Geospatial Data Analyst - Python
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Currently, we are looking for talented resources for one of our listed clients. If interested please reply to me with your updated resume or feel free to reach out to me for more details at (949) 774-2432
Hybrid role - 4 days Onsite and 1 day Remote
Job Description:
At our organization, we take our mission and values to heart! We are on a mission to offer more and better jobs all over the world! Our goal is to care for you while you care for our clients and get you paid the highest pay possible. All our associates working with us are expected to embrace our RACE values: R - Results Matter, A- Approachable, C - Care, and E - Emergency i.e. work with a sense of urgency.
For more relevant job opportunities please visit our website: Denken Solutions Careers
Hybrid role - 4 days Onsite and 1 day Remote
Job Description:
- Work Schedule: Monday-Thursday on-site and Friday remote, 8:00am-5:00pm.
- A background in Atmospheric Science or Meteorology is highly preferred.
- A familiarity with Python libraries like GDAL, rasterio, and/or geopandas would be beneficial as well.
- In general, experience with geospatial data processing in Python.
- 3–5 years of professional experience in data analytics, business intelligence, or a related role.
- Proven experience working with large, complex datasets in a cloud-based environment.
- Experience supporting enterprise reporting, dashboards, and analytics products.
- Demonstrated experience troubleshooting data quality, pipeline, or ingestion issues.
- Data Modeling & Transformation.
- Ability to prepare data optimized for analysis, visualization, and dashboard consumption.
- Ability to write robust code that handles edge cases, implements retries, and fails gracefully under error conditions.
- Familiarity with joins, CTEs, window functions, and performance optimization.
- Writing and maintaining reusable, well-documented queries.
- Hands-on experience with Databricks, Azure Synapse, Snowflake, BigQuery, or similar platforms.
- Understanding of how data moves from source systems into cloud storage and analytics layers.
- Ability to identify discrepancies between source systems and cloud datasets.
- Experience facilitating root-cause analysis and coordinating resolution across teams.
- Strong understanding of how data structure impacts visualization performance and usability.
- Familiarity with common bottlenecks when rendering large datasets and their resolution (e.g., data binning, downsampling, efficient plotting methods, and memory use)
- Experience using plotting libraries in a language like Python to create charts and graphs.
- Experience supporting dashboards and reports using tools such as Power BI, Tableau, or similar enterprise BI platforms.
- Strong analytical and problem-solving skills.
- Ability to work independently while collaborating with data engineers and internal SMEs.
- Clear written and verbal communication, especially when explaining data issues or findings.
- Experience prioritizing work across multiple data requests and investigations.
- Background in Atmospheric Science or another Earth Science.
- Experience with data visualization (Power BI) is a plus.
- Experience with PySpark or Python for data analysis and transformations.
- Experience working with GeoTIFFs or other raster datasets.
- Experience with geospatial data and performance optimizations, such as leveraging spatial indices.
- Knowledge of basic statistical concepts like correlation and trend analysis using methods like least-squares fitting.
- Familiarity with the concepts of using multiple threads and/or multiple CPUs to process large datasets quickly.
- Familiarity with ETL / ELT pipelines and orchestration concepts.
- Experience with version control (Git or similar)
- Basic understanding of data governance, lineage, or metadata management.
- Experience in utilities, energy, infrastructure, or regulated industries.
- Familiarity with operational, asset, or time-series data.
- Experience working with imperfect or operational source systems.
- Ability to translate business questions into efficient analytical datasets.
- Demonstrated attention to detail with a strong focus on data accuracy and reliability.
At our organization, we take our mission and values to heart! We are on a mission to offer more and better jobs all over the world! Our goal is to care for you while you care for our clients and get you paid the highest pay possible. All our associates working with us are expected to embrace our RACE values: R - Results Matter, A- Approachable, C - Care, and E - Emergency i.e. work with a sense of urgency.
For more relevant job opportunities please visit our website: Denken Solutions Careers