Senior Analyst - Data & Analytics

Portland | United States | Accounting & Finance


  • Work with analysts in the teams and stake holders across organization to gather requirements, analyse/clean data, ensure data integrity and assist the Sr. Manager in automation and digitization of finance. Conduct quantitative analysis using machine learning concepts and tools (R, Python, SQL etc) that can be used for predictive analysis, forecasting and statistical modelling within finance and marketing.

Key Accountabilities

  • Collect, process and clean the data used for analytics, reporting and forecasting
  • Work with stake holders within finance and sales team to ensure data integrity and create tools for data visualization and reporting
  • Support the Sr. Manager of data analytics in automation of manual processes within finance
  • Work with historical and existing data available within finance and marketing to undertake advanced time series forecasting
  • Collect and analyse data to build predictive models using machine learning techniques
  • Maintains existing automated scripts and troubleshoots failures as needed
  • Develops and implements automated test scripts within our current framework and infrastructure.
  • Partner with Sr. reporting analyst to understand requirements and reduce reporting time by leveraging our tech stack

Knowledge Skills and Abilities

  • Experienced in performing analytic activities (on systems, products, processes and/or procedures) for business unit to improve efficiencies
  • Experienced in identifying gaps, automating operational processes and work towards improving existing automation methods
  • Advanced understanding of predictive models (logistic & linear regression, decision trees, random forest etc.)
  • Experienced in machine learning concepts, tools and ability to develop algorithms using Python, R or other scripting languages/tools
  • Proven track record of using SQL and developing scripts to perform data wrangling, work with large data sets and draw insights
  • Ability to work in cross functional environments comprising of diverse internal teams as well as external stake holders like vendors
  • Experience with RPA tools highly preferred
  • Experienced working with data visualization tools like Tableau and MicroStrategy
  • Experience with Alteryx is strongly preferred

Qualifications (Minimum required education and experience)

  1. Bachelor’s degree in Computer Science, Mathematics, Statistics, Finance, Economics or another relevant program is required
  2. A Master’s degree in Business Administration, Computer Science or related IT fields is desirable
  3. 5 to 7 years of related experience working with Advanced Analytics and Business Intelligence strongly preferred
  4. 2 to 3 years Machine Learning, Predictive Analytics and Data Process Automation experience preferred
Apply here

adidas celebrates diversity, supports inclusiveness and encourages individual expression in our workplace. We do not tolerate the harassment or discrimination toward any of our applicants or employees. We are an Equal Opportunity Employer.

At adidas, every day is a chance to flip the script. An invitation to take everything we know and re-invent it. Do it better. Never settling for good enough. Every day we get up, invent, adapt, improvise, find new ways to collaborate, and do the unexpected. We’re creators, makers and doers. Helping athletes make a difference, not just in their games, but in their lives and in their world. It’s an obsession.

We’ve been doing this for more than 65 years. With an unmatched history and tradition of creating iconic products, consumer connections and experiences, we’ve been defining sport culture since the beginning. And we’re never done. Come be a part of shaping the future together with us.

The Facts

Jobtitle Senior Analyst - Data & Analytics
Team Accounting & Finance
Brand adidas
Location Portland
Country United States
Number 188419
Position Type Full time
Date Jan-09, 2019
Relocation yes

Sounds great for you? We would love to have you here.

Apply here

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