This is 100% onsite work position based in Tallahassee,FL. Apply only if you are willing to relocate.
Education: Bachelor's Degree in a field of study related to technology or finance. Work experience can substitute on a year for year basis for the degree.
Certifications: in the field preferred
Required Experience:
1. Experience in data visualization and analysis. (Proficiency level: 4)
2. Proficient in gathering and cleaning data from various sources. (Proficiency level: 4)
3. Experience with Qlik Sense or Qlik Cloud
4. Experience with Alteryx.
5. Experience with Oracle SQL Developer, TOAD, or similar data tools.
6. Experience with environmental data (science, water quality, or related fields.
7. Familiar with statistical methods and techniques to identify patterns, trends, correlations, and anomalies. (Proficiency level: 4)
8. 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: 3)
9. Good oral (presenting and public speaking) and written (documentation, briefing reports, correspondence, PowerPoint presentations, etc.) communication skills. (Proficiency level: 3)
10. Ability to determine work priorities and ensure proper completion of work assignments. (Proficiency level: 4)
Responsibilities:
1. Develop visually appealing, intuitive, user friendly, and insightful Qlik Cloud dashboards and reports
2. Advise program areas on which visualizations and analyses would best help them achieve their goals
3. Collaborate with data engineers and others to gather and clean data from various sources, ensuring data integrity and quality
4. Use statistical methods and techniques to identify patterns, trends, correlations, and anomalies, and extract meaningful insights
5. Interpret results using a variety of techniques, ranging from simple data aggregation to more complex statistical analysis
6. Work collaboratively with program areas to identify KPIs and develop metrics to track and measure progress toward goals
7. Collaborate with data engineers and others to optimize data collection, storage, and retrieval processes
8. Monitor data quality to identify data issues and propose data cleansing or enhancement solutions
9. Stay updated with industry trends and best practices in data analysis, visualization, and reporting
10. 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.
11. Provide guidance and mentorship to junior staff members and colleagues, fostering a culture of continuous learning, innovation, and excellence in D&A practices.
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