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Local Lidar Data Analyst Jobs in Iowa (NOW HIRING)

Data Director

Des Moines, IA · On-site

$140 - $220/hr

... local community initiatives. Responsibilities Enterprise Data Strategy & Direction * Establish the enterprise data strategy and target‑state architecture that supports analytics, AI, and ...

... local community initiatives. Responsibilities Enterprise Data Strategy & Direction * Establish the enterprise data strategy and target-state architecture that supports analytics, AI, and decision ...

Data and Analytics (CA) Title: Part-Time Student - Data Science and Analytics - Urbandale, IA or ... S/local accredited university/college * Cumulative GPA of 3.0 or above. * Must be able to commute ...

On-site days as described will be required for this role (with flexibility, of course!), local ... Position will primarily work on data and analytics related projects, with the potential to expand ...

Showing results 21-40

Local Lidar Data Analyst information

What is a local lidar data analyst?

Local Lidar Data Analysts are professionals who specialize in collecting, processing, and interpreting Lidar (Light Detection and Ranging) data for specific geographic areas. They work with point cloud data generated by Lidar sensors to create detailed maps and models of terrain, infrastructure, and vegetation. Their work is crucial for applications such as urban planning, environmental monitoring, and disaster management. By analyzing local Lidar data, they help organizations make data-driven decisions based on accurate, high-resolution spatial information.

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

To thrive as a Local Lidar Data Analyst, you need strong skills in geospatial analysis, data processing, and a background in geography, GIS, or remote sensing. Familiarity with software such as ArcGIS, QGIS, and lidar-specific tools like LAStools, along with certifications in GIS or remote sensing, is typically required. Attention to detail, problem-solving, and effective communication are essential soft skills for interpreting complex data and collaborating with teams. These skills ensure accurate data analysis and actionable insights, which are critical for supporting projects in urban planning, environmental monitoring, and infrastructure development.

What are some common challenges faced by a local lidar data analyst when processing and interpreting geospatial data?

A Local Lidar Data Analyst often encounters challenges such as managing large volumes of data, ensuring data accuracy, and filtering out noise caused by environmental factors like vegetation or weather. Interpreting Lidar point clouds requires attention to detail and proficiency with specialized software tools. Collaborating with GIS professionals and field survey teams is essential to validate data and integrate findings for mapping, urban planning, or infrastructure projects.

What is the difference between Local Lidar Data Analyst vs GIS Analyst?

AspectLocal Lidar Data AnalystGIS Analyst
Required CredentialsBachelor's in Geomatics, Geography, or related field; lidar certification preferredBachelor's in Geography, GIS, or related field; GIS certifications advantageous
Work EnvironmentField data collection, data processing, and analysis in urban or rural settingsOffice-based GIS mapping, spatial analysis, and data management
Industry UsageUrban planning, infrastructure, environmental monitoringUrban planning, environmental management, transportation

While both roles involve spatial data analysis, the Local Lidar Data Analyst specializes in processing and analyzing lidar point cloud data, often involving fieldwork and lidar-specific tools. The GIS Analyst focuses on geographic information systems, mapping, and spatial data management. Both roles are essential in geospatial industries but differ in data types and daily tasks.

What cities in Iowa are hiring for Local Lidar Data Analyst jobs?

Cities in Iowa with the most Local Lidar Data Analyst job openings:

Data Director

Kemin

Des Moines, IA • On-site

$140 - $220/hr

Other

Retirement, PTO

Posted 25 days ago


Job description

Overview

The Director of Data defines Kemin’s enterprise data strategy and provides architectural direction, standards, and prioritization to enable analytics, business intelligence, and AI initiatives. Operating within a hybrid model, this role sets enterprise data architecture expectations and governance while closely partnering with IT teams responsible for execution and platform operations. The Director of Data aligns data priorities with business, Operations, R&D, Finance, etc. needs, restores trust in enterprise data, and ensures data investments translate into measurable business value.

Join the Kemin Team and Transform Lives!

We are a privately held, family-owned-and-operated global biotechnology company driven by curiosity and committed to transforming the quality of life for people, pets, and the planet.

We create solutions that strengthen health and wellbeing, provide nutrition and immune support for pets and production animals, safeguard the planet’s natural resources, and protect the global food supply chain for generations to come.

We supply over 500 specialty ingredients for various industries, including human and animal health and nutrition, pet food, aquaculture, nutraceutical, food technologies, crop technologies, textiles, biofuels, and animal vaccines.

We employ 3,500 global employees and operations in 90 countries, including manufacturing facilities in Belgium, Brazil, China, Egypt, India, Italy, San Marino, Singapore, South Africa, and the United States.

As a valued member of our team, you'll enjoy a comprehensive benefits package designed to support your financial, physical, and professional well-being:

  • Competitive Financial Package: Enjoy a rewarding salary, uncapped bonus opportunities, a 401k match program, and generous paid vacation and holidays.
  • Health and Wellness Support: Stay fit and healthy with our fitness reimbursement for the whole family, access to an on‑site fitness center, a restaurant offering seasonal fresh food options, and free fresh fruit in break areas.
  • Career Development and Advancement: Unlock your potential with opportunities for growth and development throughout your entire career.
  • Continued Learning Opportunities: Grow your skills with our in‑house learning platforms, offering thousands of training resources both live and online, and take advantage of tuition reimbursement for external post‑secondary pursuits.
  • Service Opportunities: Make a positive impact with paid time off for service, partnerships with The World Food Programme and Habitat for Humanity, and local community initiatives.
Responsibilities

Enterprise Data Strategy & Direction

  • Establish the enterprise data strategy and target‑state architecture that supports analytics, AI, and decision‑making use cases.
  • Translate business, Operations, Finance, R&D, etc. priorities into clear data architecture and sequencing guidance.
  • Define what "analytics-ready" and “AI-ready” data means at Kemin and ensure alignment across teams.

Data Standards & Oversight

  • Define and maintain data standards, patterns, and design principles for structured and unstructured data.
  • Provide functional leadership and architectural direction to data architecture resources operating within IT.
  • Chair or co‑chair architecture governance forums to review designs, resolve tradeoffs, and approve exceptions.

Data Governance, Quality & Trust Enablement

  • Define governance frameworks, roles, and accountability models aligned to high‑value data domains.
  • Set data quality thresholds and improvement priorities based on analytics and AI business needs.
  • Partner with IT and business data owners to remediate critical data quality issues and improve usability.

Data Analytics and Data Engineering

  • Define platform expectations and workload strategies (e.g., Databricks, Fabric) to support analytics and AI use cases.
  • Partner with IT to ensure platform decisions are aligned to data strategy rather than infrastructure convenience alone.
  • Ensure priority AI pilots and analytics initiatives are supported by appropriate data foundations and pipelines.

Cross Functional Leadership & Development

  • Partner with Finance to define ROI measurement frameworks and baseline metrics for data and AI investments.
  • Align stakeholders on priorities, trade offs, and sequencing when data quality or architecture constraints exist.
  • Communicate data strategy, progress, and risks clearly to senior leadership in business terms.
Qualifications
  • Education and Experience:
    • Bachelors Degree in Data Science, Computer Science, or Analytics with 10+ years of related experience.
  • Strong executive communication skills; able to translate data strategy into business outcomes for non-technical leadership.
  • Background in manufacturing, life sciences, chemicals, CPG, or other R&D-intensive, data-complex environments.
  • Demonstrated success improving data quality, trust, and usability across fragmented systems and legacy platforms.
  • Experience partnering with IT architecture and engineering teams while setting enterprise data standards, priorities, and design expectations.
  • Strong understanding of modern data platforms (e.g., lakehouse architectures) and their role in enabling analytics and AI.
  • Proven ability to influence senior stakeholders and drive alignment without direct authority.
  • Experience establishing or scaling data governance frameworks, stewardship models, or domain ownership structures.

We are an equal opportunity employer. We consider all qualified applicants without regard to race, color, creed/religion, national origin, ancestry, citizenship or immigration status (where applicable), sex, sexual orientation, gender identity or expression, pregnancy/childbirth/breastfeeding or related conditions, age (40+), disability (including the use of a service animal), genetic information, marital status, familial or caregiver status, military or veteran status, status as a victim of domestic violence, reproductive health decision‑making, and any other status protected by applicable federal, state, or local law. We also prohibit retaliation for raising concerns or participating in an EEO process. Applicants who need a reasonable accommodation to apply or interview can email TalentAcquisition.US@Kemin.com.

A post-offer background check and drug screen is required. Additional pre-employmentrequirementsmay be necessarybased onposition.

Kemin is a drug-free and tobacco-free campus.

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