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Sr. Data Analyst

Sr. Data Analyst

Envision, LLCRemote, MO, US
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Senior Data Analyst – Cloud Data Engineering (US Remote – CST)

We are seeking a highly experienced Senior Data Analyst to join our Cloud Data Engineering team. This is a critical role focused on data mapping, validation, and cross-functional collaboration.  We’re looking for someone with exceptional communication skills, a strong analytical mindset, and the ability to collaborate with a wide range of stakeholders across 15 ore more enterprise wide teams and departments to drive data transformation initiatives forward.

In this role, you will :

  • Serve as a liaison across several business and technical teams, translating business needs into technical requirements.
  • Perform complex data mapping across 50+ relational tables, aligning source and target data attributes between legacy and modern systems.
  • Write advanced SQL queries to transform, map, and validate data between systems. You’ll identify discrepancies, document gaps, and ensure clean transitions.
  • Analyze, break down, and clarify ambiguous or high-level business requirements in collaboration with product owners and lead analysts.
  • Drive data validation post-development : partner closely with developers and QA teams to ensure data accuracy and validate outputs.
  • Utilize Excel (advanced formulas, lookups, pivot tables, etc.) and SQL extensively for ad hoc analysis and validation tasks.
  • Participate in API validation efforts, helping to ensure correct and complete data transfers between systems.
  • Operate within Agile / Kanban frameworks to manage workloads efficiently and transparently.

This is not your typical analyst position. Your impact will be seen across multiple business units as you :

  • Become a trusted bridge between technical teams and business users, owning communication across 16+ stakeholders.
  • Work with large-scale datasets across numerous systems to solve real-world data challenges during platform migrations and integrations.
  • Contribute to system modernization by supporting data mapping from legacy systems to new cloud environments (e.g., Azure & Databricks).
  • Note : Prior cloud experience is not required—but you'll get hands-on exposure in a supportive environment.
  • Enjoy working with a highly collaborative, cross-functional team that values growth, shared learning, and real-world impact.

    • What You’ll Need to Succeed

  • 5+ years of experience as a Data Analyst or Senior Analyst working with large datasets and cross-functional teams.
  • Proven data mapping experience—ideally across 100+ tables—with strong understanding of data attribute alignment, schema translation, and data quality validation.
  • Mastery in SQL (Teradata, Oracle, SQL Server) and Excel for data manipulation and validation.
  • Strong understanding of how APIs validate and transfer data.
  • Exceptional written and verbal communication skills—you should be comfortable leading conversations with business stakeholders and developers alike.
  • Strong collaboration skills and ability to work across departments, including engineering, QA, and product management.
  • Experience gathering requirements, breaking work into clear and trackable tasks, and seeing it through development to testing and production validation.
  • Familiarity with Agile and tools like JIRA and Confluence.

    • Preferred But Not Required

  • Exposure to cloud technologies (e.g., Azure, Databricks)
  • Experience working with enterprise-wide systems and data security standards
  • Experience in release validation, regression testing, or issue troubleshooting

    • Work Environment

  • Remote (U.S. based only) – Must be able to work core Central business hours
  • Highly collaborative, growth-minded, and technically diverse team
  • A unique opportunity to learn new technologies while working in a mission-critical, enterprise-level environment
  • This is a senior-level opportunity for a candidate who thrives on bridging gaps between systems and people, and who brings both technical depth in data mapping and clarity in communication.
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