Analyst Level 2 - Aditi Consulting
Blue Ash, OH
About the Job
Job Description:
This individual will help us to craft a story of customer behavior through the search & browse shopping experience, demonstrating where there are points of friction or opportunities to improve/innovate. This person will consult with our Implementations group on the requirements of our analytics, as well as help craft when we need to create / adjust any metrics or definitions.
What does success look like in this role:
Someone who is able to dive into complex analytic problems and drive toward accuracy and clarity in understanding. This person will be able to collaborate across many teams and tell a connected story about what is happening in Search, Product cards or PDPs.
Key Responsibilities:
Compensation:
The pay rate range above is the base hourly pay range that Aditi Consulting reasonably expects to pay someone for this position (compensation may vary outside of this range depending on several factors, including but not limited to, a candidate’s qualifications, skills, competencies, experience, location and end client requirements).
Benefits and Ancillaries:
Medical, dental, vision, PTO benefits and ancillaries may be available for eligible Aditi Consulting employees and vary based on the plan options selected by the employee.
Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human-based decision making in employment decisions.
This individual will help us to craft a story of customer behavior through the search & browse shopping experience, demonstrating where there are points of friction or opportunities to improve/innovate. This person will consult with our Implementations group on the requirements of our analytics, as well as help craft when we need to create / adjust any metrics or definitions.
What does success look like in this role:
Someone who is able to dive into complex analytic problems and drive toward accuracy and clarity in understanding. This person will be able to collaborate across many teams and tell a connected story about what is happening in Search, Product cards or PDPs.
Key Responsibilities:
- Collaborating with Search & Product PMs on performance trends at a high level, connecting how AB tests are adjusting our overall KPI tracking, identifying north star metrics & ensuring our implementation and definition of analytics is sound, and helping to identify new opportunities based on customer insights.
- Savings and Loyalty Analyst who will be partnering with 84.51
- Working in Adobe building dashboards
- Must have PowerBI experience
- Pull data from corporate and/or division systems as needed
- Perform selected and/or required key analysis as needed
- Maintain store and/or department-level database
- Develop and maintain store/department savings estimate model and database
- Ensure rollouts and best practices support and align with the Customer 1st strategy
- Demonstrate leadership within the team structure and during activities
- Create management capabilities and processes that sustain continuous improvement
- Summarize and communicate an analysis that provides best practices recommendations to the business owner and team
- Travel to divisions and stores to observe, create performance measurements and summarize observations
Compensation:
The pay rate range above is the base hourly pay range that Aditi Consulting reasonably expects to pay someone for this position (compensation may vary outside of this range depending on several factors, including but not limited to, a candidate’s qualifications, skills, competencies, experience, location and end client requirements).
Benefits and Ancillaries:
Medical, dental, vision, PTO benefits and ancillaries may be available for eligible Aditi Consulting employees and vary based on the plan options selected by the employee.
Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human-based decision making in employment decisions.
Source : Aditi Consulting