Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

As a Senior Analyst on the Data Operations team, you will help build a robust foundation of reporting and analytics, enabling internal and external clients to make better decisions through data-driven techniques. This cross-functional role involves generating end-to-end insights, managing resources, and driving bottom-line growth by ensuring operational efficiencies.

Responsibilities

• Lead reporting and 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 involving mining, extracting, cleansing, transforming, and building automatable reporting and analytics dashboards.
• Deliver complex, actionable analytical solutions using large datasets.
• Contribute to the discovery and expansion of new and existing methodologies, tools, and algorithms.
• Manage relational databases to organize, store, and process clean data for internal and client stakeholders.
• Manage, coach, and train offshore reporting and analytics resources to ensure project tasks are fulfilled and maintain solid communication with key stakeholders.
• Communicate and present analytical findings and recommendations to diverse audiences, from executives to working-level team members.

Requirements

• 2+ years of experience in Data Analytics.
• Proficiency with analytics software and related education.
• Applied analytics and reporting experience implementing and supporting data platforms for 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 such as Alteryx, Databricks, Crontab, or Stored Procedures.

Skills

• Relational databases
• API data extraction
• Programming in R or Python
• Automate data pipelines
• Data visualization using Tableau
• SQL
• MS Office products (Excel skills: Macros, Pivot Tables, Power Pivot)
• Adobe Analytics
• Google Analytics
• Social Platforms (Facebook / Twitter etc.)
• Big Data cloud environments
• CRM platforms
• Alteryx data cleansing/pipelining
• MS Office products
• Excel skills
• Macros
• Pivot Tables
• Power Pivot
• PowerBI
• Tableau
• Python
• SQL
• R

Experience Level

• Senior

Education Level

• Undergraduate degree in Math, Analytics/Business Intelligence, Statistics or other quant related field
• Preferred Graduate degree in Analytics, Statistics, Business Intelligence or related field

Salary/Compensations

• USD $73,150.00 - USD $112,554.00/Annually

Benefits

• Medical coverage
• Dental
• Vision
• Disability
• 401K
• Parental and family care leave
• Family forming assistance
• Tuition reimbursement
• Flexible time off

About the Company

• Publicis 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.

Equal Opportunity

• Our Publicis Groupe motto “Viva La Différence” 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.
• All your information will be kept confidential according to EEO guidelines.