Data Analyst/Lead Job at Capio Group in Sacramento

Capio Group is looking for an experienced Data Analyst/Lead!

Full-time employee - Remote
Salary: $120,000 - $130,000

About Us:

Since 2010, we have been working with some of the largest government agencies in California, helping them to solve their greatest challenges. We are a small firm dedicated to big ideas and enjoy the rewards that come from hard work and commitment to our client base. We offer the salary and benefits of the bigger companies with the added bonus of a flexible workplace and a great work-life balance.

Scope of Work:
Capio Group is looking for an experienced Data Analyst/Lead to work as part of a team to provide Information Technology support to the client services that are currently supported by multiple client systems that duplicate data and functionality in silos preventing cross-analysis and lacking the support of modern work automation tools for facilitating process improvement. The team will be responsible for successfully supporting the system within the agreed-upon schedule and standards, focus on driving process improvement and standardization efforts to enhance efficiency, reduce redundancy, and streamline workflows across systems. The client aims to modernize the systems that will be better equipped to address outcome disparities, ensure high quality services, collaborate with accountable partners, report on key outcomes, access, and delivery metrics and also support innovation and payment reform. 

As part of the team, the Data Analyst/Lead will be responsible for tasks including but not limited to:

• Supports the organization by translating business initiatives and goals into analytical questions, identifying critical metrics, conducting analysis, and developing reporting.
• Help identify relevant datasets, contribute to data transformations, clean data, and conduct exploratory and statistical analyses to identify, analyze, and interpret trends or patterns in complex datasets.
• Create visualizations, reports, and present findings, using business intelligence applications, spreadsheets, or code.
• Define data quality needs to support analysis and should be proficient in profiling data to support data quality definitions. 
• Need to implement quality monitoring or work with others to do so and should be able to communicate the impact of data quality on analyses.
• Hold Requirements Meeting with client staff to develop initial data visualization requirements.
  Provide recommendations on how to resolve data errors.
• Assess existing data security processes and recommend/implement solutions to resolve or improve processes.
• Provide continuous support for data visualization and script development.
• Develop technical documentation of scripts, data visualizations, and analyses that can be utilized to troubleshoot and understand solutions.
• Develop user guides to teach end users how to interact with the data visualizations and analyses, and have client’s end-user staff verify documentation.
• Convene weekly or bi-weekly project meetings to provide the completion status of deliverables, roles and responsibilities, and prioritization for keeping the project on track.
• Provide knowledge transfer meetings that cover scripts developed for the client to the client staff.
• Ensure alignment with the client’s data roadmaps and plans while collaborating closely with their data teams to support project objectives and deliverables.
• Involves Identifying inefficiencies, implementing best practices, and fostering collaboration among stakeholders to ensure consistent processes. 
• Improve data accuracy, facilitate better decision-making, and support long-term scalability by standardizing workflows.
• Lead standardization of data to stay aligned to data roadmaps and plans and work collaboratively with internal data teams.

1. Must have a minimum of five (5) years of experience as a data analyst or in other quantitative analysis or related disciplines, such as researcher, data engineer or BI analyst.
2. Within the last ten (10) years, must have a minimum of five (5) years of experience in electronic data analytics, design, visualization, and programming. At least three (3) years must have been in a lead capacity.
3. Within the last ten (10) years, must have a minimum of three (3) years of experience supporting a  large scale & complex IT systems*
   *A “large and complex IT system” is defined as:
   (a) At least $20M in total project cost;
   (b) A solution that has at least one hundred (100) internal end users and one hundred thousand (100,000) external users; and
   (c) A solution that provides a secure data exchange interface with multiple external systems.
4. Within the last ten (10) years, must have a minimum of three (3) years of experience leading Standardization of data.
5. Within the last five (5) years, must have experience working with the Medicare/Medicaid/Medi-Cal program.
6. Must possess a Bachelor’s degree in Data Analytics, IT or Engineering field. Additional qualifying experience may be substituted for the required education on a year-for-year basis. A copy of the degree must be provided upon request.
7. Must provide at least two (2) references from previous engagements of similar size, scope, and type of service.
8. Within the last ten (10) years, must have a minimum of three (3) years of working experience with data roadmaps and strategic planning, with a demonstrated ability to align project initiatives with the client’s data objectives and long-term goals

1. At least three (3) years of experience with data from Medi-Cal/Medicaid/Medi-care systems. 
2. Strong background in data profiling, mapping, cleansing and extraction. 
3. Experience in supporting data loading cycles and data validation.
4. Experience supporting the creation and delivery of end-user training. 
    

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