Data Analyst Job Description

This Data Analyst job description template can be posted to online job forums and career pages for the recruitment of candidates. The Data Analyst job description, its requirements, and responsibilities given in this template can be modified according to the specific nature of your company.

The primary job role of a Data Analyst is to:

  • Acquire data from primary/secondary sources and maintain databases or data systems
  • Develop and implement data analytics, data collection systems and other strategies which can optimize statistical quality and efficiency
  • Interpret data and analyze results by statistical techniques as well as provide ongoing reports

Data Analyst Job Description

We are hiring a certified Data Analyst for converting raw data into valuable information which can then be used as valuable business insight, ultimately helping us in making better decisions for our company. You will conduct lifecycle analysis of data including all related activities. You will be responsible for monitoring quality control plans and performance procedures so as to ensure accuracy. Your main goal will be to collect, analyze and interpret data as well as report the results which will add value to our business. So, if you like to work in a challenging environment, and qualify the following requirements, we would like to hear from you.


  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Information Management or other related fields
  • Past experience as a business data analyst
  • Solid background in Statistics as well as experience with statistical data analysis packages such as Excel, SPSS and SAS
  • Experience with programming packages like JavaScript, XML, ETL frameworks as well as reporting packages like Business Objects
  • Sound knowledge of data mining, data models, data segmentation and database development techniques
  • Exceptional analytical skills along with expertise in collecting, organizing, analyzing and disseminating data
  • A keen eye for details so as to ensure accuracy
  • Ability to handle queries, write reports, and present results/findings in an efficient way
  • Exceptional communication skills


  • Acquiring data from primary/secondary sources and maintaining databases and data systems
  • Developing and implementing data analytics, data collection systems and other strategies for optimizing statistical quality and efficiency
  • Interpreting data and analyzing results by statistical techniques as well as providing ongoing reports
  • Filtering and “cleaning” data by reviewing reports, printouts, and key performance indicators so as to locate and resolve coding problems
  • Identifying, analyzing, and interpreting trends/patterns in complex data sets
  • Working with upper management for prioritizing business informational needs
  • Developing and implementing new technologies for process improvement