Senior Data Analyst, Sales Analytics

We are seeking an experienced and highly motivated Senior Data Analyst to own and drive the end-to-end analytics function for our Sales organization. This person will bridge business needs and technical implementation, turning complex data into actionable insights and driving scalable reporting solutions. You will partner cross-functionally with Data Engineering, Revenue, Finance, Incentive Planning, and BI platform teams to ensure that our data infrastructure, reporting systems, and analytical processes are robust, accurate, and continuously improving.

Key Responsibilities

· Lead the full-cycle Sales analytics function, including requirements gathering, large-scale data analysis, KPI development, and the design and delivery of impactful dashboards and reports.

· Design, develop, and maintain critical Sales performance dashboards and KPIs, with a focus on usability, scalability, and data integrity.

· Leverage Apache Airflow for managing data pipelines, and use API integrations to enrich data sources, automate data workflows, and expand reporting capabilities.

· Own and enforce data quality standards by implementing rigorous data validation, transformation logic, and anomaly detection practices.

· Conduct detailed data investigations to uncover trends, surface root causes, and develop actionable business insights.

· Translate complex analytics into clear, compelling narratives through data storytelling, visualizations, and presentations tailored to business and executive stakeholders.

· Drive efficient data extraction and transformation strategies across multiple sources (cloud and on-prem), collaborating with Data Engineering to maintain high-scale, performant data infrastructure.

· Act as a global analytics lead, aligning priorities across regional teams, Tableau platform owners, and Data Engineering, ensuring consistency and scalability of analytics assets.

· Partner with Engineering to enhance the Sales data mart and enterprise data warehouse, including development of new data models and enrichment layers.

· Contribute to the design and optimization of ETL pipelines, identifying opportunities for automation, improved performance, and increased reliability.

· Collaborate closely with Finance and Revenue teams to perform monthly revenue reconciliations, ensuring consistency between operational metrics and financial reporting.

· Manage Tableau environment responsibilities, including permissions management, user access provisioning, dashboard governance, and coordination with Tableau Admins.

· Build strong cross-functional partnerships with Sales, Marketing, Customer Success, Delivery, Service, Finance, Legal, and Data Engineering, acting as the analytics thought partner across the business.

· Proactively manage change in a dynamic environment by partnering closely with Product Owners and Program Managers to understand shifting business processes or systems, ensuring analytics solutions adapt smoothly without disrupting decision-making or operational continuity.

Qualifications

· 5+ years of experience in Data Analytics, Business Intelligence, or Data Science roles, with a focus on Sales analytics or Finance Analytics.

· BS/MS in a quantitative discipline: Analytics, Computer Science, Statistics, Engineering, Mathematics, or a related field.

· Expert-level SQL skills, with demonstrated ability to manipulate, join, and analyze complex, large-scale datasets.

· Familiarity in Python or R for data analysis, statistical modeling, and automation.

· Fluency in Tableau, including advanced dashboard development, permission/access control, with close collaboration experience with Tableau Server Admin teams.

· Proficiency in data visualization best practices, creating intuitive and actionable dashboards for a wide range of stakeholders.

· Strong hands-on experience with Apache Airflow, especially in orchestrating workflows and managing ETL jobs.

· Experience with API integration for data extraction, enrichment, and automation use cases.

· Deep understanding of Salesforce (SFDC) data models and their use in tracking the full customer lifecycle.

· Familiarity with data mining, data modeling, mapping, and integration across diverse data environments (cloud and on-prem).

· Proven experience conducting financial data reconciliation and partnering with Finance teams to align on definitions, metrics, and validation protocols.

· Excellent written and verbal communication skills, with the ability to distill complex data into compelling stories for both technical and non-technical audiences.

· Demonstrated success in agile environments, with experience using project management tools like JIRA.

· Demonstrated ability to manage through change by building strong, trusted relationships with Product, Program, and Engineering stakeholders, and adapting analytics solutions to evolving business and system landscapes.