Clinical Education Alliance

Associate Data and Analytics Engineer

Clinical Education Alliance

full-time

Posted on:

Location Type: Office

Location: 🇺🇸 United States

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Job Level

JuniorMid-Level

Tech Stack

AWSAzureCloudETLGoogle Cloud PlatformPySparkPythonSQL

About the role

  • Support the design, development, and maintenance of data pipelines and integrations (e.g., using Databricks, SQL, or Python).
  • Transform raw data into clean, analytics-ready datasets following best practices for quality and performance.
  • Identify, investigate, and resolve data anomalies or quality issues in coordination with business and engineering teams.
  • Conduct exploratory analyses and create ad hoc or manual reports to support business questions and urgent needs.
  • Partner with stakeholders to interpret findings and translate data into actionable insights.
  • Maintain consistent documentation of data definitions, logic, and reporting standards.
  • Build and maintain interactive dashboards and visualizations in Power BI, Databricks Dashboards, or custom Data Apps.
  • Collaborate with stakeholders to define KPIs and ensure visualizations align with business goals.
  • Support the rollout and improvement of data applications that make analytics more accessible across the organization.
  • Participate in exploratory projects using AI, ML, or LLM tools to enhance data workflows and automate insights.
  • Assist with the development and evaluation of predictive models under senior guidance.
  • Research emerging tools and methods that can improve analytics efficiency and scalability.
  • Work closely with data engineers, scientists, and business teams to understand systems and improve processes.
  • Document workflows, share knowledge, and contribute to a culture of continuous improvement.
  • Take initiative to develop technical and business domain expertise over time.

Requirements

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field.
  • 1–3 years of professional or academic experience in analytics, data engineering, or data visualization.
  • Proficiency in SQL and basic familiarity with Python or PySpark.
  • Hands-on experience with Power BI, Databricks, or similar BI and data platforms.
  • Strong analytical and troubleshooting skills, with attention to detail and data accuracy.
  • Ability to communicate findings clearly to both technical and non-technical audiences.
  • Experience with cloud data platforms (Azure, AWS, or GCP) preferred.
  • Familiarity with ETL/ELT processes and data modeling (e.g., star schema, medallion architecture) preferred.
  • Basic understanding of APIs, version control (Git), and CI/CD workflows preferred.
  • Exposure to AI/ML concepts or interest in exploring their practical use in analytics preferred.
Benefits
  • Equal Employment Opportunities to all employees and applicants for employment
  • Prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other non-merit factor.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLPythonPySparkETLELTdata modelingpredictive modelingdata visualizationdata pipeline developmentdata integration
Soft skills
analytical skillstroubleshooting skillsattention to detailcommunication skillscollaborationinitiativeproblem-solvingstakeholder engagementcontinuous improvementdocumentation