Data Analyst

Ada, MI, US, 49355

Applications have closed

Amway Inc. Alticor Inc.

Amway is a world-wide leader in health & beauty, and an outstanding Independent Business Owner opportunity. Learn more about becoming an Amway IBO today.

View company page

Job title:                                Data Analyst 

Department / Division:     ANA Insights & Analytics

Salary Range:                      $78,108 - $101,081

Location:                               Ada, MI

*Note: This position is a hybrid remote/office role, and you must be able to report in-person to Ada, MI on Tuesdays - Thursdays


What’s special about this team:

ANA Analytics team plays a key role in providing market business performance insights, helping leaders understand business drivers and answer key business questions. The team works directly with ANA leadership team and stakeholders from core business functions like Sales & Marketing to understand their programs and help measure against success. It is a unique team with a broad scope, touching many parts of the business, including market level strategy, sales, marketing, macro forecasting, etc. and plays a critical role in informing Amway North America growth strategy and influencing the ongoing journey towards becoming an insight-driven organization. While market focused, the team is a part of a larger Global Analytics function with access to global resources, tools and training.

 

If you are curious by nature and always driven to learn more, have a consultative mindset, enjoy working with data, researching trends and root causes of those trends to help develop business insights that help inform business decisions and influence business strategy, than this team would be a great fit for you.

 

How you would contribute to the role:

You will work on a variety of projects providing analytical support for various aspects of the business, including identifying and interpreting market level trends, partnering closely with sales and/or marketing functions helping answer critical business questions, informing business decisions, future strategy and plans. Analytical support you’ll be providing will include building reports, designing and developing dashboards and data models as well as presentations to deliver actionable insights to stakeholders and business leaders that will result in informed business decisions or solutions to business challenges. You’ll consult business partners and provide thought leadership on measurement approaches to market / functional initiatives to ensure business impact is measured appropriately, resulting in continuous improvement efforts that help achieve intended outcomes.

 

Required qualifications:

  • Minimum 3 years of experience in a role requiring understanding of data and interpretation of trends
  • BS degree in Mathematics, Analytical Sciences, Statistics, Business, Finance, Economics, Computer Science or a related field

 

Skills to be successful in the role:

  • Excellent quantitative analysis skills, ability to independently determine appropriate analytical methodologies and conduct a variety of analytical techniques to achieve project objectives
  • Ability to utilize relational databases and data warehousing technologies (Google Cloud Platform experience is a plus)
  • Experience working with tools and programs such as SQL, Tableau, R, Python, developing queries and well-visualized user-friendly dashboards
  • Ability to translate business questions into analytical questions and ultimately data requirements with capability to identify, locate and wrangle data from existing data sources
  • Experience with advanced analytics methodologies and techniques, building models to address business problems

 

 

This role is not eligible for sponsorship.

Tags: Computer Science Data Warehousing Economics Finance GCP Google Cloud Mathematics Python R RDBMS SQL Statistics Tableau

Region: North America
Country: United States
Job stats:  22  17  0
Category: Analyst Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.