Sibitalent Corp
Senior Product Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Product Analyst in Tulsa, OK, offering a hybrid work schedule. Key requirements include strong SQL proficiency, AWS expertise, Agile experience, and knowledge in banking or risk data domains. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
€ EUR
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💰 - Day rate
Unknown
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🗓️ - Date
March 3, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Tulsa, OK
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Data Quality #Agile #Scrum #SQL (Structured Query Language) #Data Engineering #AWS (Amazon Web Services) #Data Analysis #Cloud
Role description
Data Product Analyst
Tulsa, OK – Hybrid
Qualifications
• €€€€€€ Strong proficiency in SQL with experience supporting large-scale data projects.
• €€€€€€ Hands-on experience working with cloud platforms, with AWS expertise strongly preferred.
• €€€€€€ Proven ability to support data analysis within an Agile/Scrum environment.
• €€€€€€ Excellent communication skills, with a collaborative, curious, and accountable work ethic.
• €€€€€€ Experience partnering with IT teams and data engineers to deliver data solutions.
• €€€€€€ Ability to analyze and document data sourcing, lineage, and transformation processes.
• €€€€€€ Knowledge of data quality principles and practices.
• €€€€€€ Relevant experience in banking, finance, healthcare, or risk-related data domains is a plus.
• €€€€€€ Familiarity with fraud or risk data preferred.
• €€€€€€ Availability to work in a hybrid schedule, with a mix of in-office and remote work.
Data Product Analyst
Tulsa, OK – Hybrid
Qualifications
• €€€€€€ Strong proficiency in SQL with experience supporting large-scale data projects.
• €€€€€€ Hands-on experience working with cloud platforms, with AWS expertise strongly preferred.
• €€€€€€ Proven ability to support data analysis within an Agile/Scrum environment.
• €€€€€€ Excellent communication skills, with a collaborative, curious, and accountable work ethic.
• €€€€€€ Experience partnering with IT teams and data engineers to deliver data solutions.
• €€€€€€ Ability to analyze and document data sourcing, lineage, and transformation processes.
• €€€€€€ Knowledge of data quality principles and practices.
• €€€€€€ Relevant experience in banking, finance, healthcare, or risk-related data domains is a plus.
• €€€€€€ Familiarity with fraud or risk data preferred.
• €€€€€€ Availability to work in a hybrid schedule, with a mix of in-office and remote work.
