Onsite Data Analyst – COVID Data Dashboards

Sligo Software Solutions; Village of Menands (NY); Vor Ort; USD 120.000 - 170.000; Vollzeit

Zusammenfassung

Sligo Software Solutions in Menands, NY seeks a senior data analyst/engineer to provide data analysis and management for COVID dashboards and data distribution to external entities and the public. You will handle data processing, analytics, testing, and collaboration with the team.

The ideal candidate has 10+ years of experience in data analytics, strong Python/SQL skills, and experience with large-scale datasets and ETL pipelines. This is an onsite role requiring relocation if needed.

Qualifikationen

• 10+ years of experience in data analysis or software development.
• Bachelor's degree in Engineering, Computer Science, MIS or equivalent.
• 6 years of experience with development in medium to large-scale projects and ensuring deliverables and scope are met.
• 6 years of experience with data analytics including processing, reporting, transformation, visualization.

Aufgaben

• Provide data analysis and management for COVID dashboards and distribution of data to external entities and the public.
• Perform data management and analytic tasks including researching and documenting technical designs, programming solutions, writing and executing unit test plans, researching, resolving, and testing defects, customer technical support, and close collaboration with other team members.

Kenntnisse

Data analytics

Unit testing

Technical documentation

Customer support

Ausbildung

Bachelor's degree in Engineering, Computer Science, MIS or equivalent

Tools

Oracle

PostgreSQL

MongoDB

DynamoDB

Tableau

ETL pipelines

Jobbeschreibung

Sligo Software Solutions in Menands, NY seeks a senior data analyst/engineer to provide data analysis and management for COVID dashboards and data distribution to external entities and the public. You will handle data processing, analytics, testing, and collaboration with the team.

The ideal candidate has 10+ years of experience in data analytics, strong Python/SQL skills, and experience with large-scale datasets and ETL pipelines. This is an onsite role requiring relocation if needed.