mophie Director, Analytics

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

This 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.