Responsibilities

• Reporting automation and AI enablement: Build, automate, and maintain recurring executive reporting, including the monthly business update, OKRs, staffing levels, and employee scorecards, with an emphasis on reusability and auditability.
• Leverage AI/LLM capabilities (e.g., automated narrative summaries, metric reconciliation assistants, anomaly detection prompts) to reduce manual effort and accelerate time to insight.
• Establish quality checks, data lineage, and documentation for all automated reporting assets.
• Scorecards and KPI governance: Design and operationalize partner and employee scorecards with clear KPI definitions, owners, and update cadences.
• Implement data validation rules and monitoring to ensure accuracy and consistency across ~30+ existing dashboards and new assets.
• Tableau ecosystem integration and optimization: Connect and harmonize data from Marketing Connect and adjacent tools (e.g., AEM, Smart Analyzer) to expand the reporting foundation into an integrated performance view.
• Standardize dashboard templates and self‑service assets to reduce duplication and improve ease of use.
• User adoption, education, and change management: Stand up a formal user education program—training materials, office hours, and role‑based guides—to grow adoption beyond managerial users to Marketers and Relationship teams.
• Launch a regular communications series to announce new capabilities, preview the roadmap, and share tips and best practices that encourage consistent usage.
• Stakeholder engagement and delivery: Partner with Marketing, Operations, Analytics, and Technology stakeholders to gather requirements, prioritize enhancements, and ensure solutions align to business goals.
• Track and report adoption metrics (e.g., active users, time‑to‑insight, dashboard engagement) and use feedback to iterate and improve.

Requirements

• Bachelor's degree in a quantitative, business, or related field, or equivalent practical experience.
• 4+ years of experience in analytics, reporting, business intelligence, or operations within marketing or a related domain.
• Proficiency with: SQL for querying and transforming data.
• Proficiency with Alteryx and Tableau for dashboard development, publishing, and usage monitoring.
• At least one scripting language (e.g., Python) for automation and data workflows.
• Strong understanding of data modeling and ETL concepts; experience working with relational data sources and joining data across multiple systems.
• Demonstrated ability to automate recurring reporting workflows and apply rigorous data quality controls.
• Excellent communication skills with a track record of translating data into clear, actionable insights for non‑technical audiences.
• Experience delivering training, building user guides, or leading change‑management initiatives to drive analytics adoption.
• Experience with dashboard publishing and usage monitoring in a marketing analytics context.

Preferred

• Experience integrating marketing and content platforms (e.g., Marketing Connect, AEM, Smart Analyzer) into BI pipelines.
• Hands‑on use of AI/LLM tools for report generation, text summarization, or anomaly detection within analytics processes.
• Familiarity with KPI frameworks for OKRs, staffing capacity, and performance scorecards.
• Exposure to Agile delivery and backlog management for analytics/BI workstreams.

Benefits

• We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location.
• Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
• We also offer a range of benefits and programs to meet employee needs, based on eligibility.
• These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.