Fraud Analytics Manager, Fraud Risk Management
By Sizigi At Santa Clara County, CA, United States
Great benefits package including 401K matching.
Advanced degree in Mathematics, Accounting, Finance, Business Administration, Statistics, or closely related quantitative discipline.
Advanced modeling skills in Excel, SQL, or equivalent query languages, and Tableau or similar business intelligence or data visualization tools.
Develop periodic and ad-hoc analyses to identify and mitigate financial risks related to credit cards, account takeovers, and chargebacks.
Ensure financial plans, forecasts, and reporting appropriately reflect fraud and chargeback risks.
Prioritize and provide a clear line of sight to the most critical work to partners and team members.
Manager Ii, Advanced Analytics
By Walmart Marketplace At San Francisco Bay Area, United States
3-5+ years of professional experience in analytics utilizing SQL, data preparation tools and data visualization tools
Experience collaborating with partner teams to generate results that define organizational goals and KPIs.
Experience with SQL and cloud technologies like Google BigQuery, Databricks, Presto etc.,
Experience with data visualization tools such as Tableau, Looker, or Microsoft Power BI.
Data preparation, wrangling and cleansing using tools such as R/Python, Alteryx, KNIME, Tableau Prep or similar tools.
Perform deep dive analysis to influence metrics such as GMV, sellers, traffic, volume, and SKU performance to drive fulfillment strategic decisions.
Data Analyst Ii (Healthcare Analytics)
By Centene Corporation At Los Angeles, CA, United States

You could be the one who changes everything for our 26 million members. Centene is transforming the health of our communities, one person at a time. As a diversified, national organization, you’ll ...

Do you have a passion for uncovering fraud and protecting businesses from financial loss? We are looking for a Fraud Analytics Analyst II to join our team and help us identify and prevent fraudulent activity. You will be responsible for developing and implementing fraud analytics strategies, analyzing data to identify patterns of fraud, and working with stakeholders to develop solutions to mitigate fraud. If you have a knack for data analysis and a desire to make a difference, this is the job for you!

What is Fraud Analytics Analyst II Job Skills Required?

• Strong analytical and problem-solving skills
• Knowledge of data mining, predictive modeling, and statistical analysis
• Ability to interpret and analyze large datasets
• Proficiency in SQL, SAS, and/or other programming languages
• Excellent communication and presentation skills
• Ability to work independently and collaboratively

What is Fraud Analytics Analyst II Job Qualifications?

• Bachelor’s degree in a quantitative field such as mathematics, statistics, economics, or computer science
• At least 3 years of experience in fraud analytics or related field
• Knowledge of fraud detection techniques and technologies
• Experience with data visualization tools such as Tableau or Power BI

What is Fraud Analytics Analyst II Job Knowledge?

• Knowledge of fraud detection techniques and technologies
• Understanding of data mining, predictive modeling, and statistical analysis
• Familiarity with SQL, SAS, and/or other programming languages
• Understanding of data visualization tools such as Tableau or Power BI

What is Fraud Analytics Analyst II Job Experience?

• At least 3 years of experience in fraud analytics or related field
• Experience with data mining, predictive modeling, and statistical analysis
• Experience with SQL, SAS, and/or other programming