Sr. Data Analyst,Supplier Job Atlanta area,Georgia USA,IT/Tech

Position: Sr. Data Analyst, Supplier Performance

Position

Purpose:

The Sr. Data Analyst, Supplier Performance will focus on developing analytical processes, tools, and strategy to support the team's goal to create and maintain automation tools to enable faster and more efficient products and provide greater insight into supplier KPIs. The role requires considerable analytical and technical skills, and the ability to effectively describe those processes to leadership.

The individual will work cross-functionally withbusinesspartners from Supply Chain, Product Management, IT, Finance, Operations, and Merchandising to translate operational processes andbusinessquestions into rule-based analytics.

Key Responsibilities:

50% Design, implement and measure pricing actions to understand the trade-off between units, sales and gross margin. Utilize learnings to help merchants reach financial objectives
20% Conduct research to become subject matter expert on a specific segment of pricing and statistical analysis
10% Work across the organization and leverage cross functional teams to provide expert analytical support (i.e. domestic logistics or global supply chain costs
20% Develop and deliver influential presentations that summarize complex analyses and drive effective business decisions

Direct Manager/Direct Reports:

This position reports to Manager.
This position has 0 direct reports.

Travel Requirements:

Typically requires overnight travel less than 10% of the time.

Physical Requirements:

Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:

Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:

Must be eighteen years of age or older.
Must be legally permitted to work in the United States.

Preferred Qualifications:

4+ yrs business experience preferred
Proficiency in findings insights using SQL (or Python) against large datasets
Expertise in developing reporting using BI tools like Tableau or Looker
Experience working in large data warehouse environments (preferably Google Big Query)
Experience with Github and VS Code
Mastery utilizing statistical techniques to identify key insights that help solve business problems
Demonstrated ability to collaborate and work effectively with cross-functional teams
Ability to translate business requirements into analytical frameworks
Strong attention to detail and commitment to data accuracy
Understanding of how data schema impacts metric behavior and reporting
Ability to design scalable data architectures and implement efficient data pipelines

Minimum Education:

The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:

No additional education

Minimum Years of

Work Experience:

Preferred Years of

Work Experience:

No additional years of experience

Minimum Leadership

Experience:

None

Preferred Leadership

Experience:

None

Certifications:

None

Competencies:

Ability to learn very quickly and independently
Business acumen
Proven ability to analyze, evaluate and interpret complex data
Strong communication skills: verbal and written
Ability to build relationships and work cross functionally with business partners

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