Behavioral Insights Fraud Data Analyst Jobs

Demonstrated knowledge of development strategies, project management and business and technical consultancy

2+ years of Management or leadership experience

5 years of experience in a customer facing products/services environment

5 years of experience working within a data platform/data analysis environment

Experience leading teams of data analysts and data scientists.

Education: Bachelor's degree in Computer Science, Engineering or related field

Please note this position is fully remote**

2+ years of experience in SQL

2+ years of experience with programming using R or Python

2+ years of experience leading analyses with a track record of business impact

Financial Services / Fintech / Fraud or Identity sector experience strongly preferred

Data literacy - ability to drive insights and link to recommendations and actions

A professional development fund for continued learning about education, data storytelling, and/or technical skillsets

Technically skilled with data analysis and visualization tools, including proficiency with Python, SQL, and data visualization software

A competitive benefits package that includes but is not limited to:

Transform and manipulate data with the purpose of understanding and drawing conclusions from the data

Create and maintain meaningful and insightful dashboards for internal and external stakeholders

Design processes to ensure that programmatic and student success metrics are standardized and aligned with best practices in the field

2+ years relevant experience independently analyzing large scale datasets, executing quantitative research, and using data to formulate business insights

Expertise in data querying and manipulation in SQL and Excel; experience with Jupyter is a plus

Experience building slide presentations in Google Slides/PPT; demonstrated interest in data visualization is a plus

Track record of operating independently, demonstrating data-backed storytelling skills, being detail-oriented, and delivering results in a highly organized yet engaging manner

Experience in the digital space, social media, or advertising industry a plus

As a complement to first party data findings, analyze third party syndicated data sources (comScore, Global WebIndex, Mintel) for industry perspectives

Education on best practices and treatment to manage lifestyle challenges

Experience providing empathetic, culturally humble care

Strong organizational skills and an attention to detail

Complimentary opportunities for ongoing education

A support system, including a Care Support Team, to answer your questions, handle paperwork, manage referrals and ensure continuity of care

Maven-employed providers are eligible for benefits that closely align with our full-time employee package. Learn more at www.mavenclinic.com/careers.

Strong knowledge of and experience with reporting packages (Business Objects, Tableau, etc.), databases (SQL etc.), programming (XML, ETL frameworks)

Knowledge of statistics and experience using statistical packages for analyzing data sets (Excel, SPSS, SAS etc.)

This Position typically reports to Payments Fraud Manager

3+ years experience of work in data or analytical fields

Experience in internet-based risk and fraud mitigation

No additional years of experience

Produce regular reports and analysis to communicate fraud trends and risks to management

Build foundational scripts using SQL and database skills

Understanding the nuances of Etsy’s payment processing data and the myriad interactions with our financial systems.

Building rich data sources of truth that interweave complex payments data and foundational data from across the Etsy ecosystem

Finding and advocating for outstanding opportunities for Etsy’s growth that move critical metrics

Analyze data related to payments to identify potential fraud indicators

At least 1 year of relevant applied experience with a degree in Psychology, Social Science, or a related discipline.

Excellent communication skills, ability to communicate ideas visually, verbally, and in writing

Strong customer service and active listening skills and has the ability to adapt/respond to different types of personalities

Synthesize quantitative and qualitative research data and document your findings in a succinct and compelling manner.

Help establish documentation best practices and establish and maintain our research repositories.

Showcase strong time-management skills to maintain or exceed expected daily workloads, lead the team by example

Using deep analytical talent, identify areas of opportunity within the ecosystem to apply financial management and fraud prevention best practices

Manage individual performance and provide ongoing insight and coaching

Demonstrated depth of knowledge in the realm of financial services

Previous experience identifying opportunities to update, revise or implement rules and/or controls to mitigate fraud/inauthentic activity.

Prior leadership experience managing a team of high performing fraud analysts, including coaching and development

Provide support in designing and executing A/B testing, customer segmentation, and other analytical experiments to improve healthcare service offerings.

4-7 years of relevant experience in data analysis and insights, preferably within the healthcare domain.

Proven experience in handling private and identifiable data, with a strong understanding of data security and compliance standards.

Previous experience in the digital advertising or ad-tech industry is highly desirable.

Strong problem-solving skills, attention to detail, and the ability to work in a fast-paced, deadline-driven environment.

Excellent communication skills to convey complex findings to both technical and non-technical stakeholders.

At least 3+ years of professional experience in a business intelligence analyst and/or data analyst position

Experience using relational databases and big data via writing performant queries in SQL against large datasets in various environments

Strong SQL skills are required (MSSL, BQ, Hive, Presto)

Big Data Cloud experience a plus (Snowflake, Hadoop, etc)

Strong skills in Tableau, R, or Python for data analysis, structuring, transforming, and visualization

Experience with Amplitude a plus

At least 3+ years of professional experience in a business intelligence analyst and/or data analyst position

Experience using relational databases and big data via writing performant queries in SQL against large datasets in various environments

Strong SQL skills are required (MSSL, BQ, Hive, Presto)

Big Data Cloud experience a plus (Snowflake, Hadoop, etc)

Strong skills in Tableau, R, or Python for data analysis, structuring, transforming, and visualization

Experience with Amplitude a plus

Gain an understanding of root problems, define analytical objectives, and formalize data requirements for various types of analyses

Strong verbal, written, and interpersonal skills are required

Must be proficient in all MS Office applications with advanced Excel spreadsheet skills

Experience visualizing data with tools like Tableau is a plus

Advanced Tableau skills are highly desirable

Combine and analyze disparate data sources and derive insights in a Big Data environment

Experience working with workforce management software

Work with Associate Director and management team to outline the specific data needs for each business method analysis project

Manage relationships with CX and Insight to vendors and provide support and training to associates in utilizing these tools.

Experience in analytics, Excel, and other data visualization and business intelligence tools.

Excellent verbal and written communication skills and ability to interact with all levels of end-users and technical resources.

Strong analytic skills and ability to learn new concepts and software applications quickly and efficiently.

Strong knowledge of and experience with reporting packages (Business Objects, Tableau, etc.), databases (SQL etc.), programming (XML, ETL frameworks)

Knowledge of statistics and experience using statistical packages for analyzing data sets (Excel, SPSS, SAS etc.)

This Position typically reports to Payments Fraud Manager

3+ years experience of work in data or analytical fields

Experience in internet-based risk and fraud mitigation

No additional years of experience

Contribute to the growth of the team's capabilities and understanding of fraud through Cyber specific research and learning activities.

4+ years of data analysis experience preferably with focus on fraud prevention and/or cyber

A degree in a quantitative field of study (e.g., Statistics, Finance, Economics, Math, Sciences, Engineering)

Experience and understanding of working in either cyber-fraud intelligence collection & analysis or cyber-enabled fraud prevention and detection

Experience working with multiple cross-functional teams to deliver results

Experience in banking and/or fintech industry

Contribute to the growth of the team's capabilities and understanding of fraud through Cyber specific research and learning activities.

4+ years of data analysis experience preferably with focus on fraud prevention and/or cyber

A degree in a quantitative field of study (e.g., Statistics, Finance, Economics, Math, Sciences, Engineering)

Experience and understanding of working in either cyber-fraud intelligence collection & analysis or cyber-enabled fraud prevention and detection

Experience working with multiple cross-functional teams to deliver results

Experience in banking and/or fintech industry

Contribute to the growth of the team's capabilities and understanding of fraud through Cyber specific research and learning activities.

4+ years of data analysis experience preferably with focus on fraud prevention and/or cyber

A degree in a quantitative field of study (e.g., Statistics, Finance, Economics, Math, Sciences, Engineering)

Experience and understanding of working in either cyber-fraud intelligence collection & analysis or cyber-enabled fraud prevention and detection

Experience working with multiple cross-functional teams to deliver results

Experience in banking and/or fintech industry

Contribute to the growth of the team's capabilities and understanding of fraud through Cyber specific research and learning activities.

4+ years of data analysis experience preferably with focus on fraud prevention and/or cyber

A degree in a quantitative field of study (e.g., Statistics, Finance, Economics, Math, Sciences, Engineering)

Experience and understanding of working in either cyber-fraud intelligence collection & analysis or cyber-enabled fraud prevention and detection

Experience working with multiple cross-functional teams to deliver results

Experience in banking and/or fintech industry

Contribute to the growth of the team's capabilities and understanding of fraud through Cyber specific research and learning activities.

4+ years of data analysis experience preferably with focus on fraud prevention and/or cyber

A degree in a quantitative field of study (e.g., Statistics, Finance, Economics, Math, Sciences, Engineering)

Experience and understanding of working in either cyber-fraud intelligence collection & analysis or cyber-enabled fraud prevention and detection

Experience working with multiple cross-functional teams to deliver results

Experience in banking and/or fintech industry