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Senior business data analyst skills for your resume and career

Updated January 8, 2025

5 min read

Quoted experts

Van Wood Ph.D.,

Van Wood Ph.D.

Below we've compiled a list of the most critical senior business data analyst skills. We ranked the top skills for senior business data analysts based on the percentage of resumes they appeared on. For example, 11.4% of senior business data analyst resumes contained tableau as a skill. Continue reading to find out what skills a senior business data analyst needs to be successful in the workplace.

15 senior business data analyst skills for your resume and career

1. Tableau

Here's how senior business data analysts use tableau:

Designed and Developed Complex Active reports and Dashboards with different data visualizations using Tableau desktop on customer data.
Generated numerous Tableau dashboards to visualize performance improvements for the new release.

2. Data Analysis

Here's how senior business data analysts use data analysis:

Performed hands-on detailed & high-level data analysis; Produced well-articulated project requirement, specification, test & design artifacts.
Performed detailed data analysis in order to Provide detailed business and data requirements including complex data.

3. Visualization

Here's how senior business data analysts use visualization:

Created developing dashboards and reporting visualization.
Used Pandas data frames and python packages for data visualization of application database landscape for encryption planning.

4. Power Bi

Here's how senior business data analysts use power bi:

Build the strategic dashboard using Power BI to build the forecasting target and the sales strategy to achieve the goals.
Created reporting solutions in Excel and Power BI that sourced data from SQL data sources using complex queries.

5. BI

Here's how senior business data analysts use bi:

Assist in building strategic BI dashboards to facilitate identifying customer engagement targeting opportunities.
Conducted System analysis to identify and prioritize the BI requirements.

6. Data Quality

Here's how senior business data analysts use data quality:

Coordinated UAT activities and developed business scenarios for statement rendition, performance reporting, data quality check.
Developed SQL-based data quality routines for speaker program compliance and transparency reporting to government authorities.

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7. ETL

Here's how senior business data analysts use etl:

Facilitated/Developed Systems/Data Integration strategy; source system data ETL strategy, data staging, movement and aggregation strategy.
Worked with application developers to update logic tables in Oracle Discoverer application and ETL environment.

8. Business Process

A business process is a group of tasks that are performed by people working in a business to attain a worthy product and to present it to their customers. A business process can also be defined as performing several steps to achieve a certain goal set by a company. Business processes need to set purposeful goals and the outcome of that goal should be clear.

Here's how senior business data analysts use business process:

Worked in accounting and finance business process in a property & casualty insurance environment, especially financial statement report writing.
Identified business process, application monitoring, asset tracking or report metric inefficiencies and submit solution recommendations to management.

9. PowerPoint

Here's how senior business data analysts use powerpoint:

Created a Rebate Flow Diagram in MS PowerPoint.
Provide ongoing training to coworkers to assist with analysis, including preparing PowerPoint presentations and training video content.

10. SAS

SAS stands for Statistical Analysis System which is a Statistical Software designed by SAS institute. This software enables users to perform advanced analytics and queries related to data analytics and predictive analysis. It can retrieve data from different sources and perform statistical analysis on it.

Here's how senior business data analysts use sas:

Developed T-SQL queries and SAS programs on the data that was collected, depending on the needs of the client.
Created complex and reusable SAS macros to create tables, listings and graphs for submissions to higher management.

11. SQL Server

Here's how senior business data analysts use sql server:

Experienced facilitating the design and configuration of NetSuite, developing reports on SSAS & SSRS on SQL Server (2005/2008/2008R2).
Validated the data on the customer service application after doing modifications in the SQL Server tables using SQL Queries.

12. B Testing

Here's how senior business data analysts use b testing:

Identify areas for A/B testing and suggest improvements/options based on heat maps and click analysis.
Implement proper A/B testing procedure in Sales and Marketing verticals to better evaluate initiatives.

13. Scrum

Scrum is a lean structure for communicating, designing, and promoting complex products, with a focus on programming development. It has been applied to a variety of areas, including manufacturing, testing, new technology, and marketing techniques. Scrum is a simple framework that helps people, organizations, and teams generate value by providing many solutions to complicated problems.

Here's how senior business data analysts use scrum:

Acted as the Scrum Master for a pilot Agile project, and also as a Product Owner on another reporting project.
Assisted Scrum Master to help plan tasks and task estimates, and generated reports to present to leadership.

14. Data Warehouse

Data warehouse, often abbreviated as either DW or DWH is a system used in computing for data analysis as well reporting. The DW is also considered to be an integral component of business intelligence as they also provide storage facilities for both real-time and historical data. ETL and ELT are the two driving forces behind a data warehouse system.

Here's how senior business data analysts use data warehouse:

Determined database business requirements, created the logical and physical database design for relational Data Warehouse environment.
Researched and estimated data warehouse enhancement requests (requirements gathering) and assessed business impact and value.

15. Data Models

Here's how senior business data analysts use data models:

Experienced with projects related to Enterprise Data Model, Operational Data Store, Metadata Repository and Master Data Management.
Analyzed the physical data model to validate the business requirements and provide recommendations to the management.

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What skills help Senior Business Data Analysts find jobs?

Tell us what job you are looking for, we’ll show you what skills employers want.

What soft skills should all senior business data analysts possess?

Van Wood Ph.D.

Philip Morris Endowed Chair in International Business, Director - VCU Center for International Business Advancement (CIBA), Professor of International Marketing, Virginia Commonwealth University

The most important key to success in business (global or domestic) lies in building relationships (with consumers, allies, government agents, suppliers, and others) based on trust, mutual respect, and a keen understanding of the motivations behind stakeholders' actions. What do they value, what turns on their after-burners and what cultural realities most influence stakeholders' behavior? Successful international business professionals tend to demonstrate a keen sense of curiosity, creativity, adventure, problem-solving alternatives and are driven to continuously upgrade their education and learning about our changing global business environment.

What skills stand out on senior business data analyst resumes?

Van Wood Ph.D.

Philip Morris Endowed Chair in International Business, Director - VCU Center for International Business Advancement (CIBA), Professor of International Marketing, Virginia Commonwealth University

The skills that stand out most can be positioned under two umbrellas - 1) What I call the 30,000-foot skill, namely the ability to understand and articulate the "super-story" of our time, namely "globalization." Students that can fully tell the story of the transition from the old super story - The Cold War, East vs. West, Capitalism versus Communism, to the story involving the rise of big emerging markets, the rapid urbanization there-in, and the enormous global business opportunities arising from this. A visual understanding of globalization conveys to those who are hiring that you're a significant thinker who has both a historical and contemporary perspective that is critical for future growth and prosperity. And - 2) What I call the 30-foot skill, which involves being able to translate that knowledge of globalization into actionable insights, including - a) analysis and selection of promising international markets for any client company, b) strategic alliance formation and international marketing resource expenditure strategies, and c) knowing how to sustain long-term competitiveness and productivity in international markets.

What hard/technical skills are most important for senior business data analysts?

Van Wood Ph.D.

Philip Morris Endowed Chair in International Business, Director - VCU Center for International Business Advancement (CIBA), Professor of International Marketing, Virginia Commonwealth University

The ability to measure and compare (quantitatively) those dimensions of an international business environment (i.e., market potential, political and legal considerations, infrastructure realities, economic growth, and cultural nuances) that lead to a relative ranking of promising international markets is a technical skill that is critical to global business success. This requires an intimate knowledge and ability to use world-class databases found in world-class university libraries like VCU's (e.g., data-based such as globalEDGE, Business Source Complete, EIU Country Reports, Passport GMID, BCC Research, Uniworld Online, IBISWorld, etc.). This represents the hard/technical skills needed to complement one's historical and contemporary knowledge of global business realities, in conjunction with the soft skills needed by professionals if they are to truly have a long and successful career.

What senior business data analyst skills would you recommend for someone trying to advance their career?

David Preece

Academic Director, Associate Professor, Brigham Young University-Hawaii

Any time a graduate intentionally takes time off before beginning work, they should focus on activities and experiences that contribute to personal growth and professional development. This could take the form of volunteer service for a charity or community, working as an intern to gain first-hand professional experience, expand career networks, or even travel to new and different destinations that allow for learning about unique places and cultures.

What type of skills will young senior business data analysts need?

Missy Gutkowski

Assistant Dean, Bucknell University

As remote and flexible work continues to penetrate industries across the country, daily office check-in conversations and hallway chatter are rare. New employees should be prepared to bring to the table analytical skills to gather, review, and synthesize information for further review, clarification, and report outs.

New employees should be prepared to communicate well and often, not only expressing expectations of what they need to complete their work but also to frequently updating supervisors and coworkers. Quickly learning the communication preferences and style of a supervisor and organization will set a new employee up for success in any industry.

What technical skills for a senior business data analyst stand out to employers?

Jennifer Niggemeier

Director, University of Michigan

Compared to a year ago, employers have far more experience recruiting, onboarding, and working with employees in a virtual space. And many employers will continue to offer remote work given how successful it has been for many organizations. As a result, for many positions, applicants no longer need to be 'anchored to place' when applying to positions.

Do you want to know more?

List of senior business data analyst skills to add to your resume

The most important skills for a senior business data analyst resume and required skills for a senior business data analyst to have include:

Tableau
Data Analysis
Visualization
Power Bi
BI
Data Quality
ETL
Business Process
PowerPoint
SAS
SQL Server
B Testing
Scrum
Data Warehouse
Data Models
Java
Strong Analytical

Data Dictionary
UAT
User Acceptance
Test Cases
Extraction
User Stories
SME
CRM
Data Validation
VBA
Microsoft Visio
QA
Oracle Sql
SDLC
Jira
SharePoint
Profiling

Digital Marketing
Technical Specifications
Client Facing
Data Warehousing
Functional Specifications
Data Elements
Gap Analysis
Business Rules
SSRS
Regression
Business Analysts
Application Development
MDM
Informatica
JAD
Data Flow Diagrams

Updated January 8, 2025

Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

Updated January 8, 2025

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