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Senior Data Analyst Engineer

Job in Joplin, Jasper County, Missouri, 64803, USA
Listing for: TKC Holdings
Full Time position
Listed on 2026-08-01
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Data Analyst, Business Intelligence
Salary/Wage Range or Industry Benchmark: 100000 - 160000 USD Yearly USD 100000.00 160000.00 YEAR
Job Description & How to Apply Below

Wage Rate

$,000/year

Overview

Are you looking for a career with premium benefit sand the potential for growth?

At TKC Holdings, we’ve created something special, a better place to work and grow. Many employees start just expecting a paycheck but end upwith a rewarding career. We provide exceptional training and a clear career path.

We are proud to be a military and veteran friendly employer.

About This Position

TKC Holdings is seeking a highly skilled Senior Data & Analytics Engineer to support and advance its enterprise reporting, analytics, and cloud data platform initiatives. This role will be responsible for designing, developing, testing, documenting, and supporting Snowflake-based data solutions and Power BI reporting assets while partnering closely with business stakeholders to understand operational and analytical requirements.

The successful candidate will possess a unique combination of business analysis, solution architecture, data engineering, and business intelligence development skills. This individual will work directly with business users to understand processes, gather requirements, analyze business problems, and translate those needs into scalable and maintainable technical solutions.

This position is expected to evolve into a key technical resource within the Data & Analytics organization, developing deep business and platform knowledge while serving as a succession and backup resource for critical data platform responsibilities.

Key Responsibilities Business Partnership & Analysis
  • Partner directly with business stakeholders to understand operational processes and reporting needs.
  • Facilitate requirements gathering sessions and translate business needs into scalable technical solutions.
  • Analyze business rules, KPIs, data definitions, and operational workflows.
  • Support user testing, validation, and adoption of analytical solutions.
Data Engineering & Architecture
  • Design, develop, and maintain Snowflake data warehouse solutions.
  • Build and optimize ELT/ETL processes using modern data integration tools.
  • Develop scalable dimensional and semantic data models.
  • Support enterprise data architecture and modernization initiatives.
  • Optimize database performance and data processing workloads.
Business Intelligence Development
  • Develop and support Power BI semantic models, dashboards, reports, and dataflows.
  • Enable self-service analytics capabilities across the organization.
  • Ensure reporting accuracy, usability, performance, and maintainability.
Platform Ownership & Governance
  • Participate in architecture reviews, code reviews, and technical standards development.
  • Implement data quality, governance, security, and documentation best practices.
  • Support long-term data platform growth and modernization strategies
What You’ll Need

Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Analytics, or related field , or equivalent combination of education and experience.
  • 7+ years of experience in business intelligence, analytics, data engineering, or data warehousing.
  • 3+ years of hands-on Snowflake development experience.
  • 3+ years of Power BI development experience.
  • Advanced SQL skills.
  • Experience designing dimensional data models and scalable reporting solutions.
  • Experience developing and supporting ETL/ELT solutions.
  • Proven ability to gather requirements and work directly with business stakeholders.
  • Strong analytical, communication, and problem-solving skills.
  • Demonstrated ability to operate independently and manage complex projects.
Preferred Qualifications
  • Microsoft Fabric experience.
  • Azure Data Factory experience.
  • Databricks experience.
  • Qlik Replicate experience.
  • Oracle and SQL Server experience.
  • Python experience.
  • dbt experience.
  • Azure Dev Ops and Git experience.
  • Snowflake or Microsoft certifications.
Critical Success Competencies
  • Business Analysis & Requirements Gathering
  • Data Engineering & Architecture
  • Consultative Customer Service
  • Communication & Relationship Building
  • Analytical Thinking
  • Solution Design
  • Ownership & Accountability
  • Continuous Learning
  • Testing & Validation
  • Technical Leadership
Personal Attributes We Value

The ideal candidate demonstrates:

  • A natural curiosity and desire to understand…
Position Requirements
10+ Years work experience
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