LanceSoft, Inc. · 21 hours ago
Data Analytics Analyst 2 - DAA2
Birmingham, AL
Full-time
Hybrid
Mid Level
$40/hr - $43.39/hr
3+ years expLanceSoft, Inc. is seeking a Data Analytics Analyst 2 to support their data analytics and business intelligence efforts. The role involves working with large datasets, troubleshooting data quality issues, and creating visualizations to support enterprise reporting and analytics products.
Information Technology
Responsibilities
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
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
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
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
Ability to translate business questions into efficient analytical datasets
Demonstrated attention to detail with a strong focus on data accuracy and reliability
Qualification
Required
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, 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
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
Preferred
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
Domain & Business Experience
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
Company
LanceSoft, Inc.
Established in 2000, LanceSoft is a pioneer in delivering top-notch Global Workforce Solutions and IT Services to a diverse clientele.
5001-10000 employees
H1B Sponsorship
LanceSoft, Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (55)
2024 (32)
2023 (23)
2022 (25)
2021 (60)
2020 (80)
Funding
Current Stage
Late StageLeadership Team
Ram Karuppusamy
Chairman & CEO
Simon Dealy
Chief Financial Officer
Company data provided by crunchbase