Data Analyst, Commercial
Fresha
AirflowCloudETLPythonSQL
Director, Data Services and Analytics
ConnectWise
full-time
Posted on:
Location Type: Office
Location: Tampa • Florida • 🇺🇸 United States
Visit company websiteJob Level
Lead
Tech Stack
AirflowAzureERPSQL
About the role
- Lead the architecture, development, and governance of ConnectWise’s enterprise data warehouse, pipelines, integrations, and analytics platforms.
- Ensure a modern, scalable data infrastructure with Snowflake at its core, supported by best-in-class tools (dbt, Airflow, Fivetran, ADF).
- Oversee system performance, data quality, and reliability for critical business operations.
- Build and operationalize AI/ML models that improve forecasting, customer insights, partner retention, and operational efficiency.
- Partner with Finance, Product, and Operations to deploy predictive and prescriptive analytics that drive measurable impact.
- Stay at the forefront of emerging tools such as Google Vertex AI, Azure ML, or Palantir Foundry to expand capabilities.
- Connect strategic business cases to data execution — translating executive priorities into measurable data initiatives.
- Build financial and operational models tied to SaaS KPIs (GRR, NRR, LTV/CAC, churn analysis, pricing elasticity).
- Partner with FP&A and Corporate Strategy to ensure insights directly support growth, profitability, and long-term value creation.
- Build, mentor, and scale a high-performing team of data engineers, analysts, and data scientists.
- Act as the executive thought partner for data strategy, influencing the ELT and board-level discussions with fact-based insights.
- Establish data as a competitive advantage and cultural foundation across the company.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Finance, or related field; advanced degree preferred.
- 10+ years of progressive experience in data, analytics, or related functions, with at least 5 years in SaaS or technology businesses.
- Deep expertise in Snowflake, SQL, Power BI, and dbt.
- Strong knowledge of Airflow and other modern orchestration tools; experience with ML platforms (Vertex AI, Azure, Palantir Foundry) preferred.
- Demonstrated success building and scaling enterprise-grade data platforms that integrate multiple data sources (ERP, CRM, billing, product telemetry, etc.) into a single source of truth.
- Hands-on experience designing and optimizing data models for both financial analysis and SaaS operational metrics.
- Proven track record implementing AI/ML models that deliver measurable business outcomes (e.g., churn prediction, pricing optimization, forecasting).
- Strong grounding in SaaS business models and metrics; ability to translate between technical execution and strategic financial impact.
- Excellent leadership, communication, and storytelling skills — able to distill technical complexity into actionable insights for executives and non-technical stakeholders.
- Executive presence with the ability to influence at all levels, from technical teams to board-level discussions.
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data architecturedata governancedata warehousedata pipelinesdata analyticsSQLAI/ML modelsdata modelingpredictive analyticsprescriptive analytics
Soft skills
leadershipcommunicationstorytellinginfluencingmentoringcollaborationstrategic thinkingproblem-solvingexecutive presencetranslating technical complexity
Similar jobs on JobTailor
Director of Engineering — Data, Automation & Analytics
ALT
AirflowAWSETLPythonSQLTableauTerraformVault
Data Scientist
Affinaquest
AirflowAzureJavaScriptNumpyPandasPythonScikit-LearnSQLTableau
Senior Manager, Analytics Engineering
Coinbase
AirflowETLSQL
Vice President, Marketing and Partnerships
NucleusTeq
AirflowAWSAzureCloudKubernetesSFDCSQLTypeScript