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Director Of Analytics Engineering Jobs (NOW HIRING)

Omnicom

Director of Analytics and Insights

New York, NY · Hybrid

Data Science and Analytics As a Director of Analytics/Insights, you will drive business growth through data-driven insights, leading cross-functional teams to develop and execute innovative marketing ...

Current

Director, Data Analytics

New York, NY · On-site

DIRECTOR OF DATA ANALYTICS Current is a leading consumer fintech platform transforming financial ... Collaborate closely with peers across the engineering, analytics engineering, and data science ...

Vendelux LLC.

Head of Analytics

Manhattan, NY · On-site

$200 - $250/hr

As Head of Analytics, you'll own the analytics strategy that informs product decisions, drives ... You'll partner with Product, GTM/Customer Success and Engineering to define success metrics ...

Gabb Wireless

Marketing Analytics Engineer

Lehi, UT · On-site

$100 - $125/hr

... engineering and marketing measurement. This role owns the analytics infrastructure and insight ... You will report to the Director of Analytics and work closely with the marketing team, owning ...

HydroJug

Director of Engineering HydroJug, Inc. -- Systems Team / Engineering Ogden, UT | On-Site | Reports ... Cloud data warehouse experience (BigQuery or equivalent) and ownership of analytics-adjacent ...

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Director Of Analytics Engineering information

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How much do director of analytics engineering jobs pay per year?

As of Sep 9, 2026, the average yearly pay for director of analytics engineering in the United States is $194,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,500.00 and $253,000.00 per year, depending on experience, location, and employer.

What does a director of analytics engineering do?

A Director of Analytics Engineering leads teams responsible for designing, building, and maintaining data analytics infrastructure and solutions within an organization. They collaborate with data engineers, analysts, and business stakeholders to ensure data systems are robust, scalable, and aligned with business goals. This role often involves setting technical strategy, overseeing data architecture, managing teams, and ensuring data quality and governance. Additionally, Directors of Analytics Engineering help drive data-driven decision-making by making data accessible and actionable across the company.

What are the key skills and qualifications needed to thrive as a director of analytics engineering?

To thrive as a Director of Analytics Engineering, you need expertise in data engineering, analytics, and leadership, often backed by a degree in computer science or a related field and significant industry experience. Familiarity with data warehousing platforms (such as Snowflake or BigQuery), ETL tools, cloud infrastructure, and analytics programming languages (like SQL and Python) is crucial. Excellent communication, strategic thinking, and team management skills set outstanding candidates apart. These competencies ensure the delivery of robust data solutions, drive business insights, and foster high-performing technical teams.

How does a director of analytics engineering typically collaborate with data science and business teams?

A Director of Analytics Engineering plays a pivotal role in bridging the gap between technical data teams and business stakeholders. They work closely with data scientists to ensure that analytics platforms and data pipelines are robust, scalable, and meet modeling needs. Simultaneously, they partner with business leaders to translate organizational goals into actionable data strategies and ensure insights are delivered effectively. Regular cross-functional meetings and clear communication are key, as the Director must align technical priorities with business objectives while fostering a collaborative team environment.

Do analytics engineers make good money?

Analytics engineers typically earn competitive salaries that reflect their specialized skills in data modeling, SQL, and data pipeline tools. Compensation varies by experience, location, and industry, but they generally earn above average compared to other data roles. Advanced skills and certifications can lead to higher pay levels.

What cities are hiring for Director Of Analytics Engineering jobs?

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Infographic showing various Director Of Analytics Engineering job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 91% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $194,709 per year, or $93.6 per hour.

Director of Analytics- Attribution & Performance

El Segundo, CA • On-site

Socket.dev
Network Security • 1 - 10 employees
Learn more about Socket.devexternal

$200 - $250/hr

Other

Posted 5 days ago

Job description

Role Summary

The Director, Analytics is a client-facing role responsible for shaping data-driven strategy and advancing modern measurement for an automotive brand. This role will lead attribution and performance measurement strategy, connecting insights to media investment, optimization, and business outcomes. It will transform disconnected measurement outputs into a unified decisioning framework that improves marketing effectiveness and enables smarter growth decisions.

Business Impact
  • Build a unified measurement ecosystem connecting attribution, experimentation, MMM, and performance analytics.
  • Improve media investment decisions through actionable performance intelligence and optimization guidance.
  • Scale learning across campaigns by turning measurement into repeatable business practices.
Key Responsibilities Attribution & Performance Measurement
  • Own the strategy, governance, and evolution of cross-channel attribution and performance measurement.
  • Define the right measurement approach - attribution, experimentation, MMM, platform measurement, or other methods - based on the business question.
  • Translate measurement insights into recommendations for investment, audience strategy, channel optimization, creative, and growth.
Experimentation & Learning
  • Lead the Test & Learn roadmap, converting strategic questions into hypotheses, test plans, success criteria, and analytical outputs.
  • Guide incrementality studies, lift analyses, geo tests, holdouts, and other causal measurement approaches.
  • Operationalize validated learnings through documentation, decision tracking, and scalable adoption across campaigns.
Measurement Frameworks & Benchmarking
  • Develop frameworks that connect business goals, marketing objectives, channel roles, KPIs, and optimization signals.
  • Establish benchmarking and goal-setting methodologies across tiers, campaigns, audiences, channels, and funnel stages.
  • Maintain standards, documentation, and points of view that create consistency in measurement planning and reporting.
Client Leadership
  • Serve as a trusted advisor to marketing, media, and executive stakeholders on advanced measurement strategy.
  • Translate complex methodologies into clear business implications and executive-ready recommendations.
  • Lead measurement discussions, workshops, and planning sessions while managing risks, expectations, and stakeholder alignment.
Cross-Functional & Team Leadership
  • Partner across analytics, media, activation, operations, creative, account, and technology teams to align measurement with business needs.
  • Collaborate with external partners, platforms, and measurement providers to validate methodologies and drive execution.
  • Lead through influence, creating clarity across teams with diverse priorities, technical depth, and definitions of success.
  • Coach and develop talent while fostering curiosity, accountability, analytical rigor, and continuous improvement.
Qualifications Required
  • 8+ years in marketing analytics, media analytics, measurement science, data science, or a related discipline.
  • Hands-on experience with attribution, incrementality testing, experimental design, MMM, or performance modeling.
  • Strong executive communication skills, with the ability to simplify technical concepts while preserving methodological integrity.
  • Bachelor's degree in statistics, economics, econometrics, mathematics, data science, marketing analytics, business, or equivalent experience.
  • Experience with media and measurement platforms such as ad servers, DSPs, analytics platforms, clean rooms, or identity graphs.
Preferred
  • Agency or client-side experience in a senior measurement or analytics leadership role.
  • Familiarity with Python, R, SAS, SQL, or equivalent analytical environments.
  • Experience developing learning agendas, measurement frameworks, benchmarks, or methodology points of view.
  • Master's degree in a quantitative, analytical, or business-related discipline.
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