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Python Analytics Jobs in Illinois (NOW HIRING)

Develop and maintain analytics code repository (Python and SQL) and data visualization programs (Qlik) * Deploy analytics workloads using Databricks Basic Qualifications: * At least 5 years of ...

Python Developer

Chicago, IL · On-site

$51.75 - $71.50/hr

... analytics • Design and build reusable solutions using industry standard development life cycles Qualifications : Required : • 5+ years of software engineering experience • 4+ years of Python ...

Python Software Engineer, Chicago, IL A proprietary trading firm with three locations in Chicago ... analysis, data modelling, monitoring, and automation. This position will be located in the Chicago ...

Analyze complex data and systems to provide efficient technical solutions. * Develop and maintain ... Python (including Pandas and boto3). * Cloud Platform: Development experience on AWS.

Python Developer

Chicago, IL

$51.75 - $71.25/hr

Python Developer Location : Chicago, IL Duration : 6 months + Python Developer with 5+ years ... You will be working with a team of developers and business analysts within FX Cash DB team You will ...

Python Developer

Chicago, IL · On-site

$51.75 - $71.50/hr

Job Summary : 1872 Consulting is seeking a Back-End Python Developer to develop cutting edge ... analytics and machine learning solutions • Work with analytics and Client teams to optimize ...

Senior Python Engineer

Chicago, IL · On-site

$125K - $168K/yr

Our client is seeking a Senior Python Engineer to join their team and help us build and maintain ... Strong problem-solving and analytical skills * Excellent communication and collaboration skills

Python Developer

Chicago, IL

$51.75 - $71.25/hr

Python Developer with 5+ years' experience Be able to demonstrate proficiency with excel and python ... You will be working with a team of developers and business analysts within FXCash DB team You will ...

Sr. Python Engineer

Chicago, IL · On-site

$125K - $168K/yr

Analyze complex data and systems to provide efficient technical solutions. * Develop and maintain ... Python (including Pandas and boto3). * Cloud Platform: Development experience on AWS.

Senior Tableau/Python Developer

Springfield, IL · On-site

$120K - $162K/yr

This is a delivery-focused role requiring close collaboration with architects, analysts, QA, PMs ... using Tableau and Python-based frameworks. • Build and optimize scalable data processing ...

Drive advanced analytics adoption to improve actuarial processes, optimize data workflows, identify ... Python development, with experience creating python-based applications utilizing clean code ...

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Python Analytics information

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

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

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

What does a Python analytics do?

A Python analytics professional uses Python programming to analyze data, develop models, and generate insights for decision-making. They often work with data analysis libraries like pandas and NumPy, and may create visualizations or automate data processes. Strong programming skills and understanding of statistical methods are essential for this role.

What is the salary of Python analytics?

The salary for a Python analytics role typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in data analysis, machine learning, and proficiency in tools like Pandas and NumPy tend to earn higher salaries.

Cyber Security Risk Analyst

Electrosoft

Belleville, IL

Full-time

Re-posted 4 days ago


Job description

Cyber Security Risk Analyst
 
Work Location:
Required onsite work at the client location at Scott Air Force Base, Illinois with situational telework only
 
Job description
Electrosoft Inc. is seeking a Cyber Security Risk Analyst (CSRA) who can help support the creation and visualization of metrics to support decisions and reduce threats across the Enterprise. The ideal candidate will provide expertise with the implementation of "Metrics that Matter" to assist the client in meeting the requirements to address Risk Management Framework (RMF) and Vulnerability Management to on-premises and Cloud networks.  Additionally, they will assist in integrating systems and data while securing the environment against evolving Cybersecurity threats and modernizing to achieve mission success. 
 
Duties & Responsibilities:
The CSRA will assist in design of innovative solutions and services to support our team and customer in improving our collection and visualization of metrics to support Vulnerability Management (VM), Risk Management Framework (RMF) and to address various Cyber Security Service Provider Inspection requirements to improve the overall risk assessment, better understand performance, improve situational awareness and facilitate the enhanced cyber security posture.  Ultimately providing for potential interoperability between current systems and ensuring timely decision making based on near real-time data availability through data analytics and product development.   Additionally, the CSRA shall utilize skills in DoD computing, networking/transmission, cybersecurity policy, and data analytics to:
  • Develop meaningful and actionable metrics, to include Key Performance Indicators (KPI) and Key Risk Indicators (KRI), as directed by the Government
  • Integrate metrics with cyber readiness framework
  • Analyze and define data requirements and specifications
  • Develop data model(s), integrations, and analytics to enhance cyber readiness assessment and to enable decision support
  • Conduct queries to analyze data sets
  • Conduct trend analysis to identify systemic security issues by analyzing vulnerability and configuration data
  • Analyze future eMASS changes, to include the altering or addition of new data elements and advise product stakeholders, propose solutions, and initiate preventative or corrective action as determined by the stakeholders.
  • Monitor health of daily ingests, advise stakeholders when ingest operations are degraded, and propose corrective actions during periods of ingest degradation or failure.
  • Perform Extract, Transform, and Load (ETL) Operations
  • Accomplish data ingestion, processing, distribution, and visualization
  • Develop and maintain analytics code repository (Python and SQL) and data visualization programs (Qlik)
  • Deploy analytics workloads using Databricks
Basic Qualifications:
  • At least 5 years of experience in cybersecurity, information technology, Software Development or related field.
  • Know Python, SQL, basic HTML/CSS
  • Familiarity with DoD Vulnerability Management (VM) and Risk Management Framework (RMF)
  • Knowledge of business intelligence visualization tools 
  • Excellent communication, collaboration, and problem-solving skills.
  • Ability to work independently and as part of a team.
  • Data analytics is preferred in Advana or Qlik, however a general familiarity with R or Python analytics (ex; spark, pandas)
  • Minimum of a Bachelor of Science (or higher) in one of the following: computer engineering, computer science, IT, cyber security, or a related field.
  • Relevant years of experience may be used in substitution for situations where the candidate does not have a Bachelor's degree in the required field.
  • Must have 8140 compliant certification (e.g. GCFA, GCIA, CySA+, GICSP, CFR )
  • Minimum of an active Secret Clearance.