Business Intelligence Analyst

GoHealth Urgent Care•Rochester, MN

About The Position

You’re more valuable than ever – And that’s just how we’ll make you feel. Job Summary The Business Intelligence Analyst plays a pivotal role in enabling enterprise-wide, data-driven decision-making. Sitting at the intersection of Finance, Marketing, and Operations, this role transforms complex datasets into actionable insights that directly influence strategic, financial, and operational outcomes. The Analyst designs and automates reporting workflows, builds scalable dashboards, and develops data models within the Company’s modern analytics ecosystem (Snowflake, dbt, Tableau, Airflow). By partnering with senior leadership to translate analytical findings into business strategy recommendations, the Analyst ensures every decision is informed by timely, trusted, and actionable data.

Requirements

Bachelor’s degree in business, Finance, Marketing Analytics, Statistics, Economics, Computer Science, or a related quantitative field
2+ years of experience in business intelligence, analytics, or a related field, with demonstrated exposure to cross-functional projects and modern BI tools.
Proficiency in SQL for data querying and analysis.
Experience with data visualization tools (preferably Tableau).
Ability to analyze and interpret both financial and marketing performance data.
Ability to extract, clean, and analyze data to identify trends, patterns, and actionable insights.
Strong skills in SQL, Tableau (or other BI tools), and Excel/Google Sheets to support reporting and dashboard development.
Understanding of budgeting, forecasting, variance analysis, and financial KPIs to support Finance initiatives.
Knowledge of campaign performance measurement, attribution modeling, and ROI analysis to support the Marketing department.
Ability to tackle moderately complex data problems, evaluate options, and deliver effective, data-driven solutions.
Strong written and verbal communication skills to explain technical concepts and insights to non-technical stakeholders.
Ability to work cross-functionally with Finance, Marketing, Operations, and IT teams, and other departments, adapting to evolving priorities.
Curiosity and willingness to learn new tools, methods, and business domains as organizational needs change.
This role involves interaction and collaboration with other departments and requires excellent judgment and interpersonal skills.
Advanced proficiency in SQL for data extraction, transformation, and validation.
Expertise with Tableau or similar BI tools for interactive dashboards and executive scorecards.
Ability to design and maintain reusable data models and semantic layers in a governed cloud environment.
Understanding of data governance, lineage, and quality principles to ensure accuracy of certified data sources.
Familiarity with workflow orchestration tools (e.g., Airflow) and data transformation frameworks (e.g., dbt).
Strong business acumen connecting KPIs to financial and operational objectives.
Exceptional communication and storytelling skills to convey insights to leadership.

Nice To Haves

Tableau Desktop Specialist or higher
dbt Fundamentals Certification, Snowflake SnowPro Core, or equivalent.
Master’s degree in Data Analytics, Finance, or Computer Science
Experience in healthcare, finance, or marketing analytics.
Tableau Data Analyst Certification.
Familiarity with Snowflake or other cloud data warehouses.
Knowledge of forecasting methods, variance analysis, or campaign ROI measurement.
Exposure to JIRA/Agile project environments.
Curiosity, adaptability, and eagerness to learn new tools and methodologies.
Working knowledge of Snowflake, dbt, or other cloud data platforms and modeling tools.
Experience supporting Finance, Marketing, or Operations analytics.
Exposure to JIRA/Agile project environments.
Familiarity with forecasting, ROI modeling, and variance analysis.
Experience contributing to enterprise data governance or KPI standardization initiatives.
Understanding of data privacy and security principles within healthcare or other regulated environments.
Exposure to predictive modeling, segmentation, or A/B testing methodologies.

Responsibilities

Develop and maintain dashboards and reports in Tableau and Excel/Google Sheets to track key financial and marketing metrics on a weekly and monthly basis.
Extract and analyze data using SQL to support ad-hoc requests, recurring reports, and deep dive analyses across Finance, Marketing, and Operations.
Conduct financial analyses including budget vs. forecast variance, revenue performance, and cost optimization to support leadership decision-making.
Evaluate marketing campaign performance by analyzing ROI, channel attribution, and customer acquisition/retention trends.
Collaborate with cross-functional teams (Finance, Marketing, Operations, and Data Services) to define KPIs, validate data, and ensure reporting accuracy.
Communicate insights and recommendations through presentations, visualizations, and summaries tailored to technical and non-technical stakeholders.
Support continuous improvement by identifying automation opportunities, improving reporting processes, and contributing to BI best practices.
Stay current on BI tools and market trends to bring forward innovative approaches and strengthen data-driven decision-making across the organization.
Design, automate, and maintain enterprise dashboards that provide leadership visibility into financial, marketing, and operational performance.
Develop and optimize SQL/dbt data models in Snowflake to streamline recurring reporting and enable scalable analytics.
Partner with Data Governance and Data Services to define, standardize, and validate KPIs across departments.
Conduct deep-dive analyses to identify margin, utilization, and growth opportunities with measurable impact.
Collaborate cross-functionally to align on metric definitions and automate recurring workflows that reduce manual effort.
Present findings and strategic recommendations to Finance, Marketing, and Operations leadership.
Contribute to analytics best practices by developing reusable data assets and self-service reporting standards.
Continuously evaluate and implement BI innovations (automation, alerting, storytelling) to enhance efficiency and insight delivery.