GSK Solutions Inc.
GSK Solutions Inc.

Senior Data Analyst (Hybrid)

Hybrid in Raleigh, NC, US • Posted 4 hours ago • Updated 4 hours ago
Contract Independent
Contract Corp To Corp
Contract W2
12 Months
No Travel Required
Hybrid
Depends on Experience
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Job Details

Skills

  • Experience in enterprise data analytics
  • engineering
  • and designing complex ETL workflows.
  • Expertise in Azure Synapse Analytics
  • Azure Data Factory
  • and cloud data warehousing
  • Advanced SQL and PL/SQL skills
  • including query optimization
  • performance tuning
  • and indexing strategies
  • Hands-on experience with PySpark
  • Python
  • or Scala
  • Experience with data modeling
  • and cost optimization in Azure

Summary

Job Title

Senior Data Analyst (Hybrid)

Location

Raleigh, NC

Duration

12 Months

Interview Type

In Person Only

Note

  • In Person Interviews Only

  • Hybrid Onsite

Description

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. The key responsibilities for this position will include the following:

  • Design, build, and maintain robust enterprise ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, or PL/SQL procedures.

  • Manage and optimize Azure Synapse Analytics (SQL and Spark pools) and Microsoft Fabric Lakehouse.

  • Develop, test, and tune complex SQL and PL/SQL scripts, stored procedures, packages, and functions to support data integration.

  • Collaborate with business users to define analytical goals and build Power BI-ready datasets.

  • Integrate AI and machine learning insights using Azure Machine Learning and Azure OpenAI Service.

  • Enforce data governance, quality, and security via Microsoft Purview and Microsoft Entra ID.

  • Build cross-functional reporting, dashboards, and predictive analytics models

Top Skills

Skill

Required /Desired

Amount

of Experience

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

Recruiter

Contact: Pravallika -


Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10498904
  • Position Id: 36478-2053-1793979917
  • Posted 4 hours ago

Company Info

About GSK Solutions Inc.

Our values are integrity, leading change, excellence, and respect for the individual, learning and sharing. Our success is based on our ability to be flexible while adhering to a strict project management methodology.

We inspire personal and professional growth in our people through innovation and creativity. We reward excellence. We earn the trust of our customers and the respect of our employees through exceptional teamwork, good business ethics and a high level of commitment

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Ram Krishna

Ram Krishna

Recruiter @ GSK Solutions Inc.

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