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Python Sql R Excel Data Jobs (NOW HIRING)

Data Scientist - Mid

Fort Belvoir, VA ยท On-site

$120K - $155K/yr

Demonstrated coding or scripting experience using tools such as Python, Java, SQL, R, or similar ... Proficiency with Microsoft Office tools, including Excel and PowerPoint. Desired Skills and ...

Company Description โ€ข Minimum 3 years of applied work experience in BI, Analytics, and/or Data ... SQL R, Python. Experience with predictive modeling, multi-regression, decision tress, and cluster ...

12-12-R-Solution Architect - 9150

Phoenix, AZ ยท On-site

$63.25 - $81.50/hr

Python, SQL, R Big Data: Hadoop, Spark, Kafka, Hive Cloud Platforms: Azure (ADF, Databricks, Azure OpenAI), AWS Data Warehousing: Redshift, SQL Server ETL/ELT Tools: SSIS Required Educational ...

Strong proficiency in Python, SQL, R, Databricks and data visualization tools (e.g., Tableau, Power BI). * Solid understanding of financial concepts (e.g., P&L, balance sheet, cash flow, variance ...

Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: * PhD in a quantitative field * Experience solving problems related to Autonomous Driving or Ride Hailing

Strong proficiency in Python, SQL, R, Databricks and data visualization tools (e.g., Tableau, Power BI). * Solid understanding of financial concepts (e.g., P&L, balance sheet, cash flow, variance ...

Technical Skills Strong modeling skills with proficiency in Excel and at least one programming language: Python, SQL, R, MATLAB, or C++. Familiarity with YES Energy, ISO portals, or market data ...

Technical Skills Strong modeling skills with proficiency in Excel and at least one programming language: Python, SQL, R, MATLAB, or C++. Familiarity with YES Energy, ISO portals, or market data ...

Data Engineer.

$117K - $140K/yr

Develop, optimize, and maintain scalable data pipelines and ETL processes to support ongoing data ... Python, R, SQL, Kafka * APIs.

Data Analyst

Alpharetta, GA ยท On-site +1

SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine learning, data warehousing, data modeling, data architecture, data management, statistics, business ...

GIS Analyst/Engineer

New York, NY ยท On-site +1

$80 - $120/hr

... Python, SQL, R, or Java). * Expertise in database design, data quality control, and spatial analytics. * Experience with visualization and BI tools (Power BI, Tableau, Excel). * Familiarity with ...

GIS Analyst/Engineer

New York, NY ยท Hybrid

$80 - $120/hr

... Python, SQL, R, or Java). * Expertise in database design, data quality control, and spatial analytics. * Experience with visualization and BI tools (Power BI, Tableau, Excel). * Familiarity with ...

Data Engineer

Dallas, TX

$113K - $136K/yr

Leverage automation software and programming languages (e.g., Python, SQL, R, Spark to help streamline digital solutions * Prioritize data governance and data management best practices * Work with ...

GIS Analyst/Engineer

New York, NY ยท Hybrid

$80 - $120/hr

... Python, SQL, R, or Java). * Expertise in database design, data quality control, and spatial analytics. * Experience with visualization and BI tools (Power BI, Tableau, Excel). * Familiarity with ...

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Python Sql R Excel Data information

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$21.5K

$87.6K

$127K

How much do python sql r excel data jobs pay per year?

As of Jun 9, 2026, the average yearly pay for python sql r excel data 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 are Python, SQL, R, and Excel data jobs?

Python, SQL, R, and Excel data jobs involve working with various tools and programming languages to collect, process, analyze, and visualize data. Professionals in these roles use Python and R for data analysis and statistical modeling, SQL for managing and querying databases, and Excel for organizing, cleaning, and presenting data. These skills are commonly required for data analyst, data scientist, and business intelligence positions. The work typically includes extracting insights from large datasets to support decision-making in organizations.

What are the key skills and qualifications needed to thrive as a Data Analyst specializing in Python, SQL, R, and Excel, and why are they important?

To excel as a Data Analyst with a focus on Python, SQL, R, and Excel, you need strong analytical abilities, proficiency in data manipulation, and a relevant degree in fields such as statistics, computer science, or mathematics. Expertise in using Python and R for data analysis, SQL for database querying, and advanced Excel functions is typically required, along with familiarity with data visualization tools. Attention to detail, critical thinking, and effective communication are important soft skills for interpreting data and presenting insights to stakeholders. These skills ensure accurate analysis, actionable reporting, and the ability to drive business decisions based on data.

How do professionals in Python, SQL, R, and Excel Data roles typically collaborate with other teams within an organization?

Professionals skilled in Python, SQL, R, and Excel often work closely with cross-functional teams such as business analysts, data engineers, and decision-makers. They are frequently responsible for transforming raw data into actionable insights, automating data workflows, and supporting reporting needs. Collaboration usually involves gathering requirements, sharing data visualizations, and ensuring data integrity across departments. Effective communication and teamwork are essential, as solutions must align with both technical standards and business objectives.

Data Scientist - Mid

Tulk LLC

Fort Belvoir, VA โ€ข On-site

$120K - $155K/yr

Full-time

Posted 24 days ago


Job description

Data Scientist - Mid

TULK is a leading boutique consulting firm providing technology and management consulting services to the U.S. Federal Government. Our expert team supports Defense, Intelligence Community, and National Security customers by helping them acquire, manage, analyze, and improve mission-focused technology, data, and business capabilities.

We are seeking a Data Scientist - Mid to support data analytics, analytic model development, data visualization, business process improvement, and mission-focused decision support. This role is ideal for a cleared data professional with experience using data science methods, scripting, visualization tools, and stakeholder engagement to turn complex data into useful insights.

About the Role

The Data Scientist - Mid will work with project requestors, stakeholders, subject matter experts, and project managers to clarify business needs, analyze data from multiple sources, develop visual products, support analytic tools, and help improve organizational performance. The role may include support for risk scoring, anomaly detection, metrics tracking, dashboard development, data quality analysis, and data-driven business process improvement.

Your Duties

  • Develop data analytics, dashboards, reports, charts, graphs, and visualizations using standard data science and data analysis practices.
  • Integrate, develop, maintain, and support analytic models, visualizations, and tools.
  • Collaborate with stakeholders, project requestors, subject matter experts, and project managers to refine requirements and clarify business objectives.
  • Use data analytics to form business insights, identify issues, draw logical conclusions, and recommend ways to improve organizational performance and efficiency.
  • Support risk scoring, anomaly detection, performance monitoring, and other data analysis implementations as required.
  • Capture, maintain, and analyze statistics, timelines, system performance data, and other operational metrics.
  • Transform quantitative and qualitative data into clear visual products, dashboards, reports, and briefing materials.
  • Support the preparation of reports, presentations, technical documents, and briefings for internal teams and leadership audiences.
  • Apply scripting, data manipulation, data cleaning, data transformation, and automation techniques to support analysis and visualization.
  • Work with data from multiple systems, databases, spreadsheets, SharePoint sites, and other information sources.
  • Support process improvement, policy support, business operations, and performance management activities through data analysis and reporting.
  • Work independently and collaboratively in a dynamic mission environment with changing priorities and short timelines.

Required Skills and Experience

  • Top Secret / SCI security clearance
  • U.S. Citizenship
  • Bachelorโ€™s degree in Data Science, Statistics, Business, Computer Science, Information Systems, Mathematics, Engineering, Geography, Geospatial Information Systems, or a related field, or equivalent relevant experience.
  • 6 or more years of relevant experience developing data analytics, visualizations, analytic models, dashboards, reports, or data-driven business products.
  • Demonstrated experience using data to form business insights, draw logical conclusions, and support performance-improving strategies.
  • Demonstrated experience collaborating with stakeholders to clarify project needs, business objectives, data requirements, and analytical questions.
  • Experience developing or supporting analytic models, visualizations, dashboards, metrics, or decision-support tools.
  • Experience creating visual content such as charts, graphs, dashboards, and briefing materials to represent data clearly.
  • Demonstrated coding or scripting experience using tools such as Python, Java, SQL, R, or similar languages to support data manipulation, analysis, automation, or visualization.
  • Demonstrated ability to use tools such as Tableau, SharePoint, Redmine, databases, spreadsheets, or other systems to manipulate data and build visualizations.
  • Strong organizational and communication skills, with the ability to work effectively in a team-oriented mission environment.
  • Proficiency with Microsoft Office tools, including Excel and PowerPoint.

Desired Skills and Experience

  • Experience supporting Intelligence Community, Department of Defense, GEOINT, or national security missions.
  • Experience supporting insider threat, risk scoring, anomaly detection, or similar security-focused analytics programs.
  • Experience with data quality analysis, data cleansing, data transformation, and data integration across multiple sources.
  • Experience with Tableau, Python, SQL, R, GIS tools, SharePoint, or other business intelligence and data visualization platforms.
  • Experience with geospatial data, GEOINT mission applications, or geospatial analysis tools such as ArcGIS, ArcView, RemoteView, ERDAS Imagine, or similar tools.
  • Experience supporting policy development, process improvement, business operations, or performance management initiatives.
  • Experience preparing leadership briefings, technical reports, dashboards, and visual summaries for senior stakeholders.

Work Environment

  • Work is performed in support of Federal, Defense, Intelligence Community, and national security missions.
  • Work may be performed in classified environments and requires compliance with applicable security, information handling, and customer site requirements.
  • Normal work hours are generally Monday through Friday during standard business hours, unless otherwise required by mission needs.