Analytics Engineer

At Tactile Medical, we specialize in developing at-home therapy devices to treat lymphedema, chronic venous insufficiency and respiratory illnesses.

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.

Key Responsibilities: Data Modeling & Semantics

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

Data Quality & Usability

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

Architecture & Governance Alignment

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

Education & Experience:

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.

Preferred:

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

Key Skills: Technical

Designs analytics ready data models in Microsoft Fabric using SQL across Lakehouse and Warehouse

Applies dimensional and semantic modeling independently to deliver consistent, reusable metrics

Develops intermediate DAX measures to ensure correct metric behavior across reports

Uses Power Query (M) to standardize data shaping and reduce duplication

Validates and reconciles analytical datasets proactively to ensure accuracy before consumption

Professional

Ownership mindset for analytical correctness and usability

Willingness to learn, iterate, and improve existing models

Collaborates closely with business users, ETL engineers, and governance roles

Comfortable receiving feedback and working within defined standards

Measured Success:

Curated datasets are reused across multiple reports

Metrics behave consistently across tools and dashboards

BI teams rely on shared models rather than recreating logic

Analytics datasets are easy to understand and trusted by users

Our total compensation package includes medical, dental and vision benefits, retirement benefits, employee stock purchase plan, paid time off, parental leave, family medical leave, volunteer time off and additional leave programs, life insurance, disability coverage, and other life and work wellness benefits and discounts. Benefits may be subject to generally applicable eligibility, waiting period, contributions, and other requirements and conditions.

Below is the starting salary or hourly range for this position, although offers may differ based on the candidate's location, job-specific knowledge, skills and experience.

US Pay Range $93,600 — $131,040 USD

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