Job summary
Job post source
This job is directly from TransUnion
Job overview
The Analyst, Data Analysis role at TransUnion supports credit risk management and business intelligence analytic solutions, impacting B2B clients globally by driving new business initiatives and delivering predictive analytics.
Responsibilities and impact
The analyst will partner with cross-functional teams to develop analytic solutions, perform descriptive and prescriptive analysis, write programs for data extraction and statistical analysis using languages like R, Python, SQL, and deliver insights to internal and external stakeholders while identifying opportunities for product adoption.
Compensation and benefits
The position offers a U.S. base salary range of $56,250 to $93,750 annually, eligibility for annual bonuses, long-term incentives, and comprehensive benefits including health plans, paid time off, parental leave, retirement plans with employer match, and employee stock purchase plans.
Experience and skills
Candidates should have a bachelor's degree in a quantitative field, strong programming skills in R or Python, experience with SQL and big data tools, analytical and problem-solving skills, and communication abilities; preferred qualifications include internships in financial services, familiarity with credit bureau data, Tableau experience, and global company experience.
Career development
The role offers opportunities to build new capabilities, work with pioneering products and cutting-edge technology, and grow in a collaborative, fast-paced environment that encourages innovation and skill development.
Work environment and culture
TransUnion promotes a welcoming, energetic, and collaborative culture that values innovation, diversity, and inclusion, with a hybrid work environment requiring in-person presence at least two days a week.
Company information
TransUnion is a global information and insights company serving industries like financial services and insurance with analytic products and solutions to manage credit risk and business intelligence.
Job location and travel
This is a hybrid position requiring work both virtually and in-person at a TransUnion office location at least two days per week, with some travel expected (10-20%).
Unique job features
The role involves working with large datasets using modern big data frameworks and cloud platforms, delivering analytic insights to executive audiences, and contributing to innovative credit risk and business intelligence solutions.
Company overview
TransUnion is a global information and insights company that provides credit information and information management services. They make money by offering credit reports, risk and fraud analytics, and decisioning capabilities to businesses and consumers. Founded in 1968, TransUnion has grown to become one of the three major credit reporting agencies in the United States. They leverage vast data assets and advanced analytics to help businesses make informed decisions and consumers gain access to financial opportunities. Their services are crucial in sectors like finance, insurance, and healthcare.
How to land this job
Position your resume at TransUnion by emphasizing your strong analytical skills, proficiency in programming languages like Python, R, SQL, and experience with big data tools such as Spark and Hive, reflecting the advanced technical requirements of the Analyst, Data Analysis role.
Highlight your experience or academic background in quantitative fields, familiarity with financial services, credit risk management, or related industries, and your ability to deliver data-driven insights and client-facing consulting skills.
Apply through multiple platforms including TransUnion’s official career website and LinkedIn to maximize your chances of visibility and consideration for the role.
Connect with current TransUnion employees in the data analysis or risk management divisions on LinkedIn, using ice breakers like commenting on recent TransUnion innovations, asking about their experience with TransUnion’s analytic products, or expressing genuine interest in their work with credit risk and business intelligence.
Optimize your resume for ATS by including keywords from the job description such as 'predictive risk management,' 'statistical analysis,' 'data extraction,' 'client-facing consulting,' and specific tools like 'Python,' 'R,' 'SQL,' 'Hive,' and 'Spark' to ensure it passes initial automated screenings.
Utilize Jennie Johnson’s Power Apply feature to automate tailored resume submissions, identify the best application channels, and find LinkedIn contacts to network with, allowing you to invest more time preparing for interviews and refining your skills.
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