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Lead data analyst skills for your resume and career

Updated January 8, 2025
5 min read
Quoted experts
Jason Imbrogno Ph.D.,
Pavel Chernyavskiy Ph.D.
Below we've compiled a list of the most critical lead data analyst skills. We ranked the top skills for lead data analysts based on the percentage of resumes they appeared on. For example, 12.5% of lead data analyst resumes contained analytics as a skill. Continue reading to find out what skills a lead data analyst needs to be successful in the workplace.

15 lead data analyst skills for your resume and career

1. Analytics

Here's how lead data analysts use analytics:
  • Applied Business Analytics to identify gaps in the Surface Distribution Management Systems for global humanitarian relief.
  • Implemented of advanced analytics including predictive modeling, offered optimization and machine learning algorithm.

2. 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 lead data analysts use python:
  • Gained excellent knowledge and understanding of advanced predictive models and programming in Python.
  • Developed a Python web scraping program in order to get weekly pricing data of client's competitors enabling improved product pricing.

3. Power Bi

Here's how lead data analysts use power bi:
  • Created multiple data visualization solution for initial Power BI business preview.
  • Developed Reporting solutions using Power BI.

4. Data Analysis

Here's how lead data analysts use data analysis:
  • Lead data conversion efforts including TPA Data Analysis, Data Mapping document preparation, Policy/Coverage attachment and Data Quality validation.
  • Completed data analysis and write-ups for publication and presented survey results using Microsoft Office and Adobe software.

5. Visualization

Here's how lead data analysts use visualization:
  • Collaborate with other Engineers to determine reporting and data visualization requirements and develop features that add new functionality to the platform.
  • Provided end to end management of multiple projects from conceptualization and visualization to technology mapping and final execution of projects.

6. 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 lead data analysts use sas:
  • Designed the analysis strategy for Customer Satisfaction Survey data and develop SAS macros for automatically reporting process.
  • Implemented model monitoring for performance and validation in SAS Model Manager.

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7. Data Quality

Here's how lead data analysts use data quality:
  • Coordinated with other Business Intelligence and Data Delivery teams in resolving data anomalies and improve data quality in the data warehouse.
  • Tasked with data clean up initiative which encompassed defining metadata and master data and involved heavy data quality management.

8. Analyze Data

Analyze data or data analysis refers to the practice of studying, organizing, and transforming data to make it more useful. It also includes the cleansing of non-useful information which helps in better decision making regarding any particular matter. Analyze data is a practice that is used widely in the field of business, social sciences, and science.

Here's how lead data analysts use analyze data:
  • Analyze data files in various formats and produce functional specifications for offshore programmers using SQL server and Access.
  • Analyze data to better understand and gain knowledge of business processes in order to help with efficiency

9. BI

Here's how lead data analysts use bi:
  • Analyzed the following systems to extract common denominator data required for Reports and Business Intelligence (BI) tools:.
  • Perform UAT testing for the SQL queries that users are currently using through different BI applications.

10. ETL

Here's how lead data analysts use etl:
  • Documented ETL process to move procurement/financial legacy data into Finance and Material Management Modules of SAP.
  • Developed processes for verification of requirements for new ETL application.

11. Data Collection

Data collection means to analyze and collect all the necessary information. It helps in carrying out research and in storing important and necessary information. The most important goal of data collection is to gather the information that is rich and accurate for statistical analysis.

Here's how lead data analysts use data collection:
  • Developed data collections forms and databases.
  • Served as the database administrator and lead database engineer on a program to modernize the 2010 census data collection.

12. Statistical Analysis

Here's how lead data analysts use statistical analysis:
  • Created Excel report modeling for report tracking and providing statistical analysis updating audit progress.
  • Conduct statistical analysis through proportion, regression and trend analysis.

13. SQL Server

Here's how lead data analysts use sql server:
  • Team Lead of several data archival and integrity projects where data is moved from ERP systems onto Oracle 12c/SQL Server platforms.
  • Assist in the development, design and implementation of application systems using MS SQL SERVER, SSIS, and SSRS architecture.

14. Data Analysts

Here's how lead data analysts use data analysts:
  • Supervised programmers and data analysts across 80 hospitals during implementation projects - all were delivered on- time and within scope.
  • Serve as mentor to Data Analysts and Jr. Data Analysts to ensure their knowledge of student systems and department procedures.

15. Data Integrity

Data integrity denotes the consistency or accuracy validation of data in the whole lifecycle of data. It ensures the security of traceability and search-ability of all data in a person's device to the source.

Here's how lead data analysts use data integrity:
  • Analyzed, managed and maintained the company publication database to ensure data integrity and accuracy.
  • Collect and consolidate customer information while maintaining the highest level of data accuracy/integrity.
top-skills

What skills help Lead Data Analysts find jobs?

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

What skills stand out on lead data analyst resumes?

Jason Imbrogno Ph.D.

Associate Professor, University of North Alabama

Optimization, programming, data analysis - honestly, if you're graduating from college today without at least a sprinkling of all three of those skills, you won't have much chance in the professional business world.

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

Pavel Chernyavskiy Ph.D.

Assistant Professor of Statistics, University of Wyoming

Statisticians with subject-matter expertise tend to be more in-demand, all else being equal. For example, quantitative biologists, statistical geneticists, bioinformaticians, industrial statisticians can all be thought of as "statisticians with subject-matter expertise," at least in my opinion. With that in mind, if an applicant can develop their knowledge of a particular area of application during their gap year, it should help them in the job market.

What type of skills will young lead data analysts need?

Missy GutkowskiMissy Gutkowski LinkedIn profile

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 soft skills should all lead data analysts possess?

M. Douglas Berg

Associate Professor, Sam Houston State University

The ability to communicate, both verbally and in writing, is essential to the business analyst.

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

M. Douglas Berg

Associate Professor, Sam Houston State University

An entry-level analyst should be able to do the following:

-Identify the data type
-Know which analytical techniques are appropriate for each data type
-Be capable of performing the appropriate analytical technique
-Be capable of communicating the outcome of the analytical procedure


A solid understanding of regression techniques, along with their limitations, is essential.

It almost goes without saying that a business analyst has good computer skills.



Beyond entry-level, with more experience, the analyst should be able to frame the research question(s) in a testable format.
Do you want to know more?
Read more about what experts have to say about lead data analyst

List of lead data analyst skills to add to your resume

Lead data analyst skills

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

  • Analytics
  • Python
  • Power Bi
  • Data Analysis
  • Visualization
  • SAS
  • Data Quality
  • Analyze Data
  • BI
  • ETL
  • Data Collection
  • Statistical Analysis
  • SQL Server
  • Data Analysts
  • Data Integrity
  • Architecture
  • PowerPoint
  • Java
  • Data Governance
  • Data Lake
  • Profiling
  • Extraction
  • VBA
  • Extract Data
  • Data Warehouse
  • Digital Marketing
  • Oracle Sql
  • Business Processes
  • Data Models
  • Data Issues
  • Cognos
  • Data Warehousing
  • Informatica
  • Teradata
  • Macro
  • CRM
  • Amazon Web Services
  • Metadata
  • Data Flow
  • R
  • Pivot Tables
  • SharePoint
  • GIS
  • Business Rules
  • QA
  • Client Facing
  • Financial Data
  • Regression

Updated January 8, 2025

Zippia Research Team
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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