Mindlance · 19 hours ago
Data Analytics Analyst 2
Birmingham, AL
Full-time
Onsite
Mid Level
3+ years expMindlance is a company focused on data-driven solutions, and they are seeking a Data Analytics Analyst 2 to support enterprise reporting and analytics products. The role involves working with large datasets in a cloud-based environment and troubleshooting data quality issues.
Human Resources
Responsibilities
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
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
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
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
Ability to translate business questions into efficient analytical dataset
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
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
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
Ability to translate business questions into efficient analytical dataset
Demonstrated attention to detail with a strong focus on data accuracy and reliability
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
Company
Mindlance
Mindlance is a Staffing and Recruiting company which provides multi-vertical staffing services
1001-5000 employees
H1B Sponsorship
Mindlance 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 (71)
2024 (53)
2023 (37)
2022 (72)
2021 (36)
2020 (40)
Funding
Current Stage
Late StageLeadership Team
R
Rajat Paul Dhall
Co-Founder & Managing Director
V
Vik Kalra
Co-Founder and Managing Director
Recent News
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