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Analytical manager skills for your resume and career

Updated January 8, 2025
6 min read
Below we've compiled a list of the most critical analytical manager skills. We ranked the top skills for analytical managers based on the percentage of resumes they appeared on. For example, 8.6% of analytical manager resumes contained tableau as a skill. Continue reading to find out what skills an analytical manager needs to be successful in the workplace.

15 analytical manager skills for your resume and career

1. Tableau

Here's how analytical managers use tableau:
  • Deployed and implemented an internal analytic and reporting solution for Field Service using Tableau Analytic Server software.
  • Suggested more proficient and enterprise environment for Tableau sever.

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 analytical managers use python:
  • Pulled twitter data using Python through Twitter API and did analysis using SAS text mining tools.
  • Researched new machine learning and statistical modeling methods using SAS, R and Python packages.

3. Visualization

Here's how analytical managers use visualization:
  • Advised on incorporating data visualization concepts which simplified quality data presentations.
  • Use MS Excel to create dashboards, scorecards, data analysis, pivot tables, combo boxes and data visualization.

4. Data Analytics

Here's how analytical managers use data analytics:
  • Worked closely with internal customer / end-users to improve data analytics and reporting management.
  • Work to improve overall business processes and ultimately customer experience through data analytics.

5. Power Bi

Here's how analytical managers use power bi:
  • Used this database to build functional business intelligence tools in Power BI so the executives had instant access to business performance.
  • Develop ETL processes using SQL Server and Microsoft Power BI to extract data from extremely diverse and convoluted data sources.

6. Digital Marketing

Here's how analytical managers use digital marketing:
  • Manage digital marketing vendor tags using Tag Management System for collecting, segmenting, and distributing digital visitor data.
  • Support Digital marketing lead generation efforts by providing actionable insights of campaign landing and funnel conversion pages.

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7. Data Visualization

Data visualization is the process of presenting data in a more beautiful, elegant, and descriptive way in front of others using visual elements such as charts, graphs, maps, or any other type of visual presentation. This makes the data more natural for the human mind to comprehend and thus makes it easier to spot trends, patterns, and outliers within large data sets.

Here's how analytical managers use data visualization:
  • Lead cross territory teams to develop digital campaign performance metrics, methodology, campaign dashboards, and data visualizations.
  • Develop automated dashboards, scorecards, SSRS reports, and other data visualizations leading to action items.

8. Dashboards

The dashboard is a data management tool used for business intelligence. Dashboards, store, organize and display the scattered data in one system providing easy access to information whenever required. The data is displayed using advanced data visualization techniques, allowing users to understand the intricate patterns in their data. Dashboards make it easier to draw parallels between different data metrics and help in the identification of data trends.

Here's how analytical managers use dashboards:
  • Project manager collaborating with business intelligence team to develop and automate standardized reporting, dashboards and scorecards including interactive reporting.
  • Created management performance dashboards for senior leadership teams to improve financial and operational management and identify and understand emerging risks.

9. Data Analysis

Here's how analytical managers use data analysis:
  • Provide data analysis for acquisition and retention efforts and provide recommendations for marketing campaigns based on analysis.
  • Managed quantitative survey research and secondary research projects including data analysis, reporting and project budgets.

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 analytical managers use sas:
  • Acted as liaison between technology and business regarding implementation of business requirements for updating an existing SAS application.
  • Managed workload across team of SAS developers creating sustainable reporting solutions for business users.

11. 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 analytical managers use data management:
  • Collaborated with cross-functional stakeholders to perform the build-vs-buy analysis and to develop the point-of-view around market leading metadata management tools.
  • Designed end-to-end data management processes and defined the bidirectional data flow between InsideTrack and its client university partners.

12. Business Intelligence

Here's how analytical managers use business intelligence:
  • Integrated EBS based security roles/responsibilities with Oracle Business Intelligence (OBI) security structures to ensure seamless authorization/authentication between applications
  • Earned promotion to coordinate and implement global enterprise and business intelligence initiatives from planning through launch.

13. PowerPoint

Here's how analytical managers use powerpoint:
  • Build Excel reports and prepare PowerPoint presentations.
  • Used Software and Tools: Word, Excel, Access, PowerPoint, SPSS

14. Project Management

Here's how analytical managers use project management:
  • Project components included initial research, systems integration requirements, project management, resource allocation, project implementation, and training.
  • Project management for expansion of attributes to corporate EDW, from refinement of operational definitions to monthly delivery and reconciliation.

15. Google Analytics

Here's how analytical managers use google analytics:
  • Documented steps for Google Analytics technical requirements and configuration.
  • Configured Google Analytics and Webmaster tools
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List of analytical manager skills to add to your resume

Analytical manager skills

The most important skills for an analytical manager resume and required skills for an analytical manager to have include:

  • Tableau
  • Python
  • Visualization
  • Data Analytics
  • Power Bi
  • Digital Marketing
  • Data Visualization
  • Dashboards
  • Data Analysis
  • SAS
  • Data Management
  • Business Intelligence
  • PowerPoint
  • Project Management
  • Google Analytics
  • KPIs
  • Hadoop
  • Statistical Analysis
  • Business Decisions
  • B Testing
  • Client Facing
  • Data Quality
  • A/B
  • Customer Service
  • Java
  • Data Warehouse
  • CRM
  • SPSS
  • Web Analytics
  • Business Development
  • Adobe Analytics
  • Data Collection
  • Extraction
  • Predictive Models
  • Salesforce
  • Digital Analytics
  • ETL
  • Marketing Analytics
  • VBA
  • Business Processes
  • QA
  • SQL Server
  • ROI
  • Excellent Interpersonal
  • Performance Metrics
  • Data Warehousing
  • Market Research
  • Regression
  • HR

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.

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