Responsibilities

• Design and develop dashboards and reports that provide data visibility into KPIs for leadership and business groups.
• Translate business reporting requirements into technical reporting and dashboard specifications.
• Develop data recipes and dataflows within CRM Analytics to support business requirements.
• Establish and promote best practices and standards for dataflow, dashboard, and report/lens development and deployment.
• Perform data analysis, create data samples/prototypes, and produce ad-hoc reports from multiple data sources (ADL, EDW, Salesforce).
• Partner with IT, platform owners, and BI analysts to provide input on project timelines, scope, and risks for commission initiatives.
• Understand system landscape, data repositories, and their interrelationships to drive effective reporting.
• Develop processes to continuously monitor data quality and integrity, identifying and resolving issues.
• Perform extensive data unit testing, quality assurance (QA), and troubleshoot issues in collaboration with cross-functional teams.
• Address and resolve feedback within defined thresholds.
• Provide governance and guidance on best practices for designing and implementing sustainable data-driven analytics solutions.

Preferred Skills & Experience

• Proficiency in CRM Analytics, including dashboard and report design, dataflow development, and data recipe creation.
• Experience with Salesforce and the ability to access and analyze data from ADL, EDW, and other sources.
• Familiarity with Tableau, Salesforce Quip, and Heroku is a plus.
• Strong analytical skills with the ability to translate business needs into technical specifications.
• Knowledge of data quality monitoring, integrity checks, and process improvement opportunities.
• Ability to work cross-functionally with IT, business users, and other stakeholders to ensure seamless data integration and reporting.

Requirements

• Proven experience in developing analytics solutions and dashboards using CRM Analytics.
• Strong problem-solving and troubleshooting skills, with a focus on data accuracy and integrity.
• Excellent communication skills to collaborate effectively with business and technical teams.
• Experience with unit testing, QA, and maintaining high-quality data standards.

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