Director, Data Analytics

Current•New York, NY

4h•$250,000 - $350,000

About The Position

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. 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.

Requirements

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.

Nice To Haves

Direct experience in the D2C Fintech domain is preferred.
Experience managing distributed or hybrid teams.
Managed and led teams distributed across various time zones.
Expertise in data transformation and modeling.

Responsibilities

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.