Geospatial Data Analyst - Python Job at DenkenSolutions Inc in Birmingham

DenkenSolutions Inc is seeking a Geospatial Data Analyst with Python expertise to join our Birmingham, Alabama team in a hybrid onsite/remote arrangement.
The role centers on Python-based geospatial data processing, analytics, and dashboards, handling large, cloud-based datasets and addressing data quality issues.
The position offers an hourly rate around USD 56 and requires a minimum of three years of relevant experience.
RESPONSIBILITIES
* Experience with geospatial data processing in Python
* Experience supporting enterprise reporting, dashboards, and analytics products
* Demonstrated experience troubleshooting data quality, pipeline, or ingestion issues
REQUIREMENTS
* 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 with geospatial data processing in Python
* 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
TECHNOLOGIES
* Python
* GDAL
* rasterio
* geopandas
* Databricks
* Azure Synapse
* Snowflake
* BigQuery
* Power BI
* Tableau
* PySpark
* Git
* GeoTIFF
* ETL/ELT pipelines
* Spatial indices
TECHNICAL SKILLS & LANGUAGES
* 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
SQL
* Familiarity with joins, CTEs, window functions, and performance optimization
* Writing and maintaining reusable, well-documented queries
CLOUD DATA PLATFORMS
* 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
DATA QUALITY & VALIDATION
* Ability to identify discrepancies between source systems and cloud datasets
* Experience facilitating root-cause analysis and coordinating resolution across teams
ANALYTICS & VISUALIZATION
* Strong understanding of how data structure impacts visualization performance and usability
* Familiarity with bottlenecks when rendering large datasets and their resolution (data binning, downsampling, efficient plotting methods, and memory use)
* Experience using plotting libraries in Python to create charts and graphs
* Experience supporting dashboards and reports using tools such as Power BI, Tableau, or similar enterprise BI platforms
SOFT SKILLS & WORK STYLE
* 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
PREFERRED QUALIFICATIONS
* Background in Atmospheric Science or another Earth Science
* Experience with data visualization (Power BI) is a plus
TECHNICAL PREFERENCES
* 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 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
PROFESSIONAL ATTRIBUTES
* Ability to translate business questions into efficient analytical datasets
* Demonstrated attention to detail with a strong focus on data accuracy and reliability
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