Manager, Data Eng & Analytics

Overview

Good people, working with good people, for our common good.

KeHE—a natural, organic, specialty and fresh food distributor—is all about "good" and is growing, so there's never been a more exciting time to join our team. If you're enthusiastic about working in an environment with a people-first culture and an organization committed to good living, good food and good service, we'd love to talk to you!

Pay and Benefits

• Full-time
• Pay Range: $/Yr.
  
  - $/Yr.
• Benefits on Day 1
• Health/Rx
• Dental
• Vision
• Flexible and health spending accounts (FSA/HSA)
• Supplemental life insurance
• 401(k)
• Paid time off
• Paid sick time
• Short term & long term disability coverage (STD/LTD)
• Employee stock ownership (ESOP)
• Holiday pay for company designated holidays

The Manager is responsible for driving the development of KeHE digital products and platforms in our Data Engineering and Analytics arena acting as a key innovator and contributor to the ultimate success of the product(s). This role will serve as the customer proxy responsible for working with Product teams and other stakeholders. This role will work independently and partner closely with leadership to optimize and redefine the product vision and feature opportunities, explore the feasibility and benefits of new capabilities, and translate these into tangible value.

As with all positions at KeHE Distributors, we expect that all actions will be consistent with the KeHE Mission, Vision, and Values.

DUTIES, TASKS AND RESPONSIBILITIES:

• Owns the Solution Architecture and ensures best practices and internal processes are followed when solutions are designed and implemented
• Create and own standards and templates to streamline the data pipelines and engineering processes
• Ability to work on multiple projects and tasks with overlapping time frames and facilitate construction of 90-day forecast
• Collaborate with cross-functional teams for effective management of the Data and Analytics environment.
• Lead engineering teams in timely delivery of products working closely with product and stakeholders
• Manage identification of data sources, provide data flow diagrams, and document source to target mapping and process.
• Effectively lead and collaborate with engineering and database teams respectively to manage the data warehouse performance by optimizing batch processing through parallelization, performance tuning, aggregations etc.
• Recognize and adopt best practices in developing analytical insights including data integrity, analysis, test design, validation, and documentation.
• Proactively promotes data quality and security through recommended approaches and practices
• Create a collaborative environment where different options are valued and encouraged
• Provide guidance and mentor team members
• Keep up with current data trends and technological innovations
• Execute on POC’s with new technologies, drive innovation, and new ideas
• Other duties as assigned.

Education and Experience

• Ability and experience in leading teams
• Strong understanding data modeling (i.e. conceptual, logical and physical model design, experience with Operation Data Stores, Enterprise Data warehouses and Data Marts).
• Strong experience with business intelligence and data warehousing design principles and industry best practices including multi-dimensional modelling (star schemas, snowflakes, de-normalized models, handling “slow-changing” dimensions)
• Effective problem-solving and analytical skills. Ability to manage and prioritize multiple projects and report simultaneously across different stakeholders.
• Expert knowledge on T-SQL / DAX, Python, and microservice/cloud architectures/pipelines.
• Strong communication skills, both verbally, and written
• Strong work ethic and ability to work in a dynamic environment
• Empathetic leader with leadership skills
• Ability to learn and apply new technologies to business problems
• Ability to learn and adapt quickly to changing data landscape

• Knowledge of modern development techniques:
  Agile (Scrum, Kanban)
• Experience with automation using but not limited to Java, C#, Python, Pyspark

EDUCATION AND EXPERIENCE:

• Bachelor’s degree in Computer Science or related…