Supervisor, Data Operations, Central Activation

Company Description
Publicis Media is one of the four solutions hubs of Publicis Groupe ([Euronext Paris FR0000130577, CAC 40], alongside Publicis Communications, Publicis Sapient and Publicis Health. Led by Steve King, CEO, Publicis Media is comprised of Starcom, Zenith, Digitas, Spark Foundry, and Performics, powered by digital-first, data-driven global practices that together deliver client value and business transformation. Publicis Media is committed to helping its clients navigate the modern media landscape and is present in more than 100 countries with over 23,500 employees worldwide.
Publicis Media Exchange (PMX) delivers sustainable, transparent, competitive advantage to Publicis Media clients and agencies. This is done through the consolidated strength of our agencies, deep understanding of our client drivers, leveraging scaled investment, marketplace innovation, strength in partnerships and intelligence.
TRUST
Trust is the cornerstone upon which we build our relationships. We hold ourselves to the highest standards of how a partner should behave.
We treat our people and our clients with respect, transparency and honesty.
TALENT
This is first and foremost a people business. We are committed to ensuring Publicis Media a destination for the best talent in our industry. We value people as individuals, growing ourselves as we grow our client's business.
TRANSFORMATION
True transformation comes when we stop managing change, and instead initiate change. We believe in our purpose to be the admired force for business transformation. We believe that focusing on performance and results has the power to transform client business.
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 you 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 ideal candidate must have strong technical skills in relational databases, API data extraction, and programming in various analytics software, such Python or R. They will 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.
Responsibilities:

• Lead reporting/analytical end-to-end project initiatives, including project management, executive communication, defining deliverables, designing data pipelines, task delegation, and resource management
• Collaborate with agency, product, and campaign management teams to define, plan, and delegate processes for end deliverables
• Develop data pipelines with processes ranging from mining, extracting, cleansing, and 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, and 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

Qualifications
Education:

• 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

Skills:

• 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

Experience:

• Excellent quantitative and analytical skills, including pipelining, cleansing, structuring, manipulating, automating, and analyzing data of various types
• Applied data science, modeling, 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
All your information will be kept confidential according to EEO guidelines.
REQ # 23-6655
Videos To Watch
https://vimeo.com/779716739