Business Intelligence Specialist

Florence Healthcare Inc•Atlanta, GA

56d

About The Position

Reporting directly to the Sr. Director of Finance & BI, the Business Intelligence Specialist candidate will partner with business leaders to implement and unlock business insights across Sales, Marketing, Finance, and Customer Success. This position will be a fit for a candidate looking for exposure to various business functions and their leaders, using curiosity to experiment with data, and make an impact on the executive decision-making process within the first year.

Requirements

Minimum of 5 years in Business Intelligence and Data Analysis roles, with a problem-solving mindset and strong drive
Expert-level proficiency in writing/optimizing SQL queries as well as familiarity navigating/structuring data including Salesforce, Snowflake and semantic layers (dbt, Fivetran)
Mastery of at least one major BI visualization platform (Power BI / Tableau / Looker), including report design, dashboard development, and understanding the visual flow and progressive disclosure concepts.
Strong practical experience in dimensional modeling techniques (snowflake schemas, star schema, fact constellations) and implementing data governance principles (ownership, quality, integrity, transparency, accessibility).
Proven ability to engage with business stakeholders, gather non-technical requirements and translate them directly into technical data solutions and KPIs.
Excellent verbal and written communication skills with experience presenting analytical findings to management and non-technical teams.

Nice To Haves

Data architecture, ETL, visualization certifications
Data consulting experience
Tech/Pharma/SaaS experience
Familiarity with HubSpot, Gainsight, NetSuite

Responsibilities

Data Management: Design, optimize, and maintain robust data models (Snowflake schemas) within the data warehouse environment.
Data ETL: Develop, test, and implement ETL/ELT processes to integrate data from disparate sources (cloud platforms, databases, APIs, semantic layer) into the BI environment, ensuring data quality and integrity.
BI Platform: Serve as the subject matter expert for core BI tools (Tableau), developing advanced calculated fields using languages like DAX.
Querying & Scripting: Write SQL queries and develop scripts in Python/R for advanced data manipulation and statistical analysis.
Enterprise Architecture: Support the enterprise architecture program, identifying and fixing data discrepancies across systems.
Data Strategy: Partner with business leaders to translate strategic objectives and information needs into measurable KPIs.
Storytelling: Create and present compelling reports/dashboards that visually communicate complex findings and actionable recommendations.
Analysis: Conduct deep-dive statistical and descriptive analysis to identify trends, anomalies, and opportunities for business improvement.
Discovery: Lead discovery sessions with stakeholders across finance, operations, and marketing to elicit, document, and prioritize business requirements for new BI solutions.
Project Management: Manage the full lifecycle of BI projects, ensuring timely delivery and quality control from requirement definition through deployment.
Coaching/Team Management: Provide guidance and mentorship to junior analysts on best practices and data standards.
Process Improvement: Champion data governance best practices and seek opportunities to improve data quality and reporting efficiency.