Senior Pricing Analyst Power Bi | US Automotive Retail Company | 4 7 years

  • 4-7 years
  • Not Disclosed

Job Description

Partnering with teams both at AAP HQ pricing, offshore at GCC and our vendor partners to apply advance analytics to drive business insights and deliver business value in the areas of pricing (regular, promotions, coupons, price overrides, clearance etc).
Build advanced math models and analytics in 3C areas of pricing – Customer, Competition and Category.
Partnering with the pricing leadership to establish the reporting metrics framework for how we will monitor the performance of the company
Develop Data Analytics methodology and procedures
Development leverage of digital platforms for monitoring of organizational results and key supporting KPIs utilizing tools such as PowerBI, Snowflake and other delivery tools
Team with IT counterparts and peers and provide inputs into the designing, implementing, and maintaining core data elements (master data, measure definitions, hierarchies, algorithms, etc.) that impact pricing
Performing deep and complex analysis to discover underlying business drivers and how to leverage those insights to optimize pricing actions.
Mentoring, coaching, and inspiring the other analysts and specialists on the team and be a role model for them for career growth
Deliver analysis and findings to the pricing and other leadership and business teams…often through formal presentation

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and or ability required.

Technical Qualifications:
5+ years of data business analysis experience
Needs to have a business background and have technology acument
Has worked in a cross functional team environemnt
Ability to extract and integrate data leveraging technologies such as (SQL, Hive, Redshift, Mongo, etc.).
Ability to develop and automate reporting analysis as well as operational process using technologies such as (Python, R, Spark, etc.)
Ability with visualization, discovery, & analytic apps such as (Power BI, Tableau, SAS, etc.)
Ability to define problems, collect data, perform analysis, establish facts, and draw valid conclusions
Demonstrated experience with statistical analysis and other advanced mathematical logical methods
Familiarity with AI type concepts, machine learning concepts, and advanced automation a plus
Ability to present information and respond to questions from groups of senior management, department heads, and the IT Business teams
Attention to quality, reconciliation, and accuracy are critical as the audience is often executive level staff and the decisions being made are significant in scope impact.

Experience with any of the following a plus: Sql, Oracle, Salesforce, ADIS, AS400
Auto industry knowledge
Experience supporting remote teams

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