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Full Time Python Data Analysis Jobs in Illinois (NOW HIRING)

Director, Data Analysis

Lake Forest, IL ยท On-site

$92K - $133K/yr

About the role This role requires strong programming skills in SQL, Python, or comparable ... Deliver hands-on analytics and reporting by compiling and analyzing data from multiple sources ...

... Python or R). * Strong proficiency with statistical analysis and data analysis tools/techniques. * Experience building data pipelines, ontologies, and analytic applications in Palantir Foundry.

IL ยท On-site

... Python or R). * Strong proficiency with statistical analysis and data analysis tools/techniques. * Experience building data pipelines, ontologies, and analytic applications in Palantir Foundry.

... data collection, cleaning, and preprocessing tasks for best AI fit analysis. * Support the ... Research on how to create visuals and dashboards using tools like Python (Matplotlib, Seaborn ...

New

AI and BI Data Intern

Chicago, IL ยท On-site

$18 - $24/hr

This internship provides an opportunity to work on real-world data engineering and analytics ... Develop and run Python-based data processing workflows using notebooks . * Assist with building and ...

Data Engineer, Python & ETL

Chicago, IL ยท On-site

$118K - $141K/yr

Data Engineer, Python & ETL, Chicago, IL A proprietary trading firm is seeking a Data Engineer ... tasks, data quality analysis, data modelling, monitoring, and automation. Qualifications ...

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

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Full Time Python Data Analysis information

Can I be a data analyst with just Python?

A data analyst role typically requires knowledge of multiple tools and skills, including SQL, Excel, and data visualization software, in addition to Python. While Python is a valuable skill for data analysis, relying solely on it may limit your ability to perform all necessary tasks effectively. Developing a broader skill set can improve job prospects and performance in data analysis roles.

What are some common challenges faced by Full Time Python Data Analysts and how can they be addressed?

Full Time Python Data Analysts often encounter challenges such as handling large, messy datasets and ensuring data accuracy. Navigating complex data sources or integrating data from multiple platforms can also be demanding. To address these challenges, analysts typically leverage robust Python libraries like pandas and NumPy for efficient data wrangling, and collaborate closely with data engineering teams to clarify requirements and resolve data discrepancies. Regular code reviews and adopting best practices in data validation help maintain data integrity and streamline analysis workflows.

Is 40 too late for data science?

Full Time Python Data Analysis roles often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, SQL, and machine learning can help you enter the field regardless of age, and continuous education or certifications can improve your prospects.

What are the key skills and qualifications needed to thrive as a Full Time Python Data Analyst, and why are they important?

To thrive as a Full Time Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries (such as pandas and NumPy), data visualization tools (like Matplotlib or Seaborn), and experience with SQL databases are commonly required. Attention to detail, problem-solving abilities, and effective communication skills distinguish top performers in this role. These skills and qualities are crucial for extracting actionable insights from data and effectively collaborating with stakeholders to inform business decisions.

What is the difference between Full Time Python Data Analysis vs Data Scientist?

AspectFull Time Python Data AnalysisData Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related field; Python skillsBachelor's or higher in Data Science, Computer Science, or related; Python, R, ML certifications
Work EnvironmentCorporate, finance, marketing, or tech companies; data-focused teamsResearch labs, tech firms, finance, or healthcare; data modeling and research
Employer & Industry UsageCommon in industries needing data reporting and insightsUsed for predictive modeling, machine learning, and advanced analytics

Full Time Python Data Analysts focus on interpreting data and generating reports using Python, while Data Scientists develop models and algorithms for predictive analytics. Both roles require Python skills, but Data Scientists typically have more advanced statistical and machine learning expertise. The roles often overlap, but Data Scientists tend to work on more complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization.

What is a Full Time Python Data Analysis job?

A Full Time Python Data Analysis job involves using the Python programming language to collect, clean, analyze, and visualize data in order to help organizations make data-driven decisions. Professionals in this role work with large data sets, utilize libraries like pandas and NumPy, and often create reports or dashboards to communicate their findings. They may collaborate with other teams to identify trends, solve business problems, and provide actionable insights based on the data.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace them in the near future.
What are the most commonly searched types of Python Data Analysis jobs in Illinois? The most popular types of Python Data Analysis jobs in Illinois are:
Director, Data Analysis

Director, Data Analysis

Trustmark

Lake Forest, IL โ€ข On-site

$92K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

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


Job description

Trustmark's mission is to improve wellbeing - for everyone. It is a mission grounded in a belief in equality and born from our caring culture. It is a culture we can only realize by building trust. Trust established by ensuring associates feel respected, valued and heard. At Trustmark, you'll work collaboratively to transform lives and help people, communities and businesses thrive. Flourish in a culture of diversity and inclusion where appreciation, mutual respect and trust are constants, not just for our customers but for ourselves. At Trustmark, we have a commitment to welcoming people, no matter their background, identity or experience, to a workplace where they feel safe being their whole, authentic selves. A workplace made up of diverse, empowered individuals that allows ideas to thrive and enables us to bring the best to our colleagues, clients and communities.
About the role
This role requires strong programming skills in SQL, Python, or comparable analytical software. The ideal candidate has strong analytical and communication skills, the ability to multi-task and manage multiple projects with varying timelines in a fast-paced environment, and experience delivering results to stakeholders in Excel and BI tools such as Power BI or Tableau.
Responsible for using data to answer business questions, quantify business problems and opportunities, and enable data-driven decisions across the organization. Identifies and profiles trusted sources of data and leverages them to produce accurate, easy-to-digest analyses, dashboards, and reports.
Key Accountabilities
  • Deliver hands-on analytics and reporting by compiling and analyzing data from multiple sources using tools such as Databricks, SQL, Python, Excel, and Power BI.
  • Develop and deliver insights and solutions to that measurably improve business performance and/or customer experience.
  • Own intake and prioritization of analytics requests by partnering with stakeholders to clarify needs, define success metrics, translate requirements, and estimate effort.
  • Manage delivery by assigning work, tracking progress, communicating status, and shifting priorities as needed.
    Manage and develop junior staff through performance management, coaching, technical/code review, and establishing team standards.

Minimum Requirements
  • Bachelor's Degree with 8+ years of related experience OR High School Diploma or GED with 10+ years related experience.

The compensation range for this role is (based on the corporate location in Lake Forest, Illinois):
$92,359.68 - $133,409.90 per year
The final salary offer will be determined based on factors such as location, qualifications, experience, skill set, and other relevant factors. This position may also be eligible for bonus. We understand that compensation is an important factor when considering a new opportunity, and we strive to provide a competitive salary within the market.
Brand: Trustmark
In addition to compensation, we offer a comprehensive benefits package that includes: Health/dental/vision, life insurance, FSA and HSA, 401(k) plan, Employee Assistant Program, Back-up Care for Children, Adults and Elders and many health and wellness initiatives. We also offer a Wellness program that enables employees to participate in health initiatives to reduce their insurance premiums. For questions about compensation and benefits, please speak to the Recruiter if you decide to apply and are selected for an interview.
Trustmark is committed to leveraging the talent of a diverse workforce to create great opportunities for our people and our business. We are an equal opportunity employer, including disability and protected veteran status.