Data Project Manager

Full Time
Ridgefield Park, NJ 07660
Posted
Job description

Data Project Manager

Pay rate range: $75/hr to $80/hr. on w2.

Location: 85 Challenger Rd., Ridgefield Park, NJ, USA

Top Skills: Please have candidates clearly list their SQL experience in Resume summary. Candidates will be quizzed on SQL skills

Position Summary:
Data Project Manager, to join our Corporate Marketing & Communications team and be support department needs by generating reports and delivering insightful analysis on CRM data – including CRM acquisition and growth performance.

Role and Responsibilities:

Strategic:
  • DTC: strategy, experience, consumer-centric.
  • Be the customer data POC for CRM Acquisition.

Operational:
  • Assessing primary and secondary data sources to inform campaign strategies
  • Optimizing campaign performance to maximize a campaign’s ROI
  • Collaborating with cross-functional teams to ensure data is collected, analyzed and applied appropriately
  • Leading end to end campaign measurement and optimization
  • Synthesizing digital data, interpreting results and developing recommendations for primary stakeholders
  • Collaborating with stakeholders to develop measurable goals and objectives
  • Developing best practices through a vigorous test and learn approach to digital marketing
  • Developing campaign tracking requirements (display media, paid search, site, social channels)
  • Designing reporting templates/dashboards and establishing automated processes for their continued production
  • Global SLAs: supporting KPIs
  • Partner with analytics, big data and media teams to define consumer segments and creative approaches through data-driven insights

Interactions:
  • Internal: Director & VP level (DG, CM, HQ, eComm, Platform)
  • External: executive-level marketing agencies


What we are looking for:

Required Skills:
  • Bachelors’ Degree in a quantitative field (Mathematics, Engineering, Operations Research, Statistics) required. Masters’ Degree highly preferred
  • Minimum of 4 years of experience driving analytics engineering and presenting insights to leadership required
  • Minimum of 4 years of experience in marketing analytics, hypothesis testing and reporting required
  • Minimum 4 years of experience with Statistical Analysis, Machine learning and Predictive modeling
  • 2 years of experience writing SQL to analyze data in bigdata and other databases, Hadoop, Postgres, Elasticsearch
  • 2 Years of experience with Data Engineering tools including Hive, Impala
  • 2 years of experience building data visualizations using tools like Tableau and excel
  • 2 years of experience in data analysis and model building using python
  • Expert level with setting up A/B testing frameworks
  • Experience building web applications and good understanding of react, javascript, nodejs
  • Direct experience developing customer data in e-commerce, technology, mobile or consumer electronics industries required
  • Succinct, proactive communication; translate data analytics into business solutions
  • Proven experience in managing multiple tasks simultaneously with a rigid determination to meet deadlines
  • Comfortable to work with people from a broad range of backgrounds from highly technical to marketing to sales/business
  • Very strong analytical skills

Education/Experience:
Bachelor's degree in a related field required. MBA or other related advanced degree preferred.
5-7 years experience required.
Comments for Suppliers: Please have candidates clearly list their SQL experience in Resume summary. Candidates will be quizzed on SQL skills

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