Data Analyst: Insight-Driven Finance Analytics

Summit Global Inc.

Sacramento (CA)

On-site

USD 120,000 - 164,000

Full time

14 days+

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Job summary

Summit Global Inc. in Sacramento, CA is seeking a Data Analyst to analyze complex data sets and support strategic decision-making.

This full-time role offers a salary range of $120,000 to $163,952 with comprehensive health insurance and retirement benefits. You will collect, process, and analyze data, develop reports and dashboards, and collaborate with cross-functional teams to deliver data-driven solutions while ensuring data accuracy and staying current with tools and techniques.

Qualifications

  • Bachelor's degree in data science, statistics, mathematics, or related field.
  • 2+ years of experience in data analysis or similar role.
  • Proficiency with SQL, Python, R, and Tableau.
  • Strong problem-solving and attention to detail.
  • Excellent communication and interpersonal skills.
  • Ability to work independently and in a team.

Responsibilities

  • Collect, process, and analyze large data sets to identify trends and patterns.
  • Develop and maintain reports and dashboards to visualize data insights.
  • Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
  • Ensure data accuracy and integrity by implementing quality control measures.
  • Stay updated with the latest data analysis tools and techniques.
  • Present findings to stakeholders in a clear and concise manner.

Skills

Data analysis
Analytical thinking
Problem solving
Communication

Education

Bachelor's degree in Data Science, Statistics, Mathematics, or related field

Tools

SQL
Python
R
Tableau

Job description

Summit Global Inc. in Sacramento, CA is seeking a Data Analyst to analyze complex data sets and support strategic decision-making.

This full-time role offers a salary range of $120,000 to $163,952 with comprehensive health insurance and retirement benefits. You will collect, process, and analyze data, develop reports and dashboards, and collaborate with cross-functional teams to deliver data-driven solutions while ensuring data accuracy and staying current with tools and techniques.

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