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Data Analyst

This role is for a Data Analyst in Austin, TX, with a contract length of unspecified duration, offering a pay rate of "unknown." Requires 2-3 years of fintech experience, proficiency in SQL and Python, and familiarity with data visualization tools.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 22, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Hybrid
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Austin, TX
🧠 - Skills detailed
#Security #Data Security #SQL (Structured Query Language) #Visualization #Programming #Project Management #Compliance #Looker #Predictive Modeling #Python #Tableau #Data Analysis #R #BI (Business Intelligence) #ML (Machine Learning) #Microsoft Power BI
Role description
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Red Oak Technologies is a leading provider of comprehensive resourcing solutions across a variety of industries and sectors including IT, Marketing, Finance, Business Operations, Manufacturing and Engineering. We specialize in quickly acquiring and efficiently matching top-tier professional talent with clients in immediate need of highly skilled contract, permanent or project management based resources.

“NOTE: If selected for this position, you are required to perform ALL work onsite, based on the client’s specified hybrid work schedule (currently onsite 3 days a week: Tuesday, Wednesday and Thursday).”

Data Analyst

Austin, TX
• 2-3 years of experience in data analytics, preferably in the fintech or payments industry.
• Proficiency in data analysis tools and programming languages such as SQL, Python, R, or similar.
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker) to create intuitive and insightful dashboards.
• Strong analytical skills with the ability to interpret complex data, identify patterns, and make data-driven decisions.
• Excellent communication skills with the ability to articulate findings to non-technical audiences clearly.
• Strong problem-solving skills and a detail-oriented mindset.
• Experience working with payment processing systems or digital wallets.
• Familiarity with machine learning concepts and predictive modeling techniques.
• Knowledge of regulations and compliance issues related to payments and data security.