Business Analytics Career

Functional Skills

Functional Skills are essential skills that help individuals perform tasks effectively in everyday life, work, and education.

Data Analysis & Interpretation

Statistical Modeling

Data Visualization

Business Intelligence (BI)

SQL & Database Management

Predictive Analytics

Machine Learning

Communication & Presentation

Problem-Solving

Business Process Modeling

Requirements Elicitation

Project Management

Soft Skills

Communication, teamwork, and critical thinking to ensure seamless project execution.

Communication Skills

Problem-Solving

Critical Thinking

Teamwork and Collaboration

Adaptability

Time Management

Attention to Detail

Presentation Skills

Leadership Skills

Negotiation Skills

Technical Skills

Technical Skills are specialized abilities and knowledge needed to perform specific tasks or functions.

Data Visualization

Statistical Analysis

Data Mining

SQL

Machine Learning

Excel

Python Programming

Communication and Presentation Skills

Duties and Responsiblities

Task

95%

Data Analysis & Interpretation: Analyze complex datasets to identify trends, patterns, and insights relevant to business objectives.

92%

Statistical Modeling: Develop and implement statistical models to forecast future trends and support decision-making processes.

90%

Data Visualization: Create compelling data visualizations (e.g., charts, graphs, dashboards) to communicate findings effectively to stakeholders.

88%

Business Intelligence (BI) Tools: Utilize BI tools (e.g., Tableau, Power BI) to build interactive dashboards and reports.

85%

Data Mining: Apply data mining techniques to extract valuable information from large datasets.

82%

SQL & Database Management: Write SQL queries to extract, transform, and load (ETL) data from various databases.

80%

Predictive Analytics: Build predictive models to forecast future outcomes and optimize business strategies.

78%

A/B Testing: Design and analyze A/B tests to optimize marketing campaigns and product features.

75%

Report Generation: Prepare detailed reports summarizing data analysis findings and recommendations.

72%

Data Cleaning & Preprocessing: Clean and preprocess raw data to ensure data quality and accuracy.

70%

Machine Learning (ML): Implement machine learning algorithms to solve business problems and improve decision-making.

68%

Data Governance: Ensure compliance with data governance policies and standards.

Work Activities

95%

Analyze complex datasets to identify trends, patterns, and insights that drive strategic business decisions.

92%

Develop and implement statistical models to forecast future trends and assess the impact of business decisions.

90%

Create clear, concise reports and visualizations to communicate analytical findings to stakeholders.

88%

Identify areas for improvement in business processes and recommend data-driven solutions.

85%

Extract, clean, and transform data from various sources to ensure data quality and reliability.

82%

Use predictive modeling techniques to forecast future outcomes and optimize business strategies.

80%

Design and develop interactive dashboards to monitor key performance indicators (KPIs) and track business performance.

78%

Design and analyze A/B tests to optimize marketing campaigns and improve customer engagement.

75%

Ensure data governance policies are followed and maintain compliance with data privacy regulations.

72%

Manage and query SQL databases to extract and analyze relevant data for business insights.

70%

Communicate analytical findings and recommendations to stakeholders in a clear and concise manner.

Detailed Work Profile

Interests