Business Intelligence Engineer - II

Summary:

Our ideal candidate has a combination of strong technical skills, superb analytical capabilities, outstanding business insight, and excellent verbal and written communication skills. As a member of our team, you will have the opportunity to work with one of the largest and most complex data warehouses in the world to gather insights using data from across Company. You will work closely with the marketing, merchandising, product, and development teams to solve unique problems and find answers to questions that require tenacious problem solving and creativity.



Responsibilities:

Working with marketing, merchandising, product management and engineering to identify and scope data aggregations that facilitate analysis of most common customer behavioral questions.

Partnering with our Data Engineering team to enhance data infrastructure, data availability, and broad access to customer insights made available through .

Join large and growing BI/ Science team to leverage extensive music listening to better understand customers and contribute to product and marketing strategy.

Defining and developing tests to identify the best way to reach, convert, and retain customers.

Reporting to senior leadership and the team at large, on customer, product and marketing insights and trends.

Proactively developing new metrics and studies to quantify customer behavior.

Combining online web customer behavior and offline customer attributes to gain Client 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 finance team to conduct business and financial analysis, including forecasting and monitoring of key business activity.



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 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





Compensation:

The pay rate range above is the base hourly pay range that Aditi Consulting reasonably expects to pay someone for this position (compensation may vary outside of this range depending on a number of factors, including but not limited to, a candidate’s qualifications, skills, competencies, experience, location and end client requirements).



Benefits and Ancillaries:

Medical, dental, vision, PTO benefits and ancillaries may be available for eligible Aditi Consulting employees and vary based on the plan options selected by the employee.