Senior Data Analyst, Salesforce

• Minimum of 4 years experience as a data analyst or related role
• Bachelor's degree in Computer Science, Data Science, Statistics, or related field
• Proficient in Analytic SQL
• Expert with Tableau Desktop
• Strong comprehension of data modeling concepts
• Strong communication and problem solving skills

Desirable

• As a Senior Analyst on the REWS Data Insights team you will be part of a dynamic, distributed team building and supporting the strategy and operational needs of our real estate organization and Salesforce employees
• You will work closely with stakeholders across the organization using data to identify opportunities to improve our performance, monitor our services, propose solutions, and influence our strategy
• You will champion using data in our day-to-day operations to improve our operational efficiency
• You will work in a the Chicago or Indianapolis office an average of 3 days per week
• Tableau Development & Product Management:
• Build for Insight: Design, develop, and maintain visually compelling and interactive Tableau dashboards that are not just reports, but intuitive products that answer key business questions
• Own the Product Vision: Act as the subject matter expert and primary point of contact for your business stakeholders. Go beyond fulfilling requests to deeply understand their objectives and challenges
• Develop and Manage the Roadmap: Define, manage, and communicate a strategic analytics product roadmap that aligns with key business priorities. Proactively build the business case for new dashboards, tools, and data enhancements. Move the team from a reactive backlog queue to a proactive, roadmap-driven function
• Lead the Product Lifecycle: Shepherd analytics projects from initial discovery and requirements gathering through to development, launch, and post-launch iteration, ensuring solutions meet and exceed stakeholder expectations
• Optimize for Experience: Ensure the accuracy, performance, and usability of all data products, creating a seamless and reliable experience for your users
• Data Proficiency:
• Create and implement complex calculations using Level of Detail (LOD) expressions, table calculations, and parameters to unlock deeper, actionable insights and enable advanced analysis
• Utilize advanced SQL to query, analyze, and manipulate large datasets to extract meaningful insights
• Leverage a deep understanding of the team’s data models and data lineage
• Collaborate with analytics engineers to optimize data models and troubleshoot data quality issues
• Perform data validation and auditing to maintain high standards for all analytical work