Job ID: 25-10065
Pay rate range - $58/hr. to $60/hr. on W2
on site 5 days

Must Have

3-6 years of experience working with large-scale complex datasets

Strong working knowledge of SQL

Background (academic or professional) in statistics, programming, and marketing

Qualifications:
• 3-6 years of experience working with large-scale complex datasets
• Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions
• Strong working knowledge of SQL
• Background (academic or professional) in statistics, programming, and marketing
• SAS experience is a plus
• A graduate degree in math/statistics, computer science, or a related field, or marketing is highly desirable.
• Excellent communication skills, equally adept at working with engineers as well as business leaders

Daily responsibilities:
• Evaluation of the performance of program features and marketing content along measures of customer response, use, conversion, and retention
• Statistical testing of A/B and multivariate experiments
• Design, build, and maintain metrics and reports on program health
• Respond to ad hoc requests from business leaders to investigate critical aspects of customer behavior, e.g., how many customers use a given feature or fit a given profile, deep dive into unusual patterns, and perform exploratory data analysis
• Employ data mining, model building, segmentation, and other analytical techniques to capture important trends in the customer base
• Participate in strategic and tactical planning discussions

Job Description:

The Senior Business Intelligence Engineer occupies a unique role at the intersection of technology, marketing, finance, statistics, data mining, and social science.

We provide the key insight into customer behavior necessary to guide the evolution of business strategy.

As a Senior Business Intelligence Engineer, you will be responsible for developing comprehensive dashboards that provide clear visibility into product success metrics.

In this role, you will collaborate closely with product teams to understand and establish new KPIs while analyzing data from the extensive Sort Centers network.

Your expertise will be vital in presenting key metrics and data insights to higher leadership. With a strong focus on fast delivery, optimized operations, and building scalable pipelines, you will contribute directly to our mission of continuously optimizing Sort Center operations across the network.