GTM Data Analytics Engineer

Florence Healthcare•Atlanta, GA

About The Position

Florence software advances cures by helping the world’s most important research sites do their best work. Our solutions are now used by over 30,000 research teams in 70 countries around the world—we’re the most widely deployed site workflow tool in the industry. By the end of the decade, we’ll double the pace at which new medicines get to market by doubling the output of trial site teams. To date, we were named a Deloitte Fast 50 business, G2 Category Leader, an Inc. & AJC best place to work, and an Inc. 5000 company five years in a row. At Florence, we are committed to make the world a better place by accelerating research while providing an environment for our employees where they can be happy in their lives, enjoy their jobs, and grow. What You’ll Bring to The Team: Reporting directly to the Sr. Director of Finance & Analytics, the GTM Data Analytics Engineer 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 4 years in Data & Analytics roles, with a problem-solving mindset and strong drive and consulting experience – Pharma/SaaS experience is a plus.
Strong practical experience in dimensional modeling techniques (snowflake schemas, star schema, fact constellations) and implementing data governance principles (ownership, quality, integrity, transparency, accessibility).
Strong experience with data lake solutions (Snowflake), CRM (Salesforce), and ETL (dbt, Fivetran)
Proven ability to engage with business stakeholders, gather non-technical requirements and translate them directly into technical data solutions and KPIs.
Proficiency in writing/optimizing SQL queries as well as familiarity navigating/structuring data including Familiarity with one major BI visualization platform (Power BI / Tableau / Looker), including report design, dashboard development, and understanding the visual flow and progressive disclosure concepts.
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 are a plus.

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.
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.
Discovery: Lead discovery sessions with stakeholders across finance, operations, and marketing to elicit, document, and prioritize requirements.
Data Strategy: Partner with business leaders to translate strategic objectives and information needs into measurable KPIs.
BI Platform: Familiar with core BI tools (Tableau), developing advanced calculated fields using languages like DAX.
Analysis: Ability to conduct deep-dive statistical and descriptive analysis to identify trends, anomalies, and opportunities for business improvement.
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.