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Tableau Bi Data Analyst Jobs (NOW HIRING)

nLeague

Power BI- Data Analyst

Richmond, VA · On-site

Data Analyst 4 Location: 1220 Bank Street Richmond Virginia(Remote) Client: DBHDS Duration: 02 ... The resource may also be engaged in other Power BI work related to DBHDS as it arises if time in ...

Fisher's Technology

Power BI Data Analyst

Boise, ID · On-site

Learn more at Position Summary Fisher's is seeking a skilled and driven Power BI Data Analyst (level l or ll depending on experience) to join our growing Analytics team. In this role, you will be ...

Fisher's Technology

Power BI Data Analyst

Boise, ID

Learn more at Position Summary Fisher's is seeking a skilled and driven Power BI Data Analyst (level l or ll depending on experience) to join our growing Analytics team. In this role, you will be ...

TLA-LLC

Data Analyst

Mclean, VA · On-site

Hands-on experience with Business Intelligence (BI) and data visualization platforms (Tableau or ... Soft Skills • Analytical and Critical Thinking: The ability to logically approach complex ...

TLA-LLC

Data Analyst

Mclean, VA

Hands-on experience with Business Intelligence (BI) and data visualization platforms (Tableau or ... Soft Skills Analytical and Critical Thinking: The ability to logically approach complex problems ...

Credible

BI Data Analyst III

$90K - $118K/yr

Credible is looking for a data-driven, results-oriented Data Analyst to join the Business ... Experience leveraging visualization/reporting tools (Looker, Tableau, etc.) * Experience with A/B ...

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Tableau Bi Data Analyst information

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$34K

$82.6K

$136K

How much do tableau bi data analyst jobs pay per year?

As of Jun 6, 2026, the average yearly pay for tableau bi data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Tableau Bi Data Analyst vs Data Analyst?

AspectTableau Bi Data AnalystData Analyst
Required SkillsProficiency in Tableau, data visualization, SQL, and basic analyticsData manipulation, statistical analysis, Excel, SQL, and reporting
Work EnvironmentFocus on data visualization and dashboard creation within BI toolsBroader data analysis tasks across various tools and platforms
Industry UsageCommon in organizations emphasizing data visualization and reportingWidespread across industries for general data insights

The Tableau Bi Data Analyst specializes in creating visual dashboards and reports using Tableau, focusing on data visualization. In contrast, a Data Analyst performs broader data analysis tasks, including statistical analysis and data manipulation across various tools. While both roles require SQL and analytical skills, the Tableau Bi Data Analyst emphasizes visualization expertise, making it ideal for roles centered on reporting and dashboard development.

What is a Tableau BI Data Analyst?

A Tableau BI Data Analyst is a professional who uses Tableau, a leading business intelligence (BI) and data visualization tool, to analyze and interpret complex data sets. They are responsible for creating interactive dashboards and reports that help organizations make data-driven decisions. These analysts transform raw data into actionable insights by identifying trends, patterns, and correlations. They often collaborate with different business units to ensure that data solutions align with organizational goals. Proficiency in Tableau, data modeling, and strong analytical skills are essential for this role.

How does a Tableau BI Data Analyst typically collaborate with business stakeholders to deliver actionable insights?

As a Tableau BI Data Analyst, you will frequently partner with business stakeholders such as department managers, product owners, and executives to understand their data needs and business objectives. This collaboration often involves gathering requirements, translating them into meaningful dashboards and reports, and iteratively refining visualizations based on feedback. Effective communication and an ability to explain complex data trends in simple terms are essential, as you'll be expected to bridge the gap between raw data and business decision-making. Regular meetings, presentations, and workshops are common ways to ensure alignment and maximize the impact of your analyses.

What are the key skills and qualifications needed to thrive as a Tableau BI Data Analyst, and why are they important?

To thrive as a Tableau BI Data Analyst, you need strong analytical skills, a solid understanding of data modeling, and proficiency in SQL, typically backed by a degree in computer science, statistics, or a related field. Expertise in Tableau for data visualization, along with experience using BI tools and possibly Tableau certification, is highly valuable. Attention to detail, problem-solving abilities, and effective communication help analysts translate data insights for diverse stakeholders. These skills ensure that data-driven decisions are accurate, actionable, and clearly understood across the organization.
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Tableau Bi Data Analyst jobs near you
Infographic showing various Tableau Bi Data Analyst job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Business Intelligence (BI) / Data Analyst

Ridgeline Roofing & Restoration

Odenville, AL • On-site

Full-time

Posted 2 days ago

Job description

Description:

Job Summary:


Ridgeline Roofing is seeking a hands-on Business Intelligence (BI) Analyst to help turn data into clear insights that improve decision-making across the business. This role will provide data, reports and analysis for teams such as sales, marketing, operations, and finance. The ideal candidate is analytical, detail-oriented, comfortable working with business stakeholders, and eager to use modern tools, including AI, to work faster and surface better insights.

Requirements:

Key Responsibilities:

  • Data Analysis & Processing: Collect, clean, validate, and analyze data from multiple business systems to ensure reporting is accurate, consistent, and actionable.
  • Reporting & Dashboards: Build and maintain dashboards, recurring reports, and ad hoc analyses that help teams monitor performance and identify opportunities for improvement.
  • Operational KPIs: Analyze KPIs such as lead volume, appointment set rate, close rate, project backlog, cycle time, job profitability, revenue, margin, customer satisfaction, and marketing performance.
  • Data Infrastructure: Maintain and improve use of modern data warehouses and data pipelines.
  • Cross-Functional Collaboration: Partner with sales, marketing, operations, finance, and customer service teams to understand business questions, translate them into analytical work, and communicate findings clearly.
  • AI-Enabled Productivity: Use AI tools such as ChatGPT, Claude, Claude Code, and similar platforms to accelerate analysis, automate repetitive tasks, improve documentation, generate SQL or code drafts, and develop scalable reporting workflows while maintaining data accuracy and confidentiality.
  • Insight Communication: Summarize findings in a practical, business-friendly way and recommend next steps based on the data.

Qualifications:

  • Bachelor's degree in a quantitative, technical, business, or related field, or equivalent work experience.
  • 1-3+ years of experience in business intelligence, analytics, data analysis, operations analysis, finance analysis, or a related role.
  • Strong SQL skills and experience working with structured datasets.
  • Experience with BI and visualization tools such as Power BI, Tableau, Looker, or similar platforms.
  • Familiarity with cloud data warehouses such as Snowflake, BigQuery, Redshift, or similar.
  • Ability to clean, reconcile, and QA data from multiple systems.
  • Strong attention to detail and comfort working in spreadsheets and analytical tools.
  • Clear communication skills and ability to explain data-driven insights to non-technical stakeholders.
  • Experience using AI tools to support analytics, coding, workflow automation, or documentation is a plus.
  • Experience with service industry CRM platforms such as Service Titan, ProCore, and similar is a plus.