1

Summer Data Analyst Sql Excel Jobs (NOW HIRING)

Telephone / Skype * Strong Experience in Data Analyst, SQL, Power BI, Tabular Cube, Excel. * Excellent communication and presentation skills * Positive attitude towards work, problem solving ...

Review and analyze complex multi-faceted larger scale or longer-term Data Management challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.

The Data Analyst (SQL) will be primarily responsible for the following: * Integrate data from ... Must be proficient with Microsoft SQL Server and SQL Reporting Services, Microsoft Excel, Microsoft ...

Data Analyst Location: Looking for candidates in the Bay Area - San Francisco, Sacramento, Oakland ... Create clear visualizations and reports using tools like SQL, Excel, and data visualization ...

Financial Analyst / Data Analyst - Remote SQL, Excel, BI Tools U.S. Hours Position Type: Full-Time, Remote Working Hours: U.S. Client Business Hours About the Role We're hiring a Financial Analyst ...

next page

Showing results 1-20

Summer Data Analyst Sql Excel information

See salary details

$21.5K

$87.6K

$127K

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

As of Jul 16, 2026, the average yearly pay for summer data analyst sql excel in the United States is $87,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $100,000.00 per year, depending on experience, location, and employer.

What is the difference between Summer Data Analyst Sql Excel vs Summer Business Analyst?

AspectSummer Data Analyst Sql ExcelSummer Business Analyst
Required SkillsSQL, Excel, data analysis, basic statisticsExcel, data interpretation, business process understanding
Work EnvironmentData-focused, technical tasks, analytics teamsBusiness operations, cross-departmental collaboration
Industry UsageFinance, tech, consultingFinance, healthcare, retail

Summer Data Analyst Sql Excel roles focus on data extraction, analysis, and reporting using SQL and Excel, often within technical teams. Summer Business Analysts work on understanding business needs, process improvements, and strategic recommendations, frequently collaborating across departments. Both roles require strong Excel skills, but Data Analysts emphasize technical data handling, while Business Analysts focus on business insights and solutions.

What cities are hiring for Summer Data Analyst Sql Excel jobs? Cities with the most Summer Data Analyst Sql Excel job openings:
What are the most commonly searched types of Data Analyst Sql Excel jobs? The most popular types of Data Analyst Sql Excel jobs are:
What states have the most Summer Data Analyst Sql Excel jobs? States with the most job openings for Summer Data Analyst Sql Excel jobs include:

Data Analyst (1-3 Years) | SQL | Power BI | Excel

AaraTechnologies Inc

Dallas, TX • On-site

Other

Posted 2 days ago

New


Job description

Data Analyst | SQL | Power BI | Excel | Retail & E-Commerce (1-3 Years Experience)

Company: AaraTech Inc

About the Role

AaraTech Inc is seeking a motivated Data Analyst to support reporting, analytics, and business intelligence initiatives for Retail & E-Commerce operations. In this role, you will analyze sales, customer, and transactional data, develop interactive dashboards, generate KPI reports, and provide actionable insights to support business decisions. You will collaborate with cross-functional teams to improve reporting accuracy, identify trends, and optimize business performance. This opportunity is ideal for early-career professionals looking to build expertise in data analytics and business intelligence.


Key Responsibilities
  • Analyze retail, e-commerce, sales, and customer datasets to identify business trends.
  • Write SQL queries to extract, clean, validate, and analyze large datasets.
  • Build and maintain interactive dashboards using Power BI or Tableau.
  • Develop KPI reports and business performance dashboards.
  • Perform data validation, data quality checks, and data reconciliation.
  • Create recurring and ad-hoc reports for business stakeholders.
  • Analyze sales performance, revenue, customer behavior, and conversion metrics.
  • Assist with data cleaning, transformation, and documentation.
  • Collaborate with business teams to gather reporting requirements.
  • Present analytical findings using clear visualizations and reports.
  • Support reporting automation and process improvement initiatives.
  • Maintain data accuracy, consistency, and integrity across reporting systems.

Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Business Analytics, Statistics, Mathematics, or a related field.
  • 1-3 Years of experience in Data Analysis, Business Intelligence, or Reporting.
  • Strong SQL skills for querying and analyzing data.
  • Advanced proficiency in Microsoft Excel, including Pivot Tables, VLOOKUP/XLOOKUP, INDEX-MATCH, and formulas.
  • Experience developing dashboards using Power BI or Tableau.
  • Understanding of data validation, data quality, and reporting concepts.
  • Basic understanding of Business Intelligence (BI) principles.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Excellent communication and stakeholder collaboration skills.
  • Experience working with retail or e-commerce data is preferred.

Skills

Retail Analytics, E-Commerce Analytics, Data Analysis, Business Intelligence (BI), SQL, SQL Server, MySQL, Advanced Excel (Pivot Tables, VLOOKUP, XLOOKUP, INDEX-MATCH, Power Query, Formulas), Power BI, Tableau, Dashboard Development, Data Visualization, KPI Reporting, Business Reporting, Sales Data Analysis, Revenue Analysis, Customer Behavior Analysis, Conversion Rate Analysis, Transaction Data Analysis, Trend Analysis, Data Cleaning, Data Validation, Data Quality Management, Data Reconciliation, Reporting Automation, ETL Fundamentals, Data Modeling, Data Transformation, Ad-hoc Analysis, Business Metrics, Performance Reporting, Documentation, Stakeholder Communication, Problem Solving, Analytical Thinking, Python (Basic), Microsoft Office.