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indeed

Data Analyst

University of Massachusetts Amherst
Amherst, USA
Full-time
Director
Onsite
Discovered 2 weeks ago
Financial reportingInventory asset management dashboardsPower BISQLExcelPivot Tables

Full Job Posting

Role overview

Reports to the Executive Financial Officer and Head of Facilities.

Develops and analyzes financial reporting tools and inventory asset management dashboards for IT operations and investment decisions.

Works with data and analytics professionals, product stakeholders, and leadership to turn data into analytic solutions.

Monitors data quality and performance, identifies gaps, validates data, and communicates KPIs, trends, and actionable insights.

Essential functions

  • Design, develop, maintain, and enhance interactive dashboards and data visualizations.
  • Analyze complex datasets to identify trends, patterns, anomalies, and opportunities; communicate actionable findings.
  • Acquire, integrate, and prepare data from multiple sources for reporting and analysis.
  • Perform data validation and quality assurance, investigate discrepancies, and collaborate to resolve data issues.
  • Maintain KPI calculations, business rules, and consistent reporting methodologies.
  • Automate data preparation, validation, and recurring reports where possible.
  • Work with Administration and Finance stakeholders to understand requirements and develop analytical solutions.
  • Prepare ad hoc analyses, reports, presentations, and summaries for managers and leadership.
  • Document data sources, calculations, business rules, reporting processes, and data issues and resolutions.
  • Test and validate data sources, models, system enhancements, and reporting solutions.
  • Support other related duties, special projects, and initiatives as assigned.

Minimum qualifications

  • Bachelor’s degree in finance or accounting and at least two years of business or financial analyst experience.
  • Experience with data visualization tools and enhancing and optimizing Power BI dashboards for budgeting and financial reporting.
  • Technical expertise in data models, database design and development, data mining, and segmentation techniques.
  • Strong proficiency in SQL, Excel (Pivot Tables, VLOOKUP, Power Query), Python, or R.
  • Knowledge of data governance, compliance, and reporting best practices.
  • Strong analytical and problem-solving skills, attention to detail, and accuracy; able to query, write reports, and present findings.

Preferred qualifications

  • Master’s degree in business analytics or a related field preferred.

Schedule

  • Full-time schedule, Monday through Friday, 8:30 a.m. to 5:00 p.m.
  • Schedule flexibility may be required for implementations, campus events, and project deadlines.

Work arrangement and conditions

  • Hybrid work arrangement; the description states that the position has the opportunity for a hybrid schedule.
  • Work is performed in a standard office or indoor university environment with minimal physical exertion.
  • Position is subject to final budgetary and administrative approval.

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