Data Analyst
Alpharetta, Gabon (Hybrid) · Contrato
Sé el primero en postularte
- Experiencia
- 3+ años
- Salario
- USD 45 – USD 50 / hour
- Vacantes
- 1
- Al corriente
- Hace 4 horas
- Modo de trabajo
- Híbrido
- Reanudar
- Se requiere solicitud
Dónde trabajarás
Descripción del trabajo
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.