Advanced Analyst II

Meijer•Grand Rapids, MI

18h

About The Position

This position is an experienced role on the Meijer Advanced Analytics Team. Advanced Analytics is a cross functional team that marries a highly technical skillset, rooted in statistics and machine learning, with expert level communication and collaboration to serve and partner with a multitude of business areas. The Advanced Analyst II Role contributes to these efforts by developing and applying advanced analytic & machine learning solutions, proactively collaborating with and anticipating business needs. This role directly supports data-driven actions taken across the business to have a positive impact on sales, margin and profit performance as well as enriching the lives in the communities we serve.

Requirements

Bachelor’s degree in Business, Statistics, Economics or other quantitative field or Relevant Experience.
2+ years of relevant analytics experience in an applied role—preferably within retail, logistics, supply chain, or CPG.
Demonstrated strengths using several of the following: Python, Databricks, Azure ML, Azure Cognitive Service, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK, PowerBI, Teradata, Geospatial Platforms (eg: Placer, ESRI)
Experience with Azure Cloud technologies including Azure DevOps, Azure Synapse, MLOps, GitHub
Experience working with large datasets from disparate sources and developing statistical models and/or ML/AI systems such as: natural language processing, speech/text/image recognition, supervised and unsupervised learning models, spatial modeling, forecasting and/or econometric time series models.
Experience working in a cross-functional teams with preference in: Business/Financial Analysis, Promotional Analytics, Customer Analytics, Pricing, Merchandising, Media Analytics, Corporate Real Estate Analytics, etc.
Multi-channel experience preferred – familiar with both in-store/branch and digital analytics.
Strong work ethic; Proactive and action oriented.
Excellent communication skills: listening, verbal and written.
Ability to collaborate with, and present to internal and external partners, including leadership
Strong organizational, planning, and time management skills with ability to prioritize multiple/competing projects and assignments.
Demonstrates strong curiosity toward problem solving

Nice To Haves

Master’s Degree Preferred
Safe Agile certification
Azure certification
Databricks certification
Python certification

Responsibilities

Deliver against the overall strategy to enrich the lives in the communities we serve by delivering data-driven solutions across merchandising, marketing, supply chain, product flow, operations, real estate, and other areas of the business.
Partner with business stakeholders to build strong relationships and understand how data-driven insights and recommendations can support, enhance, and improve business outcomes.
Anticipate future business needs and identify opportunities that make substantial difference for organization, and lead the development of analytics initiatives.
Champion the adoption of advanced analytics capabilities and recommendations across the business.
Build and maintain relationships with key industry partners (eg: suppliers, vendors, CPGs) and continue to enhance analytics capabilities, knowledge and impact.
Stay up-to-date on news in the retail sector—such as state-of-the-art technological developments or competitive incursions—and utilize this information to generate pro-active insights & recommendations.
Contribute subject matter expertise and methodological design of holistic, custom insights & recommendations for each area of the business by developing custom algorithms, statistical models, machine learning solutions and artificial intelligence.
Develop scorecards and partner with reporting teams to improve reporting effectiveness.
Leverage disparate data sources and various platforms for holistic understanding to solve complex business problems.
Develop actionable recommendations (marketing, real estate, merchandising).
Define and analyze Key Performance Indicators to monitor the overall health and measure value of the data products.
Communicate these highly technical concepts and results through expert data-driven story-telling via in-person presentations, virtual presentations, email communications, and dashboards & reporting.
Drive adoption and usage of analytical insights, data products, models, and recommendations.
Keep customer at the center of analytic approach, analysis and solutions and partner with cross functional teams to drive customer centered focus at Meijer.