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Data Analyst

As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers build data-driven processes. Your role will involve driving initiatives to optimize for operational excellence and revenue.

IT and Development Industry

The IT and Development department is the department within a company that is charged with establishing, monitoring and maintaining information technology systems and services.

What to expect from the role

  • Work with raw data to help analyze and structure it.
  • Observe trends and create reports.
  • Collaborate and work with team members.
  • Guidance from experts in the field
  • Learning on the job with scope for growth.


  • Ensure that data flows smoothly from source to destination so that it can be processed
  • Utilize strong database skills to work with large, complex data sets to extract insights
  • Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes
  • Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure
  • Build tools for automating repetitive tasks so that bandwidth can be freed for analytics
  • Collaborate with program managers and business analysts to help them come up with actionable, high-impact insights across product lines and functions
  • Work closely with top management to prioritize information and analytic needs


  • Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science), preferably with work experience of over 2 years.
  • Ability to program in any high-level language is required. Familiarity with R and statistical packages are preferred.
  • Proven problem solving and debugging skills.
  • Ability to manage simultaneous tasks in a fast-paced, technology-oriented environment.
  • Familiarity with database technologies and tools (SQL/R/SAS/JMP etc.), data warehousing, transformation, and processing. Work experience with real data for customer insights, business, and market analysis will be advantageous.
  • Experience with text analytics, data mining and social media analytics.
  • Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc.

Average Salary

On average $83,878 per annum.

it development data analyst

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Career Path

Data Analysts are mathematicians, trend-spotters, and handle large amounts of data. Their role is to analyze large volumes of data and to find trends in the data and gain a deeper insight into what it all means. Although it is not an entry-level job, it is a stepping stone if you are looking to make a career out of IT and Development. Here are a few steps you can take towards this job role:

  • Bachelor's degree in computer science, engineering, data analytics, economics, and relevant fields.
  • Master’s degree in the similar discipline.
  • 3-5 years of experience in data analysis, IT and development.

Career Progression

With sufficient experience in this job category, you can move on to other jobs in this field such as:

  • Data Architect
  • Data Scientist
  • Marketing Analyst
  • Business Analyst

Sample Questions

  • Why did you want to become a data analyst?

  • What part of your job do you enjoy the most?

  • What qualities of yours make you best suited for this job?

Human Resources
  • How comfortable are you to work with flexible timings and on weekends?

  • What would you do if an employee was violating company policies?

  • What is the best onboarding method according to you?

  • How would you handle multiple data heavy deadlines?

  • How would you manage your time if you were given a team to guide?

  • What would you describe your management style?

Technical knowledge and skills
  • What process do you use while setting up a project you are working on? How do you work?

  • What software do you use to optimize your workflow?

  • How do you clean data?