Analytics Engineer

Tactile MedicalMinneapolis, MN
Onsite

About The Position

The Analytics Engineer will support the creation and maintenance of analytics ready data models and datasets in Microsoft Fabric that enable consistent reporting and self-service analytics. This role focuses on applying established modeling patterns, supporting semantic consistency, and improving data usability, converting ingested data into trusted analytical assets under guidance from senior engineers and architects.

Requirements

  • 3-5 years of experience in data analytics, data engineering, reporting, or a related field.
  • Demonstrated ability to design and implement data solutions using SQL or similar technologies.
  • Strong ability to work directly with business stakeholders to gather requirements, communicate insights, and deliver data-driven solutions.
  • Hands-on experience developing analytics, reporting, or data solutions.
  • This role requires active execution and ownership rather than delegation of technical work.

Nice To Haves

  • Experience in healthcare, durable medical equipment (DME), or related health services industry
  • Fabric engineering certification or willingness to obtain certification within 6 months of employment

Responsibilities

  • Build and maintain curated analytical datasets that feed reports and dashboards using Microsoft Fabric
  • Apply established dimensional modeling patterns (facts, dimensions, shared measures) under guidance
  • Help reduce report specific logic by contributing to centralized models and metric definitions
  • Support consistency and reuse across analytics use cases by following modeling standards
  • Validate modeled data against documented business expectations and known benchmarks
  • Partner with BI developers to ensure datasets support reporting and visualization needs
  • Identify downstream data issues related to modeling or logic and escalate for resolution
  • Improve clarity and usability of datasets through consistent naming and structure
  • Apply modeling standards and patterns defined by the Data Architect and Analytics Engineering leads
  • Align datasets with governance requirements such as: Shared definitions, Certification status, Approved usage patterns
  • Support data discoverability by contributing to consistent dataset structures and documentation

Benefits

  • medical
  • dental
  • vision benefits
  • retirement benefits
  • employee stock purchase plan
  • paid time off
  • parental leave
  • family medical leave
  • volunteer time off
  • additional leave programs
  • life insurance
  • disability coverage
  • other life and work wellness benefits and discounts
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