Reporting Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a fully remote Reporting Analyst position for a year-long W2 contract, paying competitively. Key requirements include a Bachelor's degree, strong SQL skills, experience in building scalable data pipelines, and proficiency in BI tools.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
680
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πŸ—“οΈ - Date discovered
August 20, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
San Francisco, CA
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🧠 - Skills detailed
#SQL (Structured Query Language) #Data Pipeline #Automation #BI (Business Intelligence) #Scala
Role description
Our client, a leader in Financial and Tax Software, is looking for someone to join their team as an Business Intelligence Reporting Analyst. This role is fully remote, supporting PST hours. β€’ This is a year long W2 contract β€’ In this role, will maintain and enhance foundational data pipelines that power self-service analytics, automate critical reporting workflows to significantly reduce manual efforts, and ensure pipelines are consistently refreshed with new or seasonal data. What You Will Be Doing β€’ Collaborate with stakeholders to leverage standardized test reporting frameworks to make business decisions β€’ Maintenance of the Data Foundations layer needed to supercharge self-serving capabilities for product reporting β€’ Automation of in-season KPI reporting and opportunity identification on CoM products t β€’ Build and/or collaborate with other analytics enablement teams on New CoM reporting capabilities for short-term lending products β€’ Define key metrics using backend source of truth where available, leverage best practices for data pipeline performance and quality, and business facing reporting Required Skills & Experience β€’ Bachelor's degree β€’ Strong SQL experience β€’ Experience building scalable data pipelines β€’ Expertise in BI tools β€’ Proven track record of working collaboratively with cross-functional teams to drive data-driven decision-making