Cliff Services Inc

W2 - Jr Data Analyst - Onsite

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🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
240
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🗓️ - Date
May 19, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Data Analysis #Cloud #SQL (Structured Query Language) #Athena #Scrum #Redshift #AWS S3 (Amazon Simple Storage Service) #SQL Queries #Python #R #AWS (Amazon Web Services) #Compliance #S3 (Amazon Simple Storage Service) #Datasets #"ETL (Extract #Transform #Load)" #Data Pipeline #Agile #Tableau #Data Accuracy #Data Governance #Leadership
Role description
Job Title -Data Analyst Banking Domain Location - Dallas, TX , Richmond Va Work Mode -Onsite (5 days a week) Interview Process -In-Person Interview Role Overview We are seeking a skilled Data Analyst to support a Banking Domain client by analyzing large datasets, building interactive dashboards, and delivering actionable insights to business stakeholders. The ideal candidate will have strong hands-on experience with Tableau, SQL, and AWS, along with a solid understanding of banking data and reporting needs. Key Responsibilities • Analyze complex banking datasets to identify trends, patterns, and insights • Design, develop, and maintain interactive dashboards and reports using Tableau • Write optimized SQL queries to extract, transform, and validate data • Work with AWS services to access, process, and analyze cloud-based data • Collaborate with business and technical teams to understand reporting requirements • Ensure data accuracy, consistency, and compliance with banking standards • Present findings and insights clearly to stakeholders and leadership Mandatory Skills • Strong experience with Tableau (dashboarding, visual analytics) • Advanced SQL skills (joins, subqueries, performance tuning) • Hands-on experience with AWS (S3, Redshift, Athena, or similar) • Experience working in the Banking or Financial Services domain • Strong analytical, problem-solving, and communication skills Nice-to-Have Skills • Experience with Python or R for data analysis • Knowledge of ETL processes and data pipelines • Familiarity with Agile/Scrum methodologies • Exposure to data governance and regulatory reporting in banking Note • This is a 100% onsite role • In-person interview is mandatory • Only candidates willing to work onsite should apply