Senior Associate- Analytics

About GALE

GALE is the world’s first and only Business Agency. We bring business strategy to brand storytelling to drive enterprise value. With expertise in strategy, media, CRM, creative, performance marketing, and technology, GALE creates integrated marketing systems and campaigns that grow businesses in significant ways. Founded in 2014, the agency has since been named AdAge’s Business Transformation Agency of the Year and Adweek’s U.S. Media Agency of the Year and has been recognized for its innovative creative at the Cannes Lions.

We work with brands such as Delta, Uber, Starbucks, Chili’s, Hard Rock, MilkPEP, Diageo, Cotton, IHG and more. If you’re driven by a passion to build something great, a desire to innovate, and a commitment to achieve excellence in your craft, GALE is a great place for you!

GALE has eight offices around the world, including New York, Toronto, Los Angeles, Austin, Denver, Kansas City, London, and Bengaluru. GALE embraces a hybrid, flexible workplace.

Your Impact

We are currently seeking a Senior Associate- Analytics to join our growing Analytics team, focusing on designing, building, and deploying reliable technical solutions and products that drive significant business outcomes for our clients. Successful candidates will work hands-on with internal engineering teams and technical stakeholders to build robust, production-ready AI agents and analytical systems. Attention to detail and a desire to dig deep into the data for insights are necessary. You will have the opportunity to work with various clients across different sectors. If you have most of the required skills but not all of them, you are still encouraged to apply.

Who You Are

• 3-5 years of technical experience in roles such as AI Engineering, Machine Learning Operations (MLOps), or Computer Engineering, with a focus on building and operationalizing end-to-end data products and GenAI solutions.
• Expertise in SQL and Python for building data pipelines, transformation, and modeling, including the integration of Generative AI (GenAI) models like ChatGPT, Gemini and Claude.
• Experience with cloud-based data warehouses like Google BigQuery, Snowflake, or AWS Redshift, and familiarity with ETL/ELT pipelines and dimensional data modeling.
• Experience with Google Cloud Platform tools.
• Knowledge of media platforms like Campaign Manager 360 and associated measurement tracking.
• Comfortable collaborating with developers, data engineers, and technical stakeholders to define requirements and lead the development of technical solutions and projects.
• Curious, Creative, Independent, and Innovative

What You Will Be Doing

• Lead the design, development, and deployment of innovative AI-enabled data pipelines and systems (e.g., summary generation, predictive models) for web, media and CRM data, focusing on robust scalability and automation.
• Engineer, integrate, and maintain Generative AI (GenAI) and Machine Learning models and multi-agent systems, including development of prompt engineering strategies and validation frameworks (e.g., Gen Agent/QA Agent architecture), to automate tasks and drive insights.
• Support technical governance for AI solutions, driving process improvements, and contributing to the innovation roadmap for scalable data architecture and MLOps capabilities.
• Collaborate with Data Engineering and Analytics teams to ensure data quality, implement technical tagging solutions, and define clean data schemas.

Nice to Have

• Good understanding of A|B Testing, Experience and Campaign Optimization
• Additional expertise in Google Analytics and other leading tools is preferred
• Experience in the consulting and advertising industry is preferred
• Experience with Data Visualization tools such as Tableau, PowerBI, or Looker for reporting and analysis

Compensation

In order to comply with equal pay and salary transparency laws in various locations, we believe the target compensation for this role is CAD 75,000 to $110,000 per year. Actual compensation is influenced by a wide array of factors including but not limited to skill set, qualifications, job performance, level of experience, location, and business needs. For more information on other benefits we offer, please visit https://www.gale.agency/careers

AI Disclosure

As part of our recruitment process, we may use technology assisted tools, including automated systems, to support the review and assessment of applications. These tools do not make the final decisions. All decisions related to screening, interviewing and selection are made by our Talent Acquisition and hiring teams.

Note

Hybrid work in office is an essential function of the job.

Our Commitment to Inclusion

We believe in inclusivity and do our best work when people with diverse perspectives, backgrounds, and skills are brought together. Our Core Values are at the root of GALE’s collaborative environment and help to foster a strong community. Our Code of Conduct, Human Resources policies, and executive investment in inclusion further support and protect GALE’s inclusive workplace. GALE is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

Our Hiring Process

We want you to be just as discerning in making your next career move as we are finding great talent to join our team. Our interview process will allow you to meet a range of people from various disciplines and domains both virtually and in person. Please discuss with our recruiters if you require any accommodations throughout the process to help enable a smooth interview.