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Sr Business Analyst

Laiba Technologies LLCGrand Rapids, MI🇺🇸United StatesPosted Sep 21, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Grand Rapids, MI, United States
Posted
Yesterday
Lean Six SigmaSix Sigma

Job Description

Job Title : Senior Business Analyst at

Exp:7+ years

OPT is also working

This position is responsible for mining, analyzing, and transforming complex datasets into actionable insights. This role will drive decision-making by designing effective data solutions, using advanced techniques, and clearly communicating findings to key stakeholders.

The achievers and courageous challenge-crushers we seek, have the following characteristics and skills:

What You will Do:

  • Identify relevant data sources and assist in analyzing data quality and applicability.
  • Data Transformation: Clean, manipulate, and structure large datasets for analysis.
  • Visualization & Storytelling: Create compelling visualizations and presentations to convey complex findings.
  • Collaborate with department/function experts to define KPIs, visualizations and dashboards.
  • Identify and implement ways to optimize data collection, storage, and analysis efficiency.
  • Track, maintain and provide current information on the operation's business scorecard.
  • Share knowledge and collaborate cross-functionally to achieve project goals.
  • Other responsibilities as required.

What You Will Bring:

  • 7+ years’ experience as a data analyst, including experience leading projects in supply chain businesses.
  • Experience with data storytelling and distilling complex information into understandable ideas.
  • Experience with Design thinking and Lean thinking.
  • Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field (Master's preferred).
  • Lean Six Sigma training and certification, Greenbelt/ Blackbelt (preferred).
  • Statistical analysis, predictive modeling, and experience with Big Data technologies (desired).
  • Excellent written and verbal communication skills, ability to tailor presentations for diverse audiences.
  • Familiarity with enterprise data pipelines and warehousing.
  • Demonstrated ability to think critically about data and identify trends and anomalies.

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