1

Senior Spatial Data Analyst Jobs in Michigan (NOW HIRING)

AP Human Geography Tutor

Detroit, MI · Remote

$18 - $40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question construction for AP Human Geography. Guides students through interpreting population pyramids ...

Skilled at teaching geographic model application, spatial data analysis, and free-response question construction for AP Human Geography. Guides students through interpreting population pyramids ...

Skilled at teaching geographic model application, spatial data analysis, and free-response question construction for AP Human Geography. Guides students through interpreting population pyramids ...

Product Data Analyst

Three Rivers, MI · Hybrid

$72K - $94K/yr

As a Product Data Analyst, you will play a key role in analyzing player behavior and product usage ... Support forecasting and behavioral modeling with guidance from senior analysts Experimentation & A ...

Data Center Project Analyst

Detroit, MI · On-site

$119K/yr

Associates receive training, while being mentored by senior IT consultants and Project Managers ... Develop data center white space blueprints for power distribution, cabinet spatial layouts, and hot ...

Collect, clean, organize, and validate spatial and tabular datasets. * Perform GIS analysis using ... Support field data collection. * Assist with project tracking, reporting, and quality assurance.

Lead in the production of research and analysis to quantify the impact of internal and external environments on portfolio performance. The Senior Data Scientist is the subject matter expert with an ...

Showing results 21-40

Senior Spatial Data Analyst information

How does a senior spatial data analyst typically collaborate with other teams within an organization?

Senior Spatial Data Analysts often work closely with multidisciplinary teams, such as GIS specialists, data engineers, urban planners, and decision-makers, to translate spatial data into actionable insights. Collaboration usually involves gathering project requirements, sharing spatial analyses, and presenting findings in clear visual formats. Analysts may also be called upon to provide technical expertise during project planning sessions and to support colleagues in understanding how spatial data can inform business strategies. This collaborative environment not only enhances project outcomes but also encourages continuous professional growth through knowledge sharing.

What is a senior spatial data analyst?

Senior Spatial Data Analysts are experienced professionals who specialize in analyzing and interpreting spatial or geographic data using tools such as Geographic Information Systems (GIS). They manage large datasets, perform spatial modeling, and generate maps or visualizations to support decision-making in various industries such as urban planning, environmental science, and logistics. Senior analysts often lead projects, mentor junior staff, and develop methodologies to solve complex spatial problems. Their expertise is crucial for organizations that rely on accurate geographic data to make strategic decisions.

What is the difference between Senior Spatial Data Analyst vs GIS Analyst?

AspectSenior Spatial Data AnalystGIS Analyst
Required CredentialsBachelor's or Master's in Geography, GIS, or related field; experience in spatial analysisBachelor's in Geography, GIS, or related field; some roles may require certifications
Work EnvironmentAdvanced projects, data management, and analysis; often in urban planning, environmental, or government sectorsData mapping, GIS software operation, and spatial data visualization in various industries
Employer & Industry UsageGovernment agencies, environmental firms, urban planning departmentsMunicipalities, consulting firms, environmental agencies

The Senior Spatial Data Analyst typically handles complex spatial data analysis, project leadership, and data management, often requiring more experience and advanced skills than a GIS Analyst. While both roles work with GIS software and spatial data, the Senior role involves higher-level decision-making and project oversight.

What are the key skills and qualifications needed to thrive as a senior spatial data analyst, and why are they important?

To thrive as a Senior Spatial Data Analyst, you need advanced expertise in GIS, spatial data analysis, and data management, typically supported by a relevant degree in geography, computer science, or a related field. Mastery of GIS software (such as ArcGIS or QGIS), programming languages (like Python or R), and familiarity with spatial databases are essential, along with certifications like GISP being advantageous. Strong problem-solving, attention to detail, and effective communication help you interpret complex data and convey insights to stakeholders. These skills ensure accurate spatial analysis, support strategic decision-making, and drive project success in data-driven environments.
What are the most commonly searched types of Spatial Data Analyst jobs in Michigan? The most popular types of Spatial Data Analyst jobs in Michigan are:
What are popular job titles related to Senior Spatial Data Analyst jobs in Michigan? For Senior Spatial Data Analyst jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Senior Spatial Data Analyst jobs in Michigan look for? The top searched job categories for Senior Spatial Data Analyst jobs in Michigan are:
What cities in Michigan are hiring for Senior Spatial Data Analyst jobs? Cities in Michigan with the most Senior Spatial Data Analyst job openings:
Infographic showing various Senior Spatial Data Analyst job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Aftermarket Business Data Analyst

Orbotech

Ann Arbor, MI

$77K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Group/Division

The KLA Services team headquartered in Milpitas, CA is our service organization that consists of Service Sales and Marketing, Spares Supply Chain management, Field Operations, Engineering, Product Training, and Technical Support. The KLA Services organization partners with our field teams and customers in all business sectors to maintain the high performance and productivity of our products through a flexible portfolio of services. Our comprehensive services include: proactive management of tools to identify and improve performance; expertise in optics, image processing and motion control with worldwide service engineers, 24/7 technical support teams and knowledge management systems; and an extensive parts network to ensure worldwide availability of parts.

Job Description/Preferred Qualifications

KLA is seeking a highly analytical and innovative Aftermarket Business Data Analyst to support strategic decision-making across our global service and aftermarket operations. In this role, you will transform complex business data into actionable insights that drive operational excellence, inventory optimization, forecasting accuracy, and business performance.

The ideal candidate combines strong technical and analytical capabilities with business acumen and effective communication skills. You will partner closely with Demand Planning, Supply Chain, Operations, Finance, and IT teams to develop data-driven solutions that improve key business outcomes and support strategic initiatives.

Key Responsibilities

  • Analyze large and complex datasets to identify trends, risks, opportunities, and root causes impacting business performance.
  • Develop and maintain Power BI dashboards, reports, and visualizations that enable data-driven decision-making across the organization.
  • Partner with stakeholders to gather requirements, define business needs, and translate those needs into scalable analytics solutions.

  • Serve as a bridge between business and technical teams, ensuring alignment on requirements, capabilities, and project objectives.

  • Build data models, predictive analytics, and forecasting tools to improve planning and operational effectiveness.

  • Write and optimize SQL queries and leverage Python or other analytical tools to automate reporting and perform advanced analyses.

  • Support inventory optimization, fill-rate performance, supply-demand balancing, and forecasting initiatives.

  • Present findings and recommendations to audiences ranging from operational teams to senior leadership.

  • Lead and contribute to cross-functional projects focused on process improvement, business intelligence, and operational excellence.

Preferred Qualifications:

  • Experience with Power BI, DAX, Power Query, Plotly, Python, SQL, Snowflake, or SAP HANA.

  • Knowledge of supply chain planning, demand forecasting, inventory optimization, and service operations.

  • Experience in high-mix, low-volume manufacturing environments.

  • Understanding of MRP processes, BOM structures, FRU planning, and aftermarket operations.

  • Experience building predictive models and advanced analytical frameworks.

  • Familiarity with modern analytics and AI tools, including Claude Code, Copilot, and other data automation technologies.

  • Bachelor's degree in Computer Science, Statistics, Data Analytics, or a related field with 5+ years of relevant experience OR

  • Master's degree in a related field with 3+ years of relevant experience.

  • Strong proficiency in data analysis, visualization, and reporting tools.

  • Advanced analytical and problem-solving skills.

  • Excellent communication and stakeholder management abilities.

  • Demonstrated success leading or supporting cross-functional business initiatives.

Minimum Qualifications

  • 5 years of related with experience with a bachelor's degree; or 3 years experience with a master's degree; or equivalent experience

Base Pay Range: $77,800.00 - $132,300.00 AnnuallyPrimary Location: USA-MI-Ann Arbor-KLAKLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us attalent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.