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Data / Research Analyst
The Data / Research Analyst is responsible for gathering, cleaning, analyzing, and interpreting large datasets to generate actionable insights that drive strategic decision-making throughout the organization. This role bridges the gap between raw data and meaningful business outcomes, ensuring data integrity while applying statistical and analytical techniques. The ideal candidate leverages advanced analytical tools and methodologies to uncover trends, identify opportunities, and support research initiatives that influence product development, market strategies, and operational efficiency.
Class Code:
PDA01P
Job Grade:
SGS07
Special Job Requirements:
Typical Functions:
Identify and source both internal and external datasets relevant to business objectives. Develop protocols for data acquisition, cleaning, and validation to maintain high data quality and consistency. Use statistical tools and programming languages (such as Python, R, or Structured Query Language) to analyze datasets and identify significant trends, correlations, and anomalies. Conduct exploratory data analysis, hypothesis testing, and regression analysis to model relationships and predict future outcomes. Synthesize complex data findings into clear, concise reports and dashboards using data visualization tools like Tableau, Power Business Intelligence, or similar software. Present findings in a manner that supports informed decision-making and strategic planning. Collaborate with cross-functional teams-including marketing, product development, and operations-to define research objectives and methodologies. Provide consultative support for strategic projects by integrating data insights into business recommendations. Stay current with the latest trends and best practices in data analysis, machine learning, and statistical methodologies. Recommend and implement process improvements, ensuring that research practices evolve with the agency’s needs. Ensure all research activities comply with data governance policies and industry regulations. Maintain thorough documentation of methodologies, data sources, analytical processes, and outcomes.
Knowledge, Abilities, and Skills:
Solid programming skills in languages such as Python, R, or Structured Query Language. Familiarity with data visualization tools (e.g., Tableau, Power Business Intelligence) and statistical analysis software. Strong aptitude for quantitative analysis and identifying actionable insights from complex datasets. Ability to approach problems methodically and use data-driven reasoning to support solutions. Excellent written and verbal communication skills to effectively share technical insights with non-technical personnel. Proven ability to translate complex data findings into clear and persuasive narratives. Meticulous in verifying and validating data to ensure accuracy and reliability. A critical thinking mindset that questions assumptions and consistently seeks improvement. Ability to work well within multi-disciplinary teams and adapt to evolving project requirements.
Minimum Qualifications:
Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, Mathematics, or a related field. Minimum of 4 years of progressively responsible experience in data analysis, research, or quantitative analysis. Experience working with statistical software, data visualization tools, and database management systems is highly advantageous. Satisfaction of the minimum qualifications, including years of experience and service, does not entitle employees to automatic progression within the job series. Promotion to the next classification level is at the discretion of the department and the Office of Personnel Management, taking into consideration the employee’s demonstrated skills, competencies, performance, workload responsibilities, and organizational needs.
Required Certificates:
N/A OTHER JOB RELATED EDUCATION AND/OR EXPERIENCE MAY BE SUBSTITUTED FOR ALL OR PART OF THESE BASIC REQUIREMENTS, EXCEPT FOR CERTIFICATION OR LICENSURE REQUIREMENTS, UPON APPROVAL OF THE QUALIFICATIONS REVIEW COMMITTEE.
Exempt:
N