Jobs · Virginia

Analytics and Insights Engineer II

Deloitte · Richmond, VA · 2 wk ago
Hybrid$91k–$180k/yrFull-time

About the role

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We enhance customer experiences and drive sustained growth and customer value creation and capture through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. The team consists of strategists, data scientists, operators, creatives, designers, engineers, and architects who balance business strategy, technology, creativity, and ongoing managed services to solve the biggest problems affecting customers, partners, constituents, and the workforce. Recruiting for this role ends on December 18, 2026.

Responsibilities

  • Leverage advanced data analytics and visualization tools to map, analyze, and optimize end-to-end customer journeys, identifying key pain points and opportunities to drive enhanced experiences and business growth.
  • Uncover client's key business questions, design and execute analysis to address those questions, and be able to demonstrate the impact of recommendations across paid, owned, and earned channels.
  • Bring a strong background with proven experience in marketing, advertising and commerce analytics, audience discovery and segmentation, measurement, modeling strategy, and data quality.
  • Bring extensive knowledge across paid, owned, and earned, with a focus of analytical expertise in one or more of the following: omnichannel, media (display, paid search, programmatic, paid social), organic social, social listening/trend identification, site, app, email/Push/SMS - CRM, or voice of the customer/brand studies.
  • Dive into large datasets, uncovering insights, and providing impactful recommendations to clients leveraging tools like Google Analytics, DV360, Ads Data Hub, Adobe Analytics, Salesforce/SFMC and more.
  • Transform data into actionable insights through strong storytelling with data designed for executive-level audiences by connecting the dots across channels through data to provide a holistic view of marketing/advertising/commerce efforts.
  • Create dashboards via Tableau, Datorama, Data Studio, Looker, or other similar data visualization tools.
  • Support the vision and creation of measurement plans, testing plans, tagging strategies, modeling strategy, and experimentation/A/B testing deployment.

Qualifications

Required:

  • 2+ years of experience in managing digital marketing/advertising analytics, including marketing mix model and/or attribution solutions for complex, large-scale clients.
  • 1+ years of Adobe Customer Journey Analytics (CJA) experience.
  • Bachelor's degree or equivalent professional experience.
  • Ability to travel 30%, on average, based on the work you do and the client and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Proficient in defining analytics, modeling, tagging strategies, and developing comprehensive measurement and testing plans.
  • Strong command over analytical methodologies for optimizing customer datasets and digital campaigns.
  • Advanced skills in Excel, SQL, Tableau, or other data analysis tools, with a high level of competence in digital analytics and tag management solutions.
  • Exceptional project management skills, with a proven track record of managing work and meeting deadlines in a highly organized and autonomous manner.
  • Excellent communication, leadership, and team collaboration skills, coupled with a strong executive presence for client-facing interactions.

Pay

The wage range for this role is estimated at $91,100 to $179,500. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors including individual and organizational performance.

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