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Business Intelligence Engineer III

Job ID: 25-10240
Pay rate range - $68/hr. to $72/hr. on W2

Must Have
SQL
Visualization
Analytical Problem solving and deep dive (hypotheses-based univariate/bivariate analyses)

Title: BIE
Yrs Exp: -7+ years of experience working with large-scale complex datasets
 
REQUIRED SKILLS
A/B Testing, SQL, Scripting (Python, PySpark, etc.), Basic statistics
 
- 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

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
- Reporting to senior leadership and the team at large, on customer, product and customer insights and trends.
- Proactively developing new metrics and studies to quantify customer behavior.
- Combining online web customer behavior and offline customer attributes to gain a novel and powerful understanding of Digital Music customers.
- Quickly build a thorough understanding of the Digital Music industry, its seasonality, and global business trends, and continually monitor the impact of important industry developments.
- Work closely with the finance team to conduct business and financial analysis, including forecasting and monitoring of key business activity

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
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