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

Geospatial Data Analyst - Python

Job Description