Data Analyst Job Description

We uncover everything you need to know to create the optimal job description to attract the best fit for your company.

Scroll down below to view the sample template, which should only serve as a guide and may be edited according to your company’s needs. We also provide a comprehensive description of the role below.

Data Analyst Job Description Template

About the Company

This is where you make a first impression with prospective hires. In this section, write a concise paragraph about your company and what candidates can expect from working with your team. 

Here are a few details you may include in your introduction: 

• Products & services

• Company size

• Company’s mission & goals

• Key clients

• Company culture & work environment 

Data Analyst Job Description

As a Data Analyst in our team, you are responsible for using statistical techniques to collect, store, and interpret large data sets from primary and secondary sources. You will be identifying trends from sales, market research, logistics, and more.

Roles and Responsibilities

• Find, collect, and store primary and secondary sources of data.

• Use statistical techniques to analyze complex data sets and identify trends.

• Clean/filter raw data to provide real-time readable reports on a weekly basis.

• Create and maintain comprehensive databases, data systems, data analytics, and frameworks.

• Interpret external trends that could potentially affect the industry and business.

• Work with stakeholders as a business intelligence analyst to identify opportunity gaps and support business decisions.

• Identify process improvement opportunities.

• Optimize analysis processes and data models.

Skills

• Data Visualization and Design

• Data Mining and Segmentation

• Data Collection

• Programming Languages (SQL and NoSQL)

• Statistical Programming (Python)

• Machine Learning

• Reporting & Presentation

• Expert in Microsoft Excel

• Statistical Analysis

• Tableau

Qualifications

• A Bachelor’s Degree in Computer Science, Statistics, Mathematics, Engineering, or any related field or a master’s degree in data science.

• 3+ years of experience in any related field.

• Technical expertise in database design.

• The ability to interpret trends and provide recommendations.

• Excellent analytical skills, critical thinking skills, problem-solving skills, and communication skills.

• Knowledgeable in information technology.

What is Data Analysis?

A Data Analyst job description must be written with a deep understanding of the role in your company. Clearly know and communicate how the role will fill some of your organization’s gaps.

First, let’s define the term – data analysis is collecting, filtering, and reading complex data from various data sources to help organizations make informed decisions.

There are different types of data analysis that can help your decision-making, and an ideal candidate should be savvy about all of them. 

• Descriptive Analysis
  These are easy-to-read summarized data that simply describes what happened in the past, without drawing conclusions or explanations from the data. 

• Exploratory Analysis
  This type of analysis observes data to discover findings and the relationship between variables. It is often used for drawing a hypothesis. 

• Inferential Analysis
  This uses sample size data to infer a larger data set. It is often useful for predictive analysis when you want to make a forecast on a larger data set. 

• Diagnostic Analysis
  This determines the cause of trends or correlation between variables in a data set. It usually answers the question, “why did this happen?”

• Predictive Analysis
  This forecasts a likely outcome based on historical data by using statistical algorithms, machine learning, and other data analysis techniques. 

• Prescriptive Analysis
  This uses data to determine best practices and form recommendations for optimal results in any possible outcome. 

What Does a Data Analyst do?

The Data Analyst role enables organizations with informed decision-making based on essential data in sales, market research, industry trends, and logistics. Thus, data analysts may act like your resource person and consultant before making any big decisions to scale your efforts. 

It’s imperative to understand the role’s day-to-day deliverables, which you may communicate under the Data Analyst responsibilities, such as implementing and maintaining databases, filtering data, and providing readable reports.

Know the technical skills required for the skills portion as well. Examples of these are data visualization and design, programming languages, statistical programming, machine learning, and more. 

Types of Data Analysts

Here are types of data analysts to narrow down your search for the right candidate. 

• Market Research Analyst

• Business Intelligence Analyst

• Business Analyst

• Medical & Healthcare Analyst