Director, Growth Journey Data & Analytics

About the Role

Key Responsibilities

• Define the team's analytics strategy in partnership with leadership across the organization, including tools, methodologies, staff mix, and project priorities.
• Develop and implement best practices to support data and analytics projects, ensuring consistency and standardization of data usage and analytics practices.
• Drive business stakeholder buy-in for data consumption, operationally and analytically.
• Recruit, train, coach, develop, and retain staff to build bench strength and motivate high performers.
• Oversee the construction of predictive models, data pipelines, and analytics workflows to support operational and analytics objectives, contributing to their development as needed.
• Work with partners to translate business needs into technical plans, identify available data, communicate findings, and develop implementation strategies.
• Provide consulting support to ensure conformance to policies, procedures, and compliance requirements.
• Identify internal and external data sources, construct analytical databases, and develop data pipelines to enhance business performance.
• Discuss data transformation, integration, and reporting requirements with technical and non-technical audiences.
• Mentor and train team members on statistical methods, tools, and data asset development.

Requirements

• Bachelor's degree required; Master's degree in Information Technology, Mathematics, or Statistics preferred.
• Minimum of 8+ years hands-on experience as a Data Engineer, BI Analyst, or Data Scientist.
• Proven ability to develop, coach, and lead technical staff.
• Deep experience with analytics programming languages such as SQL, R, or Python.
• Deep experience with modern BI tools like Tableau, Alteryx, PowerBI, or equivalent.
• In-depth understanding of data profiling, statistical analysis, and data modeling concepts.
• Experience extracting, loading, and leveraging data in data warehouses, transactional databases, object stores, and API environments.
• Good understanding of data architecture principles and infrastructure requirements across on-prem and cloud platforms.
• Strong problem-solving, programming, and project management skills.
• Excellent ability to interpret complex information, decompose analytical and technical problems, and present simple business solutions.
• Ability to think conceptually, handle ambiguity, and make thoughtful recommendations.
• Excellent communication skills working with all levels of corporate and external contacts.

Nice to Have

• Experience with emerging analysis methods and data tooling.
• Experience in transforming business processes and customer experience through analytics.

Qualifications

• Bachelor's degree (required).
• Master's degree in Information Technology, Mathematics, or Statistics (preferred).
• 8+ years of relevant experience in data engineering, BI analysis, or data science.

Benefits & Perks

• Competitive salary range of $109,100.00-$224,000.00 based on skill, location, and experience.
• Health, vision, and dental benefits.
• Short & long-term disability insurance.
• Performance-based incentive plans.
• Paid time off including volunteer time.
• 401(k) retirement plan with employer match up to 5% and additional 4.5% contribution.
• Additional benefits subject to plan terms.