Senior Digital Analytics Engineer

Senior Digital Analytics Engineer

• Contractor · Adobe · PyThon · Analytics engineering
• Remote · Part Time (60-100 hrs/month) · Ongoing · US Central & EST Hours

A media agency that's redefining integrated marketing in the age of AI is looking for an analytics engineer who can create and manage new analytics tools for our growing business. Are you up to the challenge? Read on.

• The Opportunity
• This is a hands-on role for someone who sees analytics engineering as a creative discipline: building the tools, systems, and automation that help marketers know what’s working and what to do next. Knowledge of Python is a must. You’ll be working with established data ecosystems, our proprietary analytics platform, and the tools you yourself will help to create.
• The Senior Digital Analytics Engineer will help enterprise clients design, implement, and improve measurement systems across Adobe Analytics, Customer Journey Analytics (CJA), Adobe Experience Platform (AEP), Adobe Launch, server-side data collection, APIs, tag management, and modern analytics architectures.
• We are looking for problem-solvers who can move from business requirements to technical design and from creative problem-solving to reliable execution. The ideal candidate knows how to make complex systems usable: translating client goals into measurement plans, pressure-testing data, explaining tradeoffs, and providing answers that clients can trust to guide decisions.
• The Senior Digital Analytics Engineer will lead discovery sessions, workshops, solution reviews, and implementation planning with executives, marketers, analysts, developers, and client engineering teams.
• What we offer is a chance to build your reputation inside a growing media agency where innovation is valued and ideas are rapidly translated into meaningful results. You will work with a team that values technical rigor, creative thinking, practical communication, and the kind of systems-minded curiosity that turns complex marketing data into smarter decisions.

• About Acronym
• Acronym is an independent media agency with more than 30 years of experience in search, performance media, analytics, SEO, and integrated digital marketing. We were doing search marketing before Google existed and we’ve continued to lead on innovation and meaningful business outcomes.
• Our clients include leaders in hospitality, luxury, B2B, education, and other verticals where confidence in the numbers and rapid response are essential.
• Acronym doesn’t just look at the metrics but the client’s larger brand and business goals. Our leadership comes from the industry verticals we serve, which means we don’t just know the client culture: we understand what drives revenue. You will quickly learn a great deal about how these businesses operate, because you’ll be living close to the business realities each day.
• Working at Acronym means being part of a team that’s allergic to buzzwords and silo-free. Our team members are encouraged to think beyond the narrow scope of their expertise and understand how paid media, search, SEO/GEO, social, programmatic, analytics, and revenue planning can work together to improve performance. Curiosity is welcomed and rewarded. Innovation is expected. It’s what our clients deserve. It’s why we’re here.
• If this is what you’ve got to offer, we definitely want to hear from you.
• Careers - acronym

Responsibilities

• • Lead digital analytics implementations for enterprise clients across Adobe Analytics, Customer Journey Analytics (CJA), Adobe Experience Platform (AEP), and related Adobe Experience Cloud technologies
• • Translate client business goals into measurement strategies, implementation plans, tracking requirements, and reporting solutions
• • Build and maintain implementations using Adobe Launch, Tealium iQ, Google Tag Manager, and related tag management platforms
• • Develop Python-based automation tools for implementation, QA, reporting, monitoring, data validation, and API-driven workflows
• • Design and implement server-side tracking solutions that improve data accuracy, privacy compliance, and measurement resiliency
• • Connect analytics platforms with CRM systems, CDPs, advertising platforms, and other business applications through APIs and integrations
• • Troubleshoot complex implementation issues and improve data quality, governance, consistency, and operational efficiency
• • Lead client discovery sessions, technical workshops, solution reviews, and implementation planning
• • Explain technical concepts clearly to executives, marketers, analysts, developers, and client engineering teams

Qualifications

• • 5-7+ years of experience implementing and managing enterprise digital analytics solutions
• • Deep expertise in Adobe Analytics and strong experience with Customer Journey Analytics (CJA)
• • Experience implementing Adobe Experience Platform (AEP)
• • Advanced knowledge of Adobe Launch, with working experience in Tealium iQ and Google Tag Manager
• • 4+ years of JavaScript development experience
• • Strong Python skills, including scripting, automation, data validation, API integrations, and workflow optimization
• • Experience with server-side tracking, APIs, data integrations, and modern measurement architecture
• • Experience debugging analytics implementations with tools such as Adobe Experience Cloud Debugger, Omnibug, BrowserStack, or similar QA platforms
• • Working knowledge of privacy, consent management, data governance, and data minimization practices
• • Strong client-facing communication skills, including the ability to lead meetings, explain tradeoffs, and translate technical details into business language
• • Ability to manage multiple client engagements, work independently, and collaborate with internal and client teams

• Preferred Skills
• • Experience working in a digital marketing agency or consulting environment
• • Adobe certifications in Analytics, Customer Journey Analytics, or Experience Platform
• • Experience with cloud platforms such as AWS, Azure, or Google Cloud
• • Familiarity with data warehousing platforms such as Snowflake, BigQuery, or Databricks
• • Knowledge of SQL and advanced data engineering concepts
• • Experience with AI-powered analytics, automation, or data quality solutions

• Contract Details
• • Part-Time Remote Contractor (ongoing)
• • 60–100 hours per month, depending on project needs
• • Must be available during U.S. Eastern Time business hours

Compensation

USD $90–$100 / hour

• Equal Opportunity
• We are an equal opportunity employer and do not discriminate based on race, color, religion, religious creed, sex, sexual orientation, gender, gender identity or expression, age, genetic information, medical condition, physical and/or mental disability (including HIV and AIDS), marital status, citizenship, ancestry, national origin, or military/veteran status, with respect to recruiting, hiring, promoting, and compensating their employees.
• Interested? Apply directly through this posting, or send a note with your résumé and a recent accomplishment you’re proud of. Tell us how you helped the client succeed.