
51 - 200 employees
đ¤ B2B
đź Consulting
âď¸ SaaS
B2B ⢠Consulting ⢠SaaS
CSpring is a consulting firm that specializes in unlocking the power and potential of data to achieve technology-enabled business goals. Founded in 1996, the company focuses on data-driven solutions that align with clients' business objectives, offering services such as data architecture, management, analytics, and reporting. With a team of full-time consultants, CSpring collaborates with both public and private sector clients to develop technology strategies, architect data solutions, build software, and create visualizations tailored to meet unique client needs. CSpring is also recognized as a certified Woman-owned Business Enterprise (WBE) and has been named a Best Place to Work in Indiana.
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51 - 200 employees
đ¤ B2B
đź Consulting
âď¸ SaaS
B2B ⢠Consulting ⢠SaaS
CSpring is a consulting firm that specializes in unlocking the power and potential of data to achieve technology-enabled business goals. Founded in 1996, the company focuses on data-driven solutions that align with clients' business objectives, offering services such as data architecture, management, analytics, and reporting. With a team of full-time consultants, CSpring collaborates with both public and private sector clients to develop technology strategies, architect data solutions, build software, and create visualizations tailored to meet unique client needs. CSpring is also recognized as a certified Woman-owned Business Enterprise (WBE) and has been named a Best Place to Work in Indiana.
⢠Develop and maintain complex SQL queries supporting MDM solutions ⢠Support SQL analysis, data validation, and data analysis reporting ⢠Collaborate on database objects including tables, stored procedures, and views ⢠Execute scripts and maintain, develop, and modify existing programs ⢠Participate in unit, integration, and system testing ⢠Perform data profiling and quality review and analysis ⢠Assess data quality and document findings, recommendations, and remediation opportunities ⢠Analyze data anomalies, matching issues, and client/member record quality concerns ⢠Gather business requirements and prepare analyses from internal and external sources ⢠Participate in project discussions and recommend alternative technical solutions or requirements ⢠Support data governance and stewardship activities ⢠Assist users during UAT and production validation ⢠Improve delivery and management of health and human services programs through data analytics and quality reviews ⢠Work under the guidance of the MDM Technical Lead
⢠5+ years of experience in data analysis, data quality, MDM, business analysis, data governance, and data management ⢠Experience with MDM platforms such as Informatica MDM ⢠Experience gathering and documenting business and technical requirements ⢠Experience with data profiling, data validation, testing, reconciliation, and data quality analysis ⢠Experience supporting QA, UAT, or system testing activities ⢠SQL experience with large MDM and relational DBMS ⢠Knowledge of data quality, matching, unique client/member identifiers, standardization, reconciliation, and data governance concepts ⢠Strong analytical, problem-solving, and data validation skills ⢠Experience supporting MDM operations, issue resolution, testing activities, and SDLC delivery ⢠Bachelor's degree in Computer Science, Data Analytics, Information Systems, Engineering, or equivalent experience ⢠Preferred: experience with other MDM tools and cloud-native MDM solutions ⢠Preferred: experience in State government, public sector, or regulated environments ⢠Preferred: Agile/Scrum sprint development and iterative/incremental delivery experience ⢠Preferred: healthcare, Medicaid, claims, eligibility, provider, or Health and Human Services data experience ⢠Preferred: Python scripting exposure ⢠Preferred: interoperability formats such as X12, EDI, XML, JSON, APIs, or HL7/FHIR ⢠Preferred: cloud data platforms such as Azure, ADF, Databricks, Snowflake, or Data Lake ⢠Preferred: on-prem-to-cloud migration, MDM modernization, or EDW/ETL modernization experience ⢠Preferred: automation, AI/ML, GenAI, or LLM-assisted engineering exposure ⢠Ability to operate in a telecommute environment and matrix organization with minimal direction
⢠Purposeful projects improving systems that serve real people ⢠People-first culture with support, autonomy, and community ⢠Strategic, hands-on work ⢠Collaborative client partnerships ⢠Fully remote work across the continental U.S.
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