Sr. Analyst, Data Operations

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

The Details

As a Senior Analyst on the Data Operations team, you will help our team 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 as R or Python, automate data pipelines, build aesthetic / analytically profound / easy to understand visualizations using software such as 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 sound technical knowledge as well as outstanding soft skills. 

What you get to do!

Responsibilities:

• 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 sets
• Contribute in 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

Qualifications

What we are looking for!

Education:

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

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)
• Proficiency with data visualization tools such as Po