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Data Analytics Python Jobs (NOW HIRING)

Develop Python/SQL scripts for data analysis, automation, and supporting analytical workflows * Query SQL databases and leverage GIS to support business analytics and reporting needs * Document ...

Develop Python/SQL scripts for data analysis, automation, and supporting analytical workflows * Query SQL databases and leverage GIS to support business analytics and reporting needs * Document ...

Data Analytics Analyst 3 Location: Birmingham, AL ( HYBRID) Contract- 3 Years Client- Alabama Power ... Develop and optimize queries using SQL, Python, DAX, and Power Query . * Maintain and improve data ...

Provide analytical support to the organization by leveraging data mining tools and analytical ... or Python) Strong quantitative skills Experience in applying advanced statistical or machine ...

Candidates must have a strong analytics and data validation background. Key Responsibilities * Perform data validation and quality checks using SQL and Python * Conduct exploratory data analysis (EDA ...

Data Analytics- II

Bridgewater, NJ · On-site

$50 - $52/hr

Python, Statistics EDUCATION/CERTIFICATIONS: Bachelors or Masters in Computer Science / Data Science / Business Analytics By providing your phone number, you consent to: (1) receive automated text ...

Data Analytics Specialist

Chicago, IL · On-site +1

$130K - $150K/yr

Day-to-day, you'll work across a modern data stack including Looker, Snowflake, Amplitude, Python, and R, applying experimentation frameworks and data storytelling techniques to turn complex analysis ...

Data Analytics Engineer

Brea, CA · On-site

$118K - $141K/yr

Job Role The Senior Data Analytics Engineer serves as a key technical and analytical partner within ... Integrate and automate business processes using SQL, Python, REST APIs, Power Automate, Power Apps ...

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Data Analytics Python information

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$26K

$113.8K

$185.5K

How much do data analytics python jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data analytics python in the United States is $113,761.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $139,000.00 per year, depending on experience, location, and employer.

What is a data analytics Python professional?

Data Analytics Python professionals are specialists who use the Python programming language to analyze, interpret, and visualize data. They apply statistical techniques, build predictive models, and generate insights to help organizations make data-driven decisions. Their work often involves cleaning and preparing data, using libraries like Pandas, NumPy, and Matplotlib, and communicating findings to stakeholders. These professionals are in high demand across industries due to the growing importance of data in business strategy.

What are the key skills and qualifications needed to thrive as a data analytics Python professional?

To thrive as a Data Analytics Python professional, you need a strong background in statistics, data interpretation, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Matplotlib, Jupyter Notebooks, and possibly certifications in data analytics or Python are highly valuable. Critical thinking, problem-solving ability, and effective communication help translate complex data findings into actionable business insights. These skills are essential for extracting meaningful information from data and driving data-informed decisions in organizations.

What are some typical challenges faced when working as a data analytics Python professional, and how can they be addressed?

Data Analytics Python professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and optimizing code for performance. Collaborating with cross-functional teams to understand business requirements and communicating insights clearly can also be demanding. To address these challenges, it's important to stay updated with best practices in data cleaning, leverage efficient libraries like pandas and NumPy, and engage in regular communication with stakeholders to align on project goals. Additionally, participating in code reviews and continuous learning can help maintain high standards and drive professional growth.

What is the difference between Data Analytics Python vs Data Analyst?

AspectData Analytics PythonData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone specific, often data analysis or business certifications
Work EnvironmentData science teams, tech companies, analytics departmentsBusiness units, finance, marketing, consulting firms
Tools & TechnologiesPython, Jupyter, Pandas, NumPy, visualization librariesExcel, SQL, Tableau, Power BI

Data Analytics Python focuses on using Python programming for data analysis, requiring coding skills and advanced statistical knowledge. In contrast, Data Analysts often work with tools like Excel and SQL for data interpretation and reporting. Both roles are essential in data-driven industries but differ in technical depth and toolsets.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.

What is the salary of data analytics Python?

The salary for a Data Analytics Python role typically ranges from $60,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in Python, data visualization, and machine learning tools tend to earn higher salaries.
More about Data Analytics Python jobs

What states have the most Data Analytics Python jobs?

States with the most job openings for Data Analytics Python jobs include:

What other helpful pages are available for Data Analytics Python?

Other pages related to Data Analytics Python:

Infographic showing various Data Analytics Python job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $113,761 per year, or $54.7 per hour.

Data Analyst, Senior (Pending Contract Award) SBG

Alexandria, VA • On-site

Document Storage Systems Inc
Health Care and Social Assistance • 201 - 500 employees

$91K - $115K/yr

Other

Re-posted 18 days ago


Job description

SBG Technology Solutions, Inc. (SBG), a DSS, Inc. company, offers Systems Engineering, Enterprise Modernization, Artificial Intelligence, Cyber Security, and IT Governance innovation to Federal and commercial clients nationwide.
**Contingent Upon Contract Award**
Overview
SBG seeks a seasoned Senior Data Analyst to serve as a technical lead, transforming complex, large-scale datasets into actionable business insights. The candidate must possess deep functional expertise on VHA systems, processes, and procedures. This role will lead data quality and analytics efforts in support of VA's EHRM Rapid Decision-Making program, using an array of data analytics tools and will also lean on NLP / ML capabilities. Expertise for this role will enable data-driven decisions for VA EHRM deployments, ServiceNow migration, and patient-safety reporting.
The Data Analyst, Senior will:
  • Obtain data through advanced computerized models; extrapolating data patterns through advanced algorithms; developing graphs and charts to display what is improving and what is getting worse, and leveraging Natural Language Processing / Machine Learning capabilities to advance modeling, coding and development for the Data Analytics and Insights workstream.
  • Obtain data through advanced computerized models; extrapolating data patterns through advanced algorithms; developing simple graphs and charts to display what is improving and what is getting worse.
  • Monitor and validate RMA, ServiceNow, and Power Apps data pipelines; proactively surface anomalies, perform root?cause analysis (SQL/R/Python), and drive remediation with CPMO/OCI owners.
  • Define and operationalize enterprise data?quality rules, thresholds, and KPI scorecards; codify repeatable QC playbooks and automate checks in Power Automate/SQL/Python; publish results in Purview and related governance tools.
  • Lead Tier 0 ? Tier 1 data stewardship and maintain end?to?end lineage/metadata in Purview/Collibra, ensuring accessibility, traceability, and VA/VHA compliance.
  • Certify Tableau/Power BI dashboards and reports against integrity and accessibility standards; coordinate remediation with analytics teams.
  • Embed data?quality gates and validation points in SAFe PI planning, sprint planning, and demos to ensure production?ready data.

Other Duties:
  • Design and deliver visualizations, analysis, and models.
  • Serves as the primary authority for data analysis and reporting across Agile integration, interoperability, and clinical informatics initiatives.
  • Responsible for designing and maintaining data pipelines, performing advanced analytics, and ensuring data integrity for clinical and operational decision-making.
  • Supports integration of multiple health IT systems, validates data migration fidelity, and provides actionable insights to program leadership.

Conditions of Employment:
  • Must be able to pass a Federal background check
  • Must be determined suitable for federal employment

Security and Privacy Duties and Responsibilities:
Individuals working for SBG Technology Solutions, Inc, a DSS, Inc. will be subject to security and privacy requirements as explained in HIPAA, FedRAMP, and NIST 800-53. Additionally, they are required to undergo specific FedRAMP training to ensure compliance with all associated controls and responsibilities in the day-to-day performance of their duties. Individuals working in departments that are considered to be in the high-risk category will be required to undergo advanced training based on their role and level of access. Individuals with access to modify data and the configuration baseline will require further training.
The preceding functions are examples of the work performed by employees assigned to this job classification. Management reserves the right to add, modify, change or rescind work assignments and make a reasonable accommodation as needed.
Required Skills:
  • Demonstrated experience supporting large, complex federal agencies; prior VA or DoW experience highly desirable.
  • Advanced expertise in SQL (query optimization, ETL processes), R (statistical modeling, predictive analytics), Python (data wrangling, automation), Tableau and Power BI (dashboard development, performance optimization).
  • Proven experience with data governance tools (e.g., Microsoft Purview, Collibra) and enterprise systems (e.g., ServiceNow, Power Apps).
  • Ability to engage with and present to Executive-level stakeholders, synthesizing complex data into actionable insights.
  • Strong background in data quality management and advanced analytics to support organizational decision-making.
  • In-depth knowledge of VHA Systems and files, to include, but not limited to: Corporate Data Warehouse (CDW); Veterans Health Information Systems and Technology Architecture (VistA); VHA Support Service Center (VSSC); VHA Reports and Measurement Portal (RAMP); Patient Treatment File (PTF) (MedSAS); Managerial Cost Accounting (MCA) System; Primary Care Management Module (PCMM); The National Patient Care Database (NPCD); Veterans Services Network Corporate Mini Master File (VETSNET File); etc.
  • Ability to lead workstreams, mentor junior analysts, and manage cross-functional collaboration.
  • Advanced proficiency with Microsoft Office applications (Excel, Word, PowerPoint) including automation and advanced analytics integration.
  • Public Trust clearance eligibility and U.S. work authorization required.

Preferred Skills:
  • Demonstrated expertise in Agile environments (e.g., supporting PI Planning, backlog analytics, velocity metrics); Data Visualization tools (e.g., Power BI, Tableau) and ETL processes, Clinical Systems (e.g., VA VistA/CPRS, Oracle Health/Cerner Millennium) and terminology mapping;
  • Strong background in SQL, Python/R, and data governance for HIPAA-compliant environments.

Education:
  • Required: Bachelor's degree in data science, Computer Science, Health Informatics, Statistics, or a related field.
  • Desired: Master's degree in health informatics, Data Analytics, or Public Health.

Certification(s), Licenses:
  • Required: Must be eligible for VA clearance.
  • Desired: Certified Health Data Analyst (CHDA)
  • Certified ScrumMaster (CSM)

Years of experience in a similar role:
  • Required:
  • 8+ years in analytics, data engineering, and visualization tools (e.g., Azure, Databricks)
  • 8+ years of professional experience in data analytics or health informatics. 5+ years working with healthcare data standards (HL7, FHIR, SNOMED, LOINC) and interoperability.
  • Desired: 10+ years of relevant professional experience in data analysis, data governance, and enterprise reporting (federal healthcare or equivalent large-scale environment preferred).

Physical Demands:
Standing
10% per day
Sitting
70% per day
Walking
20% per day
Stooping
10% per day
Lifting
If traveling, ability to lift up to 50 lbs. unassisted (luggage, laptop etc.)
Up to 10 lbs. unassisted, several times a day (laptop, office equipment, office supplies, etc.)
Computer Work
75% per day
Telephone Work
10% per day
Reading
15% per day
Other, please specify
Travel unassisted up to ___% per year, via common carrier and/or personal automobile.
SBGTS, Inc. is an Equal Opportunity Employer
If you need an accommodation seeking employment with SBGTS, Inc., please e-mail or call . Accommodations are made on a case-by-case basis.