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Lynker Corporation
Data Analyst I — Geospatial and Water Resources
Entry-Level JobVerifiedNo experience needed
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What they do
A Water Resource Specialist samples water, analyzes samples, and provides information on environmental or health risks. Assists local and state governments with planning and watershed resource management. May specialize as an environmental scientist. May work as a water or wastewater treatment plant operator.
$103,705 / year median in Colorado
Job Description
Overview Lynker Corporation is a leading provider of innovative solutions in weather and climate science. With a commitment to excellence and a passion for innovation, Lynker leverages cutting-edge technologies and scientific expertise to support the creation and delivery of improved operational weather forecasts. As part of our ongoing growth and expansion, we are seeking a dynamic and experienced Data Analyst I to join our growing team. Responsibilities Duties of the Data Anaylst Iwill include the following: Acquire, clean, and integrate national-scale geospatial and hydrologic datasets, including surface water hydrography, wetlands inventories, soils, terrain, land cover, and gaged streamflow and precipitation records. Write and maintain repeatable data processing scripts in Python and SQL, under version control, with documented inputs, parameters, and outputs. Run QA/QC checks on derived geospatial products and model outputs; find spatial and attribute errors, quantify how widespread they are, and escalate what you can't resolve. Assemble validation and reference datasets from field-verified and independently mapped sources, and produce accuracy summaries (confusion matrices, error rates by class and by region) using methods defined by the technical lead. Produce the tables, figures, maps, and summary statistics that go into technical memoranda, monthly reports, and client review meetings. Maintain metadata, data dictionaries, and versioned data releases sufficient for a government client to reproduce results independently. Work with cloud storage and analysis-ready formats (S3, GeoParquet, cloud-optimized GeoTIFF, Zarr) to keep large datasets usable by the broader team. Coordinate day to day with partner-organization analysts and developers on shared data standards and hand-offs. Qualifications The Data Analyst I selected should have the following: Bachelor's degree in data science, statistics, computer science, geography, GIS, environmental science, hydrology, engineering, or a related quantitative field. A master's degree in a relevant field may substitute for experience. 0-2 years of professional or internship experience in data analysis, data engineering, or software development. Working proficiency in Python for data work, including pandas, plus the ability to pick up new libraries quickly. Proficiency with SQL and relational databases. Familiarity with Git and collaborative code review. Demonstrated experience carrying a technical task from raw data to a finished, documented result — coursework, capstone, internship, or open-source work all count.