Senior Data Analyst

Amsive

Senior Data Analyst role at Amsive, developing analytics solutions within Microsoft Fabric. Collaborating with teams to enhance data quality, performance, and usability while leveraging AI technologies.

Posted 7/23/2026full-timeNew York City • New York • 🇺🇸 United StatesSenior💰 $90,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in designing and developing Power BI semantic models and analytics solutions using Microsoft Fabric technologies. Strong expertise in SQL, PySpark, and dimensional modeling to enhance data quality and performance for enterprise reporting.

Highest-signal resume keywords

Power BI Semantic Model DevelopmentMicrosoft Fabric Lakehouse TechnologiesSQL and PySpark ProficiencyDimensional Modeling ExpertiseAnalytical Thinking and Problem-Solving

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Power BIDAX MeasuresSQLPySparkSpark SQLDimensional ModelingData Warehouse ConceptsGit-Based Source ControlJSON DevelopmentAI-Enabled Analytical Experiences

Soft Skills

Analytical ThinkingProblem-SolvingExcellent CommunicationCollaborationIndependence

Tools & Technologies

Microsoft FabricMicrosoft Power BIAzure AIData AgentsLakehouse Architecture

Industry Keywords

Enterprise ReportingSelf-Service AnalyticsPerformance OptimizationGovernanceMonitoring Standards

Tech Stack

Tools & technologies

AzureCloudPySparkSparkSQL

About the role

Key responsibilities & impact

Design, develop, and maintain Power BI semantic models that support enterprise reporting and self-service analytics.
Develop scalable star schemas, measures, calculated columns, hierarchies, perspectives, and Row-Level Security.
Optimize semantic models for performance, usability, and governance.
Build reusable metrics and governed business logic shared across reporting solutions.
Develop and enhance analytics solutions using Microsoft Fabric Lakehouse technologies.
Write and optimize SQL, Spark SQL, and PySpark notebooks supporting analytics workloads.
Partner with Data Engineers to improve data quality, performance, and reliability.
Troubleshoot data pipelines, semantic models, and reporting issues across the platform.
Design AI-enabled analytical experiences using Microsoft Fabric Data Agents and Azure AI technologies.
Develop structured outputs (including JSON) that support internal web applications and AI-powered user experiences.
Evaluate emerging AI capabilities and recommend practical applications that improve productivity and business value.
Build dashboards that monitor Fabric capacity utilization, refresh performance, workload health, pipeline execution, and overall platform performance.
Develop reporting that helps engineering teams proactively identify performance bottlenecks and operational issues.
Help establish monitoring standards for enterprise analytics solutions.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Systems, Data Analytics, Statistics, Mathematics, Engineering, or a related technical discipline.
3–5 years of experience designing analytical solutions using modern cloud data platforms.
Strong experience with Microsoft Fabric, Microsoft Power BI, or comparable enterprise analytics platforms.
Experience developing Power BI semantic models and writing DAX measures.
Strong SQL skills with experience querying and transforming large datasets.
Experience developing PySpark and Spark SQL solutions.
Understanding of dimensional modeling and enterprise data warehouse concepts.
Experience working with Git-based source control.
Strong analytical thinking and problem-solving skills.
Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
Demonstrated ability to work independently while collaborating effectively within a remote team.
Experience with Microsoft Fabric Lakehouse architecture, Direct Lake semantic models, or Delta Lakes are preferred

Benefits

Comp & perks

Paid time off that includes Unlimited Vacation Time, Annual Sick Days, Mental Health Days, and Holidays
Dental, Vision, and Health Insurance
401(k) with a company match program
Paid Parental Leave