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Sr. Data Analytics MSBI and Application Support - Montvale, NJ (Hybrid)

Job

MetaSense, Inc.

Remote

Full-Time

Posted 1 week ago (Updated 1 day ago) • Actively hiring

Expires 7/24/2026

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Job Description

Job Title:
Sr.
Data Analytics and Application Support Location:
Montvale, NJ (3days/week, Hybrid onsite)
Duration:
12+ months
LOCALS ONLY
Job Description:
We are seeking a Senior Data Analytics and Application Support professional with 10+ years of experience in MS BI Development and Data Analytics leadership. The ideal candidate will serve as a liaison between Product Owners, Development Teams, and Application Support groups while ensuring project deliverables align with both short-term and long-term business goals.
Key Responsibilities:
Lead and manage Data Analytics and Application Support initiatives. Coordinate between Product Owners, Developers, and Support Teams. Assign, prioritize, and monitor tasks for direct reports to ensure timely delivery. Support, maintain, and optimize enterprise data platforms and reporting solutions. Perform SQL Server performance tuning and troubleshooting. Design, develop, and maintain ETL solutions using SSIS and data warehouse technologies.
Required Skills:
10+ years of experience in MS BI Development and Data Analytics. Strong experience with SQL Server 2016 and above. Hands-on experience with ETL development using SSIS. Expertise in
SSAS, SQL
Performance Tuning, and Query Optimization. Advanced Excel, MS Access, and Power BI experience. Experience with Azure Data Factory, Azure Databricks, and Azure Data Lake Storage (ADLS). Strong knowledge of Blob Storage and Data Lakes.
Technical Skills:
Azure:
Azure Databricks Azure Data Factory (ADF) Azure Data Lake Storage (ADLS) Azure Kubernetes Service (AKS)
Azure Log Analytics Application Insights & Metrics Databases:
SQL Server Azure SQL Instance Oracle 10
G BI & Reporting Tools:
SSIS SSAS SSRS
Power BI Tableau Programming Languages:
Python PySpark
T-SQL PL/SQL R HTML XML
Statistical & Analytics Tools:
SAS 9.2 R SPSS
Advanced Excel Methodologies :
Agile Scrum Kanban Waterfall ERP Systems :
SAP ECC 6.0 SAP S/4 HANA
Microsoft Dynamics JD Edwards Tools :
Visual Studio IDE Hyperion MS Access Visio PowerPoint Regards, Palak Rajora