Supervisor, Data Operations

Company Description

Read this first: If you have what it takes for this job, but don't meet all the criteria within the job description, we encourage you to apply. We'd like to connect with you to see what skills and experience you could bring to our team.

Publicis Media Exchange (PMX) is the global media platform for Publicis Groupe [Euronext Paris FR0000130577, CAC 40]. PMX is an omnichannel activation powerhouse that drives smart application of investment through leveraging scale, marketplace innovation, deeper partnerships and intelligence. PMX is at the forefront of the converging marketplace executing data-informed, tech-enabled media to help marketers connect with consumers in a measurable way. 

Job Description

As a Supervisor on the Data Operations team, you will help our team lead and build a robust foundation of reporting and analytics and help internal and external clients make better decisions by taking advantage of known data-driven techniques.  This role is cross-functional in nature as not only will you be responsible for generating end-to-end insights but also will be managing several resources to take on already structured processes.  In addition, one of the most important requirements is driving bottom-line growth through ensuring operational efficiencies. 

The candidate must have strong technical skills in relational databases, API data extraction, programming in various analytics software such Python or R, automate data pipelines, build aesthetic / analytically profound / easy to understand visualizations using software such as PowerBI or Tableau to tell stories and provide recommendations that can help end-users to optimize on their key performance indicators.

In order to succeed the candidate must have strong leadership skills, sound technical knowledge as well as outstanding soft skills. 

What you get to do!


  • Lead reporting / analytical end-to-end project initiatives including project management, executive communication, defining deliverables, designing data pipelines, task delegation, resource management
  • Collaborating with agency, product, campaign management teams to define, plan, delegate processes for end deliverables
  • Develop data pipelines with processes ranging from mining, extracting, cleansing, transforming to building automatable reporting and analytics dashboards
  • Deliver complex actionable analytical solutions involving heavy data and statistical modeling (e.g. data sampling, segmentation, classification, predictive modeling, etc.)
  • Lead the discovery and expansion of new and existing methodologies, tools, and algorithms
  • Manage relational databases to organize, store, process clean data prepared for internal and client stakeholders
  • Manage / coach / train offshore reporting and analytics resources to ensure already outlined project tasks are fulfilled and solid communication with key stakeholders is taking place
  • Communicate / present analytical findings and recommendations to audiences ranging from executives to working level team members

What we are looking for!


  • Undergraduate degree in Math, Analytics/Business Intelligence, Economics, Finance or other quant related field
  • Preferred Graduate degree in Analytics, Statistics, Business Intelligence or related field
  • 4+ years of experience in Data Analytics, proficiency with analytics software and related education

  • Preferred Experience with platforms such as Adobe Analytics, Google Analytics, Social Platforms (Facebook / Twitter etc.), Big Data cloud environments and other similar CRM platforms
  • Fluency in SQL with strong understanding of relational database constructs
  • Proficiency in programming software (Python / R)
  • Proficiency with data visualization tools such as Tableau / PowerBI
  • Proficiency with MS Office products in particular Excel skills (Macros, Pivot Tables, Power Pivot)
  • Alteryx data cleansing/pipelining is preferred

  • Excellent quantitative and analytical skills including pipelining, cleansing, structuring, manipulating, automating, and analyzing data of various types
  • Have applied data science, modelling, analytics and reporting experience implementing and supporting data platforms to support internal stakeholders and clients
  • Excellent verbal and written communication skills, able to share technical results and recommendations to audiences at varying levels of analytic understanding.
  • Experience in analytics and report scheduling / automation using tools ranging from Alteryx / Databricks / Crontab / Stored Procedures
Additional Information

Compensation Range: $81,500 - $128,000 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. For this role, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off.

All your information will be kept confidential according to EEO guidelines.

REQ # 23-7632

Related Jobs



MLOps Engineer

  • MLOps
  • Full Time
  • apis
  • aws
  • azure
  • big data
  • biology
  • ci/cd
  • computer science
  • data pipelines
  • docker
  • engineering
Land your dream job
Get a weekly email with the latest startup jobs.