Business Intelligence Engineer III

Intelliswift Software

Newark, CA

Full Time

Senior

141k-150k

5 days ago

Job Description

About the Role

The Business Intelligence Engineer III will evaluate the performance of program features and marketing content, conduct statistical testing, build and maintain metrics and reports, respond to ad hoc business requests, employ data mining and analytical techniques, participate in strategic planning, and work closely with leadership to provide insights on customer and product trends. The role requires a strong analytical mindset and the ability to translate business requirements into actionable analyses within the Digital Music industry context.

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, such as feature usage or customer profiling
Employ data mining, model building, segmentation, and other analytical techniques to identify important trends in the customer base
Participate in strategic and tactical planning discussions
Report to senior leadership and the team on customer, product, and customer insights and trends
Proactively develop new metrics and studies to quantify customer behavior
Combine online web customer behavior and offline customer attributes to gain insights into Digital Music customers
Quickly build an understanding of the Digital Music industry, its seasonality, and global business trends, and monitor industry developments
Work closely with the finance team to conduct business and financial analysis, including forecasting and monitoring key business activities

Requirements

7+ years of experience working with large-scale complex datasets
Strong analytical mindset and ability to decompose business requirements into an analytical plan
Strong working knowledge of SQL
Background in statistics, programming, and marketing (academic or professional)
Experience with A/B Testing, scripting (Python, PySpark, etc.), and basic statistics
Excellent communication skills, capable of working with engineers and business leaders
SAS experience is a plus
Graduate degree in math, statistics, computer science, or related field, or marketing is highly desirable