Data Analyst

Capio Group is looking for an experienced Data Analyst!

Full-time employee - Sacramento
Salary: $110,000 - $120,000

About Us:
Capio Group is a California-based Information Technology Consulting firm serving the public sector since 2010. We assist the Government in delivering large, complex systems and solutions. Capio Group is a small, but quickly growing firm that mixes good ideas, with great people, to achieve extraordinary results for our clients. 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 and qualified Data Analyst to work as a part of the team on leading the transformation of the client current SAP ECC, CRM and other on-premise SAP systems to the latest SAP software version, RISE with SAP. This project emphasizes industry regulations and rules, implementing best practices in data quality, data migration, change management, and training services. The ideal candidate will have strong expertise in Power BI, data analysis, and adherence to state security and privacy standards.

As part of the team, the Data Analyst 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 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.

1. Must have a minimum of five (5) years of experience as a data analyst or in other quantitative analysis or engineering disciplines, such as researcher, data engineer or Business Intelligence analyst.
2. Must possess a bachelor’s degree. 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.
3. Must have a minimum of three (3) years of lead experience with Extract, Transform, and Load (ETL) from multiple disparate data sources, including data analysis and data cleansing.
4. Must have at least three (3) years of experience supporting the design and development of analytical models, tools, or programs using Data Analysis tools.
5. Must have a minimum three (3) years of experience as a Data Analyst. Experience must include data mapping, classification, and analysis for multiple IT systems and interfaces; analyzing current state data environments; and designing future state data environments.
6. Must have a minimum three (3) years of previous working experience as a Data Analyst
    on SAP S/4HANA Transformations, implementations, and Migration Projects.

1. A minimum two (2) years of experience with the U.S. electric utility industry or similar Public Utility industry.
2. A minimum of three (3) years of experience providing data analysis, reporting through dashboards, and supporting requests for the creation of reports using tools such as MS Power BI, Oracle Business Intelligence, Tableau, or any similar tool.
3. A minimum two (2) years of experience supporting the creation and delivery of end-user training. 
4. A minimum two (2) years of experience in supporting data loading cycles and data validation.
   Possession of one or more certifications from the following: A copy of the certification must be provided upon request.
   1. SAP Certified Associate - Implementation Consultant - SAP S/4 HANA Cloud Public Edition, Financial Accounting
   2. SAP Certified Associate - Implementation Consultant - SAP S/4 HANA Cloud Public Edition, Management Accounting
   3. SAP Certified Associate - Implementation Consultant - SAP S/4HANA Cloud Public Edition
       

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