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Title

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Research Analyst

Description

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We are looking for a detail-oriented Research Analyst to assist us in our decision-making processes. The Research Analyst's responsibilities include gathering and analyzing data, compiling it into reports, and presenting findings to relevant departmental heads. You should be able to interpret and document data, prepare detailed reports, and provide recommendations based on your findings. To be successful as a Research Analyst, you should have strong analytical skills, be detail-oriented, and possess the ability to work independently. You should also have excellent communication skills and be able to present information in a user-friendly manner.

Responsibilities

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  • Collecting and interpreting data
  • Analyzing results
  • Reporting the results back to the relevant parties
  • Identifying patterns and trends in data sets
  • Working alongside teams within the business or the management team to establish business needs
  • Defining new data collection and analysis processes
  • Presenting findings to team members and other stakeholders
  • Making recommendations based on data findings
  • Maintaining databases and data systems
  • Ensuring data quality and integrity

Requirements

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  • Bachelor’s degree in Mathematics, Economics, Computer Science, Information Management or Statistics
  • Proven working experience as a data analyst or business data analyst
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Adept at queries, report writing and presenting findings
  • Knowledge of statistics and experience using statistical packages for analyzing datasets
  • Strong knowledge of and experience with reporting packages, databases, and programming
  • Ability to analyze, model and interpret data
  • Problem-solving skills
  • A methodical and logical approach
  • The ability to plan work and meet deadlines

Potential interview questions

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  • Can you describe a time when you had to present complex information in a simplified way?
  • What methods do you use to ensure data quality and integrity?
  • How do you handle tight deadlines and multiple projects?
  • Can you describe a time when your analysis significantly impacted business decisions?
  • What statistical analysis tools are you most comfortable working with?