This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Lynker Corporation is seeking a dynamic and experienced GIS Specialist to join our growing team. The Office of Coast Survey (OCS) manages the National Oceanic and Atmospheric Administration (NOAA) nautical charting and data collection and information programs. OCS manages an integrated suite of programs in hydrography and cartography to help protect life and property, support economic growth and development, and protect the environment in support of the overall mission to promote safe navigation. The External Source Data Team (ESD) plays a crucial role in augmenting NOAA's hydrographic survey data collection efforts. ESD is responsible for the critical tasks of vetting, managing, and cleaning data received from a diverse range of providers. All external source data managed by ESD directly feeds into the National Bathymetric Source (NBS) Program, a key component of NOAA's nautical chart modernization. Support is needed by ESD to process external source data, including ensuring the quality, usability, and efficient integration of externally sourced bathymetry data into OCS navigation products. - Reviewing bathymetry data and metadata to assess suitability for Office of Coast Survey (OCS) navigation product updates. - Investigating submissions from external source data providers to verify validity of data packages and inform appropriate use of data submissions based on hydrographic data quality attributes. - Processing submitted data to OCS standard formats and prepare data for ingestion into the National Bathymetric Source. - Participating in the research and development of improved data review and data management workflows, and other special projects as needed. Qualifications - Bachelor’s degree in hydrography, ocean mapping, physical science, marine science, oceanography, computer science, engineering, physics, mathematics, or related discipline (4 years of experience is equivalent to a Bachelor’s degree). - 5-7 years in GIS, Computer Mapping, and/or Charting fields. - 2-4 years in Hydrography. - Experience includes: - Data analysis and GIS. - Software development including Python, Integrated Development Environments, debugging principles, continuous integration testing and automated documentation. - Databases and queries in PostgreSQL. - Geospatial applications such as QGIS, libraries such as Geospatial Data Abstraction Library (GDAL), and OGC web services. - Horizontal and vertical datums as well as transformations in the context of point and raster data. - Version control best practices and experience with version control software such as Git. - Mapping standards and techniques. - Container-based software development and deployment platforms. Requirements - Expertise in data management, relational databases, database development. - Knowledge of scientific principles that support bathymetric information collection, such as acoustics, optics, models, remote sensing, etc. - Knowledge of common bathymetric data formats, emphasis on open-sourced formats, and pros/cons of various formats. - Experience with identifying opportunities for effective automation and workflow development. - Familiar with standard concepts, practices, and procedures of hydrography and hydrographic science. - Familiar with common bathymetric data acquisition systems and capabilities. - Able to work both independently and with others to share information and develop best practices in a dynamic work environment. - Exhibits strong critical thinking and the ability to objectively analyze information, evaluate data, and make well-reasoned decisions to solve problems effectively and improve outcomes. - Good attention to detail and strong organizational skills to ensure complete and accurate assessment of bathymetry data packages. - Effective in both verbal and written modes of communication. Benefits - Comprehensive healthcare for the employee at no monthly cost. - Healthcare benefit covers medical, prescription drug, dental, and vision. - Personal Time Off (PTO) Policy plus paid holidays. - Highly competitive compensation plan regularly calibrated against industry and location benchmarks. - 401(k) retirement plan with company-matching. - Employee Stock Ownership Plan (ESOP) – we're all company owners! - Flexible spending accounts. - Employee assistance program (EAP). - Short- and long-term disability insurance. - Life and accident insurance. - Tuition assistance/Training/Workforce improvement reimbursement per year. - Spot bonuses for exceptional performance. - Annual Employee Recognition Awards with bonuses. - Employee Referral Program. - Free centralized, self-directed Learning Management System to learn at your own pace. - Personalized career growth plans for every employee.

• Analyze IVR and caller behavior data to identify trends, patterns, and improvement opportunities • Develop and maintain reports and dashboards that track IVR performance and customer experience metrics • Use SQL and Excel to extract, clean, and analyze data from IVR and call center systems • Design and build custom Tableau reports for business and technical stakeholders • Collaborate with Product Owners, Engineers, and business teams to define analytics requirements • Provide data-driven insights to support IVR design, optimization, and operational decisions • Support ongoing measurement of IVR effectiveness and customer journey outcomes • Present findings clearly to both technical and non-technical audiences

• Designing, developing, and maintaining business data and statistical models • Developing insightful KPI reporting dashboards to drive decision-making and performance tracking • Developing reports and dashboards via data mining analytics and reporting tools • Preparing analytics reports in presentation form • Assisting in developing sound data ETL practices and processes • Conducting research and analyze special studies when needed • Creating and updating documentation of process flows and business rules • Maintaining current reports up to date and processing large amounts of data as needed

• Partner with internal teams to understand business needs, analyze data, and support informed decision‑making • Prepare and analyze datasets, develop clear visualizations, and communicate insights • Apply analytics best practices, including data quality, documentation, reproducibility, and appropriate metric use • Manage and deliver analytics projects, ensuring clear timelines, communication, and stakeholder alignment • Collaborate with stakeholders to clarify business questions and recommend relevant analyses, metrics, or KPIs • Prepare, clean, and transform datasets—including large or complex data—using effective blending, validation, and refinement techniques • Conduct intermediate statistical analyses to identify trends, patterns, and drivers • Create accessible and meaningful visualizations using tools such as Tableau or Power BI, tailoring outputs to audience needs • Integrate data and visuals from multiple sources to communicate clear, actionable insights • Lead small or operational analytics efforts, including scoping, task planning, progress tracking, and risk escalation • Support team members through peer reviews, shared resources, and collaborative problem‑solving • Maintain awareness of customer needs, market context, and how business changes affect data interpretation • Use approved AI tools to streamline routine analytics tasks while ensuring accuracy and completeness