Pay rate range: $50/hr. to $55/hr. on W2
Work Model: 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
Years of Experience: 3+ years working with SQL, Data extraction tools (ETL), Pipelines, building visualizations using Tableau/Power BI or QuickSight
Industry Preference:
- Music
- Any industry dealing with customer subscriptions
Job Qualifications:
- Tableau
- SQL
- Knowledge of relational databases
- Working with ETL tools
- Analytical skills
- Structured problem-solving abilities
- 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 is a plus
A graduate degree in math/statistics, computer science, or related field is highly desirable.
- Excellent communication skills, equally adept at working with engineers and 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)
- C# experience is a plus but not a deal breaker
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
- 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