Data Analytics Analyst
Artech LLC
BIRMINGHAM, AL
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JOB DETAILS
LOCATION
BIRMINGHAM, AL
POSTED
30+ days ago
Location: BIRMINGHAM, AL
Duration: 3+ years
Experience
- 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
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, performance optimization
- Writing and maintaining reusable, well-documented queries
- Cloud data platforms
- Hands-on experience with Databricks, Azure Synapse, Snowflake, BigQuery, or similar
- 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 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 when working with geospatial data 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
About the Company
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