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Entry Level Data Analyst Sql Excel Jobs (NOW HIRING)

Write and optimize SQL queries for data extraction, aggregation, validation, and reporting purposes ... Advanced proficiency in Microsoft Excel, including Pivot Tables, Lookup Functions, Data Validation ...

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Altair Data Resources is seeking an entry-level Data Analyst who is looking for an opportunity to ... SQL. Data Analyst Job Duties Data analyst responsibilities include conducting analysis and ...

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

Strong SQL skills * Proficiency in Excel * Experience with BI tools * Exposure to financial or banking data * Strong analytical skills * Good communication skills Skills Banking Analytics, Financial ...

Data Analyst

Dallas, TX ยท On-site +1

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 ...

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 ...

Required Skills A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep ...

... Excel, SQL, or Power BI Perform data validation to ensure accuracy and consistency across reports Work closely with business teams to understand analytical needs and deliver data-driven solutions ...

SQL Data Analyst

Burlington, MA ยท On-site

$100K - $110K/yr

SQL Data Analyst Department: Finance Employment Type: Permanent Location: Burlington, Massachusetts ... Analytical. You excel at analyzing large datasets, identifying patterns and anomalies, and ...

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How much do entry level data analyst sql excel jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for entry level data analyst sql excel in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

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

AspectEntry Level Data Analyst Sql ExcelData Analyst
Required SkillsBasic SQL, Excel, data visualizationAdvanced SQL, Excel, data modeling, statistical analysis
Experience0-1 year, internship or coursework1+ years, project experience
Work EnvironmentEntry-level, team-based, entry-level roles in various industriesMid-level, specialized roles in finance, marketing, or tech

Entry Level Data Analyst Sql Excel roles focus on foundational skills like basic SQL and Excel for data cleaning and reporting, suitable for beginners. Data Analyst positions require more advanced skills, experience, and often involve complex analysis and data modeling. Both roles are common in many industries, but the Data Analyst role typically demands a higher skill level and experience.

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Entry-Level Data Analyst

Nova Infotek

Atlanta, GA โ€ข On-site

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

About the Company



We are supporting a large-scale enterprise analytics initiative for a leading Fortune 100 Supply Chain organization.


Employment Type: Full-time only, no Employer profile


Work Authorization: H4EAD, GC, GC-EAD, OPT/STEM OPT, CPT


About the Role



We are seeking 3 Entry-Level Data Analysts to join a growing analytics team responsible for supporting operational reporting, business intelligence, KPI measurement, and data-driven decision-making across multiple business functions. This role is ideal for candidates looking to build hands-on experience working with enterprise-scale datasets, SQL-based analysis, reporting automation, dashboard development, and stakeholder-facing analytics.



Responsibilities



  • Analyze structured business and operational datasets to identify trends, anomalies, performance drivers, and improvement opportunities.
  • Develop, maintain, and enhance recurring reports, dashboards, and KPI scorecards used by business and operational stakeholders.
  • Write and optimize SQL queries for data extraction, aggregation, validation, and reporting purposes.
  • Perform data profiling, data quality checks, and reconciliation activities to ensure reporting accuracy and consistency.
  • Support root-cause analysis and ad hoc analytical requests using enterprise data sources.
  • Assist in the design and maintenance of reporting datasets and business metrics.
  • Translate business requirements into analytical outputs and reporting solutions.
  • Collaborate with cross-functional teams including Operations, Finance, Product, Supply Chain, Engineering, and Business Intelligence teams.
  • Document data definitions, business rules, KPI calculations, and reporting methodologies.
  • Support ongoing reporting automation and analytics process improvement initiatives.



Qualifications



  • Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, Business Analytics, Economics, Engineering, Information Systems, or a related quantitative discipline.
  • 0-2 years of experience in Data Analytics, Business Intelligence, Reporting, or related analytical functions (internships, research projects, and academic experience will be considered).



Required Skills



  • Strong working knowledge of SQL, including Joins, Aggregations, Subqueries, Window Functions and Data Filtering and Transformation.
  • Advanced proficiency in Microsoft Excel, including Pivot Tables, Lookup Functions, Data Validation, and Analytical Modeling.
  • Strong understanding of data analysis methodologies and problem-solving techniques.
  • Ability to interpret complex datasets and communicate findings effectively to technical and non-technical stakeholders.
  • Strong attention to detail and commitment to data accuracy.



Preferred Skills



  • Experience with business intelligence and visualization tools such as Power BI, Tableau, or Looker.
  • Exposure to Python, Pandas, NumPy, or similar analytical tools.
  • Familiarity with relational databases, data warehousing concepts, and enterprise reporting environments.
  • Understanding of data governance, data quality management, and KPI development.
  • Exposure to cloud-based analytics environments such as AWS, Azure, or GCP.
  • Knowledge of operational analytics, supply chain analytics, manufacturing analytics, customer analytics, or business performance reporting.



Pay range and compensation package



Contract Duration: 18-24 Months (Extendable) Headcount: 3 Openings



Equal Opportunity Statement



We are committed to diversity and inclusivity.