Estimated Duration: 12+ months with possible extensions
Work Setting: Remote

Required:
• Bachelor’s or Master’s degree in Data Science, Environmental Science, Information Science, or other Information Technology major, or equivalent work experience.

For R172968:
[Note: Proficiency levels are ranked from 1 -5, with 1 = beginner and 5 = expert.]
• Experience in data visualization and analysis (3-5 years) (Proficiency level: 4);
• Experience in gathering and cleaning data from various sources. (Proficiency level: 4);
• Experience 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: 3);
• 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: 4).

For R172903:
• Experience in data visualization and analysis (5-10 years) (Proficiency level: 5);
• Experience in gathering and cleaning data from various sources. (Proficiency level: 5);
• Experience with statistical methods and techniques to identify patterns, trends, correlations, and anomalies. (Proficiency level: 5);
• 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: 5);
• Good oral (presenting and public speaking) and written (documentation, briefing reports, correspondence, PowerPoint presentations, etc.) communication skills. (Proficiency level: 4);
• Ability to determine work priorities and ensure proper completion of work assignments. (Proficiency level: 5).

Preferred:
• Experience with Alteryx;
• Experience with Oracle SQL Developer, TOAD, or similar data tools;

For R172968:
• Experience with Qlik Sense or Qlik Cloud (3-5 years);
• Experience with environmental data science, water quality, or related fields (3+ years).

For R172903:
• Experience with Qlik Sense or Qlik Cloud (5-10 years);
• Experience with environmental data (science, water quality, or related fields (5+ years).

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;
• Work collaboratively with program areas to identify KPIs and develop metrics to track and measure progress toward goals;
• Monitor data quality to identify data issues and propose data cleansing or enhancement solutions;
• 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.