Associate Director, Digital Marketing Analytics

Job Description

Job Description

CourtAvenue is a company of industry experts accelerating digital transformation for the world’s most ambitious companies.

At CourtAvenue, you will be a part of a culture powered by entrepreneurs, technologists, data scientists and the habitually restless dedicated and energized to design products and services that transform businesses while optimizing them for growth. You will have the opportunity to learn and grow within a culture that values innovation while focusing on redesigning the experience between consumer and service (or product) by leveraging a fluid, seamless, and thoroughly transparent engagement.

The Associate Director, Digital Marketing Analytics at CourtAvenue is a strategic partner to clients and internal teams — not just a producer of dashboards and reports. This person is comfortable using digital marketing analytics platforms, as well as digging into raw data that can be messy and/or unconnected, to create clear stories that drive decisions. They are equally comfortable digging into raw data, challenging assumptions in client meetings, and translating analytics for stakeholders who do not have a data background.

This role is being created to provide senior-level analytical leadership and strategic presence on a key West Coast client engagement. The Associate Director, Digital Marketing Analytics will work directly with the Chief Data Officer to elevate how CourtAvenue delivers data to clients — moving the function beyond reporting and into strategic counsel, data quality stewardship, and influence on the broader engagement.

The right candidate is someone who can be in the weeds with data to answer day-to-day team and client needs, has presented to client leadership, has navigated situations where partner agencies or third parties require close coordination to maintain data integrity, and has the judgment to push back, reframe and ask better questions, and surface key insights that drive action. 

Key internal team stakeholders include Business Innovation, Creative, User Experience, Strategy and Technology. Digital Marketing responsibilities will span coverage of, but not limited to, website, mobile applications, CRM, digital media, D2C commerce and exploring GEO/AEO measurement frameworks.

Responsibilities

Strategic Client Partnership

• Serve as the senior data voice on a major West Coast client account, participating in client strategy meetings, planning sessions, and executive-level reporting

• Translate complex analytical findings into clear narratives for client stakeholders who do not have a data background — focusing on the "so what" and the recommended action, while being able to support and defend questions on methodology

• Anticipate client questions before they are asked; come to meetings with insights, not just data

• Build trust with client leadership through consistent, accurate, and well-contextualized reporting

Data Quality and Cross-Partner Stewardship

• Take ownership of data quality across sources — including data delivered by other agency partners, third parties, and client-side teams

• Identify when incoming data is incomplete, inconsistent, or incorrect, and lead the conversation to fix it at the source rather than working around it. This may include diagnosing tag-level issues and recommending data flows

• Establish processes and documentation that improve data reliability over time

• Be the person who catches issues before they become client-facing problems

Analytics Leadership

• Identify, track, and interpret KPI trends across multiple digital touchpoints — such as website and app performance, email, digital media, ecommerce, social media, and CRM

• Develop benchmarks, goals, and forecasts grounded in first- and third-party research

• Build and maintain dashboards in Looker Studio, PowerBI, Tableau, or client-preferred tools — and know when a dashboard is the right answer versus a custom analysis

• Proactively monitor performance through automated alerts and curiosity-driven exploration; surface opportunities and issues outside of regular reporting cadence

• Develop bespoke analytical approaches when off-the-shelf solutions don't fit the question

• Explore AI-assisted approaches to analysis, including the usage of agents to automate tasks

Cross-Functional Collaboration

• Partner with strategy, user experience, creative, media, and technology teams to ensure analytics inform — and are informed by — the broader engagement

• Coach junior analysts and account team members on how to interpret data, ask better analytical questions, and present insights with confidence

• Serve as a senior data resource for the Chief Data Officer on account strategy, capability development, and account + team growth

Requirements

• 7+ years in a data or analytics role, with at least 2 years in a senior or lead-level capacity

• Requires strong expertise with web analytics platforms, including Google Analytics 4, and at least moderate expertise with tagging platforms, such as Google Tag Manager

• Expertise with at least one business intelligence dashboard tool, such as Looker / Data Studio, Tableau, PowerBI or others

• Demonstrated experience presenting to and influencing senior client stakeholders, including non-technical audiences

• Proven track record of working with messy, inconsistent, or incomplete data — and of leading the work to improve quality at the source

• Experience working with or alongside other agency partners, vendors, or client-side teams in a complex data environment

• Strong working knowledge of digital marketing data: website and app analytics, paid media, email, CRM, ecommerce, and social

• Excellent written and verbal communication skills — particularly the ability to explain technical concepts to non-technical audiences

• Highly capable in Excel/Google Sheets and PowerPoint/Google Slides for analysis and storytelling

Preferred Qualifications

• Prior agency or consulting experience

• Experience within automotive, retail, or similarly data-rich client categories

• Data engineering capabilities, including exposure to extract, transform and load (ETL) processes for relevant datasets. This may include prior usage of tools such as Supermetrics, Tapclicks or Fivetran

• Digital Experience Analytics tools, such as ContentSquare or Quantum Metric

• Familiarity with CDP platforms and customer data unification

• Exposure to AI/ML approaches and generative AI tools applied to analytics workflows

Work Environment

• Our organization follows a structured-hybrid work model, where employees work in an office environment in the middle of the week and remotely on Mondays and Fridays.

• Candidates for this position will ideally be located near one of our west-coast offices:

o   San Diego, CA

o   Los Angeles, CA

• Candidates located in Irvine, CA, Cincinnati, OH, Minneapolis, MN, Chicago, IL, Dallas, TX, Austin, TX or Bentonville, AR will also be considered.

Final compensation determined by total related experience and geography.

What sets the right candidate apart? This right candidate will be curious to explore data on their own, proactively share insights and ideas with the team, develop and maintain strong trust with teams through accurate data and a strong working knowledge of back-end systems and has previously worked in similar agency environments. Experiences that showcase technical know-how with storytelling and a collaborative spirit are strongly preferred.

 

 

CourtAvenue, INC. is an Equal Opportunity Employer . CourtAvenue recruits qualified applicants without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, status as a protected veteran, or genetic information.

CourtAvenue, INC. participates in the E-Verify program . In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form (I-9) upon hire.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.