Data Analyst Salaries

Discover salary ranges for remote data analyst positions. Compare compensation data and make informed career decisions.

Data Analyst
Entry

Median high-range salary for Entry Data Analyst jobs:

$100,000

This analysis is based on salary ranges collected from 1 job descriptions that match the search and allow working remotely. Choose a country to narrow down the search and view statistics exclusively for remote jobs available in that location.

The Median Salary Range is $80,000 - $100,000

Skills and Salary

Specific skills can have a substantial impact on salary ranges for jobs that align with these search preferences. Certain in-demand skills are highly valued by employers and can significantly boost compensation. These skills often reflect the unique requirements and challenges faced by professionals in these roles. Some of the most sought-after skills that correlate with higher salaries include SQL, Data Analysis and ETL. Mastering these skills can demonstrate expertise and make individuals more competitive in the job market. Employers often prioritize candidates who possess these skills, as they can contribute directly to the organization's success. The ability to effectively utilize these skills can lead to increased earning potential and career advancement opportunities.

  1. SQL

    100% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $80,000 - $100,000

  2. Data Analysis

    100% jobs mention Data Analysis as a required skill. The Median Salary Range for these jobs is $80,000 - $100,000

  3. ETL

    100% jobs mention ETL as a required skill. The Median Salary Range for these jobs is $80,000 - $100,000

  4. Tableau

    100% jobs mention Tableau as a required skill. The Median Salary Range for these jobs is $80,000 - $100,000

  5. Data science

    100% jobs mention Data science as a required skill. The Median Salary Range for these jobs is $80,000 - $100,000

Industries and Salary

Industry plays a crucial role in determining salary ranges for jobs that align with these search preferences. Certain industries offer significantly higher compensation packages compared to others. Factors such as industry size, profitability, and market trends can influence salary levels within these sectors. It's important to consider industry-specific factors when evaluating potential career paths and salary expectations.

  1. Data Analytics

    100% jobs are in Data Analytics industry. The Median Salary Range for these jobs is $80,000 - $100,000

Disclaimer: This analysis is based on salary ranges advertised in job descriptions found on Remoote.app. While it provides valuable insights into potential compensation, it's important to understand that advertised salary ranges may not always reflect the actual salaries paid to employees. Furthermore, not all companies disclose salary ranges, which can impact the accuracy of this analysis. Several factors can influence the final compensation package, including:

  • Negotiation: Salary ranges often serve as a starting point for negotiation. Your experience, skills, and qualifications can influence the final offer you receive.
  • Benefits: Salaries are just one component of total compensation. Some companies may offer competitive benefits packages that include health insurance, paid time off, retirement plans, and other perks. The value of these benefits can significantly affect your overall compensation.
  • Cost of Living: The cost of living in a particular location can impact salary expectations. Some areas may require higher salaries to maintain a similar standard of living compared to others.

Jobs

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πŸ”₯ Data Analyst
Posted 10 days ago

πŸ“ Mexico

🧭 Part-Time

πŸ’Έ 600.0 - 1000.0 USD per month

πŸ” Video Production

🏒 Company: LocalEyes Video Production

  • Experience in a similar data entry or administrative role (internships or part-time work count!).
  • Bachelor’s degree in Business Administration, Operations Management, Data Analytics, or a related field (or equivalent experience).
  • Knowledge of Google Sheets and Excel, including pivot tables, advanced formulas, and scripting
  • Advanced English
  • Strong attention to detail and focus on accuracy.
  • Organized and able to manage multiple tasks with clear priorities.
  • Input and update key operational data into spreadsheets and systems with a high level of accuracy.
  • Maintain and organize existing data files to ensure they are up to date and easily accessible.
  • Double-check data for errors and inconsistencies to maintain data accuracy.
  • Prepare and update simple reports using Google Sheets or Excel.
  • Assist with generating summaries or insights from operational data as needed.
  • Ensure all reports are accurate and delivered on time.
  • Assist the Operations Manager and team with administrative tasks, including tracking project progress, maintaining documentation, and organizing files.
  • Handle ad hoc requests to support team members and improve workflows.
  • Communicate updates and ensure team members have the information they need to succeed.

Microsoft ExcelReportingData entryScriptingData management

Posted 10 days ago
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πŸ”₯ Data Analyst
Posted 5 months ago

πŸ“ United States

🧭 Full-Time

πŸ’Έ 80000 - 100000 USD per year

πŸ” Data Analytics

🏒 Company: NuViewπŸ‘₯ 101-250Call CenterSalesMarketing

  • Bachelor's Degree in Analytics, Economics, Mathematics, Computer Science or a related Field.
  • 1-3 Years of Relevant job experience.
  • SQL Required.
  • R or Python experience a plus.
  • Tableau, PowerBI, or Looker Proficiency including advanced calculations or advanced DAX.
  • Looking for a self-starter that can work well autonomously and together with a team to figure out solutions for clients.
  • Ability to process data objectively and efficiently.
  • Intellectually curious about new data tools and data analytics/science strategies.
  • Familiarity across modern data stack including ETL (Stitch, Rivery, Fivetran, etc.), Data warehouse (Big Query, Redshift, Snowflake, etc.) and Data Visualization (Tableau, Looker, Power BI, etc.).
  • Candidate will complete data analytics and data science projects for clients.
  • Candidate will work on client projects from start to finish – scoping, onboarding, delivering.
  • Candidate will train and develop new skills in both engagement process and data analytics skill sets when needed.

SQLData AnalysisETLTableauData science

Posted 5 months ago
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