Data Analytics Specialist

Overview

We are seeking a detail-oriented and solutions-driven Data Analytics Specialist to join our team. Under managerial direction, you will lead data integration and advanced analysis projects to uncover insights that directly influence strategic decisions and help us meet our agency’s goals and objectives. You will work closely with business leaders, IT professionals, and subject matter experts to identify complex problems and drive data-informed decisions through powerful analytics, visualizations, and predictive models.

• Data Integration & Access
  • Integrate data from multiple systems and sources (e.g., internal databases, shared data lakes, purchased datasets)
  • Extract and prepare data using tools such as report generators, data query tools, and versioning systems
  • Coordinate with IT and business teams to ensure data accuracy, completeness, and relevance
• Analytics & Insights
  • Apply statistical and machine learning techniques (e.g., regression, clustering, classification) to identify patterns, trends, and relationships
  • Develop and operationalize predictive models and algorithms
  • Visualize complex data in accessible formats for non-technical audiences
• Strategic Decision Support
  • Translate analytical findings into actionable business recommendations
  • Present insights and proposals to agency leadership and stakeholders
  • Guide program evaluations, resource allocation decisions, fraud detection strategies, and more
• Collaboration & Communication
  • Partner with business leaders to define priorities, metrics, and success criteria
  • Participate in code reviews, user acceptance testing, and deployment discussions with IT staff
  • Provide training and support to business staff on analytical tools and methodologies
• Process Improvement & Documentation
  • Establish performance metrics and monitor progress toward goals
  • Document best practices and maintain records of projects and data models
  • Stay current with analytics trends, tools, and industry best practices
• General Duties
  • Attend meetings, trainings, and conferences as needed
  • Produce reports, data analysis, correspondence, and documentation
  • Perform additional tasks as assigned by the team lead or manager

Unless required by legislation or union contract, starting salary will be step 1 of the salary range associated with this position. New hires advance to the next step in the range after 6 months and annually thereafter. Based on collective bargaining and legislative activity, there may be cost of living increases awarded annually. Additional longevity supplements begin after 5 years. The current wage progression for this position is in the table below.

At Hire, 6 months, 18 months, 30 months, 42 months, 54 Months, 66 Months, 78 Months, 90 Months

Step 1, Step 2, Step 3, Step 4, Step 5, Step 6, Step 7, Step 8, Step 9, OCSEA 33

Hourly

$33.52, $35.15, $36.90, $38.70, $40.59, $42.62, $44.66, $46.87, $49.18

Annual

$69,722.00, $73,112.00, $76,752.00, $80,496.00, $84,427.00, $88,650.00, $92,893.00, $97,490.00, $

The final candidate selected for the position will be required to undergo a criminal background check. Criminal convictions do not necessarily preclude an applicant from consideration for a position. An individual assessment of an applicant's prior criminal convictions will be made before excluding an applicant from consideration.

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48 mos. exp. in data analytics or statistical analysis or research methods. Or completion of associate core program in data analytics, applied mathematics, statistics, industrial/systems engineering, or related field; 30 mos. exp. in data analytics, statistical analysis, or research methods. Or completion of undergraduate core program in data analytics, applied mathematics, statistics, industrial/systems engineering, or related field; 24 mos. exp. in data analytics, statistical analysis, or research methods.

Or completion of graduate core program in data analytics, applied mathematics, statistics, industrial/systems engineering, or related field; 12 mos. exp. in data analytics, statistical analysis, or research methods. Or 36 mos. exp as a Data Analytics Associate, 66930. Or equivalent of Minimum Class Qualifications For Employment noted above.

Preferred Qualification - 24 months experience analyzing data related to children services, publicly funded child care, or other social services program