Data Analytics Analyst II 4P/526
- Compensation
- Not disclosed
- Location
- Birmingham, AL
- Work setup
- Not specified
- Seniority
- Middle
- Employment
- Contract
- Experience
- 3+ years
- Category
- Data analytics
- Posted
Skills
Must have
- 3–5 years of professional experience in data analytics, business intelligence, or a related role
- Proven experience working with large datasets in cloud environments
- Advanced SQL proficiency (required)
- Experience supporting enterprise dashboards and analytics products
- Strong analytical, problem-solving, and troubleshooting skills
- Ability to work independently while collaborating with data engineers and SMEs
- Strong written and verbal communication skills
Nice to have
- Experience with Power BI
- Experience within the Microsoft Azure ecosystem, including: Azure Data Factory Azure SQL Azure Data Lake Storage (ADLS)
- Experience with PySpark or Python for data analysis and transformations
- Familiarity with ETL / ELT pipelines and orchestration concepts
- Experience using version control systems (Git or similar)
- Basic understanding of data governance, lineage, or metadata management
Full description
Data Analytics Analyst II
Experience Level: 3–5 Years
Location- Birmingham, AL ( ONSITE)
Client- Alabama Power
Contract- 3 years
Position Summary
The Data Analytics Analyst II supports enterprise analytics, reporting, and data-driven decision-making by working with large, complex datasets in cloud-based environments. This role partners closely with data engineers, business stakeholders, and subject matter experts to ensure accurate, reliable, and well-structured data for dashboards, reports, and analytical products.
The ideal candidate brings strong SQL expertise, experience with cloud data platforms, and the ability to troubleshoot data quality and pipeline issues in a fast-paced, enterprise environment.
Key Responsibilities
Data Analysis & Reporting
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Analyze large, complex datasets to support enterprise reporting and analytics products
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Support and maintain dashboards and reports using Power BI, Tableau, or similar BI tools
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Translate business questions into efficient, analytics-ready datasets
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Ensure datasets are optimized for visualization performance and usability
SQL & Data Development
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Write, optimize, and maintain advanced SQL queries, including:
-
Complex joins
-
CTEs
-
Window functions
-
Performance optimization
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Develop reusable, well-documented SQL assets
Cloud Data Platforms
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Work with cloud-based data platforms such as:
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Databricks
-
Azure Synapse
-
Snowflake
-
BigQuery (or similar)
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Understand and support data ingestion flows from source systems to cloud storage and analytics layers
Data Modeling & Transformation
-
Structure data for analytics using:
-Fact and dimension models