Part-Time Data Analyst - Flexible Hours in Washington

Workato

Washington

On-site

USD 11,000 - 13,000

Part time

14 days+

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Benefits offered by this job

Accommodation provided
Part-time schedule
Flexible hours

Job summary

Workato is seeking a part-time Data Analyst in Washington to collect, organize, and analyze data to inform business decisions. The role requires strong analytical skills and the ability to work independently. You will create reports and visualizations, identify trends, and help improve data quality.

Flexible hours and potential accommodation are noted in the posting. Candidates should hold a Bachelor's degree in Business, Mathematics, Statistics or related field, and have proficiency in SQL and

Qualifications

  • Bachelor's degree required.
  • Proven experience as Data Analyst or similar role.
  • Proficiency in SQL, Excel, and other data analysis tools.
  • Ability to work independently with minimal supervision.

Responsibilities

  • Collect, organize, and analyze data from various sources.
  • Identify trends and patterns within the data.
  • Create reports and visualizations to present findings to stakeholders.
  • Collaborate with other team members to understand data needs and requirements.
  • Use statistical methods to interpret data and provide insights.
  • Continuously monitor data quality and identify opportunities for improvement.

Skills

Analytical thinking
Data analysis
SQL
Excel
Independent work

Education

Bachelor's degree in Business, Mathematics, Statistics or related field

Job description

Workato is seeking a part-time Data Analyst in Washington to collect, organize, and analyze data to inform business decisions. The role requires strong analytical skills and the ability to work independently. You will create reports and visualizations, identify trends, and help improve data quality.

Flexible hours and potential accommodation are noted in the posting. Candidates should hold a Bachelor's degree in Business, Mathematics, Statistics or related field, and have proficiency in SQL and

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