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data analyst

Union Tank Car Company (UTLX)

<div>UTLX
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.
WHO WE ARE: 
 
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!
POSITION SUMMARY:
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.
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.
Primary responsibilities and/or essential functions include, but are not limited to:<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>
SKILLS/SPECIFICATIONS:<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>
EDUCATION/EXPERIENCE/QUALIFICATIONS:<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>
Pay Range:
69,570.00 - 85,030.00
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>

Data Analyst

TransUnion

<div>TransUnion's Job Applicant Privacy Notice
Personal Information We Collect
Your Privacy Choices
What We'll Bring:
At TransUnion, we strive to build an environment where our associates are in the driver&rsquo;s seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day.
 
 
Come be a part of our team &ndash; you&rsquo;ll work with great people, pioneering products and cutting-edge technology.
What You'll Bring:
<ul><li>Bachelor Degree in statistics, economics, data science, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field with a track record of academic excellence
</li><li>2+ years of professional experience performing statistics and analytics work in Financial Services or related industries
</li><li>Ability to travel 10-20%
</li><li>Strong analytical, critical thinking, and creative problem solving skills
</li><li>Foundational programming skills; experience in leveraging statistical language such as R or Python; experience using other programming and data manipulation languages (SQL, Hive, C/C++, Java); basic knowledge in data visualization tools; proficiency with Microsoft Office tools
</li><li>Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment
</li></ul>We&rsquo;re also looking for the preferred skills below. Whether you are proficient or could use some brushing up, we&rsquo;re happy to support your development in :
<ul><li>2+ years of client-facing activities
</li><li>Basic understanding of the Financial Services industry and market trends
</li></ul>Impact You'll Make:
You will apply your analytical skills to work on all aspects of the account lifecycle in the consumer credit domain on behalf of a diverse set of clients, ranging from marketing and propensity models for customer acquisition and retention, fraud detection solutions, credit risk models for acquisition and account management, cross-sell applications, portfolio models for regulatory applications, event-based trigger solutions, and strategy analyses of various kinds. You will also develop complex analytic solutions directly with TransUnion customers, business partners and other departments.
This position is responsible for developing credit risk management and business intelligence analytic solutions through consulting engagements and research serving TransUnion&rsquo;s clients. This position requires an understanding of US consumer lending and credit risk management practices.
<ul><li>You will work closely with internal and external cross-functional teams to drive new business initiatives and deliver long-term value-added product propositions for customers in the US financial services segment at TransUnion. This includes but is not limited to the development of predictive risk management and business intelligence solutions for Fintechs, credit card issuers, collections agencies, and retail banks.
</li><li>You will support analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, including model validation, monitoring and review, and leveraging a variety of techniques (e.g., segmentation, logistic regression, gradient boosted trees, survival analysis, principal component analysis, scenario and sensitivity analysis) as role develops.
</li><li>You will support the writing of programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, and SQL.
</li><li>You will support the creation of analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience.
</li><li>You will provide technical and non-technical support to building sales presentations, and promotional collateral to enable the adoption of integrated customer solutions supported by TransUnion.
</li></ul>Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act.
Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company&rsquo;s reputation are also essential expectations of this position.
This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.
Benefits:
TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion&rsquo;s Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans.
We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans&rsquo; Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion&rsquo;s Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com.
<h2 class="jobSectionHeader">Pay Scale Information :
</h2>The U.S. base salary range for this position is $67,500.00 - $112,500 annually. *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual&rsquo;s education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations.
Regular, fulltime non-sales positions may be eligible to participate in TransUnion&rsquo;s annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents. 
 
TransUnion's Internal Job Title:
Sr Analyst, Data Analysis
Company:
TransUnion LLC</div>

Senior Data Analyst

Northwestern University

<div>
 
 Department:
 
 MED-Medical Social Sciences
 
 
 
 Salary/Grade:
 
 EXS/8
 
 
 Target hiring range for this position will be between $70,017 - $87,522 per year. Offered salary will be determined by the applicant&rsquo;s education, experience, knowledge, skills and abilities, as well as internal equity and alignment with market data.
 
 
 
 Job Summary
 
 
 
 Provides expertise in data management, quality assurance, analysis and reporting.Establishes data accuracy and validity derived from a variety of systems. Performs data analysis using statistical techniques. Researches and analyzes information using multiple databases and creates reports of data and results. Assists in the preparation and delivery of decision support reports to both internal and external customers.
 
 
 
 Specific Responsibilities
 
 
 
 
 Administration
 
 
 
 <ul>
 <li>
 Develop standardized templates, policies, and procedures for internal and external reporting.
 </li>
 <li>
 Designs and prepares documentation for qualitative and quantitative data analysis.
 </li>
 <li>
 Discuss findings with senior management.
 
 
 </li>
 </ul>
 
 Development
 
 
 
 <ul>
 <li>
 Develop queries and quality metrics.
 </li>
 <li>
 Interprets results using a variety of techniques, ranging from simple data aggregation to more complex statistical analysis.
 </li>
 <li>
 Manages complex databases.
 
 
 </li>
 </ul>
 
 Performance
 
 
 
 <ul>
 <li>
 Completes data cleaning and organizes data files for analysis.
 </li>
 <li>
 Reviews data and identifies quality issues.
 </li>
 <li>
 Presents findings in an appropriate manner.
 
 
 </li>
 </ul>
 
 
 Miscellaneous
 
 
 
 
 
 Performs other duties as assigned.
 
 
 
 
 Minimum Qualifications: (Education, experience, and any other certifications or clearances)
 
 
 
 <ul>
 <li>
 Successful completion of a full 4-year course of study in an accredited college or university leading to a bachelor's or higher degree; OR appropriate combination of education and experience.
 </li>
 <li>
 2 years data analysis/report writing or similar experience required.
 </li>
 <li>
 Python
 </li>
 <li>
 Data Modeling
 </li>
 <li>
 Debugging
 </li>
 <li>
 Troubleshooting
 </li>
 <li>
 Code documentation
 </li>
 <li>
 Collaboration and Teamwork
 </li>
 <li>
 Functional Documentation
 
 
 </li>
 </ul>
 
 Preferred Qualifications: (Education and experience)
 
 
 
 <ul>
 <li>
 Experience with QA/QC of assessments and data pipelines
 
 
 </li>
 </ul>
 
 Preferred Competencies: (Skills, knowledge, and abilities)
 
 
 
 <ul>
 <li>
 R
 </li>
 <li>
 JSON
 </li>
 <li>
 Familiarity with mobile assessments
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 At Northwestern, we are proud to provide meaningful, competitive, high-quality health care plans, retirement benefits, tuition discounts and more! Visit us at
 
 
 https://www.northwestern.edu/hr/benefits/index.html
 
 
 to learn more.
 
 
 
 
 Work-Life And Wellness
 
 
 
 
 Northwestern offers comprehensive programs and services to help you and your family navigate life&rsquo;s challenges and opportunities, and adopt and maintain healthy lifestyles.
 
 
 
 
 We support flexible work arrangements where possible and programs to help you locate and pay for quality, affordable childcare and senior/adult care. Visit us at
 
 
 https://www.northwestern.edu/hr/benefits/work-life/index.html
 
 
 to learn more.
 
 
 
 
 Professional Growth &amp; Development
 
 
 
 
 Northwestern supports employee career development in all circumstances whether your workspace is on campus or at home. If you&rsquo;re interested in developing your professional potential or continuing your formal education, we offer a variety of tools and resources. Visit us at
 
 
 https://www.northwestern.edu/hr/learning/index.html
 
 
 to learn more
 
 
 
 .
 
 
 
 
 
 Northwestern University is an Equal Opportunity Employer and does not discriminate on the basis of protected characteristics, including disability and veteran status. View Northwestern&rsquo;s
 
 
 non-discrimination statement
 
 
 . Job applicants who wish to request an accommodation in the application or hiring process should contact the Office of Civil Rights and Title IX Compliance. View
 
 
 additional information on the accommodations process
 
 
 .
 
 
 
</div>

Research Data Analyst

<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

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

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.
 
 
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Data Analyst - Player Success

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)

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