Senior Data Analytics Engineer Jobs in Provo, UT

mophie is the most trusted name in mobile power — a brand built on fifteen years of innovation inside the Apple ecosystem. As a ZAGG brand, mophie is entering an ambitious new chapter: rebuilding its direct-to-consumer business from the ground up and scaling a performance marketing engine that demands clean, reliable, and actionable data at every level. This hire is the person who makes that possible.

mophie'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.

• 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 amp; 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.

• 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 amp; 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 amp;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.