Director of Data Analytics, Current

• You are a leader who remains deeply technical
• You are capable of diving into a root-cause analysis, reviewing analysis design and structure, or reading a complex experimental readout alongside your team
• You must be a master storyteller who can translate complex data into compelling narratives that drive adoption and organizational change
• 10+ years of experience in data analytics, including 5+ years in the D2C domain, ideally within high-growth, customer-centric industries
• 5+ years of leadership experience managing managers and overseeing cross-functional or embedded analytics structures
• Demonstrated expert proficiency in SQL and Python, including the ability to independently conduct sophisticated analyses and optimize code for performance enhancements
• Expertise in the design, interpretation, and monitoring of randomized controlled trials (A/B/n testing), encompassing significance testing and statistical inference
• Skilled in developing and interpreting complex, advanced experimental frameworks
• You have a proven track record of using data to change minds and drive strategy. You can tailor your communication to be equally effective with an individual contributor or a C-suite executive
• You are to translate complex data into compelling, structured narratives and actionable insights with ease
• Experienced in designing and implementing dashboards that provide structured and actionable information
• Experience with dimensional modeling, utilizing Kimball methodologies optimized for a modern data ecosystem
• You can find the needle in the haystack, using root-cause analysis to turn ambiguous data into clear business opportunities
• Built and maintained scalable analytics infrastructure, collaborating with Product, Engineering, and Finance teams to define success metrics and validate hypotheses
• Advanced degree in a quantitative field (Statistics, Economics, Computer Science, etc.) or equivalent practical experience

Desirable

• We are seeking a high-caliber, hands-on Director of Data Analytics to lead and scale our functional analytics organization
• In this role, you will oversee analytics teams embedded across various departments, ensuring that data-driven insights are at the heart of every strategic decision at Current
• As a functional leader, you will be the guardian of analytical excellence
• You will partner with department leads to align on high-level strategy while working closely with your embedded analytics leaders to ensure they are following established frameworks and rigorous data processes
• Lead the analytics function across the organization, ensuring consistency in methodologies, toolsets, and quality standards across all embedded teams
• Work closely with Department Leads to align analytics roadmaps with broader business goals and P&L objectives
• Establish and monitor the adoption of standardized processes for experimentation, data modeling, and reporting. Ensure every team follows Current’s best practices for data trust and integrity
• Act as an expert to structure and guide deep dive exploratory, root-cause analyses and business cases
• Be ready to get hands-on with data to solve the company's most complex or ambiguous problems
• Actively participate in formal reviews for RFCs, experimental designs, and learning briefs. Provide critical oversight on success metrics and the interpretation of complex test results
• Manage the performance, career tracks, and professional growth of Analytics Managers and Leads. Serve as a mentor to elevate the technical and storytelling bar of the entire org
• Actively manage and oversee team bandwidth and prioritize high-impact initiatives
• Step in to lead work streams directly if a Lead is unavailable or if a project requires senior-level intervention
• Develop and expand the analytics organization to support and keep pace with business growth
• Drive the adoption of a data-driven culture by delivering powerful insights and narratives to executive leadership that influence the company’s trajectory
• Collaborate closely with peers across the engineering, analytics engineering, and data science organizations to advance initiatives related to data modeling, experimentation, and analytics