuring measures tie back to reported financial results.
Data Integrity & Systems
  • Partner with IT and ERP resources on data structures, master data quality, and system enhancements affecting reporting.
  • Reconcile and validate business intelligence outputs to the general ledger and ERP source data before results are published.
  • Document data lineage, business rules, and report logic so reporting is supportable and not dependent on a single individual.
Communication & Partnership
  • Present analysis to site and business unit leadership in a clear, concise format that leads with the conclusion and supports it with evidence.
  • Work cross-functionally with operations, supply chain, quality, engineering, and program management to understand the processes behind the data.
  • Exercise appropriate judgment and discretion with confidential financial, customer, and employee data.
Required Qualifications
  • Bachelor’s degree in Finance, Accounting, Business Analytics, Information Systems, Data Science, or a related field.
  • 3–5 years of experience in financial analysis, business intelligence, or data analytics, preferably in a manufacturing environment.
  • Demonstrated experience building and maintaining production reports and dashboards in Power BI, Infor Birst, or a comparable enterprise BI platform.
  • Proficiency writing and tuning SQL to extract and transform data from relational databases.
  • Advanced Microsoft Excel skills, including complex formulas, pivot tables, Power Query, and financial modeling.
  • Experie…
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