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Data Analyst

Qureos Inc
Posted 2 months ago, valid for 13 days
Location

Los Angeles, CA, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • We are looking for a detail-oriented Remote Data Analyst to join our team, responsible for interpreting data and providing actionable insights.
  • The role includes collecting, cleaning, and analyzing large datasets, as well as developing dashboards and reports using tools like Excel and Tableau.
  • Candidates should have a Bachelor's degree in Data Science, Statistics, or a related field, along with proven experience as a Data Analyst.
  • The position requires proficiency in SQL and data visualization tools, with a salary range of $70,000 to $90,000 per year.
  • Strong analytical skills and excellent communication abilities are essential, and knowledge of programming languages like Python is a plus.

Job Summary:We are seeking a detail-oriented and analytical Remote Data Analyst to join our team. The Data Analyst will be responsible for interpreting data, analyzing results, and providing actionable insights to support business decision-making, all in a remote setting.


 

Responsibilities:

Collect, clean, and organize large datasets from various sources

Analyze data to identify trends, patterns, and insights

Develop and maintain dashboards and reports using tools like Excel, Tableau, Power BI, etc.

Collaborate with cross-functional teams remotely to understand data needs

Present findings and recommendations clearly and effectively through virtual meetings and reports

Identify areas for process improvement and data quality enhancement

Ensure data accuracy and integrity

 

Qualifications:

Bachelor’s degree in Data Science, Statistics, Computer Science, or related field

Proven experience as a Data Analyst or similar role

Proficiency in SQL, Excel, and data visualization tools (Tableau, Power BI, etc.)

Strong analytical and problem-solving skills

Excellent written and verbal communication skills for remote collaboration

Knowledge of programming languages like Python or R is a plus

 

Preferred Skills:

Experience with big data tools (Hadoop, Spark)

Familiarity with cloud platforms (AWS, Azure)

Understanding of statistical methods and data modeling




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