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Weekend Business Intelligence Tableau Jobs in Virginia

Guidehouse

Business Intelligence Analyst

Mclean, VA · On-site

$98K - $163K/yr

Create user-centered dashboards and visualizations using Tableau, Power BI, or Qlik (preferred for ... and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive ...

Guidehouse

Business Intelligence Analyst

Mclean, VA · On-site +1

$98K - $163K/yr

Create user-centered dashboards and visualizations using Tableau, Power BI, or Qlik (preferred for ... and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive ...

Everfox

Sales Business Intelligence Analyst

Herndon, VA · On-site

$98K - $143K/yr

The Sales Business Intelligence Analyst is responsible for delivering clear, accurate, and ... Experience with visualization/BI platforms such as Power BI, Tableau, Domo, or MaxIQ is highly ...

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Weekend Business Intelligence Tableau information

What is a Weekend Business Intelligence Tableau?

A Weekend Business Intelligence Tableau role involves using Tableau software to analyze and visualize business data specifically during weekends. Professionals in this position are responsible for creating dashboards, generating reports, and providing insights to help businesses make data-driven decisions. They often work with large datasets, collaborate with stakeholders, and ensure data accuracy. This role may be part-time or on a contract basis, catering to organizations that require analytics support outside of standard business hours.

What are the key skills and qualifications needed to thrive as a Weekend Business Intelligence Tableau specialist?

To thrive as a Weekend Business Intelligence Tableau Specialist, you need strong analytical skills, proficiency in data visualization, and experience with data modeling, typically supported by a degree in a related field such as computer science, statistics, or business. Expertise with Tableau, SQL, and other BI tools or certifications is commonly required to efficiently manage, analyze, and present complex data. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate data insights for stakeholders and collaborate across teams. These competencies ensure timely, actionable business insights that drive data-driven decisions, especially during critical weekend reporting cycles.

What are some typical challenges faced by Weekend Business Intelligence Tableau professionals, and how can they be managed?

Weekend Business Intelligence Tableau professionals often face the challenge of working with limited team support, as fewer colleagues may be available outside standard business hours. Additionally, they may need to handle urgent reporting requests or troubleshoot data issues independently. To succeed in this environment, strong problem-solving skills, effective time management, and thorough documentation are essential. Leveraging online resources and maintaining clear communication with weekday teams can also help ensure smooth handovers and continuity of work.

What is the difference between Weekend Business Intelligence Tableau vs Data Analyst?

AspectWeekend Business Intelligence TableauData Analyst
CertificationsTableau Desktop Specialist, BI certificationsSQL, Excel, BI tools certifications
Work EnvironmentPart-time, project-based, flexible hoursFull-time or part-time, office or remote
Industry UsageBusiness intelligence, data visualization projectsData interpretation, reporting, analysis

Weekend Business Intelligence Tableau focuses on creating visual dashboards and reports using Tableau during weekends or flexible hours, often on a project basis. Data Analysts perform broader data interpretation, analysis, and reporting tasks, typically in full-time roles. While both roles require analytical skills and familiarity with BI tools, Tableau specialists concentrate on visualization, whereas Data Analysts handle comprehensive data analysis across various platforms.

What are the most commonly searched types of Business Intelligence Tableau jobs in Virginia?

The most popular types of Business Intelligence Tableau jobs in Virginia are:

What cities in Virginia are hiring for Weekend Business Intelligence Tableau jobs?

Cities in Virginia with the most Weekend Business Intelligence Tableau job openings:

Weekend Business Intelligence Tableau jobs near you

Business Intelligence /Data Engineer

Technamo

Springfield, VA • On-site

Full-time

Re-posted 16 days ago

Job description

Company Description

TECHNAMO is a niche, dynamic IT services and solutions provider, VA SWaM certified, Microsoft Cloud Certified Partner, focused on providing IT Solutions & Services to government and commercial companies. Technamo is a Prime vendor for Maryland state agencies, Tier-I Contractor to provide IT Services to virginia govt. agencies (70+ entities) and contracted to provide services to state govt. New Jersey, Pennsylvania, Arkansas and Maryland govt. agencies.

Job Description

Business Intelligence / Data Engineer

Analyzing complex data structures in various data sources in heterogeneous  technology environment.

Analyze end customer automation requirements of systems integration, data sources, data structures, data types.

As a Business Intelligence / Data Engineer you will be responsible to create data-driven system based cloud enabled environment

Work with AI/ML services including integration of services and APIs to create new solutions in AWS/Azure cloud environment

You will be developing, implementing and maintaining the information data warehouse, and utilizing insight platforms, to enable decision support systems for the overall organization.

Design new modeling applications to support risk measurement, financial valuation, decision making, and business performance.

Design data visualizations, technical documentation, and non-technical presentation materials to communicate complex ideas and solutions to business partners.

Qualifications
  • Candidate must have at the minimum, a Bachelor or higher degree or its equivalent in Computer Science or any engineering in related fields
  • Minimum 3 years of experience in data engineering, data wearehouse, reports
  • Experience with Data modeling, SQL, ETL , Data Warehousing and Datalakes
  • Experience in data analysis and engineering, ETL and analytics, reports and experience in building real-time data products
  • Experience in writing SQL scripts, functions, stored procedures, expertise in an enterprise  RDBMS
  • Experience with enterprise-class Business Intelligence tools such as Microstrategy,  Tableau, Penthao, etc.
  • Experience with scripting language such as Python, Perl, R or Javascript
  • Strong knowledge of AWS products and services
Additional Information

All your information will be kept confidential according to EEO guidelines.

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