About the role

  • Acting as a concierge to the Divisional Analytics Teams (Dats)
  • Using deep knowledge and understanding of business needs to define & execute a data strategy
  • Coordinating the development & delivery of data assets
  • Serving as a single point of contact for issues / escalations to business stakeholders

Requirements

  • Bachelor degree and 8 years of data and analytics experience OR 12 years of data and analytics experience
  • Experience in data processing environments
  • Experience with Teradata & Hadoop
  • Experience connecting business requirements to data mining objectives and measuring business benefit
  • Knowledge of statistical modeling/predictive modeling/machine learning/data mining/optimization and big data concepts
  • Analytical and quantitative problem-solving skills
  • Experience with Data Warehouse development and data consumption
  • Experience with Business Intelligence tools
  • Knowledge of Application development platforms / languages
  • Knowledge of DevOps / continuous deployment / integration process
  • Ability to understand market needs and to translate business vision into data asset development
  • Ability to execute strategic vision with tactical efficiency
  • Experience interacting with corporate leadership
  • Ability to manage demands from multiple stakeholders while optimizing resources

Benefits

  • Health and wellness benefits
  • 401(k) savings plan
  • Pension plan
  • Paid time off
  • Paid parental leave
  • Disability insurance
  • Supplemental life insurance
  • Employee assistance program
  • Paid holidays
  • Tuition reimbursement
  • Other incentives

Job title

Senior Data Engineer

Job type

Experience level

Senior

Salary

$130,800 - $242,800 per year

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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