For more details, please connect with Afra Aleem at 609-371-5400 Ext 112 or email him at

Job Title: Data Analyst

Duration: 6 Months

Start Date: ASAP

Location: Douglas Building located at 3900 Commonwealth Boulevard, Tallahassee, FL 32303

Position Type: Contract

Interview Type: In person/Webcam

Ceipal ID: SFL_DAT580_AF

Department: Florida Department of Environmental Protection Office of Technology and Information Services (OTIS)

Required Qualifications:

• 5-7 years’ proven experience in data visualization and analysis
• Proficient in gathering and cleaning data from various sources (Proficiency level: 4)
• Familiar with statistical methods and techniques to identify patterns, trends, correlations, and anomalies (Proficiency level: 4)
• Good analytical and problem-solving skills, with the ability to translate program requirements into technical solutions and engage effectively with stakeholders at all levels. (Proficiency level: 4)
• Good oral (presenting and public speaking) and written (documentation, briefing reports, correspondence, PowerPoint presentations, etc.) communication skills. (Proficiency level: 3)
• Ability to determine work priorities and ensure proper completion of work assignments. (Proficiency level: 3)

Preferred Skills:

• Extensive experience with Qlik Sense.
• Experience with Oracle SQL Developer, TOAD, or similar data tools.
• Familiarity with environmental data.

Description:

Serve as the Data Analyst for the Department’s D&A Office to support data visualization and analysis needs. This position supports the Office of Environmental Accountability and Transparency developing dashboards and reports using Qlik Sense.

Responsibilities:

• Develop visually appealing, intuitive, user friendly, and insightful Qlik Sense dashboards and reports
• Advise program areas on which visualizations and analyses would best help them achieve their goals
• Collaborate with data engineers and others to gather and clean data from various sources, ensuring data integrity and quality
• Use statistical methods and techniques to identify patterns, trends, correlations, and anomalies, and extract meaningful insights
• Interpret results using a variety of techniques, ranging from simple data aggregation to more complex statistical analysis
• Work collaboratively with program areas to identify KPIs and develop metrics to track and measure progress toward goals
• Collaborate with data engineers and others to optimize data collection, storage, and retrieval processes
• Monitor data quality to identify data issues and propose data cleansing or enhancement solutions
• Stay updated with industry trends and best practices in data analysis, visualization, and reporting
• Partner with cross-functional teams, including data engineers, scientists, and others to understand data needs, address technical challenges, and promote data-driven decision-making across the organization. Provide overall direction, guidance and definition of the enterprise’s architecture to effectively support the agency’s business strategy.
• Provide guidance and mentorship to junior staff members and colleagues, fostering a culture of continuous learning, innovation, and excellence in D&A practices.