Credit Risk Business Intelligence Analyst

at  TreviPay

At TreviPay, we believe loyalty begins at the payment. Thousands of sellers use our global B2B payments and invoicing network to provide choice and convenience to buyers, open new markets and automate accounts receivables. With integrations to top eCommerce and ERP solutions and flexible trade credit options, TreviPay brings 40 years of experience serving leaders in manufacturing, retail and transportation.
Every day, TreviPay employees are challenged and empowered in a supportive, collaborative, entrepreneurial environment.
This position will provide analytical and critical analytical/reporting support for the Credit Risk team on all aspects of Credit Risk operations. This will include, but is not limited to, in-depth business strategy analyses, data and analytics, streamlining and automating current processes, identifying issues, and their resolutions, and presenting analytical results in an informative, actionable, and prescriptive reporting/dashboard to stakeholders. Collaborate across functional teams and levels. We are looking for an inquisitive storyteller, marketer, and presenter of credit data and credit risk performance/analyses to the senior executives and Trevipay

REQUIRED QUALIFICATIONS, CAPABILITIES, AND SKILLS:

• 5-7 years of experience in a data and analytical role with significant experience in building, developing, and delivering insightful/prescriptive reports and presentations to executives
• 5-7 years of experience in the credit/lending arena
• Bachelor’s Required, MA/MS preferred in marketing science, finance, or economics with a focus in a quantitative field such as mathematics or statistics
• Knowledge of A/B testing and outlier recognition
• Expert in SQL, and Excel; proficient in Python, R, SAS
• Expert with data visualization tools like Tableau, Power BI, PowerPoint, Sisence, etc.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with the ability to translate it into understandable and coherent reports and presentations
• Excellent communication and presentation skills.
• Strong interpersonal and influencing skills – ability to interact with colleagues at all levels and achieve goals without direct control over resources

• Analyze data to identify trends, patterns, and insights that can help guide business decisions.
• Develop and maintain reports and dashboards that effectively communicate data analysis results.
• Integrate internal and external data sources to automate the production of dashboards and reports while having the flexibility of producing ad-hoc analysis on an as-need basis
• Collaborate with different teams to understand their data needs and provide appropriate solutions.
• Use statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
• Ensure data quality and accuracy, identifying any inconsistencies and rectifying any issues.
• Present, explain findings to non-technical stakeholders in a clear and concise manner; consolidate the findings into a story
• Question and anticipate what is next and why