The Opportunitymophie's marketing analytics function is being built from scratch - and this Director is the architect and the builder. The data layer across our ecommerce and marketing channels has real gaps: incomplete tagging, inconsistent attribution, and reporting that does not yet reflect the true performance of the business. The near-term priority is clear: assess what exists, identify what's broken, and build a data infrastructure that gives every marketing team accurate, trustworthy, and decision-ready reporting.
This is a director-level role in both scope and execution. You will not be overseeing a large team or delegating the hard work to others - you will be in the data, designing the solutions, and doing the work alongside a small group of contractors you direct. As the function matures and the infrastructure stabilizes, this role grows with it.
The Director of Analytics serves as a shared resource across marketing teams - ensuring that channel managers, brand marketers, and ecommerce leads all operate from the same clean, consistent data foundation.
Immediate Priorities- Conduct a full audit of the existing data layer across mophie's marketing and ecommerce stack - identifying gaps in tagging, tracking, attribution, and reporting accuracy.
- Deliver a clear, prioritized remediation plan and begin implementation in partnership with the Analytics Engineer and Tagging & Tracking Specialist contractors.
- Establish a unified reporting framework that gives the CMO and marketing leadership accurate, channel-level performance visibility - with contribution margin at the SKU level as a foundational requirement.
- Build the measurement infrastructure that supports mophie's DTC relaunch and iPhone launch window - clean data before the most important commercial moment of the year.
What You'll OwnData Architecture & Infrastructure- Design and own mophie's marketing data architecture - from raw data collection through transformation, storage, and visualization.
- Ensure tagging and tracking is comprehensive, accurate, and maintained across all marketing touchpoints - paid media, email, ecommerce, and organic channels.
- Build and maintain data pipelines that consolidate channel-level data into a single, reliable source of truth.
- Evaluate and implement the right tools for the job - with current stack including GA4, Google Tag Manager, Looker/Looker Studio, and Shopify - and make recommendations for additions or replacements where gaps exist.
Reporting & Insights- Build and own the reporting layer: dashboards, automated reports, and ad hoc analyses that serve channel managers, the CMO, and cross-functional stakeholders.
- Ensure all reporting reflects business performance accurately - not platform-reported metrics in isolation, but true contribution margin, CAC, LTV, and channel efficiency.
- Challenge data that doesn't look right. If a number seems off, it probably is - and this role is responsible for finding out why and fixing it.
- Translate complex data findings into clear, actionable insights that non-technical stakeholders can understand and act on.
Attribution & Measurement- Own mophie's attribution methodology - defining how credit is assigned across channels and ensuring the model reflects the actual customer journey.
- Partner with the Performance Marketing team to move toward incrementality-based attribution over time, reducing reliance on last-click and platform-reported conversions.
- Establish consistent UTM standards, tracking parameters, and data governance practices across all teams and agency partners.
Team & Contractor Management- Direct and manage a small team of contractors: an Analytics Engineer responsible for data pipeline and infrastructure work, and a Tagging & Tracking Specialist responsible for implementation and QA.
- Set clear priorities, review work, and hold contractors accountable to quality and timeline - while remaining close enough to the work to catch issues early.
- Partner closely with the Ecommerce Analyst (an in-house hire to be made) whose focus is SKU-level profitability analysis - ensuring they have the data infrastructure and reporting tools needed to challenge channel managers on margin performance and push for elevation of higher-margin products.
Cross-Functional Partnership- Serve as the analytics resource for all marketing teams - Performance Marketing, Brand, Social, Email/SMS, and Ecommerce - ensuring each function has the data they need to make good decisions.
- Work closely with the Sr. Director of Performance Marketing to align measurement frameworks with paid channel strategy and P&L reporting requirements.
- Partner with Finance to ensure marketing reporting and financial reporting are reconciled - revenue, margin, and cost data should tell the same story across both functions.
- Act as the internal standard-bearer for data accuracy and reporting integrity - if a number is wrong, you find it before someone else does.
What We're Looking ForExperience- 7+ years of experience in marketing analytics, data engineering, or a closely related field - with demonstrated experience building data infrastructure, not just consuming it.
- Proven track record of auditing and remediating broken or incomplete data layers in a real ecommerce or DTC environment.
- Hands-on experience with GA4, Google Tag Manager, and Looker or Looker Studio - you have built in these tools yourself, not just reviewed outputs from them.
- Experience with Shopify or comparable ecommerce platforms and an understanding of how ecommerce data flows from storefront to reporting layer.
- Experience managing or directing contractors and technical resources - setting priorities, reviewing work, and maintaining quality without micromanaging.
- Background in a multi-channel DTC or performance marketing environment - you understand how paid media, email, ecommerce, and organic channels interact and how attribution decisions affect each.
Technical Skills- SQL proficiency - you can write and troubleshoot queries independently without relying on an engineer to pull data for you.
- Working knowledge of data pipeline concepts: ETL/ELT processes, data warehousing, and how raw event data becomes reporting-ready.
- Strong tagging and tracking fundamentals: GTM implementation, event schema design, pixel management, and QA methodology.
- Familiarity with attribution modeling concepts - last-click, data-driven, multi-touch, and incrementality - and practical experience applying them in a real business context.
- Experience with at least one BI or data visualization platform (Looker, Looker Studio, Tableau, Power BI, or equivalent) at a build level, not just a consumer level.
The Intangibles- You are a builder. You are energized by ambiguity and broken systems - not frustrated by them - because you know how to fix them.
- You are deeply curious about data accuracy. When a number looks wrong, you cannot leave it alone until you understand why.
- You communicate clearly with non-technical stakeholders - you can explain what the data says, what it means, and what to do about it without drowning people in technical detail.
- You take ownership of the data layer the way a channel manager takes ownership of their channel - it is your product, and its quality reflects on you.
- You are comfortable being the only analytics leader in the room and confident enough to push back when a reported metric doesn't hold up to scrutiny.
How to ApplyThis role is based at mophie's headquarters in Salt Lake City, Utah and is an on-site position. Remote applications will not be considered.
If you are a data architect who gets their hands dirty, thrives in environments where the infrastructure doesn't yet exist, and wants to build something that drives real business decisions - we want to hear from you.
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