Director, Data & Analytics Jobs

Restore is looking for an experienced Data leader to play a huge role in building and delivering the first generation of our Hyper Wellness® platform. You will be responsible for the systems that will change millions of people’s lives, outlook on health, and healthspan. Restore is a category creator and we are looking for team members that are obsessed with the consumer experience, mission-driven, and love the challenge of creating a world-changing suite of Hyper Wellness® products that has never existed.
In this role, you will be a part of a culture of diversity, curiosity, openness, accountability, and most of all, a one-team approach to deliver solutions across distributed systems and physical locations. You understand deeply how systems relate to each other and will develop a breadth of tools and approaches to solve a broad spectrum of problems.
You will have the opportunity to flex your strategic muscles as you work with cross-functional stakeholders to ensure our data program meets our needs now and support our aggressive growth far into the future. You’ll be driving the creation of our foundational data platforms and building the insights our team and franchisees need to operate effectively and efficiently so they can keep delivering a world-class customer experience at scale.
Key Responsibilities

• Develop and maintain data integration pipelines using tools such as DBT and Airflow
• Collaborate with all functions of the company to ensure data needs are addressed and the required data is modeled and available to analysts and end-users
• Collaborate with C-suite executives and other organizational leaders to understand their data needs and provide strategic guidance on data engineering initiatives that align with business goals
• Develop and maintain ETL processes to extract, transform, and load data from various sources into the data warehouse
• Facilitate the establishment and execution of the roadmap for data and analytics, supporting the overall strategy set by our product roadmap
• Monitor and optimize data infrastructure performance, including data pipeline latency, data processing time, and query performance
• Collaborate with cross-functional teams, including data analysts, data scientists, software engineers, product managers, and business stakeholders, to ensure data needs are addressed and the required data is modeled and available to analysts and end-users
• Develop and enforce data governance policies and ensure data accuracy, consistency, and security
• Develop and maintain data warehousing solutions using cloud-based technologies such as SnowFlake and BigQuery
• Lead internal and external engineering resources, providing direction on requirements, architecture, and prioritization of data engineering projects to ensure timely delivery of high-quality solutions
• Develop and maintain reporting solutions to enable data-driven decision-making, using reporting tools such as Tableau
• Develop and maintain tagging solutions using Google Tag Manager to enable effective tracking of user behavior on the company's digital platforms
• Stay up-to-date with industry trends and best practices in data engineering and apply them to improve the company's data infrastructure and processes
• Design and implement data transformation pipelines to clean, normalize, and enrich data in the data warehouse
• Balance short term and long term needs to ensure that the architecture can scale and evolve accordingly
• Lead a team of engineers, analysts, and data scientists to deliver the solutions that fulfill business information needs and align with company goals

Requirements

• Strong experience with cloud-based data warehousing technologies such as SnowFlake and BigQuery
• Exceptional problem-solving skills, ability to work comfortably and collaboratively in a cross-functional setting
• Excellent communication, collaboration, and leadership skills
• Strong manager with focus on career and professional development for team members
• Strong project management skills. Ability to set priorities and consistently deliver under ambiguity
• Strong understanding of data governance, data security, and data privacy best practices
• Highly proficient programming skills in SQL and Python
• Passionate about data and wants to build and implement best practices
• Player/coach that fosters a culture of continuous improvement and learning
• 5+ years managing a high performing team, preferably leading an analytics team or data science function
• Operates with optimism and understands how to build and motivate a high performing team
• Experience with Google Analytics and Google Tag Manager
• 7+ years of experience in data engineering, data warehousing, data integration and data transformation

Benefits

• 401k retirement plan with vested employer match
• A competitive salary plus bonuses
• Fun, wellness-focused work environment
• Flexible schedules
• Free and discounted services
• Medical, dental, vision, disability and life insurance within 30 days
• Unlimited PTO
• Casual dress code