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Sr. Analyst, Data Science and Analytics

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Job Description:

Sr. Analysts, Data Science and Analytics for various and unanticipated worksites throughout the U.S (HQ: Chicago, IL). Develop credit risk management and business intelligence analytic solutions through consulting engagements and research. Partner with internal and external cross-functional teams to drive new business initiatives and deliver long term value-added product propositions. Lead analytic engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle. Design and write programs for data extraction, segmentation and statistical analysis on large population datasets. Deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience. Develop project proposals, sales presentations and promotional collateral. Mentor and train junior colleagues. Technical environment: SQL; Hive; Linux; segmentation; logistic regression; survival analysis; principal component analysis; Monte Carlo simulation; scenario & sensitivity analysis; Spark; R; Decision Tree; XGBoost; Machine Learning Model Validation & Auditing; Clustering Models; AWS; Python.

Job Requirement:
Master's degree in Statistics, Applied Mathematics, Analytics or related field plus 1 year of experience in Data Analytics required. Required skills (can be gained through experience or education): SQL; Hive; Linux; descriptive, predictive, and prescriptive analysis; segmentation; logistic regression; survival analysis; principal component analysis; Monte Carlo simulation; scenario & sensitivity analysis; Spark; R; Decision Tree; XGBoost; Machine Learning Model Validation & Auditing; Clustering Models; AWS; Python. Telecommuting permitted.

Benefits & Pay Scale Information:
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’s Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans.

The U.S. base salary range for this position is $93,974/yr - $112,500/yr. annually. Regular, fulltime non-sales positions may be eligible to participate in TransUnion’s annual bonus plan. Certain positions may also be eligible for long-term incentives and other payments based on applicable company guidance and plan documents.

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.

#LI-DNI 

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’s reputation are also essential expectations of this position.

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What You Should Know About Sr. Analyst, Data Science and Analytics, TransUnion

Are you ready to take your career to the next level? At TransUnion, we're on the lookout for a talented Sr. Analyst in Data Science and Analytics to join our dynamic team. Working remotely, you'll have the opportunity to innovate and develop cutting-edge solutions for credit risk management and business intelligence. In this role, you'll collaborate with our internal and external partners to spearhead new business initiatives and create products that truly deliver value. Your day-to-day tasks will include leading analytic engagements throughout the consumer lending portfolio lifecycle, crafting programs for data extraction and statistical analysis on vast datasets, and presenting insights and recommendations that drive business decision-making. You'll also mentor and empower junior analysts, ensuring our team remains at the forefront of the industry. If you're innovative, data-driven, and have a passion for utilizing advanced analytics tools like SQL, R, Python, and machine learning techniques, this is the perfect opportunity for you! Plus, you'll enjoy an extensive benefits package that includes flexible time off, health insurance, a 401(k) with employer match, and much more. Join us in shaping the future of data analytics at TransUnion!

Frequently Asked Questions (FAQs) for Sr. Analyst, Data Science and Analytics Role at TransUnion
What responsibilities does the Sr. Analyst, Data Science and Analytics role at TransUnion entail?

As a Sr. Analyst in Data Science and Analytics at TransUnion, your main responsibilities will include developing business intelligence analytic solutions, leading analytic engagements throughout the consumer lending portfolio lifecycle, and designing data extraction and statistical analysis programs. You'll also work closely with cross-functional teams to drive new business initiatives and present your findings to both internal stakeholders and customers.

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What qualifications are needed for the Sr. Analyst position at TransUnion?

To qualify for the Sr. Analyst, Data Science and Analytics role at TransUnion, candidates must hold a Master's degree in Statistics, Applied Mathematics, Analytics, or a related field, along with at least one year of experience in data analytics. Familiarity with tools such as SQL, Python, and R, along with strong analytical skills in predictive, prescriptive, and descriptive analysis is essential for success in this position.

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What technical skills are required for the Sr. Analyst, Data Science and Analytics role at TransUnion?

The Sr. Analyst, Data Science and Analytics position at TransUnion requires a variety of technical skills, including proficiency in SQL, Hive, Linux, as well as experience with statistical methods like logistic regression, survival analysis, and various machine learning techniques such as Decision Trees, XGBoost, and clustering models. Familiarity with AWS and tools like Spark is also advantageous.

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What kind of projects will I work on as a Sr. Analyst at TransUnion?

In your role as a Sr. Analyst, Data Science and Analytics at TransUnion, you'll engage in projects related to credit risk management and business intelligence. This includes conducting advanced analytics throughout the consumer lending lifecycle, providing actionable insights, and collaborating on initiatives that add long-term value to our products and services.

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Is remote work available for the Sr. Analyst, Data Science and Analytics position at TransUnion?

Yes! The Sr. Analyst, Data Science and Analytics role at TransUnion is a remote position, allowing you the flexibility to work from various locations throughout the U.S. You can enjoy the convenience of a flexible work environment while contributing to innovative projects.

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Common Interview Questions for Sr. Analyst, Data Science and Analytics
Can you explain a recent data analysis project you worked on?

When answering this question, focus on discussing the objectives of the project, the data sources you used, the methodologies applied, and the outcomes. Highlight your role in the project, any challenges you overcame, and how you presented your findings to stakeholders.

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What statistical methods are you most familiar with?

In your response, list the statistical methods relevant to the Sr. Analyst role, such as logistic regression, survival analysis, and Monte Carlo simulations. Provide examples of how you've applied these methods in real projects to derive insights.

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How do you handle missing or incomplete data?

Explain your approach to managing missing data, such as imputation techniques, excluding missing values, or using algorithms that support missing data. Discuss a specific example where you successfully addressed this issue in a project.

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Describe your experience with machine learning algorithms.

Discuss the specific machine learning techniques you're proficient in, such as Decision Trees and XGBoost. Provide examples of projects where you implemented these algorithms and the results achieved.

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How do you prioritize multiple analytic projects?

Share your strategy for prioritizing projects based on factors like impact, deadlines, and complexity. Emphasize your organizational skills and ability to communicate with stakeholders to align on priorities.

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What tools or software do you use for data extraction and analysis?

Mention the tools you are familiar with or have used, such as SQL, R, or Python. Discuss how you choose the right tool based on the specific requirements of the analysis or dataset.

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Can you explain predictive analytics and its importance?

Provide a concise definition of predictive analytics and explain its significance in decision-making processes. Use an example from your experience to illustrate how predictive models can inform business strategy.

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How do you ensure the accuracy of your analysis?

Discuss the steps you take to validate your data and findings, such as conducting data audits, peer reviews, and employing statistical testing to confirm the reliability of your insights.

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Have you ever had to present complex data findings to non-technical stakeholders?

Share your experience in crafting presentations for a non-technical audience, focusing on how you simplify data insights and use visual aids to enhance comprehension.

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What motivates you to succeed in a data analytics role?

Reflect on your passion for data, problem-solving, and how you enjoy deriving actionable insights to drive business decisions. Discuss how these elements inspire you to continuously learn and grow in your career.

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Our mission is to help people everywhere access the opportunities that lead to a higher quality of life. By helping organizations optimize their risk-based decisions and enabling consumers to understand and manage their personal information, we em...

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Full-time, remote
DATE POSTED
April 8, 2025

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