Senior Data Science Analyst, Consumer Solutions
Senior Data Science Analyst, Consumer Solutions
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
TransUnions Job Applicant Privacy Notice
What Well Bring:
What Well Bring:At TransUnion we strive to build an environment where our associates are in the drivers 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.
What Youll Bring:
Impact Youll Make:
TransUnions Global Solutions organization builds product capabilities for TransUnion and deliver worldclass products to our customers. This role will act as a lead analyst of the TransUnion Consumer Interactive product team and is responsible to support and execute on key opportunities for our online consumerfacing products to better serve a US customer base. The senior product analyst will be working with our DirecttoConsumer products including credit monitoring identity protection and regulatory products. It is responsible for leading monitoring of our products and their performance analysis to determine go forward enhancements and supporting model development where models are a core part of our product offering or an important predictive piece of how we deliver our product. This role will partner and collaborate with stakeholders across Technology UX Marketing Legal Compliance Operations and other key matrix functions at TransUnion to drive the consumer product strategy forward. The analyst will have the opportunity to support our transformation modernization and innovation initiatives.
This is a hybrid position and involves regular performance of job responsibilities virtually as well as inperson at an assigned TU office location for a minimum of two days a week.
Key responsibilities include
- Establish and enhance ongoing monitoring programs around key performance indicators for consumer products
- Conduct indepth product analysis to identify trends patterns and insights that drive business decisions.
- Develop implement and maintain advanced data models to support product development and optimization.
- Design and execute experiments to test hypotheses and measure the impact of product changes.
- Utilize statistical methods and machine learning techniques to analyze large datasets and generate actionable insights.
- Present analytical findings and recommendations to internal and external stakeholders representing a wide range of backgrounds and levels in a clear and concise manner.
- Mentor and guide junior data analysts fostering a culture of continuous learning and improvement.
- Collaborate with crossfunctional teams including product managers engineers and marketing to understand business needs and deliver datadriven solutions.
- Collaborate with crossfunctional teams to deliver innovative analytical products with a focus on developing algorithms related to breach risks.
- Contribute to omnichannel fraud reporting by analyzing breach databases to identify trends extract insights and generate summaries of findings.
Impact Youll Make:
Qualifications and Education:
What Youll Bring:
- Masters or PhD degree in quantitative discipline such as Mathematics Statistics Engineering or Analytics with at least one (1) year of relevant professional experience or a Bachelors degree in a quantitative field with at least three (3) years of relevant professional experience
- Proficiency with programming and data manipulation languages such as SQL Hive Spark; experience with statistical programs such as R or Python; high level of familiarity with Microsoft Office tools.
- Strong experience with data visualization tools (e.g. Tableau Power BI).
- Expertise in statistical analysis and machine learning techniques.
- Proven analytical critical thinking and creative problemsolving skills and attention to detail.
- Strong communication skills with the ability to convey complex data insights to nontechnical stakeholders.
- Strong project and time management skills with the ability to manage multiple assignments effectively.
- Experience working in an agile environment is a plus.
TransUnion Job Title
Sr Consultant Data Science and AnalyticsRequired Experience:
Senior IC
Employment Type
Full-Time
