Data Solutions Analyst: Bridge Business & Tech (Hybrid)

TEK Systems; Loveland (CO); Hybrid; USD 51,000 - 65,000; Full time

Benefits offered by this job

Medical, dental & vision

401(k)/Roth

Life Insurance (Voluntary Life & AD&D)

Short and long-term disability

Health Spending Account (HSA)

Transportation benefits

Employee Assistance Program

Time Off/Leave (PTO, Vacation or Sick)

Job summary

TEKsystems is seeking a Data Solutions Analyst to bridge the gap between business stakeholders and technical delivery teams in Loveland, CO. The role emphasizes translating data and reporting needs into actionable solutions and collaborating with data engineers, developers, and business partners to drive value from enterprise data services.

The ideal candidate is an early-to-mid level professional with strong communication, ownership, and initiative, capable of working in a fast-paced,

Qualifications

• Experience working in data, reporting, analytics, business systems, or related environments.

Responsibilities

• Gather, document, and refine business requirements.
• Serve as a local point of contact for business stakeholders and Data Services.
• Coordinate with data engineers, developers, ETL teams, and reporting resources.
• Help prioritize incoming requests and facilitate delivery efforts.
• Track initiatives and communicate status to stakeholders.
• Drive discussions regarding data needs, reporting requirements, and solution outcomes.
• Influence solution design by translating stakeholder needs into business and technical requirements.

Skills

Data analysis

Requirements gathering

Stakeholder communication

Prioritization

Cross-functional collaboration

Tools

Sql

Hana Studio

Power BI

Power Query

VS Code

GitHub

Data Warehouse

Data Modeling

Job description

TEKsystems is seeking a Data Solutions Analyst to bridge the gap between business stakeholders and technical delivery teams in Loveland, CO. The role emphasizes translating data and reporting needs into actionable solutions and collaborating with data engineers, developers, and business partners to drive value from enterprise data services.

The ideal candidate is an early-to-mid level professional with strong communication, ownership, and initiative, capable of working in a fast-paced,