(USA) Principal Data Analyst - Investigative Risk and Operational Compliance
Walmart

Bentonville, Arkansas

Posted in Retail


This job has expired.

Job Info


Position Summary...

What you'll do...

Principal Data Analyst, (Investigative Risk and Operational Compliance)

The Principal Data Analyst, IROCC will build tools and apps to proactively identify fraud and risks in support of Global Governance initiatives.

This is a global role providing analytics support to Global Governance SMEs across all the markets we operate in, will be able to process data from disparate data platforms, build and support BI dashboards that help the SME's identify risk in their programs and also measure the maturity, draw insights and correlations from the data and communicate the results to the SMEs in business terms.

Translates business problems to a data related or mathematical solutions.

Identifies appropriate modeling techniques for complex problems with large scale, multiple structured and unstructured data sets.

Conducts exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data.

Develops newer techniques (for example, advanced machine learning algorithms, auto ML) by leveraging the latest trends in machine learning, artificial intelligence to train algorithms to apply models to new data sets.

They will conduct research to benchmark industry best practices and leverage technological solutions to better manage risk within each area of focus.

Create the data for reporting on key performance metrics for compliance programs for each area of focus.

You'll make an impact by:

  • You have strong knowledge of mathematics, particularly statistics.
  • You can code using R or Python and have working knowledge of at least one of the following: SAS, Matlab, R, Python, SQL, VBA, etc.
  • Producing clear and impactful visualizations in support of complex cases
  • Processing large amount of data for statistical modeling and graphic analysis
  • You have experience in tools like Power BI, Tableau, Tableau Prep, BigQuery
  • Accessing and interpreting public records data
  • Making complex and difficult matters simple and easily understood
  • Multitasking and using good judgment in prioritization of tasks.
  • Advising onanalysisandmodeling techniques,selecting thebest fitfor structured& unstructured, complex data,and developingcustom analytics modelstogenerate insights that drive value for our customers andunlock competitive advantage forour organization.
  • Conductingexploratoryanalysisincluding hypothesis testing,statistical inference, and statistical analysis (predictiveand/or prescriptive)
  • Partnering with Ethics and Compliance stakeholders to translatechallenging business problemsintostate-of-the-art data sciencesolutions.
  • Developing processes and toolsthatmonitor,analyzeand continuously improvemodel performance and data accuracy.
  • Having effective verbal and written communications skills
  • Presenting findings in writing and verbally
  • You're someone who can execute, with strong discipline and organization skills; someone who gets things done.
  • You have strong analytical skills to interpret insights coming from various initiatives and have a mindset for continuous learning and improvement.


You'll sweep us off our feet if...
  • You have a proven track record to solve problems through mathematical and deductive reasoning.
  • You have consistently high standards,your passion for quality is inherent in everything that you do.
  • You have proven ability as a full stack data analyst develops, optimizes, and scalesmodelsfor theproduction environment.
  • You connectthehow and why, usingyour knowledgeofdata sciencetheoriesandmethodologiestoderive the best approach that is fit-for-purpose.
  • You have a proven ability with statistical methods and advanced modelling techniques (e.g., SVM, Random Forest, Bayesian inference, graph models, NLP, Computer Vision, neural networks, etc.)
  • You'reexperiencedwith languagesusedto manipulate data and draw insights from large data sets(e.g.Python, R, SQL, etc.)
  • You'reproficientusingdatabase technologies and distributed datastores (e.g. SQL, NoSQL)
  • Youhave experiencewithSpark,Hiveand TensorFlow etc.
  • You have experience developing models involving tuning, calibration, segmentation and optimization.
  • You are structured in your thought process and can break down large problems into smaller simpler problems.


  • Looking for some data science experience
  • Minimum 5 years' experience advanced analytics, predictive analytics
  • R or Python
  • IC role
  • Location is Bentonville, AR


Live our Values
Culture Champion
* Models the Walmart values to foster our culture; holds oneself and others accountable; and supports Walmart's commitment to communities, social justice, corporate social responsibility, and sustainability; maintains and promotes the highest standards of integrity, ethics and compliance.
Servant Leadership
* Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent.
Embrace Change
Curiosity & Courage
* Demonstrates curiosity and a growth mindset; fosters an environment that supports learning, innovation, and intelligent risk-taking; and exhibits resilience in the face of setbacks.
Digital Transformation & Change
* Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working.
Deliver for the Customer
Customer Focus
* Delivers expected business results while putting the customer first and consistently applying an omni-merchant mindset and the EDLP and EDLC business models to all plans.
Strategic Thinking
* Adopts a holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and shaping the team's strategy.
Focus on our Associates
Diversity, Equity & Inclusion
* Identifies, attracts, and retains diverse and inclusive team members; builds a high-performing team; embraces diversity in all its forms; and actively supports diversity goal programs.
Collaboration & Influence
* Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates with energy and positivity to motivate, influence, and inspire commitment and action.
Talent Management
* Creates a discipline and focus around developing talent, promotes an environment allowing everyone to bring their best selves to work, empowers associates and partners to act in the best interest of the customer and company, and regularly recognizes others' contributions and accomplishments.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 4 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in data analysis, data science, statistics, or related field. Option 3: 6 years' experience in data analysis, data science, statistics, or related field.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau)

Primary Location...
702 SW 8TH ST, BENTONVILLE, AR 72716, United States of America


This job has expired.

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