Business Intelligence Engineer IV

1 week ago

Seattle, United States TalentBurst Full time
W2 Acceptable
Business Intelligence Engineer IV 119059-1
(Remote PST only)
Duration: 5 Months+

Daily Schedule: M-F 9am-5pm
Reason for Request: Backfill

Job Description
Hard work, a passion for innovation, and zealous advocacy for the needs of our customers have made Client Earth's most customer-centric company. This would not be possible without the tools and expertise we use to understand customer behavior. 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.
At Client Prime, understanding customer behavior is paramount to our success in providing customers with convenient, fast free shipping in the US and international markets. As a Senior Business Intelligence Engineer with Client Prime, you will work with our world-class marketing and technology teams to ensure that we continue to delight our customers. You will meet with business owners to formulate key questions, leverage Client's vast Data Warehouse to extract and analyze relevant data, and present your findings and recommendations to management in a way that is actionable.
If you are motivated to serve the needs of our customers, you will also be able to satisfy your curiosity working with one of the world's largest datasets. We seek candidates who are passionate about data analysis and data-driven decision making, uncompromisingly detail oriented, smart, efficient, and driven to help our business succeed by providing key insights that translate into action.

Key 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 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 Qualifications:
7+ 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 a plus
Graduate degree in math/statistics, computer science or related field, or marketing is highly desirable.
Excellent communication skills, equally adept at working with engineers as well as business leaders

Can you give me a little detail about your team culture?
The team consists of multiple engineering and data science teams, with a central PM coordinating this program. The teams are spread geographically, and this role can be remote with daily/weekly syncs with the PM and engineering team. There is no on-call needed from this role. A very collaborative, fast paced environment.

REQUIRED SKILLS
Familiarity with AWS architecture and services
Experience building dashboards and reporting

Years of Experience:
5+ years in a BI engineer role with experience building comprehensive dashboards using BI tools. Experience collaborating with data engineers and SW engineers to build E2E operational dashboards and reporting solution.

Degree or Certification:
MS in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field plus one year of experience in the job offered or related occupations of Software Engineer, Software Developer, or related. Employer will accept Bachelor's degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field plus five years of progressively responsible experience in the specialty as equivalent to the Master's degree.

Top 3 must-have hard skills
Experience with QuickSight and other BI tools like Tableau
Must have 1-2 years' experience in Python, PySpark, ETL
Understand how API data pull works

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