Senior Analyst, Data Operations

Company description

Digitas is the Networked Experience Agency, built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks. Today, and tomorrow. We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences, Integrated Media, Addressable Relationships, Social Marketing and Total Commerce.

Celebrated by AdAge as Data and Insights Agency of the Year, U.S Campaign’s Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the world’s leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries.

Our Data & Analysis team is a group of curious, agile, and collaborative analysts. We collect, connect, and analyze data, transforming it into meaningful stories that drive overall marketing strategy and smarter business decisions. To help with this, we’re looking for an outstanding Data Ops Manager— someone who can lead a team of analysts, thinks critically and strategically, has a passion for connecting people and processes more efficiently, is excited to innovate and maintain a strong data foundation.

Sound like you? Read on.

Day-to-day, your role includes

· Leading a team of Data Ops Analysts and Senior Analysts through their day to day responsibilities, ensuring their growth as they progress through their career

· Where applicable, partnering closely with engineering teams to ensure high data quality when building and maintaining critical data pipelines

· Reviewing and assisting analysts with SQL scripts

· Overseeing the design and execution of data quality checks and remediation of data quality across marketing data systems while ensuring full understanding of client deliverables

· Maintaining ongoing management and stewardship of data governance, processing, and reporting

· Overseeing taxonomy governance and ensure all key media and site stakeholders are following proper taxonomy additions and application

· Serving as a knowledge expert for media and site data processes and identifying areas of improvement to ensure appropriate turnaround times and data quality standards are being met

· Evaluating opportunities for simplification and/or automation for media and site data processes

· Influencing teams towards data decision-making and analytical thinking

· Promoting a culture of process documentation

· Providing guidance on process improvements and best practices for data management

· Coaching junior team members

· Assisting project managers and key project stakeholders in creating effective and achievable project plans

· Working closely with other Data and Analysis teams, providing recommendations and direction on visualization of our data

· Playing a key role in defining the technology strategy for data management

· Empowering your team to live the Digitas values to be open, bold, and curious

We’re looking for strong, impactful experience, which typically includes

• 5-7 years of applicable experience in analytics with an advertising agency, management consulting company, or ad tech company
• Experience managing a team
• A four-year college degree; advanced degree is a plus
• Strong attention to detail, critical thinking and problem solving skills
• Excellent oral and written communication skills
• Passion for digital marketing, eagerness to learn in a constantly changing space, and a natural curiosity
• Proficient with SQL and data visualization tools (i.e. Tableau, Power
  
  BI, Google Data Studio)
• Knowledge of digital data technologies (Google Analytics, Google Marketing Platforms, etc.)
• Knowledge and experience with Python a plus
• Experience working with Google Cloud and AWS a plus
• Knowledge and experience with Databricks or Snowflake a plus
• Experience with CI/CD pipelines a plus
• Comfortable in a fast-paced and deadline-driven environment

Familiarity with prompt-based interaction and commonly used generative AI tools (e.g., ChatGPT, Google Gemini, DALL
· E, Midjourney) is a plus,…