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Data Analyst Data Science Jobs (NOW HIRING)

Data Scientist - Mid

Washington, DC · On-site

$110K - $122K/yr

... science languages, such as R and Python * Experience in managing and merging of disparate data sources, preferably through R, Python, or SQL * Experience with statistical analysis and data mining ...

SWBC is seeking a talented individual to work with Data Scientist, Data Engineers, and BI ... The Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ...

SWBC is seeking a talented individual to work with Data Scientist, Data Engineers, and BI ... The Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ...

SWBC is seeking a talented individual to work with Data Scientist, Data Engineers, and BI ... The Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ...

Soccer Data Analyst

Foxboro, MA · On-site

$58K - $68K/yr

SUMMARY The Soccer Data Analyst is responsible for applying advanced statistical methods, programming, and data science techniques to analyze soccer event, tracking, physical, and performance data.

Bachelor's degree in Statistics, Mathematics, Data Science, Data Analytics, Business Intelligence, Computer Science, Engineering, Information Systems, or a related field * 3 years of experience ...

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

In this role, you will provide computational, data science, and bioinformatics support for Office ... You will develop and maintain NIH databases, build analytical tools, support computational modeling ...

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Data Analyst Data Science information

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$34K

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$136K

How much do data analyst data science jobs pay per year?

As of Aug 26, 2026, the average yearly pay for data analyst data science 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 does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

More about Data Analyst Data Science jobs

What cities are hiring for Data Analyst Data Science jobs?

Cities with the most Data Analyst Data Science job openings:

What states have the most Data Analyst Data Science jobs?

States with the most job openings for Data Analyst Data Science jobs include:

Infographic showing various Data Analyst Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

Mechanicsburg, PA

Global Data Consultants
IT Services • 201 - 500 employees

Full-time

Posted 11 days ago


Job description

Overview

GDC IT Solutions is currently seeking a Data Analyst to work in a long-term contract or RTH capacity in Mechanicsburg, Pennsylvania, supporting the Administrative Office of Pennsylvania Courts (AOPC) IT – Enterprise Applications Design team. This position focuses on transforming complex court data into meaningful insights through data analysis, visualization, SQL, and business intelligence.

As a Data Analyst you will be responsible for analyzing complex court data, identifying trends and actionable insights, and developing dashboards, reports, and visualizations that support court operations and performance. You will collaborate with technical and non-technical stakeholders to translate business questions into effective analytics solutions while leveraging SQL, Tableau, statistical analysis, and data visualization best practices to communicate findings clearly and improve business intelligence capabilities.


Responsibilities
  • Design, develop, and maintain dashboards, reports, and data visualizations that provide meaningful insights into court operations and performance.
  • Explore and analyze data to identify trends, patterns, relationships, anomalies, and opportunities for improvement.
  • Apply statistical analysis and modeling techniques to evaluate business questions and support informed decision-making.
  • Write and optimize SQL queries to extract, combine, validate, and analyze data from multiple sources.
  • Collaborate with court administration, IT teams, data owners, and business stakeholders to gather requirements, investigate data issues, and translate business needs into analytics solutions.
  • Perform data profiling and validation to ensure the accuracy, consistency, and integrity of analytical and reporting data.
  • Evaluate existing dashboards and reporting solutions and recommend enhancements to usability, performance, visualization, and analytical value.
  • Identify opportunities to improve data collection, business processes, reporting standards, and analytics practices.
  • Apply data storytelling and visualization best practices to communicate complex information clearly to technical and non-technical audiences.
  • Support and advance business intelligence capabilities through best practices, reusable solutions, and visualization standards.
  • Guide stakeholders in effectively interpreting dashboards, metrics, and analytical findings.

Minimum Qualifications
  • Five or more years of experience in data analytics, business intelligence, data visualization, or a related field.
  • Demonstrated experience using Tableau to develop interactive dashboards and compelling visualizations.
  • Strong proficiency in SQL and experience working with relational databases and complex datasets.
  • Experience performing data analysis to identify trends, patterns, anomalies, and actionable insights.
  • Experience gathering requirements and translating business questions into analytical and reporting solutions.
  • Understanding of data visualization principles, dashboard design, and reporting best practices.
  • Working knowledge of data modeling and the relationships between source data, analytical datasets, and reporting solutions.
  • Ability to successfully complete a criminal background check conducted by the AOPC.
  • Experience with Tableau Server or Tableau Cloud, including publishing, permissions, data sources, extracts, and dashboard performance optimization.
  • Familiarity with data warehouses, data lakes, and modern analytics architectures.
  • Familiarity with Microsoft SQL Server and/or SAP ASE/IQ.
  • Experience working with large or complex datasets from multiple systems.
  • Experience supporting data governance, metric definitions, data quality, or reporting standards.
  • Tableau Certified Data Analyst or similar certification.
  • Experience with Python or R for data analysis, data preparation, or automation.
  • Experience with exploratory data analysis, statistical analysis, or advanced analytics.
  • Experience developing dashboards or analytics solutions for operational, performance, or executive reporting.
  • Strong analytical, problem-solving, written, verbal, and visual communication skills, with the ability to explain analytical and technical concepts to non-technical audiences.
  • Strong attention to detail and commitment to data accuracy and quality.
  • Ability to manage multiple priorities and work independently while collaborating effectively with stakeholders.

What We Do:

Working for GDC means you will be at the forefront of the technological world. We are a full-service staffing and Information Technology service company striving to make a difference in our communities by finding, developing, and deploying solutions.

Why Work for GDC?

  • Cutting Edge Technology and Innovation
  • Career Growth Opportunities
  • Employee-Centric Environment
  • Comprehensive Benefits Package
  • Holiday and Vacation

Equal Opportunity Workplace:

GDC is an equal opportunity employer and welcomes applicants from all diverse backgrounds to apply. Our goal as an organization is to empower our teams to achieve their personal best and foster their professional growth regardless of race, ancestry, religion, sex, gender, national origin, sexual orientation, age, citizenship, marital status, physical ability or disability, or veteran status.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and complete the required employment eligibility verification forms upon hire.

Visit our Career Center for the latest employment opportunities.

© Global Data Consultants, PA USA

Qualifications:
  • Five or more years of experience in data analytics, business intelligence, data visualization, or a related field.
  • Demonstrated experience using Tableau to develop interactive dashboards and compelling visualizations.
  • Strong proficiency in SQL and experience working with relational databases and complex datasets.
  • Experience performing data analysis to identify trends, patterns, anomalies, and actionable insights.
  • Experience gathering requirements and translating business questions into analytical and reporting solutions.
  • Understanding of data visualization principles, dashboard design, and reporting best practices.
  • Working knowledge of data modeling and the relationships between source data, analytical datasets, and reporting solutions.
  • Ability to successfully complete a criminal background check conducted by the AOPC.
Education:UNAVAILABLEEmployment Type: UNAVAILABLE