Entry Level Data Analyst Fresh Graduate Jobs in Edison, NJ

Company DescriptionPublicis Media Exchange (PMX) is the investment arm of Publicis Media, supercharging our agencies and clients to drive smart application of investment by leveraging scale, marketplace innovation, deeper partnerships, and intelligence. PMX is at the forefront of the converging marketplace, solving industry challenges and executing data-informed, tech-enabled media to help marketers connect with consumers in a measurable way.Overview 

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.   

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

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 PowerBI / Tableau 

• Proficiency with MS Office products in particular Excel skills (Macros, Pivot Tables, Power Pivot) 

• Alteryx data cleansing/pipelining is a plus 

Experience: 

• Excellent quantitative and analytical skills including pipelining, cleansing, structuring, manipulating, automating, and analyzing data of various types 

• Have applied 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

Our Publicis Groupe motto "Viva La Difference" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com.

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

 Compensation Range: USD $73,150.00 - USD $112,554.00/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. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 9/26/2026.Employment Type: FULL_TIME