Spanco Solutions

Geospatial Lead Analyst - Azure Data Factory - Remote

Spanco Solutions United States

JOB TITLE: GEOSPATIAL LEAD ANALYST

LOCATION: REMOTE

Job Summary

We are seeking a Geospatial Lead Analyst (Business Associate) with 10-13 years of experience, skilled in Azure Data Factory and Data Architecture. This role is pivotal in leveraging geospatial analytics to drive our business strategies and decision-making processes, ensuring optimal data management and analysis practices.

Required Skills: Azure Data Factory, Data Architect

Roles & Responsibilities –

  • Lead the development and implementation of geospatial data processes using Azure Data Factory.
  • Design and maintain robust data architectures to support geospatial analysis needs.
  • Collaborate with cross-functional teams to integrate geospatial analytics into broader business solutions.
  • Ensure data quality and integrity in geospatial datasets and analytics outputs.
  • Provide expert guidance on geospatial data modeling and analysis techniques.
  • Stay abreast of industry trends and advancements in geospatial technology and data analysis methods.
  • Optimize data workflows and processes for efficiency and scalability. - Facilitate the translation of business requirements into technical specifications for geospatial data projects.
  • Conduct regular reviews and updates of geospatial data architectures to meet evolving business needs.
  • Mentor junior analysts in geospatial data analysis and Azure Data Factory utilization.
  • Drive innovation in geospatial analytics to enhance business decision-making and strategic planning. -Qualifications - Proven experience in Azure Data Factory and data architecture is mandatory. - Strong background in geospatial data analysis and management.
  • Proficient in designing and implementing data solutions to support geospatial analytics.
  • Excellent problem-solving skills and ability to work in a dynamic environment. - Effective communication and collaboration skills.
  • Ability to lead projects and mentor team members. - Commitment to staying current with industry trends and advancements in data technology. - Experience in cross-functional project management and execution.
  • Seniority level

    Mid-Senior level
  • Employment type

    Full-time
  • Job function

    Information Technology
  • Industries

    IT Services and IT Consulting

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