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Business Intelligence Engineer II

Job ID: 24-06028
Pay rate range - $60/hr. to $63/hr. on W2
Schedule - 3-days in office, convert to 5-days in office come January

Must Have
SQL
Python Scripting
Dashboard (Tableau, QuickSight, etc.)

Required
SQL-proficient
Basic Python scripting
Machine learning preferable
Dashboarding experience QuickSight, Tableau, etc.
Basic pipeline building

Leadership Skills
Bias for Action, Deliver Results, Invent and Simplify
(also Ownership, Customer Obsession, Think Big)

Daily Schedule
Sourcing data and formatting to share to finance stakeholders
Building dashboards
Pre-analysis of data
Coming up with user-friendly views in dashboards
Partnering with Analyst Teams to acquire the data
Working with senior leadership to gather reporting requirements
Ad-hoc requests
Working with related teams
Automating pipelines
Deep dive data projects
Statistical modeling a plus

Job Description: 
As a key analytics partner, the Business Intelligence Engineer will influence the direction of the business by leveraging our data to deliver insights that drive decisions and actions.
This role involves translating broad business problems into specific analytics projects, conducting deep quantitative analyses, and communicating results effectively.
We seek professionals to transform our data into actionable insights to continue to fuel the growth of this business.
The role will help the organization identify, evaluate, and evangelize new techniques and tools to continue to improve our ability to deliver value. 
This role requires an individual with excellent business, communication, and technical skills, enabling collaboration with various functions, including product managers, data engineers, finance managers, software engineers, data scientists, as well as senior leadership.
The successful candidate will be a self-starter comfortable with ambiguity complex datasets and business problems.
The person has strong ownership and an ability to work in a fast-paced, ever-changing, and high-energy environment.
 
Key job responsibilities
- Design, develop, build, and maintain scalable data solutions, including infrastructure, pipeline, and reporting, to support long-term business strategies
- Simplify and re-invent current data solutions to support the business scope expansion
- Explore and deep dive into new areas across various ad programs as well as business functions to support business decision making
- Translate business problems into data questions, find solutions to solve those questions with resourcefulness
- Present analytical findings and recommendations to business leadership
- Work cross-functionally with other teams in various job families to gather data sources to provide a comprehensive view of the business, inclusive of supply, demand, sales, operations, shoppers, etc.
- Recognize and adopt best practices in reporting/analysis: data integrity, test design, analysis, validation, and documentation
 
This role promises to give exposure to a high-growth business.
This BIE will be actively involved in building new metrics, understanding the impact of product changes, and identifying opportunities for growth through exploratory analyses including use of lightweight statistical techniques.
This role provides the opportunity to use emerging technologies such as machine learning to build models and tools used by management for strategic decision-making.

 
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