Principal Data Analyst

Power-4; Framingham (MA); Hybrid; USD 95,000 - 130,000; Full time

Job summary

A leading HR Services company is seeking a Principal Data Analyst, Paid Media, to enhance their analytics operations. This role, available hybrid or remote, requires expertise in big data analysis and digital marketing analytics. The ideal candidate will own the analytics cycle, collaborate with media buyers, and ensure accurate measurement of ROI on digital ad spending. Strong SQL skills and experience with Google Tag Manager are essential. Join this emerging team to redefine paid media strategies.

Qualifications

• Fluency in querying, analyzing, and visualizing big datasets.
• Demonstrated history of building production-grade data models.
• Deep expertise in B2B marketing strategy and digital marketing analytics.
• Hands-on expertise with Google Tag Manager and 3rd-party pixel implementations.
• Strong understanding of UTM standards and incrementality testing methodologies.

Responsibilities

• Own analytics and operations for advertising programs.
• Develop multi-touch attribution models and conduct strategic analysis.
• Collaborate with media buyers to optimize performance and ROI.
• Ensure media data foundation is accurate and actionable.

Skills

SQL

Data visualization tools

Digital marketing analytics

Google Tag Manager

Attribution models

Project management

Python

Tools

dbt

CM360

DV360

SA360

Heap

GA4

Marketo

Salesforce

Job description

Our client, a leading Human Resources Services company, is looking for a Principal Data Analyst, Paid Media to join their team. This role is hybrid if local to the Framingham, MA area or remote for those outside the area.

The Opportunity

Join the Business Analytics team, where we sit at the core of the organization, driving strategy and decision-making through data. We are bringing paid media execution & analytics in-house and seeking a Principal Data Analyst to fully own the in-housing of all analytics and ad operations for our Paid Media strategy across search, social, display, and video.

This role will own analytics and ops for advertising programs in Brand, Events, Product, Demand Generation, and ABM and blends deep analytical expertise with hands‑on ad operations, ensuring our media data foundation is accurate, privacy‑compliant, and actionable.

The ideal candidate is intellectually curious, data‑driven, technical, and business oriented. They will own the full cycle of paid media measurement—tagging, tracking, integrations, production‑grade data models & dashboards, insight generation—while working side‑by‑side with media buyers to optimize performance and ROI. Their work will connect platform execution to business impact, improve signal quality, and enable smarter targeting, budgeting, and creative decisions across the organization.

Applicants must have valid permanent work authorization in the U.S. (e.g., U.S. citizen, permanent resident). We are unable to offer visa sponsorship for this role.

What we can offer you:

• The opportunity to fully own in-housing paid media analytics, foundationally resetting the way we measures ROI on our digital advertising spend.
• Direct control over a ground‑up build for our paid media analytics engine. Full ownership over maintaining, expanding, and improving our end‑to‑end infrastructure of data models and dashboards.
• End‑to‑end ownership over ad operations & governance to maximize data quality without reliance on other teams – GTM implementation, UTM governance, KPI definitions.
• The opportunity to join paid media data with the rest of our datasets for comprehensive marketing performance insights.
• Access to cutting‑edge tools and technologies, including cloud data warehouses and visualization platforms.
• Access to granular paid media data to develop multi‑touch attribution models, execute incrementality testing, and conduct ad‑hoc strategic analysis.

The skills you will bring:

• Fluency in querying, analyzing, and visualizing big datasets in a cloud computing environment via SQL and building dashboards using data visualization tools.
• Demonstrated history of building production‑grade data models. Experience with dbt is a plus
• Deep expertise in B2B marketing strategy, digital marketing analytics, and ad operations.
• Strong communication & project management skills and a highly collaborative approach to problem‑solving.
• Hands‑on expertise with Google Tag Manager (events, data layers, custom HTML) and 3rd‑party pixel implementations.
• Strong understanding of UTM standards, attribution models (rule‑based and data‑driven), and incrementality testing methodologies.
• Preferred: Experience with CM360, DV360, SA360 or other bid‑management tools; familiarity with Python or similar scripting for data automation; exposure to MMM concepts and privacy‑focused measurement solutions; relevant certifications such as Google Ads Search, GA4, LinkedIn Marketing Solutions, or Meta Marketing Science Professional.

Achievements:

• Proven success overseeing the operations and analytics of large scale B2B campaigns
• Demonstrated success integrating data across ad platforms, web analytics tools (Heap or GA4), marketing automation (Marketo), and CRM (Salesforce) into a central data warehouse and analytics infrastructure.
• Have successfully collaborated with media buyers by translating analytical findings into clear optimization recommendations with measurable positive impact.
• Developed and executed a measurement and analysis roadmap, leading to measurable improvements in business performance