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Sr. Data & Business Intelligence Platform Analyst

Job in Grand Rapids, Kent County, Michigan, 49528, USA
Listing for: Amway
Full Time position
Listed on 2025-12-17
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 105800 - 130694 USD Yearly USD 105800.00 130694.00 YEAR
Job Description & How to Apply Below

Posting

Start Date:

12/12/25

Posting

Location:

Ada (Grand Rapids), MI

Requisition

Department / Division: Technology Enterprise Solutions/Technology

Salary Range: $105,800/yr - $130,694/yr, plus bonus

Location: Ada, MI (Corporate)

Note:

Amway does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need Amway immigration sponsorship (e.g., H-1B, STEM OPT, TN, etc.) now or in the future.

What we’re looking for:

We are seeking a skilled and motivated Data & BI Platform Specialist to manage, optimize, and support our end-to-end data analytics environment. This role is crucial for transforming raw data into actionable insights, ensuring seamless operation of our data pipelines and visualization tools, and maintaining our cloud-based data infrastructure on Google Cloud Platform (GCP). The ideal candidate will serve as the subject matter expert for Amway’s data analytics tools, such as Alteryx, Tableau, Tealium, and Heap, enabling data-driven decision-making across the organization.

Key Responsibilities
  • Platform Administration & Support :
    Administer and maintain Amway’s analytics platform tool environments, including installation, upgrades, patching, performance tuning, and user access management.
  • Data Pipeline Development :
    Design, build, and maintain scalable data pipelines and Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) processes using Alteryx and GCP tools such as Big Query, Dataflow, or Pub/Sub.
  • BI & Data Visualization :
    Develop, maintain, and optimize interactive dashboards, reports, and data visualizations in Tableau to track key performance indicators (KPIs) and operational metrics.
  • Data Modeling & Quality :
    Work with data engineers and analysts to design data models, ensure data quality and integrity, and troubleshoot data discrepancies to provide reliable data sources for reporting.
  • Collaboration & Training :
    Partner with business stakeholders across various departments (Marketing, Sales, Finance, Operations) to gather requirements, translate business needs into technical specifications, and provide training and support to end-users.
  • Automation & Optimization :
    Identify, design, and implement internal process improvements, including automating manual tasks and optimizing existing workflows for greater efficiency and scalability.
  • Documentation & Governance :
    Create and maintain comprehensive documentation for server configurations, data processes, workflows, and best practices to ensure compliance and knowledge sharing.
Day to Day –
  • Monitoring Service Now tickets coming into the team for the Data and BI tools from end users
  • Proactively monitoring platforms for quality and efficiency
  • Scheduling and managing upgrades and patches
  • Development for ETL into GCP

There will minimal expectation of travel in this role, mainly to professional conferences or team collaboration. This is a global Agile team that works in weekly sprints.

Required qualifications:
  • Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related quantitative field.
  • 5 years of experience in data analytics, business intelligence, or data engineering
  • Expertise in platform administration, data preparation, blending, and workflow automation.
  • Advanced skills in
    SQL
    for data extraction, manipulation, and querying.
Preferred Qualifications (but not required)
  • Experience with other programming languages like Python or Java.
  • Hands‑on experience with Alteryx, Tableau, and Google Cloud Platform
  • Relevant certifications such as Alteryx Server Certified,Tableau Desktop Specialist, or Google Cloud Professional Data Engineer.
  • Familiarity with Tealium and Heap for digital analytics.
  • Familiarity with data warehousing concepts and data governance frameworks.
Skills to be successful in this role :
  • Communication & Analytical

    Skills:

    Demonstrates strong analytical thinking and clear communication by translating complex technical findings into actionable insights for non-technical stakeholders, enabling informed decision-making across the organization.
  • Problem-Solving & Optimization: Proactively identifies and resolves technical issues, implements performance improvements, and ensures system…
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