Ric - Data Scientist 2

Mid level Data Analyst /Data Scientist 2
Richmond , VA
ON-SITE - Candidates will be expected to work ON-SITE 5 days per week
Key Skills

• Possess a higher level of computer proficiency
• Demonstrate advanced proficiency in Microsoft Office, specifically Excel and Power BI
• Strong analytical and problem-solving skills, with the ability to analyze complex data sets and derive meaningful insights
• Experience working with varied, complex data sets, including statistics, surveys, sales, and operational data
• Working knowledge of data engineering principles: understanding how to store, manage, & retrieve large-scale data sets from multiple systems for analysis or operations
• Knowledge and experience in government operations and utilities preferred
• 4 years' experience in data analytics
• Proficiency in data analysis and visualization tools
• Ability to communicate data insights to both technical and non-technical audiences

Required/Desired Skills Skill Required /Desired Amount of Experience Experience in data analytics Required 4 Years Understanding how to store, manage, & retrieve large-scale data sets from multiple systems for analysis or operations Required 4 Years Experience working with varied, complex data sets, including statistics, surveys, sales, and operational data Required 4 Years Proficiency in data analysis and visualization tools Required 4 Years Ability to communicate data insights to both technical and non-technical audiences Required 4 Years Knowledge and experience in government operations and utilities preferred Desired 4 Years
Primary Duties

• Create and maintain a dashboard using Power BI
• Ensure compliance with all regulatory data sharing and privacy laws and regulations
• Demonstrate the ability to translate data into clear, actionable next steps for internal teams
• Model data using high-level conclusions
• Collect data from various sources to interpret, identify trends, summarize, illustrate, and succinctly report data findings and recommendations to achieve and maintain operational efficiencies.
• Help bridge the gap between data and decision making to assist executives with making strategically guided decisions
• Serve as a trusted & respected business partner to all levels in the organization
• Collaborate with Data Analyst and other team members as needed