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Data consultant skills for your resume and career

Updated January 8, 2025

6 min read

Quoted experts

Michael Munger,

Michael Munger

Below we've compiled a list of the most critical data consultant skills. We ranked the top skills for data consultants based on the percentage of resumes they appeared on. For example, 13.0% of data consultant resumes contained analytics as a skill. Continue reading to find out what skills a data consultant needs to be successful in the workplace.

15 data consultant skills for your resume and career

1. Analytics

Here's how data consultants use analytics:

Create visualizations, reporting and dashboards to support continuous monitoring of Key Performance Metrics for business analytics and decisions.
Developed dashboards and scoreboards for detailed analysis using different analytics like Speedometer, Interactive Metric Trends, and Barometers.

2. Data Quality

Here's how data consultants use data quality:

Performed data quality analysis in order to provide corporate customers with timely, accurate information regarding their health care expenditure costs.
Participated in development of data quality tool key features and capabilities criteria selection matrix as part of DQ tool evaluation/selection process.

3. Data Management

The administrative process that involves collecting and keeping the data safely and cost-effectively is called data management. Data management is a growing field as companies rely on it to store their intangible assets securely to create value. Efficient data management helps a company use the data to make better business decisions.

Here's how data consultants use data management:

Recommended best practices for data management and data structure, including the integration of statistical programming software.
Provided input to Corporate Audit and IT Security regarding existing data governance and data management practices.

4. Data Governance

Data governance is an assortment of cycles, jobs, arrangements, principles, and measurements that guarantee the successful and productive utilization of data in empowering an association to accomplish its objectives. Information administration characterizes who can make a what move, upon what information, in what circumstances, utilizing what strategies

Here's how data consultants use data governance:

Gathered and distilled artifacts for requirements on major Business Bank Administration implementation as relating to data governance design.
Performed a Data Governance assessment for their global marketing division.

5. Informatica

Informatica is a cloud data management that provides data integration and transformation. This is an ETL extract, transform and load tool that helps connect and retrieve data from multiple data sources and load it into various target databases and file systems.

Here's how data consultants use informatica:

Advised Project Management of Best Practice approaches for upgrade and maintenance of Informatica PowerCenter components.
Used Informatica Repository Manager to maintain all the repositories of various applications.

6. Master Data

Master data is the consistent, cohesive identifiers and extended attributes that describe the core entities of a company, including customers, prospects, citizens, vendors, locations, hierarchies, chart of accounts, and the objects around which a business is conducted. Master data enhances and improves data quality and can help eliminate data maintenance across multiple sources. Centralizing all master data enables companies to configure dedicated data governance and compliance processes.

Here's how data consultants use master data:

Delivered organizational data flow diagrams for the high level project solution addressing each master data domain and source/target system.
Developed more efficient and cost effective customer master data maintenance process models and implementation paths.

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7. Visualization

Here's how data consultants use visualization:

Provided consulting services to rapidly iterate on data projects related to predictive modeling, data mining, and visualization.
Key Achievement: * Built an actionable insights-driven Tableau visualization dashboard to help Zeno gather insights from survey responses.

8. Python

Python is a widely-known programming language. It is an object-oriented and all-purpose, coding language that can be used for software development as well as web development.

Here's how data consultants use python:

Profiled python code for optimization and memory management.
Utilized Natural Language Processing in order to extract insights for each learning and development plan using NLTK library in Python.

9. ETL

Here's how data consultants use etl:

Developed complex ETL procedures to update/insert/delete data from heterogeneous sources.
Assisted staff with incorporating ETL modifications.

10. MDM

MDM stands for master management data. It pertains to the process of developing and organizing data on various aspects, such as customers, products, and businesses.

Here's how data consultants use mdm:

Worked within Vendor Master and Customer Master of SAP and MDM.
Build the MDM process to update the latest address Information.

11. Prototyping

Here's how data consultants use prototyping:

Developed the Use cases and Technical prototyping to implement PIG, HDP, HIVE and HBASE.
Configured the sand box system for prototyping & demo purposes.

12. Power Bi

Here's how data consultants use power bi:

Created multiple data visualization solution for initial Power BI business preview.
Developed Reporting solutions using Power BI.

13. Hadoop

Hadoop is an open-source software and procedures framework that is free for anyone to use on the internet. Hadoop aids in big data operations. It allows massive data storage, applications to be run on commodity hardware, and can easily manage to run various tasks occurring at the same time.

Here's how data consultants use hadoop:

Worked to keep Hadoop infrastructure operation across different environments with 24x7 support.
Migrated historical insurance claims from the archival database to Hadoop ecosystems.

14. BI

Here's how data consultants use bi:

Interacted with the clients, business analysts and BI developer for collecting, understanding and evaluating the business requirements.
Involved in RPD Development, Oracle BI Administration, Oracle BI Answers, dashboards, and star schema modeling.

15. 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 data consultants use sas:

Developed many Inpatient utilization reports using SAS on various hospital initiatives to improve outside cost and reduce hospital re-admission.
Increased audit efficiency by developing SAS programs to automate manual testing procedures.

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What skills help Data Consultants find jobs?

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

What skills stand out on data consultant resumes?

Michael Munger

Director of Undergraduate Studies, Director, PPE Program, Duke University

Political science is an ancient career synergy, one that explores the connections between ethical considerations and engineering policy that works. Someone who majors in Political Science is able to make arguments about the questions that have plagued philosophers for thousands of years while using the latest data techniques to scrape online sources of information on social media. So political science instructors have to combine ethics, knowledge of esoteric procedures and laws, and statistics!

What soft skills should all data consultants possess?

Michael Munger

Director of Undergraduate Studies, Director, PPE Program, Duke University

Working in groups. And that's hard to teach. The best teacher is experience. Often, students learn the most when their group fails or the other members don't pull their weight. The ability to work in unstructured environments and still achieve group success is a big part of many jobs. And Political Science teaches that.

What hard/technical skills are most important for data consultants?

Michael Munger

Director of Undergraduate Studies, Director, PPE Program, Duke University

Political Science students should take at least one Computer Science class, be able to run a spreadsheet with skill, and be able to write crisp prose that gets to the point.

What data consultant skills would you recommend for someone trying to advance their career?

Dr. Brian Simmons

Associate Provost, Columbia International University

I would not think so much in terms of "skills to enhance" but rather experiences that will add depth of insight and understanding. Candidates with a variety of practical experiences, coupled with rigorous academic training, are set apart from others.

What type of skills will young data consultants need?

David Smith

Consultant, Coach and Speaker, David J. Smith Consulting

Of course, the need for tech-based skills will continue. But moreover, in the next couple of years, there will be increased demands for careers where personal and humanistic approaches are needed. These are wide-ranging: from home health aids to life coaches. For that reason, the ability to show empathy, apply good listening abilities, and understand and respond to a client's personal challenges will be critical. As society continues to diversify along ethnic, cultural, political, and economic lines, there will be an urgent need for professionals who can seek to connect with clients and help them build bridges, at times, with those who are different.

Do you want to know more?

List of data consultant skills to add to your resume

The most important skills for a data consultant resume and required skills for a data consultant to have include:

Analytics
Data Quality
Data Management
Data Governance
Informatica
Master Data
Visualization
Python
ETL
MDM
Prototyping
Power Bi
Hadoop
BI
SAS
Data Analysis
Java

Data Lake
Tableau
Azure
Kafka
Extraction
Profiling
Scala
Data Migration
Client Facing
Technical Specifications
Data Integrity
SQL Server
Data Extraction
SAP Data
Legacy Systems
CRM
Data Conversion

ERP
DB2
Strong Analytical
Data Loss Prevention
Amazon Web Services
Macro
NoSQL
HBase
Oracle Sql
Business Process
MM
Data Warehousing
Bods
HDFS
Sqoop

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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