Sr Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Data Analyst with a contract length of "Unknown" and a pay rate of $70.00/hr. It requires expertise in SQL, Python, GCP (BigQuery), and experience in financial environments, data mapping, and regulatory reporting. Remote work is available.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
560
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πŸ—“οΈ - Date discovered
August 7, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Jira #GCP (Google Cloud Platform) #SQL (Structured Query Language) #BigQuery #Data Mapping #Cloud #Business Analysis #Code Reviews #Ab Initio #Data Quality #Data Mart #Compliance #SQL Queries #Metadata #Data Analysis #Python #BI (Business Intelligence) #Data Architecture #Data Pipeline #"ETL (Extract #Transform #Load)" #Agile #Programming #Datasets #Scala #SAS #Documentation #Data Governance #Automation
Role description
Job Title: Senior Data Analyst Location: Remote About The Company We are committed to innovation, collaboration, and delivering data-driven insights that empower key business decisions. Our environment fosters growth, values integrity, and champions diversity and inclusion. Job Summary We are looking for a Senior Data Analyst to join the Finance and Regulatory Reporting Shared Services Delivery Squad within the Enterprise Data and Information Services (EDIS) team. The ideal candidate will be a seasoned data professional with a strong background in data mapping, modeling, and engineering practices, particularly in cloud-based environments. This role will focus on building and maintaining enterprise data pipelines to support regulatory reporting, analytics, and business intelligence needs. Key Responsibilities β€’ Data Mapping Ownership: Lead data element attribution mapping from source systems to target data assets including data marts, integration layers, extracts, and point-to-point solutions. β€’ Documentation & Metadata Utilization: Provide detailed mapping documents including business rules, transformation logic, SQL, and derived column expressions. β€’ Translation of Business Requirements: Independently interpret and translate business requirements into technical deliverables and reusable datasets. β€’ Cross-functional Collaboration: Engage with developers, data architects, testers, business analysts, and SMEs to ensure clarity and accuracy in project execution. β€’ Peer Review & Mentorship: Perform code reviews and mentor junior analysts while contributing to mapping and data architecture review sessions. β€’ Modeling & SQL Development: Contribute to ER diagrams and data models, and utilize them to create efficient and scalable SQL queries. β€’ Technical Viability Assessment: Evaluate new and existing data solutions for performance and alignment with industry best practices. β€’ Auditability & Documentation: Create and enhance context diagrams to ensure data traceability and regulatory compliance. β€’ Risk Management Awareness: Understand and apply risk management practices relevant to financial institutions and datasets. Requirements β€’ Education: Master’s degree with 5+ years of experience, or Bachelor’s degree with 8+ years of experience in data analytics or equivalent military/work experience. β€’ Experience: Proven track record in data mapping, modeling, and data pipeline development. β€’ Skills: β€’ Strong SQL, Python, and SAS programming abilities. β€’ Expertise in Google Cloud Platform (GCP), especially BigQuery. β€’ Experience with Ab Initio or Ab Initio SpecToGraph. β€’ Proficient in Agile methodologies and tools such as Jira and Confluence. β€’ Excellent written and verbal communication skills. β€’ Other: Experience with data quality validation techniques, automation, and interpreting complex business data. Preferred Qualifications β€’ Previous experience working in regulated financial environments. β€’ Exposure to regulatory reporting and finance-related data flows. β€’ Experience leading data architecture initiatives or contributing to enterprise-level data governance. Benefits β€’ Competitive Salary: $70.00/hr β€’ Health and Wellness: Comprehensive health insurance and wellness support. β€’ Work-Life Balance: Flexible remote work or onsite options, paid time off. β€’ Professional Development: Access to training programs, mentorship, and continuous learning. β€’ Additional Perks: Collaborative team culture, mission-driven work, and opportunities to contribute to impactful data projects.