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Senior Data Analyst

Remote

About the Company

Our client is a private equity-backed, rapidly growing multi-location services platform operating across the Northeast. Through a combination of organic growth, acquisitions, and operational excellence, the company has established itself as a market leader in a highly fragmented industry.

As the organization continues to scale, leadership is investing heavily in data, analytics, and business intelligence capabilities to drive smarter decision-making and create a more data-driven culture. This newly created role represents an opportunity to build foundational analytics capabilities and have a meaningful impact on how the business measures performance, allocates resources, and executes its growth strategy.

The Opportunity

Reporting to the Vice President of Strategic Initiatives, the Data Analyst will serve as the primary analytics resource for the organization. This is a highly visible individual contributor role that combines technical data expertise with business partnership and problem-solving.

The successful candidate will work directly with leaders across Operations, Finance, Sales, Marketing, and other functions to develop a common understanding of key business metrics, establish data governance standards, and build reporting that drives action.

This role is ideal for someone who enjoys getting into the details of source systems, writing SQL, troubleshooting data issues, and transforming fragmented information into meaningful business insights. Rather than inheriting a mature analytics environment, this individual will help build the foundation.

Location is flexible, with remote candidates encouraged to apply.

Key Responsibilities

Data Foundation & Governance

• Develop and maintain the organization's data dictionary, creating clear definitions and governance around critical business metrics.
• Partner with department leaders to understand operational nuances and ensure KPI definitions accurately reflect business realities.
• Establish consistent reporting standards across the enterprise.
• Improve data quality, integrity, and accessibility across multiple systems and data sources.

Analytics & Business Intelligence

• Design, build, and maintain dashboards and reporting solutions in Power BI.
• Create executive-level reporting focused on key business performance indicators, including recurring revenue, customer retention, operational productivity, growth initiatives, and other strategic metrics.
• Translate business questions into structured analysis that supports decision-making.
• Deliver insights that identify trends, risks, opportunities, and areas for operational improvement.

Data Engineering & Technical Execution

• Write and maintain SQL queries within Snowflake to support reporting, analysis, and ad hoc business requests.
• Extract, cleanse, transform, and validate data from source systems.
• Monitor and troubleshoot data pipelines, integrations, and reporting processes.
• Support the integration and standardization of data from acquired businesses as the company continues to grow.

Cross-Functional Partnership

• Serve as a trusted partner to leaders across Operations, Finance, Sales, Marketing, and other functions.
• Gather business requirements and translate them into scalable reporting and analytics solutions.
• Educate stakeholders on metric definitions, reporting logic, and data interpretation.
• Help foster a more data-driven decision-making culture throughout the organization.

Qualifications

• 5+ years of experience in data analytics, business intelligence, or a related field.
• Advanced SQL skills, including experience with complex joins, window functions, CTEs, and performance optimization.
• Hands-on experience working within Snowflake or a comparable cloud data warehouse.
• Experience building dashboards and reporting solutions in Power BI.
• Strong ability to extract, manipulate, validate, and troubleshoot data directly from source systems.
• Experience working with ELT/ETL tools such as Fivetran, Airbyte, Stitch, or similar platforms.
• Proven success partnering with business stakeholders and translating business needs into technical solutions.
• Strong communication skills with the ability to explain technical concepts to non-technical audiences.
• Highly detail-oriented with a passion for data accuracy and quality.

Preferred Qualifications

• Experience supporting private equity-backed, multi-location, or acquisition-driven organizations.
• Background in services, field operations, route-based businesses, or other operationally intensive environments.
• Exposure to dbt, Python, or other data transformation and automation tools.
• Familiarity with CRM, ERP, billing, or field service management platforms.

What Success Looks Like

Within the first year, this individual will:

• Establish a comprehensive data dictionary and standardized KPI framework across the organization.
• Build reliable, self-service reporting used regularly by business leaders and executives.
• Create clear visibility into critical business metrics, including recurring revenue and operational performance drivers.
• Improve confidence in reporting accuracy and data quality.
• Become the go-to resource for data, analytics, and business performance insights across the company.
• Help leadership make faster, more informed decisions that support the company's continued growth and value creation strategy.