Senior Fraud Data Analyst jobs in United States
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Boost Mobile ยท 1 day ago

Senior Fraud Data Analyst

EchoStar is reimagining the future of connectivity, and they are seeking a meticulous and analytical Fraud Data Analyst to join their dynamic Retail Wireless team. This role involves preventing, detecting, and mitigating device fraud through advanced data analysis and investigation, utilizing expertise in data analytics to enhance fraud prevention strategies.

ElectronicsMobileTelecommunications
badNo H1Bnote

Responsibilities

Leverage Python and Machine Learning for the automation of reporting processes and enhancement of operational efficiency
Utilize SQL for data extraction and reporting to bolster fraud detection and prevention efforts
Creation of Tableau dashboards to identify suspicious patterns, anomalies, and trends indicative of device fraud
Perform data analysis on large datasets within Excel/Sheets to discern trends, anomalies, and patterns indicative of fraudulent behavior
Develop and maintain reports to track key fraud metrics, monitor performance, and communicate findings to stakeholders
Stay up-to-date on emerging fraud trends, techniques, and technologies, and proactively identify new fraud threats and vulnerabilities
Collaborate with cross-functional teams to develop, implement, and refine fraud prevention rules and algorithms based on data-driven insights and analysis
Provide support and expertise to internal teams on fraud-related issues, including data analysis, rule optimization, and fraud investigation techniques

Qualification

PythonMachine LearningSQLTableauExcelFraud detection techniquesAnalytical skillsRelevant certificationsWaterfall methodologyProblem-solving skillsCommunication skillsOrganizational skillsTeam collaboration

Required

Bachelor's degree in data analytics, data science, statistics, computer science, or a related field; advanced degree preferred
At least 2-3+ years of experience in a similar role, preferably in data analytics, business analytics, fraud analytics, or data science
At least 1+ year(s) of experience conducting Machine Learning
Strong proficiency in Python is required
Experience with Machine Learning tools is required
Proficiency in SQL for data querying and manipulation
Experience with data visualization tools (e.g., Tableau, Power BI)
Proficiency in Excel for data analysis and reporting
Strong analytical and problem-solving skills, with the ability to think critically and creatively to uncover fraud patterns and anomalies
Knowledge of fraud detection techniques, algorithms, and methodologies
Excellent communication and presentation skills, with the ability to effectively convey complex technical concepts to non-technical stakeholders
Detail-oriented with strong organizational skills and the ability to manage multiple priorities and deadlines
Ability to work both independently and collaboratively in a fast-paced, team-oriented environment

Preferred

Relevant certifications (e.g., Certified Fraud Examiner, Certified Analytics Professional) a plus
Experience with waterfall methodology to display reporting trends

Benefits

Versatile health perks
Flexible spending accounts
HSA
A 401(k) Plan with company match
ESPP
Career opportunities
A flexible time away plan

Company

Boost Mobile

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Boost Mobile offers wireless phones and services with no long-term contracts.

Funding

Current Stage
Late Stage
Total Funding
unknown
2020-07-01Acquired

Leadership Team

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Brian Lee (Beezy B)
Boost Mobile Partner
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Waleed Orabi
Business Partner
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Company data provided by crunchbase