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Business Intelligence Engineer I

Seattle, WA, United States

Pay rate range - $50/hr. to $55/hr. on W2

Hybrid (3 days)

Must Have

Tableau - building and publishing dashboards (required)

Extract, Transform, Load (ETL) - experience building and maintaining ETL pipelines (required)

Experience writing SQL queries/ building data pipelines.

Title: BIE, Data Engineer, Data Analyst

Yrs Exp: 3 + year working with SQL, Data extraction tools (ETL), Pipelines, building visualizations using Tableau/ Power BI or quick site

Industry Preference

Music

Any industry where they have dealt with customer subscriptions

Job Qualifications

Tableau

SQL

Knowledge of relationship databases

Working with ETL tools

Analytical

Structure problems

2-4 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

A 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

Preferred Skills

Python - experience working with APIs in Python to extract data (nice to have)

AWS - knowledge of AWS data analytics services (nice to have)

It would great if a candidate had C# experience. The person going out on leave is working on some project that requires some coding experience. Would not be a deal breaker but it would be nice to have to help.

Job Description

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, 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 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 by 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 with 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

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