Director of Analytics

Posted Oct 30

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

📋 Description

• Oversee analytics throughout the organization, encompassing business intelligence, data analysis, and marketing analytics.

• Lead BI engineers and provide guidance to data analysts as dotted-line reports.

• Collaborate with all departments as the analytics leader and report directly to the EVP of Data & Technology.

• Manage the Omni BI platform, dbt semantic layer, data governance, and business glossary.

• Supervise BI release management, intranet analytics content, and the development of a custom Improveit BI application.

• Assist in driving the ERP, including reporting, enhancements, and analytical needs for NetSuite.

• Leverage AI across BI and collaborate with data science to create and implement models.

• Establish BI strategy and roadmap aligned with corporate priorities.

• Convert business requirements into KPIs, data models, and dashboard designs.

• Oversee data access, row-level security, query performance, Snowflake compute costs, licenses, vendors, and renewals.

• Create executive and operational dashboards for Sales, Marketing, Call Center, Operations, Finance, and HR.

• Manage the reporting backlog in Jira with clear priorities.

• Conduct organizational data analysis, identify trends and root causes, and provide recommendations.

• Develop marketing analytics covering cost per inquiry, lead sources, attribution, campaign ROI, and conversion rates.

• Evaluate Salesforce Marketing Cloud and digital campaign performance.

• Develop customer 360 views and actionable segments.

• Analyze markets for potential expansion and create market-sizing, opportunity, and location analytics models.

• Present market and site recommendations to executives and monitor new branches against plan.

• Maintain AI-ready semantic models and business glossary.

• Certify core metrics and take ownership of data governance, lineage, and quality checks.

• Implement version control, code review, development/test/production environments, testing, sign-off, rollback plans, and release notes.

• Enhance self-service analytics through training, enablement sessions, usage tracking, and report retirement.

• Manage, recruit, develop, mentor, and evaluate BI engineers while coordinating analyst priorities.

• Conduct KPI and business reviews with department leaders and transform questions into an analytics roadmap.

• Track metrics such as delivery, adoption, trust, team collaboration, AI utilization, marketing impact, and business impact.

• Deliver initial priorities for the first 90 days, including addressing executive reporting requests, setting team objectives, establishing a reporting intake queue, centralizing intranet analytics content, defining the BI app roadmap, and overseeing marketing analytics.


⛳️ Requirements

• Bachelor's degree in business analytics, information systems, computer science, statistics, or a related field, or equivalent experience.

• Minimum of ten years in analytics or BI, with at least four years managing teams of BI engineers, BI developers, or analysts.

• Proficient in SQL and strong in data modeling.

• Practical experience with a modern semantic layer, such as dbt or LookML.

• Experience in administering a contemporary BI platform; Omni or Looker preferred, Tableau or Power BI considered.

• Hands-on experience with Snowflake; familiarity with Airbyte and dbt pipelines is a plus.

• Direct experience in marketing analytics, including cost per inquiry, multi-touch attribution, channel and campaign ROI, lead quality, and conversion funnels.

• Strong analytical capabilities, including trend and root-cause analysis and basic statistics.

• Experience with market sizing, site selection, or geospatial analytics is highly desirable.

• Familiarity with ERP data, preferably NetSuite, and enterprise systems like Salesforce, Salesforce Marketing Cloud, and Five9.

• Comfortable working in an Agile environment using Jira and Confluence.

• Disciplined in release management, including Git, code review, and CI/CD for dbt and BI content.

• Experience utilizing AI in analytics, including natural-language BI, LLM assistants, or Snowflake Cortex.

• Experience collaborating on predictive models.

• Strong data visualization and dashboard design skills, supported by a portfolio of work.

• Hands-on and current with production SQL, dbt models, dashboards, and analyses.

• Proven leadership skills in hiring, developing, and retaining BI engineers and analysts.

• Experience partnering with leaders across sales, marketing, operations, and finance.

• Outstanding communication skills.

• Equivalent experience may be accepted in lieu of the required bachelor's degree.


🏝️ Benefits

• Highly competitive compensation package with incentive opportunities.

• Performance-based bonus potential.

• Paid vacation, holidays, and sick leave.

• Options for medical and dental coverage.

• 401(k) savings plan with employer matching.

• AFLAC supplemental insurance options.

• Access to advanced technology and business tools.

• Collaborative, results-driven leadership team.

• Significant opportunities for professional growth and advancement.

• Stability of a long-established, award-winning industry leader.

• Ongoing learning, hands-on coaching, continuous training, mentorship, and meaningful career progression.

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