Data Analyst II (SQL Developer)

New
J
JobgetherHealthcare Technology
Based in United StatesFull-TimeMiddle
Salary not disclosed
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Job Details

Experience
2–5 years of experience
Required Skills
SQLData AnalysisMicrosoft Power BITableauMicrosoft ExcelData visualization

Requirements

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
  • 2–5 years of experience as a data analyst or in a similar analytical role.
  • Advanced hands-on SQL skills with experience cleaning, transforming, and structuring data.
  • Strong proficiency in Excel and data visualization tools such as Tableau or Power BI.
  • Strong analytical, problem-solving, and critical-thinking abilities.
  • Experience working with multiple data sources and interpreting complex datasets.
  • Ability to communicate technical findings clearly to both technical and non-technical audiences.
  • Strong attention to detail and commitment to data accuracy.
  • Ability to work effectively both independently and collaboratively in a remote environment.
  • Experience with Zoho Analytics, healthcare data, or startup environments is preferred.

Responsibilities

  • Gather, clean, organize, and integrate data from multiple sources while maintaining accuracy and data integrity.
  • Use SQL extensively to transform, analyze, and structure datasets for reporting and business insights.
  • Apply analytical techniques using tools such as Excel, SQL, and visualization platforms to identify trends, patterns, and anomalies.
  • Build and maintain dashboards, reports, charts, and visualizations to communicate insights clearly to stakeholders.
  • Proactively identify opportunities, gaps, and trends through independent analysis.
  • Collaborate with teams across operations, finance, customer success, and other business functions to understand data needs.
  • Develop and monitor key performance indicators (KPIs) to measure business initiatives and operational effectiveness.
  • Recommend improvements to data collection, reporting processes, and analytical workflows.
  • Translate complex data findings into clear recommendations that support business and healthcare outcomes.
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