Business Intelligence Engineer III

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