Senior Manager, Data Analytics

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead and cultivate teams of Analytics Engineers, Data Analysts, and Business Intelligence developers.

• Formulate and implement the enterprise analytics strategy.

• Collaborate with business leaders to pinpoint reporting and analytics priorities.

• Provide executive dashboards, operational scorecards, and self-service analytics solutions.

• Set up enterprise reporting standards, KPIs, and business metrics.

• Ensure data quality, consistency, and governance across analytical platforms.

• Create scalable semantic models and curated datasets for business users.

• Promote the adoption of self-service BI capabilities.

• Work with Data Engineering to define enterprise data models and reliable data sources.

• Convert complex business inquiries into quantifiable analytical solutions.

• Direct the prioritization, planning, and execution of analytics initiatives.

• Mentor analytical talent and encourage a culture of curiosity, continuous improvement, and business collaboration.

• Develop executive dashboards and enterprise KPI scorecards.

• Create trusted semantic data models for self-service analytics.

• Design business intelligence solutions that aid strategic decision-making.

• Deliver operational reporting across various enterprise business functions.

• Establish analytics governance and enterprise metric standards.

• Create data products that enable business teams to make quicker, more informed decisions.

⛳️ Requirements

• Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, Business Analytics, or a related field.

• Over 10 years of experience in analytics, business intelligence, or data platforms.

• More than 5 years of leadership experience managing analytics teams.

• In-depth understanding of dimensional modeling and data warehousing concepts.

• Advanced expertise in SQL.

• Experience with enterprise BI platforms such as ThoughtSpot, Power BI, Tableau, Looker, or similar tools.

• Proven experience in building executive dashboards and operational reporting.

• Strong knowledge of KPIs, metrics, and business performance measurement.

• Familiarity with cloud data warehouses such as Snowflake, BigQuery, or Redshift.

• Experience collaborating with Engineering, Product, Finance, and Operations teams.

• Excellent communication and executive presentation skills.

• Strong skills in project planning, prioritization, and stakeholder management.

• Experience with Python or R for advanced analytics.

• Background in statistical analysis and forecasting.

• Experience supporting AI and machine learning initiatives.

• Proficiency with semantic modeling platforms.

• Experience in experimentation and A/B testing.

• Familiarity with AI-assisted analytics tools.

• Background in media, payroll, financial systems, or enterprise SaaS.

🏝️ Benefits

• Medical.

• Dental.

• Vision.

• PTO.

• Health and wellness programs.

• Employee discounts.