Jobgether

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Senior Data Analytics Engineer

Data EngineerData EngineerFull TimeRemote

Location

United States

Posted

8 days ago

Salary

Not specified

PythonRSQLSASGitData ManagementData AnalyticsStatistical AnalysisDashboard DevelopmentWorkflow Automation

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Analytics Professional (Remote). As a key driver in our analytical team, you'll play a vital role in interpreting complex datasets that influence public behavioral health and healthcare research. Your contributions will directly impact the quality of life for individuals by helping formulate strategies based on data analysis. You will collaborate in diverse and innovative teams, fostering an environment that embraces flexibility while tackling significant challenges in data analytics. Together, we will work towards creating a more equitable world through data-driven insights.

  • Apply knowledge in modern data management and analytical technologies to manage, visualize, and analyze various datasets.
  • Support the stewardship and analysis of government data focused on public health and behavioral health.
  • Provide support across the data lifecycle including data intake, storage, synthesis, automation, and analytical development.
  • Collaborate with team members to lead development and implementation of QA/QC protocols for coding and data projects.

Qualifications

  • Bachelor degree + 5 years experience, Master degree + 3 years experience, PhD + 0 years experience.
  • Experience in a data-focused field, preferably with degrees in informatics, statistics, public health, or related areas.
  • Ability to obtain and maintain public trust access for information systems.
  • Strong skills in statistical, data analytics, and data management languages: R, Python, SAS, and SQL.
  • Skill in version control software (git) and development of best practices.
  • Critical thinker with strong communication skills and commitment to continued skill development.
  • Ability to handle tasks such as digitizing forms, automating workflows, and building dashboards.

Benefits

  • Flexible work hours that allow for work-life balance.
  • Access to a diverse and collaborative team environment.
  • Opportunities for continuous learning and professional growth.
  • Contributing to meaningful work that impacts public health and societal issues.
  • Remote work flexibility with supportive company culture.

Job Requirements

  • Bachelor degree + 5 years experience, Master degree + 3 years experience, PhD + 0 years experience.
  • Experience in a data-focused field, preferably with degrees in informatics, statistics, public health, or related areas.
  • Ability to obtain and maintain public trust access for information systems.
  • Strong skills in statistical, data analytics, and data management languages: R, Python, SAS, and SQL.
  • Skill in version control software (git) and development of best practices.
  • Critical thinker with strong communication skills and commitment to continued skill development.
  • Ability to handle tasks such as digitizing forms, automating workflows, and building dashboards.

Benefits

  • Flexible work hours that allow for work-life balance.
  • Access to a diverse and collaborative team environment.
  • Opportunities for continuous learning and professional growth.
  • Contributing to meaningful work that impacts public health and societal issues.
  • Remote work flexibility with supportive company culture.

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