Research Analyst

Central New Mexico Community CollegeAlbuquerque, NM

About The Position

The Research Analyst, operating within the Office of Data Strategy (ODS), holds a critical position as a pivotal member of the ODSOPIE team. The Research Analyst is entrusted with delivering accurate, reliable data, enriched insights through analytics, and comprehensive reporting to bolster planning, policy-making, institutional accountability, and operational efficiency. This position is responsible for collecting, analyzing, and interpreting data to support decision-making and provide insights for various projects and initiatives. The analyst conducts research using a variety of methods, such as surveys, interviews, and data analysis, to gather relevant information and present findings in a clear and concise manner.

Requirements

  • Bachelor’s degree AND One (1) year of professional experience with data collection, analysis, reporting, and database use

Nice To Haves

  • Ability to collaborate effectively with diverse stakeholders to understand information needs that support evidence-based decision making.
  • Strong organizational and project management skills, including the ability to manage multiple priorities and meet deadlines.
  • Experience working with large datasets and multiple information sources.
  • Strong quantitative and qualitative analysis skills with the ability to demonstrate statistical knowledge.
  • Experience developing reports, dashboards, presentations, or other data-informed decision-support resources.
  • Ability to synthesize findings and communicate results clearly to both technical and non-technical audiences.
  • Demonstrated attention to detail and accuracy in data analysis and reporting.
  • Ability to ensure data accuracy, integrity, and confidentiality while managing sensitive information.
  • Strong analytical and critical thinking skills, with the ability to identify patterns, trends, and meaningful insights from complex datasets.
  • Knowledge of research design, survey development, data collection methods, and statistical analysis techniques.
  • Ability to learn new analytical tools, technologies, and methodologies as organizational needs evolve.
  • Experience using PowerBI, SQL, Python, SAS Enterprise Guide, and/or SAS Viya is a plus.

Responsibilities

  • Supports institutional decision-making by developing, analyzing, and delivering data and insights in alignment with enterprise data strategy, governance, and reporting standards.
  • Works closely with departments and data teams to ensure accurate, consistent, and actionable use of data.
  • Develops and delivers recurring and ad hoc reports to support both operational and strategic needs.
  • Ensures outputs are timely, relevant, and aligned with institutional priorities.
  • Supports federal, state, and institutional reporting requirements by preparing accurate and timely data submissions.
  • Follows established processes and documentation to ensure consistency and audit readiness.
  • Conducts data analysis to identify trends, patterns, and insights related to student success, enrollment, and operational performance.
  • Translates findings into clear outputs that can inform decision-making.
  • Partners with departments to understand business needs and translate them into structured data requests, reports, and analytical outputs.
  • Helps refine questions and ensure requests align with available data and definitions.
  • Validates and ensures data accuracy by applying established definitions, standards, and quality checks.
  • Works within governance frameworks to maintain consistency and trust in data.
  • Builds and maintains dashboards and reports that provide consistent, reliable access to key metrics.
  • Ensures outputs are user-friendly and aligned with enterprise reporting standards.
  • Assists in integrating and preparing data from multiple sources for analysis and reporting, following defined data architecture and integration practices.
  • Documents methodologies, definitions, and processes to support consistency, transparency, and repeatability of work.
  • Communicates findings clearly to stakeholders at varying levels, supporting informed decision-making across the institution.
  • Collaborates with analytics, governance, and architecture teams to ensure work aligns with enterprise data strategy, standards, and priorities.
  • Performs other related duties as assigned.
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