Data Analyst/Engineer

Job Description: Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable

accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education Level: Bachelor's Degree

Education Details: Information Technology or Computer Science

Experience: 3 years software development experience in object-oriented language Preferred Qualifications

Knowledge, Skills And Abilities (KSAs)

Knowledge of programming languages (e.g. Python, Java, etc.)., Proficient

Knowledge and understanding of software development life cycle (SDLC)., Proficient

Excellent communication skills both written and verbal, Proficient

Ability to recognize, analyze, and solve a variety of problems., Proficient

Basic understanding of cloud technologies (e.g. AWS), Proficient

Basic understanding of database technologies (e.g. cloud, SQL, Oracle, Mongo DB, PostgreSQL, etc.), Proficient

Fundamental knowledge of software engineers' best practices, agile methodologies, CI/CD pipelines, Proficient

Knowledge of test-first practices including Test-Driven Development (TDD) for unit tests and Behavior-Driven Development (BDD) for automated acceptance tests, Proficient

Knowledge of DevOps practices and tools, Proficient

Knowledge of Code quality and promotion practices, Proficient Analysis and Reporting:

Analyze data to identify trends, patterns, and anomalies

Develop and maintain dashboards, reports, and visualizations to present key metrics in an understandable and actionable format

Provide regular and ad-hoc reports to management and stakeholders. Collaboration and Support

Work closely with department heads and teams to understand their data and reporting needs

Support decision-making by providing data-driven insights and recommendations

Assist in the development and implementation of new data collection and reporting methodologies