Education: Bachelor's or master's degree in Data Science, Computer Science, Information Science, or other Information Technology major, or equivalent work experience.
Required Tasks to be performed:
• 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.
Required Knowledge, Skills & Abilities (KSAs):
• 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 Knowledge, Skills & Abilities (KSAs):
• Extensive experience with Qlik Sense.
• Experience with Oracle SQL Developer, TOAD, or similar data tools.