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21st floor spinal cord unit patient care technician full time nights 7p-7:30am

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health analytics data science analyst

<div>
 Aon is looking for a Data Scientist Analyst to join the Health Commercial Analytics team.
 
 
 As part of an industry-leading team, you will help empower results for our clients by delivering innovative and effective solutions as part of the Commercial Analytics team within Aon.
 
 
 This is a hybrid role with the flexibility to work both virtually and from our Atlanta, GA or Chicago, IL offices
 
 
 
 Aon is in the business of better decisions
 
 
 
 At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.
 
 
 As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed.
 
 
 
 What The Day Will Look Like
 
 
 
 <ul>
 <li>
 Work with large health claims and risk datasets such as eligibility data, medical claims, and prescription drug claims data.
 </li>
 <li>
 Build statistical models on large health claims and risk datasets such as eligibility data, medical claims, and prescription drug claims data.
 </li>
 <li>
 Evaluate healthcare costs, outcomes, utilization and major drivers.
 </li>
 <li>
 Collaborate with data engineering and innovation teams
 </li>
 <li>
 Translate and simplify results for presentation to clients
 </li>
 <li>
 Work in collaboration with external healthcare carriers, data vendors and startups
 </li>
 <li>
 Be up to date on upcoming vendors and startups in the healthcare space in areas such as healthcare navigation, digital health and care delivery
 </li>
 <li>
 Support client teams and actuaries with data related requests
 
 
 </li>
 </ul>
 
 How This Opportunity Is Different
 
 
 
 A competitive total rewards package, continuing education &amp; training, and tremendous potential with a growing worldwide organization.
 
 
 
 Skills And Experience That Will Lead To Success
 
 
 
 <ul>
 <li>
 2+ years&rsquo; experience in health data analytics, statistics or related area
 </li>
 <li>
 Experience in data cleaning, exploratory analysis, predictive analytics
 </li>
 <li>
 Have familiarity with medical claims reporting and billing
 </li>
 <li>
 Experience working with large datasets
 </li>
 <li>
 Strong applied statistics skills such as model training and validation, statistical testing
 </li>
 <li>
 Knowledge of Python, SQL, R or other coding languages
 </li>
 <li>
 Experience with data visualisation tools: Power BI/plotly/ Rshiny
 </li>
 <li>
 Good communication skills, both oral and in writing
 </li>
 <li>
 Good organization and time management skills; ability to work independently
 
 
 </li>
 </ul>
 
 Education
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in actuarial science, data science, economics, mathematics, statistics or other related fields
 
 
 </li>
 </ul>
 
 Pay Transparency
 
 
 
 The salary range for this position (intended for U.S. applicants) is $90,000 - $109,000 annually. The actual salary will vary based on applicant&rsquo;s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant&rsquo;s geographic location.
 
 
 This position is eligible to participate in one of Aon&rsquo;s annual incentive plans to receive an annual discretionary bonus in addition to base salary. The amount of any bonus varies and is subject to the terms and conditions of the applicable incentive plan.
 
 
 
 How We Support Our Colleagues
 
 
 
 Aon offers a comprehensive package of benefits for full-time and regular part-time colleagues, including, but not limited to: a 401(k) savings plan with employer contributions; an employee stock purchase plan; consideration for long-term incentive awards at Aon&rsquo;s discretion; medical, dental and vision insurance, various types of leaves of absence, paid time off, including 12 paid holidays throughout the calendar year, 15 days of paid vacation per year, paid sick leave as provided under state and local paid sick leave laws, short-term disability and optional long-term disability, health savings account, health care and dependent care reimbursement accounts, employee and dependent life insurance and supplemental life and AD&amp;D insurance; optional personal insurance policies, adoption assistance, tuition assistance, commuter benefits, and an employee assistance program that includes free counseling sessions. Eligibility for benefits is governed by the applicable plan documents and policies.
 
 
 In addition to our comprehensive benefits package, we encourage an inclusive workforce. Plus, our agile environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two &ldquo;Global Wellbeing Days&rdquo; each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions for our colleagues as well.
 
 
 Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued.
 
 
 Aon values an innovative and inclusive workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace.
 
 
 Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status. People with criminal histories are encouraged to apply.
 
 
 We welcome applications from all and provide individuals with disabilities with reasonable adjustments to participate in the job application, interview process and to perform essential job functions once onboard. If you would like to learn more about the reasonable accommodations we provide, email ReasonableAccommodations@Aon.com
 
 
 For positions in San Francisco and Los Angeles, we will consider for employment qualified applicants with arrest and conviction record in accordance with local Fair Chance ordinances.
 
 
 
 Aon is not accepting unsolicited resumes from search firms for this position. If you are a search firm, you will not be compensated in any way for your submission of a candidate, even if Aon hires that candidate.
 
 
 
 Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.
 
 
 2575501
 
 
</div>

Health Analytics - Data Science Analyst

University of Illinois

<div><div><div><div>Undergraduate Affairs Data Analyst - ORSS 
Hiring Department: Office for Research on Student Success

Location: Chicago, IL USA

Requisition ID: 1039326
Posting Close Date: March 27, 2026
Salary: 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. 
About the University of Illinois Chicago
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.
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.
Position Summary 
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. 
 
Duties &amp; Responsibilities 
<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> 


Minimum Qualifications 
<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> 

Preferred Qualifications 
<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>
For fullest consideration, please submit your resume and cover letter by Friday, March 20, 2026.
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 Required Employment Notices and Posters 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.
The university provides accommodations to applicants and employees. Request an Accommodation
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.</div></div></div></div><div></div>

Undergraduate Affairs Data Analyst - ORSS

Excel Sports Management

<div><div>Excel Sports Management is an industry-leading sports agency representing top-tier talent, blue-chip brands and marquee properties. Our success is rooted in our people, our high character reputation and our commitment to creating a diverse and welcoming workplace. We focus on team chemistry, collaboration, strong relationships, valuable networks, and ambitious ideas to deliver innovative solutions that keep our clients and agency ahead of the curve. 


Excel Sports Management is an Equal Opportunity Employer (EOE).</div>
Position Summary: Our team is seeking a highly analytical, detail-oriented Senior Coordinator to serve as a foundational member of our Analytics and Data Operations function within Excel Analytics. This individual will sit at the intersection of data quality assurance, data governance, and applied analysis - acting as a critical connective layer between our Engineering team &amp; Analytics Ops who depend on accurate, well-structured data to do their best work. The Senior Coordinator will be responsible for establishing and maintaining data governance practices, enforcing data quality standards, documenting data definitions and lineage across our internal and syndicated data ecosystem, and supporting the broader analytics infrastructure that powers our sponsorship valuation and measurement capabilities. This role will be based in the Excel Chicago office.

This is a role for someone who is operationally minded and technically curious - someone who takes ownership of data integrity, builds process where there is none, and holds a high standard for what &quot;trustworthy data&quot; means in a fast-paced client services environment. Candidates with prior experience in data operations, analytics, consulting, or a data governance-adjacent function are strongly preferred.

Within Excel Sports Management, the Excel Analytics team serves as the center of gravity for all commercial marketing insights and analytics including sponsorship measurement, consumer insights, talent analytics and industry/category analysis. Excel Analytics is comprised of a vertically-integrated team of specialists supporting brand, property and talent clients, from back-end engineering, through to modeling and analytics and finally to our client-facing consultants who interpret and visualize our results. 


 Role &amp; Responsibilities:
<ul>
<li>Own the ongoing monitoring of data quality across key internal, syndicated, and third-party vendors/data sources.</li>
<li>Serve as the primary point of contact for day-to-day operational management between vendors and Excel Analytics.</li>
<li>Oversee Analytics' core data assets &amp; maintain a working knowledge of data sources, their structure, lineage, refresh cadence, and known limitations.</li>
<li>Establish and enforce data quality standards while documenting the logical and physical data models for our core analytics data ecosystem - including entity relationships, field mappings, and schema documentation</li>
<li>Develop and execute recurring data validation routines and automated quality checks to detect anomalies, missing records, schema drift, and inconsistencies before they reach production reporting.</li>
<li>Perform root cause analysis on data quality issues; document findings and coordinate with Engineering/DevOps to ensure timely resolution</li>
<li>Build and maintain a data dictionary and metadata repository - defining field-level definitions, acceptable value ranges, business rules, and data ownership for all key datasets</li>
<li>Partner with Engineering to support data pipeline design, ETL process documentation, and the integration of new data sources into the analytics environment</li>
<li>Evaluate and document structural changes to data sources (schema updates, field deprecations, new API versions) and assess their downstream impact on dashboards, models, and reporting outputs</li>
<li>Assist in the evaluation of new data tools, platforms, and syndicated data vendors - contributing to requirements definition and fit assessments</li>
<li>Support the Analytics Operations and Partnership Insights teams with ad hoc data requests, query writing, and data extraction across internal databases and syndicated data platforms</li>
<li>Contribute to the development of internal reporting templates and standardized analytical frameworks to drive consistency and efficiency across client deliverables</li>
<li>Establish a deep understanding of the sponsorship landscape in sports &amp; entertainment</li></ul> 


Education &amp; Experience:
<ul>
<li>Bachelor's degree required, preferably in Business Analytics, Statistics, Mathematics, Information Systems, Computer Science, or a related field</li>
<li>2-4 years of experience in a Data Consulting, Data Analyst, Data Architect, Data Quality, or governance-adjacent role</li>
<li>Prior experience in consulting, agency, or professional services environment strongly preferred.</li>
<li>Exposure to or interest in sports/sports marketing, entertainment/media, or marketing analytics a plus but not required.</li></ul> 


Knowledge, Skills &amp; Abilities:
<ul>
<li>Familiarity with data modeling concepts (entity-relationship diagrams, dimensional modeling, schema design) and the ability to read and interpret technical documentation</li>
<li>Proficiency in SQL; ability to write queries to extract, join, and validate data across relational databases</li>
<li>Working knowledge of Python or R for data manipulation and automation tasks; comfort with scripting to support validation workflows</li>
<li>Experience with data quality tools, data cataloging platforms, or metadata management systems</li>
<li>Strong documentation skills - able to write clear process guides, data dictionaries, and technical specifications for both technical and non-technical audiences</li>
<li>Detail-oriented with a high degree of accuracy; a natural ownership mentality around data integrity</li>
<li>Strong communicator - comfortable surfacing issues, presenting findings, and collaborating with stakeholders at multiple levels of the organization</li>
<li>Proactive self-starter who can manage multiple workstreams, prioritize effectively, and operate with minimal supervision</li>
<li>Intellectually curious and proactive, recognizing opportunity and implementing procedures to enhance efficiencies across the team</li>
<li>Uncompromised ethics and integrity, always focused on doing what is right for our clients</li>
<li>Knowledge of the sports and sponsorship landscapes in the US and globally</li>
<li>Ability to work both independently, and within a team, and establish effective interdepartmental relationships</li>
<li>Ability to prioritize and manage workflow in an environment of managing multiple projects simultaneously</li></ul> 


The pay range for this position is: $70,000 per year - $80,000 per year. This position is also eligible for benefits and discretionary bonus.

Ultimately, the salary may vary based upon, but not limited to, relevant experience, time in role, business sector, and geographic location, among other criteria.<div>
This position is not eligible for sponsorship. 


Excel Sports Management provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, leaves of absence, compensation and training.</div></div>

Senior Coordinator, Analytics- Data Quality and Operations

Machinery Marketing Inter

Data Analyst Intern (Advanced SQL / Python / Data Engineering Focus)Location: On site (Chicago preferred) Duration: 6 months Type: Internship (High-Impact Technical Track)Role OverviewWe are seeking a highly technical Data Analyst Intern 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.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.Core Responsibilities1. Advanced SQL &amp; Query Optimization<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>Expected databases:<ul><li>PostgreSQL / MySQL / SQL Server</li><li>Familiarity with columnar systems (Redshift / BigQuery / Snowflake) is a plus</li></ul>2. Data Modeling &amp; Warehousing<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>3. Python &amp; Data Pipelines<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>4. Statistical &amp; Experimental Analysis<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>5. Dev &amp; Infrastructure Exposure<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>Required Qualifications<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>Preferred Qualifications<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>Compensation<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>Pay: From $20.00 per hourWork Location: In person

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

Zynga

<div>
 
 Level Up Your Career with Zynga!
 
 
 
 At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times&mdash;connecting players in 175+ countries through fun, strategy, and a little friendly competition.
 
 
 From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille&trade;, Words With Friends&trade;, Zynga Poker&trade;, Game of Thrones Slots Casino&trade;, Wizard of Oz Slots&trade;, Hit it Rich! Slots&trade;, Wonka Slots&trade;, Top Eleven&trade;, Toon Blast&trade;, Empires &amp; Puzzles&trade;, Merge Dragons!&trade;, CSR Racing&trade;, Harry Potter: Puzzles &amp; Spells&trade;, Match Factory&trade;, and Color Block Jam&trade;&mdash;plus many more!
 
 
 Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation&mdash;and where you can take your career to the next level.
 
 
 Join us and be part of the play!
 
 
 
 Position Overview
 
 
 
 Zynga&rsquo;s mission is to connect the world through games. Its vision was that gaming would become a mass market activity, and "play" would be an important verb in our daily lives. As a part of this vision, Zynga Analytics partners with studios to release and grow multiple games, while also owning the analytics stack and central tools.
 
 
 Zynga&rsquo;s Data Science and Analytics team uses our unique and expansive data to model and predict user behavior, making our games more personalized and more fun to play! We continually strive to better understand our players!
 
 
 Here&rsquo;s where you would come in: The Player Success Org (PSO), tasked with improving player engagement and managing a healthy relationship with our most valued players, is a critical function to the day-to-day operations of Zynga. You&rsquo;d be expected to work with key stakeholders within the PSO to identify critical data dependencies, and devise solutions for them in the form of efficient data modeling, succinct reporting, timely investigations, and proactive insights. Based on the problem at hand, you&rsquo;d be expected to collaborate with Game and Central Analytics as per requirement to ensure complete horizontal alignment as well as standardized practices.
 
 
 Be innovative, be creative, use every bit of that key commodity &ndash; data. Millions of people play Zynga games every day, so our data is tremendously rich, and we have a lot of it!
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Work with large amounts of data to find opportunities to improve the player experience and present insights on optimal VIP outreach strategies, by finding statistical causation between campaigns, sweepstakes, outreach programs across various regions, demographics, and channels
 </li>
 <li>
 Develop clear narratives from data using visualization tools that capture VIP engagement &amp; health, player support, and campaign stats.
 </li>
 <li>
 Extend support to the Player Support team to identify improvement opportunities in customer satisfaction, while optimizing for internal costs.
 </li>
 <li>
 Collaborate with game analysts and product managers to better quantify the impact of PSO&rsquo;s campaigns on overall game performance and find opportunities to improve VIP engagement by leveraging in-game and external synergy
 </li>
 <li>
 Provide adhoc support to account managers and senior stakeholders in measuring the effectiveness of off-beat campaigns, joint collaborations, and sweepstakes
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 Fluent in SQL; Intermediate experience with programming in Python
 </li>
 <li>
 Adept in at least one visualization tool such as Tableau
 </li>
 <li>
 Experience in CRM or sales analytics is helpful
 </li>
 <li>
 Demonstrated experience with some or all of the following: data mining, optimization, experimental design, computational analytics, and reporting
 </li>
 <li>
 Ability to work effectively in a fast-paced environment with changing priorities
 </li>
 <li>
 Strong written and oral communication skills
 </li>
 <li>
 2+ years of work experience in data analytics or data science roles
 </li>
 <li>
 BS in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters, MBA or PhD preferred.
 
 
 </li>
 </ul>
 
 What We Offer You
 
 
 
 Zynga offers a world-class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits site
 
 
 
 The pay range for this position in Illinois at the start of employment is expected to be between $77,100 and $123,400 per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations.
 
 
 
 
 The pay range for this position in Ontario at the start of employment is expected to be between $71,400 and $105,660 per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations.
 
 
 
 
 Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program.
 
 
 
 
 Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company&rsquo;s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses. The use of Artificial Intelligence is not being used to screen candidates. The position is for an existing vacancy.
 
 
 
 We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic &ndash; not an individual&rsquo;s race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law.
 
 
 As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at accommodationrequest@zynga.com to request any accommodations or for support related to your application for an open position.
 
 
 Please be aware that Zynga does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Zynga also does not engage in any financial exchanges during the recruitment or onboarding process, and will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scamp or phishing attack, and you should not engage. Zynga&rsquo;s in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a zynga.com, naturalmotion.com, smallgiantgames.com, themavens.com, gram.gs email domain).
</div>

Data Analyst - Player Success

Union Tank Car Company (UTLX)

<div>Union Tank Car Company
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.
Marmon Holdings, Inc., a Berkshire Hathaway company, is significantly investing in attracting, retaining, and developing the deep and diverse talent pool needed to support our more than 100 operating companies across the globe.
Marmon Rail &amp; Leasing helps keep the global economy moving. Marmon Rail has approximately $1.8B in revenue across the 18 total Marmon Rail business units. Our products and services enable the safe and efficient delivery of essential commodities &ndash; from crude oil to corn syrup &ndash; across continents and oceans. In Marmon&rsquo;s Rail &amp; Leasing Group, we design, build, repair and lease. With more than 125 years in the tank car business, we have established our place as the industry leader. Our integrated business model, which combines railcar manufacturing, leasing and repair, drives our success. From our industry-leading railroad tank cars and intermodal containers to a wide range of components and services, we innovate to serve our customers.
This Summer internship is a full-time position in our Chicago office with a requirement to be in-office 5 days/week for the duration of the Summer program (approximately late May &ndash; mid-August).
Business/Data Analyst Intern
Our businesses are embarking on a significant process and information technology transformation. It is an exciting time, as we are in a period of rapid change. We require business analysis and project management talent to lead us through these challenges.
Summary:
The Business Process Analysis Team is seeking a Summer Intern (Business Analytics / Data Analytics) with strong interest in translating business problems into data-driven solutions and visual storytelling. The individual in this role should be a detail-oriented critical thinker with strong communication skills and a willingness to learn and take on challenges. The ideal candidate would possess the following skills:<ul><li>
Technical capability: Proficient in SQL (writing/optimizing queries across multiple tables for extraction, transformation, validation, and analysis) and DAX for modeling and measures in Power BI.</li><li>
Power BI delivery: Able to design, build, and maintain dashboards and automated reporting that supports KPI monitoring, operational visibility, and stakeholder decision-making.</li><li>
Data analysis &amp; quality mindset: Comfortable working with multiple data sources, performing data analysis, identifying gaps/inconsistencies, and supporting data quality checks/standardization (e.g., profiling, cleanse rules, documentation of findings).</li><li>
Capstone project leadership: Will lead a capstone effort to build a master data table, coordinating requirements and definitions with business process owners, subject matter experts, and IT, and translating those requirements into a usable, governed dataset.</li><li>
Project management &amp; process improvement: Brings structured execution skills&mdash;planning work, tracking progress, documenting decisions, and identifying opportunities to improve processes through analytics and standard work.</li><li>
Collaboration &amp; communication: A proactive team player who works well with others, communicates clearly with technical and non-technical stakeholders, and can turn business questions into actionable analytical outputs.</li></ul>
REQUIRED EDUCATION and EXPERIENCE:<ul><li>
Currently pursuing a bachelor&rsquo;s degree in business, economics, finance or accounting.</li><li>
Excellent analytical, problem-solving, organizational, verbal, written, and interpersonal skills</li><li>
Proficient in Microsoft Products including Word, Excel, PowerPoint, and SharePoint.</li><li>
Ability to work in a team environment.</li></ul>
Pay Range: $20-$24
DISCLAIMER:
The duties listed are not intended to be all-inclusive and may change at any time with or without notice. This job description does not constitute a contract of employment.
Pay Range:
18.00 - 22.00
We offer a comprehensive benefits package that may include medical, dental, vision, 401k matching, and more!
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.
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.</div>

Business/Data Analyst Intern

Guidehouse

<div>Job Family:
Data Science Consulting 
Travel Required:
Up to 10% 
Clearance Required:
None<div>
Job Posting</div><div><div><div><div><div><div><div><div><div>
What You&rsquo;ll Do:
The Healthcare Finance Data and AI team translates healthcare data into measurable healthcare financial performance. This role is dedicated to managed care contracting &ndash; you will learn to read payer contracts (commercial and government), model reimbursement terms in our existing tools, and enhance those tools with automation using SQL and Python. You will partner with contracting, revenue integrity, and patient financial services teams to ensure our modeled rates and rules align with contract language and adjudication behavior, and you will turn findings into clear, executive-ready recommendations.<ul><li>
Learn and interpret payer contracts (fee schedules, DRG/APC, per diem, percent-of-charge, case rates, carveouts, stoploss/outlier, multiple procedure reductions, modifiers, bundling/packaging rules, lesser-of logic, escalators, effective dates, term/renewal, amendments).</li><li>
Translate contract terms into machine-readable logic and configure/model those terms in our existing pricing/adjudication tools.</li><li>
Validate modeled results by reconciling remittance advice (835/ERA) and historical payments; investigate and resolve discrepancies with root cause analysis.</li><li>
Maintain a controlled library of contract models (versioning, effective/expiry dates, audit trail, documentation of assumptions).</li><li>
Build/optimize ETL/ELT pipelines to ingest fee schedules and contract artifacts; implement QA/validation checks (e.g., dimensional completeness, rate reasonableness, variance thresholds).</li><li>
Use advanced SQL (window functions, CTEs, stored procedures, query tuning) to automate contract lookups, grouper logic, case mix normalization, and variance analytics.</li><li>
Use Python (preferred) for parsing artifacts, applying calculation engines, regression/variance checks, and generating repeatable validation reports.</li><li>
Develop Power BI/Tableau dashboards for contract performance (e.g., allowed vs. expected, underpayment/overpayment detection, denial patterns, yield by payer/product).</li><li>
Own analytics workstreams; present findings that connect contract mechanics to RCM KPIs (denial rate, DNFB, AR days, first pass yield, cash acceleration, net revenue).</li><li>
Work with Managed Care/Finance, Revenue Integrity/CDM, PFS, and IT/Data teams to align interpretation, data sources, and operationalization.</li><li>
Support pursuits (POVs, demos) showcasing our contract modeling capabilities and automation.</li><li>
Enhance our contract modeling tooling: propose schema/logic improvements, performance tuning, error handling, and test harnesses.</li><li>
Contribute reusable assets (SQL/Python modules, validation checklists, samples, documentation); uphold SDLC/Agile practices and code review standards.</li></ul>
What You Will Need:<ul><li>
Bachelor's degree is required</li><li>
Minimum ONE (1) year of experience in healthcare analytics, consulting, or adjacent healthcare services with measurable data driven outcomes (revenue cycle management exposure strongly preferred).</li><li>
Experience building production-grade ETL/ELT processes and implementing data quality frameworks.</li><li>
Proficiency with BI/visualization tools (Power BI or Tableau) and strong Excel skills.</li><li>
Excellent communication&mdash;able to translate technical and contractual details into concise, executive-ready insights.</li><li>
Detail oriented, self-directed, collaborative teammate comfortable leading workstreams.</li></ul>
What Would Be Nice To Have:<ul><li>
Hands‑on with Azure Data Factory, Databricks, SSIS (or similar).</li><li>
Understanding of payer/provider operations and payment methodologies; experience with contract modeling or payment variance analytics is a strong plus (we will train on contract reading).</li><li>
Experience with Agile practices and Git-based version control.</li><li>
Experience with regulatory reporting and transparency initiatives (e.g., CMS price transparency, charge master reviews).</li></ul>
#LI-DNI</div></div></div></div></div></div></div></div></div>
The annual salary range for this position is $89,000.00-$148,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. 
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:<ul><li>
Medical, Rx, Dental &amp; Vision Insurance</li><li>
Personal and Family Sick Time &amp; Company Paid Holidays</li><li>
Position may be eligible for a discretionary variable incentive bonus</li><li>
Parental Leave and Adoption Assistance</li><li>
401(k) Retirement Plan</li><li>
Basic Life &amp; Supplemental Life</li><li>
Health Savings Account, Dental/Vision &amp; Dependent Care Flexible Spending Accounts</li><li>
Short-Term &amp; Long-Term Disability</li><li>
Student Loan PayDown</li><li>
Tuition Reimbursement, Personal Development &amp; Learning Opportunities</li><li>
Skills Development &amp; Certifications</li><li>
Employee Referral Program</li><li>
Corporate Sponsored Events &amp; Community Outreach</li><li>
Emergency Back-Up Childcare Program</li><li>
Mobility Stipend</li></ul>
About Guidehouse
Guidehouse is an Equal Opportunity Employer&ndash;Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse&rsquo;s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant&rsquo;s dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.</div>

Healthcare Analytics – Payor/Provider Finance Data and AI, Managed Care Contracting & Optimization

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