Business Analytics Data Visualization

All About Data & Business Analytics Domain

All About Data & Business Analytics Domain


Business and Data Analytics is a practice by which a specific set of techniques, competencies, and procedures are applied to perform the continuous exploration, iteration, and investigation of past and current business data, for the purposes of obtaining insights about a business that can lead to improved decision-making. It can be both generalists and specialists depending on where they are working

It covers 6 practice domains:

  • Identify the Research Questions basis the Business Objectives/Problems
  • Source Data
  • Analyze Data
  • Interpret and Report Data
  • Use Results to Influence Decision Making
  • Guide Organization-level Strategy for Business Data Analytics

‘‘Without Big Data Analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.’’ – Geoffrey Moore (American consultant)

Credits: CareerFoundry

Salary Prospects for Entry Level

Credits: Payscale 

Future Prospects

Credits: Interviewbit

Personality Traits

  • Data-Driven: A data-driven personality is someone who feels empowered to solve difficult problems by having as much data as possible on their side. They have a high level of intellectual honesty and never presume anything
  • Coder: A coder creates and formats computer software programs. Writing code allows the software to perform multiple tasks including word processing, creative design programs, and other industry-specific functions.
  • Researcher: Researchers collect, organize, and analyze opinions and data to solve problems, explore issues, and predict trends.
  • Mathematician: A mathematician is someone who uses extensive mathematical knowledge in various ways. Their work usually involves numbers, data, quantity, structure, space, models, and change.
  • Problem Solver: A problem solver defines the problem, determines the reason behind it, prioritizes, and weighs the consequences well before implementing their ideas to bring about the best solution.

Skills & Knowledge

Technical Skills

  • Data Analysis and Visualization (Tableau)
  • Data Wrangling (Excel & SQL)
  • Hands-on atleast one Programming Language (Python Prefered)
  • Maths (Statistics & Probability)
  • Machine Learning (Supervised, Time Series, etc)

Soft Skills

  • Analytical mindset & ability to spot patterns
  • Ability to drive others
  • Creative presentation skills
  • Business Acumen for the Domain
  • Communication/ People Skills

Entry Requirements

Credits: Careerhunter

Career Progression

Credits: Springboard

Key Roles & Responsibilities

  • Analyzing and evaluating the current business processes a company has and identifying areas of improvement
  • Researching and reviewing up-to-date business processes and new IT advancements to make systems more modern
  • Presenting ideas and findings in meetings
  • Training and coaching staff members
  • Creating initiatives depending on the business’s requirements and needs
  • Developing projects and monitoring project performance
  • Collaborating with users and stakeholders
  • Working closely with senior management, partners, clients, and technicians

Job Roles in Data Analysis

  • Marketing Analyst
  • Business Intelligence Analyst
  • Research Analyst
  • Operations Analyst
  • Risk Analyst

How can I start my journey

Step 1: Explore the field of Analytics & Understand more about the domain

Step 2: Take up a suitable online course on the subject

Step 3: Try to crack for internships/freelancing jobs

Step 4: Participate in data science competitions

Step 5: Take up the right job which provides an awesome experience.


  1. Renaix
  2. Indeed
  3. Payscale
  4. Interview bit
  5. Career Hunter
  6. Springboard