Analytics Specialist

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Analytics Specialist

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9440

/month 

Average US Salary

1200

/month 

Average LatAm Salary

87

%

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Analytics Specialist

Job Description

Analytics Specialist

Tasks:

  • Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality.
  • Gather, analyze, and interpret data using statistical tools and software.
  • Design and create data reports and reporting tools to help business executives in their decision-making.
  • Perform data mining and data auditing to identify trends, patterns, and insights within the data.
  • Work with management to prioritize business and information needs.
  • Identify, analyze, and interpret trends or patterns in complex data sets.
  • Locate and define new process improvement opportunities.
  • Collaborate with engineering and product development teams to implement and integrate new analytics technologies or techniques.
  • Monitor and audit data quality, ensuring compliance with data governance and standards.
  • Communicate analytical insights through sophisticated visualization and clear, concise reporting.

Analytics Specialist

Qualifications:

  • Proven experience in a data analytics role or related field.
  • Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL, etc.), programming (XML, JavaScript, or ETL frameworks).
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.).
  • Adept at queries, report writing and presenting findings.
  • BS in Mathematics, Economics, Computer Science, Information Management, Statistics, or related field.
  • Experience in working with and creating databases and dashboards using all relevant data to inform decisions.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Adept at report writing and presenting findings.
  • Proficiency in one or more analytics tools or languages (e.g., R, Python, Tableau, Power BI).
  • Critical-thinking and problem-solving skills.

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