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Data Analyst

Agile Resources, Inc.

Alpharetta, Gabon (Hybrid) · عقد

كن أول من يتقدم بطلب

خبرة
أكثر من 3 سنوات
مرتب
USD 45 – USD 50 / hour
الوظائف الشاغرة
1
تم النشر
ستارة
وضع العمل
هجين
سيرة ذاتية
مطلوب للتقديم

مكان عملك

المسمى الوظيفي

About the Role

We are collaborating with a global financial technology leader to secure a motivated and experienced Data Analyst. This position is an 18-month contract based in Alpharetta, GA, requiring onsite presence three days per week. The hourly wage ranges from $45 to $50 on a W2 basis. Please note, the opportunity is not available for sponsorship or through third parties.

Key Responsibilities

  • Conduct detailed investigations of legacy database systems to map data flow and ensure seamless integration with new production platforms without causing disruptions.
  • Develop comprehensive business requirements and operational guidelines to steer database development and maintain exceptional data quality standards.
  • Create and implement thorough testing procedures along with acceptance criteria to confirm database modifications and files meet stringent accuracy standards.
  • Serve as a liaison between multiple departments to address, coordinate, and resolve data quality concerns impacting clients.

Required Qualifications

  • A minimum of 3 years' experience in business intelligence, data modeling, or statistical analysis, with a focus on assuring data quality.
  • Strong expertise in database manipulation and analytics using SQL, SAS, ETL processes, or similar technologies.
  • Experience with cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure.
  • Knowledge of Python programming is an added advantage.

Benefits

  • Medical, dental, and vision insurance coverage.
  • 401(k) retirement plan.

Additional Information

The role demands a hybrid work schedule anchored by three days onsite per week in Atlanta. This position is an 18-month contract engagement. The successful candidate must be self-driven, detail-oriented, and able to collaborate efficiently across various teams to maintain high-quality data systems.

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