

Data Reporting Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Reporting Analyst contract position, 100% remote, focusing on financial data reconciliation. Key skills include reporting, Azure Semantic Layer, Power BI, and general ledger knowledge. Proven business analysis experience is essential. Pay rate and contract length unspecified.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
520
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ποΈ - Date discovered
July 17, 2025
π - Project duration
Unknown
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ποΈ - Location type
Remote
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
United States
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π§ - Skills detailed
#Datasets #Azure #Visualization #Data Analysis #Data Lake #Semantic Models #Microsoft Power BI #Business Analysis #BI (Business Intelligence)
Role description
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This is a contract position.
It is a 100% remote position.
What will you do in this role?
β’ This role will play a critical part in bridging the gap between technical data teams and finance stakeholders to deliver accurate, timely, and actionable insights that drive strategic business decisions.
β’ Tech Product Analyst evaluates and recommends tech products, analyzing their effectiveness and alignment with business needs
β’ Gather, document, and translate business requirements into technical specifications.
β’ Key responsibility includes reconciling payments data and ensuring accuracy in reporting.
What skills should you have for this position?
β’ Strong Reporting and Data Analysis Skills: Proven experience in designing and delivering insightful reports to support business decisions.
β’ Azure Semantic Layer Expertise: Hands-on experience working with Azure Data Services, particularly in building and managing semantic models.
β’ Power BI Development: Skilled in creating interactive dashboards and visualizations using Power BI.
β’ Business Analyst Experience: Ability to gather, document, and translate business requirements into technical specifications.
β’ General Ledger and Financial Systems Knowledge: Experience working with general ledger data and financial reporting systems.
β’ Data Lake Proficiency: Familiarity with data lake architecture and querying large datasets efficiently.