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Internship Data Analyst Sql Excel Jobs (NOW HIRING)

Winaxis LLC

Data Analyst

Lewes, DE · On-site +1

Proficiency in data analysis tools such as SQL, Excel, Python, or R. * Experience with data visualization tools like Tableau, Power BI, or similar. * Strong analytical and problem-solving skills with ...

ConnectPrep

Data Analyst Internship

Boston, MA · Remote

SQL, Python data tools (Pandas, NumPy, or similar) * Building simple data pipelines or analysis ... Excel & analysis skills * You are comfortable doing serious work in Excel, including several of the ...

ConnectPrep

Data Analyst Internship

Boston, MA · On-site +1

SQL, Python data tools (Pandas, NumPy, or similar) * Building simple data pipelines or analysis ... Excel & analysis skills * You are comfortable doing serious work in Excel, including several of the ...

ConnectPrep

Data Analyst Internship

Boston, MA · On-site +1

SQL, Python data tools (Pandas, NumPy, or similar) * Building simple data pipelines or analysis ... Excel & analysis skills * You are comfortable doing serious work in Excel, including several of the ...

PURIS Corporation, LLC

Data Analyst

Spring, TX · On-site

$85K - $95K/yr

... internships, or projects). * DOMO experience is preferred but not required * Familiarity with data analysis tools such as Excel (pivot tables, Power Query, formulas). * Exposure to SQL or other query ...

Changeis

Data Analyst

Experience with tools like SQL, Excel, Power BI, or Tableau for querying, analyzing, and visualizing data. * Statistical amp; Analytical Skills: Familiarity with statistical methods and data modeling ...

tignovate

Data Analyst

Manhattan, NY

Proficient in data analysis tools such as SQL, Excel, and statistical software (e.g., R, Python). * Experience with data visualization tools (e.g., Tableau, Power BI) to create compelling visual ...

Asta CRS Inc.

Be Seen First

SQL Data Analyst

Aurora, IL · On-site

$28 - $30/hr

The SQL Data Analyst plays a crucial role in extracting, analyzing, and interpreting data to support business decision-making. This role involves writing complex SQL queries, managing databases, and ...

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How much do internship data analyst sql excel jobs pay per year?

As of Jun 13, 2026, the average yearly pay for internship data analyst sql excel 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 types of projects or tasks can I expect to work on as an Internship Data Analyst specializing in SQL and Excel?

As an Internship Data Analyst with a focus on SQL and Excel, you will typically assist with extracting, cleaning, and analyzing data from various sources to support business decisions. Your daily tasks may include writing SQL queries to retrieve data, creating and maintaining Excel reports, and visualizing data for presentations. You might also collaborate with senior analysts or business teams to identify trends or prepare ad hoc analyses. This hands-on experience gives you exposure to real-world data challenges and can help you develop both technical and communication skills in a professional setting.

What is the difference between Internship Data Analyst Sql Excel vs Junior Data Analyst?

AspectInternship Data Analyst Sql ExcelJunior Data Analyst
QualificationsEnrolled in or recent graduate of related degree, basic SQL and Excel skillsBachelor's degree in related field, proficiency in SQL and Excel
Work EnvironmentInternship setting, supervised, entry-level projectsFull-time position, more independent responsibilities
ResponsibilitiesAssisting with data collection, basic analysis, learning on the jobPerforming data analysis, reporting, and supporting decision-making

The main difference between Internship Data Analyst Sql Excel and Junior Data Analyst lies in experience level and responsibilities. Internships are typically temporary, supervised roles for students or recent graduates, focusing on learning and assisting. Junior Data Analysts are full-time employees with more independence and complex tasks, requiring a higher level of proficiency and experience.

What are the key skills and qualifications needed to thrive as an Internship Data Analyst with SQL and Excel, and why are they important?

To thrive as an Internship Data Analyst specializing in SQL and Excel, you need a solid understanding of data analysis, statistics, and database management, often supported by coursework in data science or related fields. Proficiency in SQL for querying databases and advanced Excel skills for data manipulation and visualization are essential technical tools. Attention to detail, problem-solving, and effective communication are standout soft skills for interpreting data and presenting insights. These skills ensure accurate data-driven decision-making and clear reporting, which are critical for supporting organizational goals in a fast-paced business environment.

What does an Internship Data Analyst specializing in SQL and Excel do?

An Internship Data Analyst with skills in SQL and Excel assists in collecting, processing, and analyzing data to help organizations make informed decisions. They use SQL to query and manage databases, extracting relevant data for analysis. Excel is used to organize, visualize, and interpret data through functions, formulas, and charts. Interns may also help prepare reports and presentations based on their findings. This role provides hands-on experience in data analysis, which is valuable for a future career in data science or analytics.
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Internship Data Analyst Sql Excel jobs near you
Infographic showing various Internship Data Analyst Sql Excel job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Business Intelligence Analyst / Data Analyst (SQL)

Business Intelligence Analyst / Data Analyst (SQL)

Waymo

San Diego, CA • On-site

Other

Posted 4 days ago

Job description

Waymo's Data Science team is an important part of our mission to develop safe and reliable autonomous driving technology. We use data analysis and leverage statistical expertise to evaluate and improve the Waymo Driver, focusing on areas like reliability, driving quality, and safety. Our work ensures that data-driven insights inform key aspects of Waymo's development process.  As a Business Intelligence Analyst, you will help build the data infrastructure behind reporting and analytics for some core pillars supported by the Waymo Data Science team.

You will:

  • As a Data Analyst, you will leverage advanced SQL and Business Intelligence tools to build state-of-the-art reporting infrastructure (data pipelines, dashboards) to ensure decision making within one of:
    • Waymo Driving Quality
    • Waymo Safety
    • Waymo Reliability
  • Write high quality data pipelines with clear definitions to ensure consistency of metrics across the company
  • Design, define, and govern key performance indicators (KPIs) and core metrics
  • Work with Data Science, Engineering, Operations, Product, and Regulatory teams to allow accurate reporting to several audiences
  • Prepare content and communicate to Waymo leadership
  • Run deep analyses into data trends observed to drive partner team goals

You have:

  • 4+ years of experience in a Data Analyst, Business Intelligence Analyst, or similar quantitative role within a tech-forward environment.
  • Advanced SQL proficiency - you are an expert at writing high-performance queries, including window functions, UDFs, and complex joins to manipulate large-scale datasets.
  • Data Engineering mindset - experience managing and querying extremely large datasets (BigQuery, Redshift, or similar) and building scalable data pipelines.

We prefer:

  • Data Visualization & Storytelling - a proven track record of building intuitive, "executive-ready" dashboards in modern BI tools (e.g., Tableau, Looker, or Data Studio).
  • Infrastructure Management - expertise in building and maintaining data infrastructure for large organizations, ensuring a clean separation between development and production environments.
  • Stakeholder Influence - the ability to translate complex data trends into actionable insights for Engineering, Product, and Leadership teams.
  • Proactive Problem Solving - demonstrates the initiative and foresight to identify business needs before they become critical bottlenecks.

Apply