Analytics Engineer

About the Opportunity

RemoteHunter is seeking a United States based Analytics Engineer to support reporting, ad-hoc analysis, and analytics development across the organization. This role is crucial in evolving the data platform, bridging data engineering and business functions. You will manage day-to-day analytics needs, including Power BI dashboards, ad-hoc reporting, and SQL development, with clear growth opportunities into data modeling and advanced analytics, including machine learning. This position involves close collaboration with a Senior Solutions Engineer focused on data ingestion and integrations.

Responsibilities

• Own ad-hoc reporting and analysis for operations, finance, and leadership.
• Build and maintain Power BI dashboards and reports.
• Translate ambiguous business questions into clear analytical outputs.
• Partner with stakeholders to define and refine KPIs and metrics.
• Ensure reporting is accurate, performant, and trusted.
• Write high-quality SQL to support reporting and analytics.
• Build and improve analytics-ready (gold-layer) datasets.
• Contribute to dimensional and fact-based data models.
• Improve consistency, usability, and documentation of core datasets.
• Gradually take on more responsibility in data modeling and analytics engineering.
• Collaborate on improving analytics architecture and best practices.
• Explore advanced analytics or machine learning use cases over time.

Requirements

• Strong expertise in SQL development with modular design skills.
• Proven ability working with large and complex datasets.
• Hands-on experience building reports or dashboards (Power BI preferred).
• Experience handling ad-hoc analysis and evolving business questions.
• Understanding of dimensional modeling.
• Ability to communicate clearly with non-technical stakeholders.
• Curiosity and motivation to grow technically.

Nice to have

• 2+ years of SQL development experience.
• Experience with Databricks, Snowflake, or other cloud data platforms.
• Familiarity with analytics engineering concepts.
• Familiarity with version control and CI/CD tools (GitHub, Gitlab, etc.).
• Exposure to healthcare, EMR, or regulated data environments.
• Interest in machine learning or advanced analytics (not required).

Benefits & Perks

• Bonus eligible.
• Health care plan including medical, dental, and vision.
• Retirement plan (401k).
• Life insurance.
• Paid time off.
• Short term and long term disability.
• Training and development.

Key skills/competency

• SQL Development
• Power BI
• Ad-hoc Reporting
• Data Modeling
• Dimensional Modeling
• Data Warehousing
• Analytics Engineering
• Stakeholder Communication
• Cloud Data Platforms (Databricks, Snowflake)
• Machine Learning Interest