Consultant, Data Analysis – Revenue Insights

October 15

🇨🇷 Costa Rica – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💼 Consultant

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Logo of TransUnion

TransUnion

Finance • Security • B2C

TransUnion is a global credit information and insights company based in the United States. It offers a range of products and services related to credit monitoring, identity theft protection, and credit report management, including free annual credit reports, fraud alerts, and credit freezing services. TransUnion uses the VantageScore® 3. 0 model to provide credit scores, although lenders may use different models to assess creditworthiness. It provides powerful tools for consumers to manage and understand their credit health, such as credit monitoring with alerts and ID theft insurance. TransUnion serves various industries, including financial services, automotive, and media, and is committed to financial inclusion, data security, and consumer privacy. It also provides business solutions for credit portfolio management, customer acquisition, debt recovery, and fraud prevention.

10,000+ employees

Founded 1968

💸 Finance

🔐 Security

👥 B2C

💰 Post-IPO Debt on 2018-04

📋 Description

• Deliver timely and accurate analytics to support internal teams in resolving client usage and billing inquiries. • Conduct strategic analysis for pricing validation, deal support, and partnership evaluation. • Design Apache Superset dashboards and collaborate with engineers for implementation. • Support what-if scenario modeling, vertical/segment performance analysis, and trend identification. • Collaborate with engineering to define data requirements and support automation initiatives. • Contribute to the creation and maintenance of PRDs and technical documentation. • Provide ad hoc reporting and insights to business leadership and client-facing teams.

🎯 Requirements

• Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering) • 5+ years of experience in data analytics, preferably in digital media, financial services, or SaaS environments • Advanced proficiency in SQL and Excel, including: INDEX-MATCH, XLOOKUP, IFERROR, VBA, data validation, pivot tables, and scenario modeling • Experience with Apache Superset or similar BI tools; ability to design dashboards in collaboration with an engineer • Familiarity with Python is a strong plus • Demonstrated experience with forecasting models Time series analysis (ARIMA, exponential smoothing), logistic regression, decision trees, random forests a plus • Strong understanding of data quality control, cleansing, and transformation techniques • Proven ability to create compelling data visualizations and dashboards. • Experience working with engineering teams and contributing to PRDs and technical documentation. • Familiarity with Agile methodologies and JIRA. • C2-level English proficiency (CEFR standard).

🏖️ Benefits

• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance

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