senior financial analyst Jobs in Chicago United States

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analytics support analyst Jobs in Chicago United States

analytics support analyst

data analyst intern advanced sql python data engineering focus

Machinery Marketing Inter

<p>Data Analyst Intern (Advanced SQL / Python / Data Engineering Focus)</p><p><b>Location:</b> On site (Chicago preferred)<br/><b>Duration:</b> 6 months<br/><b>Type:</b> Internship (High-Impact Technical Track)</p><p>Role Overview</p><p>We are seeking a highly technical <b>Data Analyst Intern</b> who can operate at the intersection of analytics and data engineering. This role involves working directly with production databases, optimizing queries at scale, contributing to data modeling decisions, and building automated analytical pipelines.</p><p>This is not a dashboard-only role &mdash; we are looking for someone who understands how data flows from source systems to analytical layers and can reason about performance, schema design, and statistical validity.</p><p>Core Responsibilities</p><p>1. Advanced SQL &amp; Query Optimization</p><ul><li>Write complex analytical queries using:</li><li>CTE chains</li><li>Window functions (ROW_NUMBER, RANK, LAG, LEAD)</li><li>Recursive queries</li><li>Complex aggregations</li><li>Correlated subqueries</li><li>Analyze and optimize slow-running queries using:</li><li>Execution plans</li><li>Indexing strategies</li><li>Partitioning logic</li><li>Query refactoring</li><li>Design and maintain:</li><li>Materialized views</li><li>Incremental aggregation tables</li><li>Work with large datasets (multi-million row tables)</li><li>Contribute to schema design discussions</li></ul><p>Expected databases:</p><ul><li>PostgreSQL / MySQL / SQL Server</li><li>Familiarity with columnar systems (Redshift / BigQuery / Snowflake) is a plus</li></ul><p>2. Data Modeling &amp; Warehousing</p><ul><li>Understand and apply:</li><li>Star schema</li><li>Snowflake schema</li><li>Fact vs Dimension tables</li><li>Slowly Changing Dimensions (SCD)</li><li>Help design data marts optimized for analytics use cases</li><li>Define and document KPI logic and metric definitions</li><li>Ensure data consistency across reporting layers</li></ul><p>3. Python &amp; Data Pipelines</p><ul><li>Build scalable data processing scripts using:</li><li>Pandas</li><li>NumPy</li><li>SQLAlchemy</li><li>PyArrow (optional)</li><li>Design automated reporting pipelines</li><li>Implement ETL/ELT workflows</li><li>Perform data validation checks and anomaly detection</li><li>Work with:</li><li>JSON APIs</li><li>Web scraping (if applicable)</li><li>Streaming or batch ingestion processes</li><li>Use logging and exception handling for production-ready scripts</li></ul><p>4. Statistical &amp; Experimental Analysis</p><ul><li>Design and analyze A/B tests:</li><li>Power analysis</li><li>Statistical significance testing</li><li>Confidence intervals</li><li>Apply regression models for:</li><li>Trend forecasting</li><li>Cohort analysis</li><li>Retention modeling</li><li>Evaluate metric bias and confounding variables</li><li>Clearly communicate limitations of statistical conclusions</li></ul><p>5. Dev &amp; Infrastructure Exposure</p><ul><li>Use Git for version control</li><li>Write modular, reusable code</li><li>Document pipelines and data logic</li><li>(Preferred) Exposure to:</li><li>Docker</li><li>Airflow</li><li>dbt</li><li>Cloud environments (AWS/GCP/Azure)</li><li>CI/CD concepts</li></ul><p>Required Qualifications</p><ul><li>Strong SQL proficiency (must understand query execution and optimization)</li><li>Advanced Python for data analysis</li><li>Deep understanding of relational database design</li><li>Strong grasp of statistics and hypothesis testing</li><li>Ability to reason about data integrity and system-level data flow</li><li>Comfortable working with messy, incomplete, real-world data</li></ul><p>Preferred Qualifications</p><ul><li>Experience building ETL pipelines</li><li>Knowledge of indexing strategies and database internals</li><li>Experience with analytics engineering tools (dbt)</li><li>Exposure to distributed systems or big data frameworks</li><li>Experience handling datasets &gt;10M rows</li></ul><p>Compensation</p><ul><li>Paid internship (competitive hourly rate)</li><li>High ownership and impact</li><li>Mentorship from senior analytics / engineering leadership</li><li>Potential conversion to full-time role</li></ul><p>Pay: From $20.00 per hour</p><p>Work Location: In person</p>

Data Analyst Intern (Advanced SQL / Python / Data Engineering Focus)

Realign

<div>Chicago, Illinois 60018 Posted March 3rd, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Contract</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Role: Trading Support Analyst - Banking Markets</b></div><div><b>
Location: Chicago, IL (trading floor a minimum of four days per week)</b></div><div><b>
Contract</b></div><div><b>
F2F Interview</b></div><div></div><div><br>
We are seeking a Trading Support Analyst to support brokerage trading applications in a fast-paced Banking Markets environment.</div><div>
Core responsibilities include back end system analysis on top of front office trading support and analysis.</div><div>
This role partners with a global production support team to provide day-to-day operational support for mission-critical trading platforms.</div><div>
Role also includes some development work following DevOps model.</div><div></div><div><b><br>
Key Responsibilities:</b></div><div></div><div><br>
Provide production support for brokerage trading applications in a high-pressure trading environment</div><div>
Analyze, troubleshoot, and resolve production incidents, escalating as required</div><div>
Partner with business users to resolve issues in compliance with IT and business control standards</div><div>
Drive root-cause analysis and continuous improvement initiatives</div><div>
Produce operational metrics, audit support, and application status reporting</div><div>
Maintain disaster recovery documentation and participate in DR exercises</div><div>
Collaborate with technology, business, compliance, audit, and vendor teams</div><div>
Participate in on-call rotations, including evenings and weekends, to manage high-severity incidents end to end</div><div></div><div><b><br>
Required Qualifications:</b></div><div></div><div><br>
5+ years of experience in financial services or capital markets</div><div>
2-3 years of experience with Azure Platform, CI/CD pipelines, GitHub/Jenkins etc.</div><div>
Advanced SQL expertise (Oracle, MS SQL, or Sybase)</div><div>
Strong scripting and automation skills (Python, Perl, PowerShell)</div><div>
Working knowledge of infrastructure components.</div><p>
Strong communication skills and ability to operate independently in a trading environment</p><p></p>
<p>Required Skills</p>
<p>DATA ANALYST</p></div>

Trading Support Analyst / Banking Markets-2

Union Tank Car Company (UTLX)

<div>UTLX<p></p><p>
As a part of the global industrial organization Marmon Holdings&mdash;which is backed by Berkshire Hathaway&mdash;you&rsquo;ll be doing things that matter, leading at every level, and winning a better way. We&rsquo;re committed to making a positive impact on the world, providing you with diverse learning and working opportunities, and fostering a culture where everyone&rsquo;s empowered to be their best.</p><p></p>
WHO WE ARE:<br>
<br>
Marmon Holdings, Inc., part of Berkshire Hathaway Inc., is one of the world&rsquo;s most innovative and impactful industrial organizations. Marmon comprises more than 100 manufacturing and service businesses serving diverse industries and markets across the globe. With 23,000+ team members, 400+ facilities in 20+ countries, and $10 billion+ in annual revenue, Marmon may be the biggest company you&rsquo;ve never heard of. Until now!<p></p><p><b>
POSITION SUMMARY:</b></p><p></p><p>
The Data Analyst is responsible for designing and developing reports, dashboards, and analytical tools to support business decision-making and identify opportunities for process improvement. This role involves working with large data sets to extract insights, monitor key performance indicators, and supporting data-driven strategies across multiple departments.</p><p>
The position requires proficiency in data querying and scripting languages such as SQL and Python, as well as experience with Microsoft reporting tools, including Power BI, Power Apps, and Power Automate. Familiarity with cloud-based data platforms, particularly Microsoft Azure, and services such as Synapse Analytics, Data Factory, or Fabric, is considered ideal.</p><p></p><p><b>
Primary responsibilities and/or essential functions include, but are not limited to:</b></p><ul><li>
Data Analysis &amp; Reporting: Analyze supply chain data related to procurement, inventory, logistics, and demand planning to identify trends, variances, and opportunities for improvement.</li><li>
Dashboard &amp; Tool Development: Build and maintain interactive dashboards and automated reports using tools such as Power BI, Power Apps, and Power Automate to support real-time decision-making.</li><li>
Data Integration, Management, &amp; Structuring: Work with structured and unstructured data from multiple sources, ensuring data quality and consistency. Leverage SQL and Python for data extraction, transformation, and analysis.</li><li>
Process Improvement Support: Identify inefficiencies in supply chain processes and provide data-driven recommendations to enhance operational performance at the repair shops and to reduce costs.</li><li>
Collaboration &amp; Communication: Partner with supply chain, procurement, finance, operations, scheduling, pre-processing and IT teams to understand business needs and translate them into analytical solutions.</li><li>
Cloud &amp; Platform Utilization: Utilize cloud-based data platforms such as Azure Synapse, Data Factory, or Fabric for data pipeline development, storage, and advanced analytics.</li><li>
KPI Monitoring: Track and report on key business performance metrics. Work with IT to establish data health checks for key data tables to ensure accuracy.</li><li>
Data Interpretation &amp; Communication: Ability to analyze complex reports and effectively communicate findings to stakeholders at all levels of the organization, including technical teams, operational teams, and executive leadership. Must be able to translate data insights into clear, actionable recommendations tailored to diverse audiences.</li></ul><p></p><p><b>
SKILLS/SPECIFICATIONS:</b></p><ul><li>
Ability to analyze large datasets to identify trends, patterns, and insights</li><li>
Strong problem-solving and critical thinking skills</li><li>
Proficient in SQL and Python for querying databases</li><li>
Understanding of rail industry and repair shop operations preferred</li><li>
Strong collaboration skills to work with cross-functional teams</li><li>
Expertise in data visualization development using Power BI and Excel</li><li>
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.</li><li>
Understanding data modeling, ETL processes, and data warehousing</li><li>
Detail oriented with excellent organization and time management skills.</li><li>
Proven ability to successfully manage multiple projects and tasks</li></ul><p></p><p><b>
EDUCATION/EXPERIENCE/QUALIFICATIONS:</b></p><ul><li>
Bachelor&rsquo;s degree in Data Analytics, Business Analytics, Statistics, Computer Science, or a related field is required.</li><li>
Minimum of 2 years of professional experience or similar internship experience in data analytics or reporting-related functions.</li><li>
Experience using BI tools for data visualization and reporting.</li></ul><p></p><p>
Pay Range:</p>
69,570.00 - 85,030.00<p></p><p>
We offer a comprehensive benefits package that may include medical, dental, vision, 401k matching, and more!</p><p></p><p>
Following receipt of a conditional offer of employment, candidates will be required to complete additional job-related screening processes as permitted or required by applicable law.</p><p></p><p>
We are an equal opportunity employer, and all applicants will be considered for employment without attention to their membership in any protected class. If you require any reasonable accommodation to complete your application or any part of the recruiting process, please email your request to careers@marmon.com, and please be sure to include the title and the location of the position for which you are applying.</p></div>

Data Analyst

Selby Jennings

<div>
 <p>
  Key Responsibilities
 </p>
 <ul>
  <li>
   Design, develop, and support our Big Data platforms, including Kafka, Hadoop, Dremio, and related technologies.
  </li>
  <li>
   Build, deploy, and oversee robust data processing pipelines using Java, Python, Spark, and Flink.
  </li>
  <li>
   Collaborate with development teams on data modeling, ingestion approaches, and capacity planning.
  </li>
  <li>
   Work closely with users to maintain data accuracy, consistency, and availability across systems.
  </li>
  <li>
   Act as a Big Data subject-matter expert, providing guidance on technical questions and best practices.
  </li>
 </ul>
 <p>
  Required Skills &amp; Experience
 </p>
 <ul>
  <li>
   5+ years of experience in a mature data engineering environment.
  </li>
  <li>
   3+ years of hands‑on experience developing Kafka streaming applications or managing Kafka clusters.
  </li>
  <li>
   2+ years building applications or pipelines on Big Data architectures (S3, HDFS, Databricks, Iceberg, etc.).
  </li>
  <li>
   Proficiency with Apache Spark, Apache Flink, or comparable data processing tools.
  </li>
  <li>
   Strong programming capabilities in Java, Python, and SQL.
  </li>
  <li>
   Experience with widely used Python-based data science libraries.
  </li>
  <li>
   Practical knowledge of Kubernetes and Docker.
  </li>
  <li>
   Familiarity with monitoring tools such as Prometheus/Grafana, AlertManager, Alerta, and OpsGenie.
  </li>
  <li>
   Strong background in statistical analysis.
  </li>
  <li>
   Demonstrated ability to troubleshoot and perform root‑cause analysis.
  </li>
  <li>
   Experience writing Unix scripts (bash, Python, etc.).
  </li>
 </ul>
</div>


Senior Data Engineer

Tiger Analytics

<div><p>Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.</p><p>
If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.
</p><p>We are looking for a results-driven Senior Analytics Consultant with a strong background in healthcare payer data and technical expertise in SQL, Python. In this role, you&rsquo;ll work closely with stakeholders to uncover insights from complex datasets, develop impactful data solutions, and support strategic decision-making across healthcare payer organizations.</p><p></p><p><b>
Responsibilities</b></p><ul><li>
Extract, transform, and analyse complex datasets using SQL and Python.</li><li>
Design and implement analytical models and methodologies to solve critical business problems.</li><li>
Collaborate with stakeholders to translate unstructured business needs into well-defined analytical requirements.</li><li>
Present analytical findings and actionable insights through compelling reports and presentations.</li><li>
Develop data-driven strategies tailored to the unique challenges of healthcare payer organizations.</li><li>
Maintain a strong understanding of industry trends, regulatory changes, and emerging technologies in healthcare analytics.</li><li>
Engage with cross-functional teams to align technical solutions with client goals.</li><li>
Partner with consulting teams to drive adoption of analytics across business processes and technology platforms.</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
4 - 8 years of hands-on experience with SQL for querying and data manipulation.</li><li>
Proficient in Python for data analysis and model development.</li><li>
Demonstrated expertise in the Healthcare Payer industry is mandatory.</li><li>
Excellent communication and presentation abilities to convey technical insights to non-technical stakeholders.</li><li>
Ability to work collaboratively with clients to define goals, requirements, and success metrics.</li>
Bachelor&rsquo;s degree in a technology-related field.<br>
<li>
</li></ul><br>
<br>
<b>Benefits</b><p><br>
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.</p><p></p><p><b><i>
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.</i></b></p></div>

Senior Analytics Consultant - Healthcare Payer

CapTech Consulting

<div><b>Company Description</b><p><br>
CapTech is an award-winning consulting firm that collaborates with clients to achieve what&rsquo;s possible through the power of technology. At CapTech, we&rsquo;re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.</p><br>
<div></div>
<b>
Job Description</b><p><br>
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.</p><p><b><i>
Specific responsibilities for the Lead Machine Learning Engineer position include:
</i></b></p><ul><li>Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs</li><li>
Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs.</li><li>
Deconstructing client needs into data-driven processes/models and analytical measures.</li><li>
Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).</li><li>
Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).</li><li>
Productionizing ML systems with a focus on optimization and scalability to satisfy clients&rsquo; requirements.</li><li>
Growing CapTech&rsquo;s Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.</li></ul><br>
<div></div>
<b>
Qualifications</b><br>
<ul><li>
7+ years of experience delivering data engineering and machine learning solutions on cloud platforms</li><li>
Bachelor's degree or equivalent combination of education and experience.</li><li>
Experience providing technical leadership and mentoring other engineers in data engineering space</li><li>
Hands-on experience manipulating and analyzing large (multi-billion record) data sets.</li><li>
Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.</li><li>
Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.</li><li>
Proficiency with containerization (e.g., Docker) and microservices.</li><li>
Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS</li><li>
Comfort and proficiency in framing data-driven problems from cross-industry business requirements.</li><li>
Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)</li><li>
Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).</li><li>
Knowledge of DevOps and automation best practices.</li><li>
Knowledge of statistics and statistical modeling methods.</li><li>
Knowledge of model management and model versioning best practices.</li><li>
Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting</li><li>
Experience with prompt engineering, MCP and RAG, and agentic AI architectures</li><li>
Strong understanding of conversational UX and prompt evaluation metrics</li><li>
Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)</li><li>
Experience with multi-agent orchestration</li></ul><br>
<div></div>
<b>
Additional Information</b><p><br>
We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we&rsquo;ve launched extended benefits to help meet our employees&rsquo; needs.</p><ul><li>
Learning &amp; Development &ndash; Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths</li><li>
Modern Health &ndash;A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life&rsquo;s ups and downs</li><li>
Carrot Fertility &ndash;Inclusive fertility and family-forming coverage for all paths to parenthood &ndash; including adoption, surrogacy, fertility treatments, pregnancy, and more &ndash; and opportunities for employer-sponsored funds to help pay for care</li><li>
Fringe &ndash;A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them &ndash; ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more</li><li>
Employee Resource Groups &ndash; Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations</li><li>
Philanthropic Partnerships &ndash; Opportunities to engage in partnerships and pro-bono projects that support our communities.</li><li>
401(k) Matching &ndash; Generous matching and no vesting period to help you continue to build financial wellness</li></ul><p>
CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness &mdash; each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.</p><p>
CapTech supports Equal Pay for all. In addition, in the State of Illinois we are committed to Equal Pay for ALL in accordance with the Illinois Equal Pay Act. The base pay range for this role is: $150,000 - $200,000.</p><p>
At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.</p></div><p></p>

Lead Machine Learning / Data Science Engineer

University of Illinois

<div><div><div><div><p><b>Undergraduate Affairs Data Analyst - ORSS</b></p><p></p><p><b><br>
Hiring Department</b>: Office for Research on Student Success</p>
<p><b>
Location</b>: Chicago, IL USA</p>
<p><b>
Requisition ID</b>: 1039326</p><p><b>
Posting Close Date</b>: March 27, 2026</p><p><b>
Salary: </b>The budgeted salary range for the position is $60,000-$75,000. Salary is competitive and commensurate with qualifications and experience, while also considering internal equity.</p><p></p><p><b><br>
About the University of Illinois Chicago</b></p><p>
UIC is among the nation&rsquo;s preeminent urban public research universities, a Carnegie RU/VH research institution, and the largest university in Chicago. UIC serves over 34,000 students, comprising one of the most diverse student bodies in the nation and is designated as a Minority Serving Institution (MSI), an Asian American and Native American Pacific Islander Serving Institution (AANAPSI) and a Hispanic Serving Institution (HSI). Through its 16 colleges, UIC produces nationally and internationally recognized multidisciplinary academic programs in concert with civic, corporate and community partners worldwide, including a full complement of health sciences colleges. By emphasizing cutting-edge and transformational research along with a commitment to the success of all students, UIC embodies the dynamic, vibrant and engaged urban university. Recent &ldquo;Best Colleges&rdquo; rankings published by U.S. News &amp; World Report, found UIC climbed up in its rankings among top public schools in the nation and among all national universities. UIC has over 300,000 alumni, and is one of the largest employers in the city of Chicago.</p><p>
This position is intended to be eligible for benefits. This includes Health, Dental, Vision, Life Insurance, a Retirement Plan, Paid time Off, and Tuition waivers for employees and dependents.</p><p><b>
Position Summary</b><br>
The Undergraduate Affairs Data Analyst performs research and creates data visualizations in the areas of undergraduate student success, program assessment and effectiveness, and strategic planning. This position develops and conducts research, and analyzes data for decision making and policy implementation in areas including (but not limited to) undergraduate student retention and graduation, student goal attainment, program assessment and evaluation, access and equity, and functional benchmarking specific to higher education.<br>
<br>
<b>Duties &amp; Responsibilities</b></p><br>
<ul><li>
Data Visualization
</li></ul><ul><li>Make complex datasets more accessible, understandable and usable by creating visual data models.
</li><li>Develop and maintain integrated data dashboards to display student data in support of institutional goals.
</li><li>Integrate multiple relational data sets to create data visualizations.</li></ul><ul><li>
</li></ul>
<ul><li>Research Design
</li></ul><ul><li>Conduct evidence-based best practice research and perform studies for strategic planning, program and policy assessment and student support services.
</li><li>Design effective research strategies and gather relevant information using primary and secondary sources and techniques (e.g., institutional data, course data, surveys, print sources, government agencies, external research organizations, etc.).
</li><li>Organize and execute research projects, identifying ways to improve research design and data validity.
</li><li>Develop and carryout research with sound methodologies to investigate undergraduate success and institutional effectiveness.
</li><li>Select and adapt quantitative methods, practices, and theories to perform analysis, interpret results, and document findings.
</li><li>Manage IRB protocols for VPUA projects.</li></ul>
<ul><li>
Data Analysis and Reporting
</li></ul><ul><li>Identify and analyze patterns in institutional data, make critical observations of policy impact, and recommend strategies and actions.
</li><li>Develop analytical models, identify trends and fluctuations, evaluate limitations of data, and specify the range of results needed for management planning, programming, and resource decisions. Generate ad-hoc reports as needed.
</li><li>Communicate with non-technical end-users to deliver reports.</li></ul>
<ul><li>Perform other related duties and participate in special projects as assigned.</li></ul><br>
<p></p>
<p><b>
Minimum Qualifications</b></p><br>
<ul>
<li>Bachelor&rsquo;s degree required.</li>
<li>Minimum two years of experience conducting education, social science, student success related research or data analytics/visualizations.</li>
<li>Demonstrated ability to interact with multiple constituents and articulate complex, multifaceted issues related to institutional effectiveness.</li>
<li>Ability to collect and analyze qualitative data from a variety of stakeholders.</li>
<li>Experience in a higher education setting using data analytics, research methods, and statistics including demonstrated experience using statistical software (SPSS, R, SAS, etc).</li>
<li>Proven ability to work in distributed systems.</li></ul><br>
<b>
Preferred Qualifications</b><br>
<ul>
<li>A Bachelor&rsquo;s degree in statistics, psychology, education, data analytics, computer engineering, computer science, or related field.</li>
<li>Master&rsquo;s or doctoral degree in these fields or other related disciplines.</li>
<li>Experience in developing, maintaining, and managing data dashboards.</li>
<li>Experience with software such as Python, SQL, and other database query reporting tools.</li></ul><p></p><p>
For fullest consideration, please submit your resume and cover letter by<b> Friday, March 20, 2026</b>.</p><p><i>
The University of Illinois System is an equal opportunity employer, including but not limited to disability and/or veteran status, and complies with all applicable state and federal employment mandates. Please visit </i><i>Required Employment Notices and Posters</i><i> to view our non-discrimination statement and find additional information about required background checks, sexual harassment/misconduct disclosures, and employment eligibility review through E-Verify.</i></p><p><i>
The university provides accommodations to applicants and employees. </i><i>Request an Accommodation</i></p><p><i>
Artificial Intelligence (AI) tools may be used in some portions of the candidate review process for this position, however, all employment decisions will be made by a person.</i></p></div></div></div></div><div></div>

Undergraduate Affairs Data Analyst - ORSS

Explore 440+ Data analyst intern advanced sql python data engineering focus in Chicago United States this March. Find roles across top companies and apply now to boost your career.