
Senior Data Analyst - Hybrid - In Person Interview
Raleigh, NC · HybridJobSeen todaySeen in employer's feed today
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At a glance
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Requirements
Credentials this posting asks for.
Job overview
The Senior Data Analyst will design, manage, and optimize enterprise data pipelines, data warehouses, and analytics solutions within Microsoft Azure. The role transforms complex data into business insights and supports advanced analytics using Azure Synapse Analytics, Microsoft Fabric, and Azure AI services. The position is hybrid, with three days per week onsite in Raleigh, North Carolina.
Skills & qualifications
Skills
Qualifications
Full job description
***Mode of Intervew :- In Person Interview *** Very long term project (initial PO for 1 year, expect to go for 4+ years) Hybrid (3Days per week Onsite) at Raleigh-NCCloud services Certification is Mandatory ***
Job Description:-
The client requires the services of a Senior Data Analyst that will help us design, manage, and optimize enterprise data pipelines, data warehouses, and analytics solutions within Microsoft Azure. This role transforms complex data into business insights and drives advanced analytics using Azure Synapse Analytics, Microsoft Fabric, and Azure AI services.
Key Responsibilities
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Design, build, and maintain robust enterprise ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, or PL/SQL procedures.
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Manage and optimize Azure Synapse Analytics (SQL and Spark pools) and Microsoft Fabric Lakehouse.
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Develop, test, and tune complex SQL and PL/SQL scripts, stored procedures, packages, and functions to support data integration.
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Collaborate with business users to define analytical goals and build Power BI-ready datasets.
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Integrate AI and machine learning insights using Azure Machine Learning and Azure OpenAI Service.
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Enforce data governance, quality, and security via Microsoft Purview and Microsoft Entra ID.
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Build cross-functional reporting, dashboards, and predictive analytics models.
Skills/Requirements
Skill Required Years
Experience in enterprise data analytics, engineering, and designing complex ETL workflows. Required 7 Years
Expertise in Azure Synapse Analytics, Azure Data Factory, and cloud data warehousing Required 4 Years
Advanced SQL and PL/SQL skills, including query optimization, performance tuning, and indexing strategies Required 7 Years
Hands-on experience with PySpark, Python, or Scala Required 6 Years
Experience with data modeling, performance tuning, and cost optimization in Azure Required 4 Years
Strong knowledge of Microsoft Entra ID, role-based access control (RBAC), and cloud security Required 3 Years
Familiarity with Power BI semantic models and dataflows Required 3 Years
Knowledge of Azure OpenAI or generative AI data integration Highly desired 3 Years
Ability to organize, prioritize, and follow complex and/or detailed technical procedures Required 7 Years
Experience with Agile (Scrum, Kanban, or SAFe) development Required 3 Years
How this job compares
Set against the 5,371 open Data Analyst jobs on Olive Jobs, counted November 6, 2026.
- Pay
- This postingNot listed
- North Carolina median$88–136K/yr94 salary ranges
- US median$30–40/hr384 hourly ranges
- Openings
- Olive Jobs lists 162 open Data Analyst jobs in North Carolina and 5,371 across the US. 7% of them nationwide are listed as remote or flexible.
- Hiring the most in North Carolina
- Bank of America7 open
- Judi Health7 open
- PwC7 open
- Experience
- This posting asks for at least 7 years of experience — more than three in four Data Analyst postings that state a minimum ask for (median 4 years, across 4,022 postings).
- Education
- 2,318 of the 5,371 open Data Analyst jobs (43%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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