Great Jobs KC

Business Analytics

What is it?

A data/business analytics person, also known as a data analyst or business analyst, plays a vital role in an organization by collecting, analyzing, and interpreting data to extract valuable insights that inform business decisions. They bridge the gap between data and actionable knowledge, helping organizations improve their operations, optimize processes, and make data-driven choices for strategic advantage.

Here’s a breakdown of the key responsibilities of a data/business analytics person:

Data Acquisition and Management:

  • Identifying and collecting data: They identify relevant data sources from various databases, internal systems, customer surveys, marketing campaigns, or other sources depending on the specific project requirements.
  • Data cleaning and preparation: Data quality is crucial for accurate analysis. Data analysts clean, organize, and format raw data to ensure its accuracy and consistency before analysis.
  • Building and maintaining data pipelines: In some cases, they may build or maintain data pipelines to automate the process of collecting and integrating data from various sources into a central repository for easier access and analysis.

Data Analysis and Visualization:

  • Performing data analysis: They use various statistical and analytical techniques, including data mining, modeling, and hypothesis testing, to identify patterns, trends, and relationships within the data.
  • Creating data visualizations: They transform complex data into easily understandable visuals like charts, graphs, and dashboards to effectively communicate insights to both technical and non-technical audiences.

Communication and Collaboration:

  • Presenting findings and recommendations: Data/business analysts communicate their findings and recommendations to stakeholders, clearly explaining the insights derived from the data analysis and their potential impact on business decisions.

Collaborating with different teams: They often collaborate with various teams within the organization, such as marketing, sales, finance, and operations, to understand their needs, translate data insights into actionable steps, and support data-driven decision-making across different departments.

Additional tasks may include:

The field of data analytics is constantly evolving, and staying current with new tools and techniques is crucial for effective analysis.

In some cases, data/business analysts may build and maintain predictive models or machine learning algorithms to automate data analysis tasks or make data-driven predictions.

They must be familiar with data security regulations and adhere to ethical data practices to protect sensitive information.

* Salary Range

$58,400 - $106,600

(entry level – experienced)

* Regional Jobs Available


(3 year forecast)

Length of Training

24 weeks

Type of Training

Online (Self-paced)

Is it Right For You?

Here are some essential skills and qualities for success in this field:

  • Analytical and problem-solving skills: Identifying patterns, trends, and drawing meaningful conclusions from data are crucial.
  • Strong communication and presentation skills: Effectively communicating complex data insights to diverse audiences is essential.
  • Technical skills: Proficiency in various data analysis tools, programming languages (like SQL, Python, R), and statistical software is valuable.
  • Business acumen: Understanding the business context and how data analysis can inform strategic decisions is important.
  • Curiosity and a passion for learning: The field of data analytics is constantly evolving, requiring a continuous learning mindset to stay updated with the latest trends and technologies.

Overall, data/business analytics is a rapidly growing and in-demand field offering exciting opportunities for individuals who enjoy working with data, solving problems, and using their analytical skills to contribute to organizational success through data-driven decision-making.

* Pay Range Data: Occupational Employment Wages Statistics (OEWS). 2023-Q3.
* Demand: Forecast data is based off national projections provided by the BoLS and adapted for regional growth patterns by Chmura.