About The Position

This position serves as the Deputy Chief Data Officer in the Office of the Secretary and is primarily responsible for leading and supporting data analytics projects, user training, stakeholder engagement and collaboration, and process review and improvement across the Department’s data catalog.

Requirements

  • Knowledge of basic management principles and practices
  • Ability to utilize problem-solving techniques
  • Ability to understand and apply applicable rules, regulations, policies and procedures
  • Ability to plan, organize and coordinate work assignments and self-motivate to achieve maximum performance
  • Ability to communicate effectively
  • Ability to establish an efficient and effective system of data collection and analysis
  • Ability to establish and maintain effective working relationships with others
  • Ability to work on projects independently and collaboratively with others
  • Receptive to constructive feedback and input from colleagues
  • Effective at training others on how to use and implement data systems.
  • Working knowledge of Structured Query Language (SQL)
  • Knowledge of the principles and best practices of Data Visualization
  • Knowledge of Alteryx, R, Python or other ETL/data prep tools
  • Knowledge of Tableau, PowerBI, Qlik, or other Business Intelligence (BI) tools
  • Knowledge of Microsoft Excel
  • Knowledge of MS SQL Server, Postgres, Oracle, Snowflake, or other Relational Database Management Systems (RDBMS) and or Data Warehouses
  • Knowledge of the methods of data collection, analysis, and storage.
  • 3+ years of demonstrated experience leading a Data Analytics/Science, Reporting, Engineering, or other similar Data teams.
  • 3+ years of demonstrated experience working with Business Intelligence (BI) tools, including, Tableau, PowerBI, Qlik, or similar tools.
  • 3+ years of demonstrated experience working with SQL (Oracle, MS SQL Server, or MySQL)

Nice To Haves

  • Proficiency in Tableau, PowerBI, Qlik, or other Business Intelligence (BI) tools
  • Proficiency with MS SQL Server, Postgres, Oracle, Snowflake, or other Relational Database Management Systems (RDBMS) and/or Data Warehouses.
  • Bachelor’s or higher in Data Science, Analytics, Math, Statistics, or other related degree program.
  • Demonstrated experience working with Extract, Transform, and Load (ETL) tools and processes, including, but not limited to, Alteryx, Python, and/or R.
  • Experience and knowledge of State of Florida operational and administrative data and processes, including, but not limited to, HR, accounting, and budget.

Responsibilities

  • Support the data integrity efforts for the Department.
  • Ensure the accuracy of data entered into the Department’s centralized information systems.
  • Support planning activities conducted by program areas through data and research activities.
  • Assist the Office of the Secretary implement an effective system to make data-informed decisions, including setting goals for each programmatic Division; ensure a consistent, valid, and reliable system of data measurement and methodology; oversee and develop and ensure a robust and efficient data collection process; conduct statistical analysis of identified Division performance metrics, and utilize graphical displays to summarize and communicate data with efficacy.
  • Ensure the Department’s data needs are addressed in a competent and timely manner. This will include, but is not limited to, both on-going needs and special projects, such as Legislative Budget Requests (LBRs) /budget support, public information requests, internal and external communications needs, and data requests from the Florida Legislature.
  • Lead Department data gathering, analysis, and reporting efforts.
  • Responsible for the on-going development and management of service goal measurement and efficiency processes.
  • Develop and supervise the implementation and expansion of interactive dashboard reports for pubic and internal use throughout the Department’s programmatic areas.
  • Identify opportunities for continuous improvement using emerging data and trends and consult with leadership.
  • Responsible for coordinating with staff to track and gather data.
  • Responsible for identifying and analyzing data to be included in presentations/demonstrations appropriate for high-level audiences such as the Florida Legislature.
  • Conduct advanced statistical evaluations of Department programs or initiatives using a variety of methods including, but not limited to: coarsened exact matching (CEM), exact matching, linear regression, logistic/binary regression, multinomial logistic regression, structured equation modeling (SEM), hierarchal linear modeling, survival analysis, time-series analysis, and other interrupted time-series designs.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

1,001-5,000 employees

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