Senior Analyst Data Operations, Central Activation

Responsibilities

• Lead reporting / analytical end-to-end project initiatives including project management, executive communication, defining deliverables, designing data pipelines, task delegation, resource management
• Collaborate 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

• 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

• 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)
• Alyyx data cleansing/pipelining is a plus
• Experience implementing and supporting data platforms to support internal stakeholders and clients
• Excellent quantitative and analytical skills including pipelining, cleansing, structuring, manipulating, automating, and analyzing data of various types
• 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