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Entry Level Sql Tableau Jobs (NOW HIRING)

VSolvit

DATA ANALYST ENGINEER I

Norco, CA · On-site

$65K - $80K/yr

This entry-level role focuses on leveraging tools such as Power BI, Splunk, Tableau, and SharePoint ... Strong SQL and database query skills, with the ability to handle large datasets * Demonstrated ...

SynergisticIT

jr java developer/Data analyst

Berkeley, CA

$139K - $167K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python ... Data Analytics and Engineering -SQL, Power BI, Tableau, Snowflake, Databricks, Python ETL, and more ...

Rugiet

Marketing Analyst (Entry Level)

Austin, TX · On-site

... SQL (basic joins, aggregations, filters). • Familiarity with digital marketing concepts (paid ... Tableau, DOMO, or similar. • Solid Excel / Google Sheets skills. • Strong attention to detail ...

The LaSalle Group

Pricing Operations Analyst

Chicago, IL · On-site

$30 - $40/hr

Familiarity with data visualization tools (e.g., Tableau, Power BI) * Basic SQL knowledge is a plus ... entry-level positions to the C-suite. With units specializing in Accounting and Finance ...

Murata America

Associate Data Engineer

San Diego, CA

$121K - $146K/yr

The assigned tasks will be entry level to Moderate in Nature, requiring basic domain knowledge and ... Basic SQL skills (joins, updates, etc.) * Familiarity with Shell scripting and willingness to debug ...

Murata Americas

Associate Data Engineer

San Diego, CA · On-site

$121K - $146K/yr

The assigned tasks will be entry level to Moderate in Nature, requiring basic domain knowledge and ... Basic SQL skills (joins, updates, etc.) * Familiarity with Shell scripting and willingness to debug ...

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Entry Level Sql Tableau information

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$10

$56

$77

How much do entry level sql tableau jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for entry level sql tableau in the United States is $56.24, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $66.35 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level SQL Tableau Analyst, and why are they important?

To thrive as an Entry Level SQL Tableau Analyst, you need a solid understanding of SQL for data querying and basic data analysis, along with a bachelor's degree in a related field such as computer science, information systems, or statistics. Familiarity with Tableau for data visualization, as well as experience with database management systems and Excel, is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret data and present insights clearly to stakeholders. These skills are crucial for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

What are the typical challenges faced by entry-level professionals working with SQL and Tableau, and how can they overcome them?

Entry-level professionals often encounter challenges such as understanding complex databases, optimizing SQL queries for performance, and designing effective Tableau dashboards that communicate insights clearly. To overcome these obstacles, it's important to practice writing queries on real datasets, seek feedback from more experienced colleagues, and stay updated on best practices in data visualization. Collaborating closely with data analysts and business stakeholders also helps clarify requirements and ensures your work aligns with team goals.

What is the difference between Entry Level Sql Tableau vs Data Analyst?

AspectEntry Level Sql TableauData Analyst
Required SkillsBasic SQL, Tableau, data visualizationSQL, Tableau, Excel, data analysis
CertificationsOptional, beginner certificationsOptional, relevant certifications
Work EnvironmentEntry-level, support teams, data visualization tasksAnalytical roles across industries, reporting, insights
Industry UsageBusiness intelligence, data visualizationBusiness, finance, marketing, healthcare

Entry Level Sql Tableau roles focus on basic data visualization and reporting using SQL and Tableau, often requiring minimal experience. Data Analyst positions typically involve broader analytical tasks, including data cleaning, interpretation, and strategic insights, with similar skill requirements. Both roles are common in various industries and serve as entry points into data-driven careers.

What are Entry Level SQL Tableau jobs?

Entry Level SQL Tableau jobs are positions designed for individuals who are new to data analytics and business intelligence. These roles typically involve using SQL to query databases and Tableau to visualize and analyze data, helping organizations make data-driven decisions. Common tasks include creating dashboards, generating reports, and performing basic data analysis under supervision. Candidates usually need foundational knowledge of SQL, Tableau, and general data concepts, but extensive experience is not required. These positions offer a great starting point for a career in data analytics.
More about Entry Level Sql Tableau jobs
What are the most commonly searched types of Sql Tableau jobs? The most popular types of Sql Tableau jobs are:
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Entry Level Sql Tableau jobs near you
Infographic showing various Entry Level Sql Tableau job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 46% Full Time, 44% Part Time, 1% Temporary, and 7% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $116,980 per year, or $56.2 per hour.
Consultant, Data Analytics & AI (51467)

Consultant, Data Analytics & AI (51467)

Citrin Cooperman

Manhattan, NY • On-site, Remote

$60K - $95K/yr

Full-time

Posted 18 days ago

Job description

The Consultant, Data Analytics & AI supports the design and delivery of analytics and AI solutions that help clients make better use of their data. This is an entry-level consulting role suited for candidates with a strong academic foundation and early hands-on exposure to data tools. You will work alongside senior practitioners to contribute to client engagements, build your technical depth, and develop an understanding of how analytics creates business value.
Data Analytics & Solution Development
  • Assist in the design and development of data analytics solutions aligned with client business needs.
  • Support the build-out of ETL/ELT pipelines and data models using Microsoft Fabric and related tools.
  • Write and optimize SQL queries for data transformation, validation, and reporting.
  • Contribute to Power BI report and dashboard development, including data modeling and DAX.
  • Help ensure data accuracy and consistency across client environments.

Microsoft Fabric & Cloud Platforms
  • Develop familiarity with Microsoft Fabric and Power BI as core delivery platforms.
  • Support the configuration and testing of cloud data workflows under senior guidance.
  • Stay current on Microsoft Fabric innovations, AI Copilot features, and emerging data capabilities.

Client Engagement & Communication
  • Participate in client meetings and help track open items and action lists.
  • Assist in translating technical findings into clear documentation and presentation materials.
  • Build relationships with client contacts under the direction of project leads.

Project Delivery & Execution
  • Contribute to project workstreams with a focus on quality, timeliness, and attention to detail.
  • Assist with documentation, training materials, and knowledge transfer artifacts.
  • Proactively flag risks or blockers to project leads.
  • Collaborate with cross-functional teams in a professional services environment.

  • Bachelor's degree in Data Science, Computer Science, Business Analytics, Information Systems, or a related field.
  • 0 to 2 years of experience in data analytics, business intelligence, or a related technical role; internship or academic project experience is considered.
  • Working knowledge of SQL for data querying and manipulation.
  • Exposure to Python for data analysis is a plus.
  • Familiarity with Power BI, Tableau, or similar data visualization tools.
  • Basic understanding of cloud platforms, particularly Microsoft Azure or Microsoft Fabric, is preferred.
  • Strong analytical thinking and problem-solving skills.
  • Clear written and verbal communication with the ability to present ideas concisely.
  • Eagerness to learn in a fast-paced consulting environment with multiple concurrent workstreams.

Preferred Qualifications
  • Master's degree in Data Science, Business Analytics, Computer Science, or a related field is a plus.
  • Microsoft certifications such as PL-300 (Power BI Data Analyst), DP-600 (Fabric Analytics Engineer), DP-700 (Fabric Data Engineer), or DP-900 (Azure Data Fundamentals) are a plus, not a requirement.
  • Exposure to data governance concepts, ETL workflows, or AI-powered analytics through coursework or self-study.
  • Prior internship, co-op, or project experience in a consulting, analytics, or technology environment is a differentiator.

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