Use Case & Data Science Senior Analyst

ALDI-posted 7 months ago

$112,500 - $127,000/Yr

Full-time • Mid Level

Remote • Naperville, IL

Food and Beverage Retailers

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ALDI is one of the fastest-growing retailers in the nation, and we are charting an aggressive growth course with plans to add 800 new stores by 2028, increasing to nearly 3,200 locations nationwide. The National Data & Analytics (NDA) department at ALDI is committed to driving the development and reporting of nationally relevant data and analytics products, ensuring alignment with the guidelines set by International Data & Analytics (IDA) to meet global standards. In this dynamic environment, you will play a pivotal role in supporting the U.S. data analytics needs while enhancing efficiency, fostering collaboration, streamlining governance, and promoting a culture of data-driven decision-making throughout the organization. Are you ready to leverage your advanced data analytics expertise to drive strategic initiatives and enhance business performance? Join ALDI as a Use Case & Data Science Senior Analyst, where you'll work alongside our team of multitalented analysts to connect business needs with technical solutions. In the Senior Analyst role, you'll develop complex analytical projects that support data-driven decision-making, collaborate with stakeholders to deliver value on our strategic priorities, and mentor team members to cultivate a culture of continuous improvement. If you are proficient in Python and possess a strong analytical background, this position offers you the opportunity to make a significant impact on our business.

Acts as liaison between business end users and technical teams across the business.
Advises on any changes or actions to improve the efficiency and effectiveness of the team.
Informs management of recurring issues or when additional team training may be required.
Performs complex analyses with actionable outcomes to support assigned analyses and projects.
Reviews and analyzes the financial and operational data specific to assigned analyses and projects.
Maintains a high level of data integrity and takes appropriate action to investigate potential data discrepancies.
Mentors team members on skills, best practices and concepts related to data analytics.
Prepares and reviews advanced charts, tables, and other exhibits for use in reports.
Prepares complex reports, statements, working papers, schedules and summaries supporting assigned business projects.
Assists management with financial planning, budgeting/forecasting, variance analysis and ad hoc business analysis.
Researches, analyzes and explains current and past activity, expected trends, potential effect of change, supports findings and provides recommendations to clients.
Supports meetings that are integral to the success of the assigned project and analytical workload.
Learns the underlying data attributes, metrics and calculations and strives to become an expert of the data and metrics.
Explores new business initiatives through modeling of data.
Maintains competency in the various data repository systems used throughout the business.
Serves as a subject matter expert, provides extensive business and technical analysis based on client needs.
Interprets financial trends, identifies financial deviations from expected performance and reports financial results to various business units within the organization.
Develops data mining techniques and experiments to measure performance, manage the risk of key investments and improve predictive models to increase forecast accuracy.
Writes and executes advanced queries to extract data from source systems including SQL and python.
Validates data against source systems to ensure completeness and accuracy, and follows up on data issues to ensure resolution.
Performs complex and extensive Extract Transform Load (ETL) activities to modify datasets for analysis.
Leads collaboration with stakeholders to identify data analytics use cases that align with organizational goals and strategic priorities.
Drives the development of use case documentation, including objectives, scope, success criteria, and implementation roadmap.
Drives collaboration between data scientists and engineers to translate use case requirements into technical specifications and data models.
Provides operational expert guidance to internal teams and business stakeholders on data analytics strategies and initiatives.
Monitors test performance and analyzes results using statistical techniques to identify significant insights and inform decision-making.
Develops and supports data science use cases.
Assists in training and developing team members to retain a motivated and professional workforce.
Collaborates with team members and communicates relevant information to leadership.
Complies with ALDI privacy and security requirements and policies if job responsibilities include possible access to confidential and/or sensitive information.
Other duties as assigned.

Bachelor's Degree in Business, Computer Science, Engineering, Mathematics, Statistics, Finance or a related field required.
A minimum of 5 years of progressive experience in analytics or an analytical role required.
Experience using APT applications (Applied Predictive Technologies) preferred.
Experience working in relational and cloud databases to extract, move, and automate data pipelines for use in analytics projects preferred.
Experience with prompt engineering and use of generative AI tools for coding and analysis support preferred.
Experience with statistical data modeling principles, methods, and best practices preferred.

Full-Time position
Starting Salary: $112,500
Salary Increases: Year 2 - $120,000 | Year 3 - $127,000
Eligible to participate in ALDI's Hybrid Work Program, allowing remote work up to 3 days per week.

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