Job Summary

The Data Analytics Engineer helps develop, maintain, and enhance the organization's enterprise analytics and reporting platform. Working closely with the CIO, software development team, and business departments, this position transforms operational data into meaningful reports, dashboards, and business insights.

This role is an excellent opportunity for someone looking to grow their career in business intelligence and modern cloud analytics. The successful candidate will receive mentorship while developing expertise in Microsoft Fabric, enterprise reporting, data modeling, and Power BI. Over time, this position will become a key contributor to the organization's long-term analytics capabilities.

Duties

Enterprise Analytics Platform

Grow into the primary administrator and developer of the Microsoft Fabric reporting environment.
Assist in maintaining data models, datasets, and reporting structures.
Monitor scheduled refreshes and platform performance.
Participate in planning future analytics enhancements.

Data Engineering

Build and maintain automated data pipelines.
Assist in developing data warehouse and semantic models.
Troubleshoot data integration and transformation issues.

Business Intelligence & Reporting

Develop and maintain Power BI dashboards and reports.
Assist with migrating legacy Crystal Reports.
Build reusable reporting datasets.
Work with business users to understand reporting needs.

Business Partnership

Meet with departments to gather reporting requirements.
Translate business questions into reporting solutions.
Recommend reporting improvements and KPI opportunities.

Data Quality & Governance

Maintain documentation and data definitions.
Support data quality initiatives.
Assist with report security and governance.
Support compliance efforts including SOC 2.

Other duties as assigned

Qualifications

High School diploma or equivalent required
1–3 years of professional experience in business intelligence, analytics, database development, data engineering, or a related field preferred.
Equivalent internship, co-op, or significant project experience may be considered.
Experience creating reports in Power BI, Tableau, or a similar BI platform.
Experience working with relational databases.
Exposure to Microsoft Fabric, Azure Synapse, Snowflake, Databricks, or similar cloud analytics platforms.
Experience in healthcare revenue cycle, financial services, or call center operations.

Skills

Strong analytical, communication, and problem-solving skills.
Demonstrated ability and desire to learn new technologies.
ETL/ELT concepts.
Data warehouse and dimensional modeling concepts.
Power Query and DAX.
Experience working with version control.
REST APIs

Physical Requirements

Ability to work at a computer for extended periods.
Ability to occasionally lift up to 25 pounds.
Ability to communicate effectively in person and virtually

Join us and help transform data into actionable insights that support strategic business decisions. We're looking for someone with a strong technical foundation and a passion for learning who wants to build a long-term career in data and analytics.

You'll receive comprehensive training and mentorship in Microsoft Fabric and related technologies, positioning you to become a key analytics resource within our organization.

Recognized as one of the Best Places to Work every year from 2019 through 2025, we believe in developing talent, supporting career growth, and creating an environment where employees can succeed.

Pay: From $50,000.00 per year

Benefits:

401(k)
401(k) matching
Dental insurance
Flexible schedule
Health insurance
Paid time off
Referral program
Vision insurance

Application Question(s):

What tools or technologies have you used for data integration and transformation?

Experience:

Data Analytics, Engineering & Development: 3 years (Preferred)

Work Location: In person

Magnet Solutions

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Data Analytics Engineer