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manager, business intelligence & analytics

data analyst

Match Group

<div><div><b>Hinge is the dating app designed to be deleted</b></div><div></div><div><br>
In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we&rsquo;re on a mission to inspire intimate connection to create a less lonely world. We&rsquo;re obsessed with understanding our users&rsquo; behaviors to help them find love, and our success is defined by one simple metric&ndash; setting up great dates. With millions of users across the globe, we&rsquo;ve become the most trusted way to find a relationship, for all.</div><div></div><div><b><br>
About the Role</b></div><div></div><div><br>
Hinge is seeking an experienced Data Analyst to join our Trust and Safety organization. As a Data Analyst, you will work closely with stakeholders on our bad actor detection team to provide data-driven insights that keep scammers off the platform and our users safe!</div><div></div><div><br>
This role will collaborate with stakeholders across product management, research, and engineering using descriptive analytics, a working knowledge of frequentist statistics, and business intelligence tools to unlock insights in our data.</div><div></div><h3 class="jobSectionHeader"><b><br>
Responsibilities</b></h3><ul><li>
Triage scammer attacks and disseminate rapid, real-time data support to take down fraud accounts quickly and accurately</li><li>
Develop an expert understanding of Hinge data, key product and business metrics, and factors that can impact performance</li><li>
Perform ad hoc analytics to identify business critical trends and insights from data</li><li>
Tell cohesive and compelling stories with data and deliver effective presentations of findings to stakeholders</li><li>
Work with BI Engineers to create analytical tools that allow users to explore data and surface insights on their own</li><li>
Collaborate with Data Scientists and Machine Learning engineers on advanced analytics projects</li></ul><h3 class="jobSectionHeader"><b>
What We're Looking For</b></h3><ul><li>
5+ years of work experience, including 3+ years in business intelligence or related data &amp; analytics fields</li><li>
3+ years of experience working in a fast-paced, data-rich environment</li><li>
Proficiency in SQL in a big data environment and a strong ability to wrangle and analyze data, with bonus points for familiarity with Python</li><li>
Strong understanding of data modeling practices and techniques</li><li>
Experience with BI tools such as Looker (preferred) or Tableau</li><li>
Familiarity with data science concepts is preferred</li></ul><div>
Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.</div><div><b>
As a member of our team, you&rsquo;ll enjoy:</b></div><div></div><div><b><br>
401(k) Matching:</b> We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year.</div><div></div><div><b><br>
Professional Growth: </b>Get an annual Learning &amp; Development stipend once you&rsquo;ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day.</div><div></div><div><b><br>
Parental Leave &amp; Planning:</b> When you become a new parent, you&rsquo;re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.)</div><div></div><div><b><br>
Fertility Support:</b> You&rsquo;ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide a stipend towards fertility preservation. You and your spouse/domestic partner are both eligible.</div><div></div><div><b><br>
Date Stipend:</b> All Hinge employees receive a $100 monthly stipend for epic dates&ndash; Romantic or otherwise. Hinge Premium is also free for employees and their loved ones.</div><div></div><div><b><br>
ERGs:</b> We have eight Employee Resource Groups (ERGs)&mdash;Asian, Unapologetic, Disability, LGBTQIA+, Raices, Women/Nonbinary, Parents &mdash;that hold regular meetings, host events, and provide dedicated support to the organization &amp; its community.</div><div></div><div><b><br>
At Hinge, our core values are&hellip;</b></div><div></div><div><b><br>
Authenticity:</b> We share, never hide, our words, actions and intentions.</div><div></div><div><b><br>
Courage:</b> We embrace lofty goals and tough challenges.</div><div></div><div><b><br>
Empathy:</b> We deeply consider the perspective of others.</div><div></div><div><b><br>
Diversity inspires innovation</b></div><div></div><div><br>
Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds.</div><div></div><div><b><i><br>
If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know.<br>
</i></b></div><div></div><br>
<div><i>#Hinge</i></div></div>

Senior Data Analyst

Realign

<div><p>Job Type: Contract</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Role : Data Migration Specialist</b></div><div><div><b>
Location : Remote</b></div></div><div></div><div><div><b><br>
JD :</b></div></div><div></div><div><ul><li><br>
 10 to 12 years of Data migration and data architect experience.</li></ul></div><div><ul><li> Able to capture requirements from source and target applications</li><li> Able to create and understand data relationships</li><li> Experience in handling data exports from SQL servers, Postgres and file systems</li><li> Experience on data profiling, data cleansing and data mapping</li><li> Able to lead team of data architect, data analyst and data engineer to develop data extraction pipelines</li></ul></div><p></p>
<p>Required Skills</p>
<p>ANNOTATION SPECIALIST</p></div>

Data Migration Specialist-5

Hunter Douglas

<div><div><p>Hunter Douglas is the world&rsquo;s leading manufacturer of window coverings and a major manufacturer of architectural products. We are a brand that you know and trust. With more than 100 years of innovation, we&rsquo;ve defined our industry with proprietary products that deliver revolutionary style and functionality and can be found in millions of homes and commercial buildings globally.</p>
<p>
We are searching for candidates that are driven, intelligent, creative, and entrepreneurial. By offering challenging and accelerated opportunities for growth, powered by a shared hunger for success, we create a space for your career to thrive. In return for your expertise, we are committed to providing competitive and robust total compensation and benefit packages to ensure you feel valued. Our dream is to become the fastest growing, most loved, window covering company in the world. <i>What&rsquo;s yours?</i></p></div><p><b>
Position Overview</b></p>
<p>
We are seeking a strategic, detail-oriented, and results-driven Support Analytics Analyst to support business intelligence and analytics efforts across Finance, Human Resources, and Customer Support functions. This individual contributor role will play a key part in transforming data into meaningful insights that enhance decision-making, operational efficiency, and organizational alignment.</p>
<p>
The ideal candidate is highly skilled in Power BI, fluent in SQL and Excel, and experienced in creating reporting tools and dashboards that help stakeholders understand performance, identify trends, and drive improvements. They are curious, analytical, and passionate about enabling data-driven decisions through clarity and collaboration.</p>
<p><b>
What you'll do</b></p>
<ul>
<li><b>Deliver Business Insights</b>: Translate complex, large-scale data into clear insights and actionable recommendations that support revenue, profitability, and strategic goals.</li>
<li><b>Dashboard &amp; Reporting Development</b>: Design, build, and govern automated dashboards and reporting tools using Power BI, SQL, and Excel to enable effective decision-making.</li>
<li><b>Performance Monitoring &amp; KPI Tracking</b>: Support the development and tracking of key performance indicators (KPIs); provide insights to benchmark performance and drive accountability across functional teams.</li>
<li><b>Data Management &amp; Integration</b>: Extract, clean, and analyze data using tools such as Google BigQuery and Excel; partner with IT and data engineering teams to ensure data quality, model performance, and scalable infrastructure.</li>
<li><b>Cross-Functional Collaboration</b>: Partner with stakeholders across Finance, HR, Customer Support, and internal BI teams to understand business needs and provide analytic support for planning, reporting, and process improvement initiatives.</li>
<li><b>Problem Solving &amp; Root Cause Analysis</b>: Analyze data to identify operational issues or improvement areas; conduct root cause analysis and risk assessments to inform solutions.</li>
<li><b>Communication &amp; Data Storytelling</b>: Document and communicate data findings clearly, translating technical insights into accessible, non-technical language for business stakeholders.</li>
<li><b>Enablement &amp; Governanc</b>e: Promote data literacy and self-service BI across the organization, ensuring reporting processes are accurate, timely, and aligned with business needs.</li>
<li>All other duties as assigned</li>
</ul>
<p><b>Who you are</b></p>
<ul>
<li>Bachelor&rsquo;s degree in finance, information systems, mathematics, business analytics, or a related quantitative field</li>
<li>2+ years of experience in analytics, reporting, or business intelligence roles</li>
<li>Advanced proficiency in Power BI, including DAX, Power Query (M), and dashboard design</li>
<li>Solid knowledge of SQL and Excel with experience querying large datasets</li>
<li>Experience working with data from HR, Finance, or Customer Support systems is a plus</li>
<li>Proven ability to synthesize data into compelling stories and business cases</li>
<li>Strong communication and presentation skills, with a collaborative, growth-led and business-partnering mindset</li>
<li>Strong communication skills, with the ability to explain data and analysis clearly to both technical and non-technical stakeholders</li>
<li><b>Detail &amp; results-oriented, with the ability to manage multiple priorities in a fast-paced, matrixed environment</b></li></ul><br>
<p></p>
<p><b>
What's in it for you</b></p>
<ul>
<li>Annual base salary range: $95,000 - $100,000</li>
<li>Bonus target range: 20%</li>
<li>Generous benefits package including medical, dental, vision, life, disability</li>
<li>A company culture that prioritizes internal development and professional growth</li>
<li>Time off with pay</li>
<li>401(k) plan with a degree of employer matching</li>
<li>Paid parental leave</li>
<li>Wellness programs and product discounts</li>
</ul>
<p><i>Please note, all offers presented to candidates are carefully crafted to ensure market competitiveness, equity, and reflect the individual candidate&rsquo;s education, experience, skills and potential.</i><br>
<i>Hunter Douglas is an Equal Opportunity Employer and complies with applicable employment laws. EOE/M/F/Vet/Disabled are encouraged to apply.</i></p>
<p><i>
#LI-VA1</i></p>
<p><i>
#LI-hybrid</i></p><div><p><i>
By submitting your application below, you are providing your prior consent to receive SMS messages to notify you of any updates to your application status and to engage in discussion throughout your application process. You can cancel the SMS service at any time. Just text &ldquo;STOP&rdquo; to any of our texts to unsubscribe. Message &amp; data rates may apply. Message frequency may vary. If you have any questions regarding privacy, please read our privacy policy, </i><i>https://www.hunterdouglas.com/privacy-policy</i><i> or terms of use </i><i>https://www.hunterdouglas.com/terms-of-use</i></p></div></div>

Sr. Support Analytics Analyst

Contact Discovery Services

<div><p><b>Digital Forensic Analyst</b><br>
<b>Contact Discovery Services - Washington, DC</b><br>
Location: Remote<br>
Start Date: Negotiable<br>
<br>
A leading eDiscovery technology and consulting firm headquartered in Washington, DC is looking for a qualified and experienced Digital Forensic Analyst. We are seeking a motivated individual with a strong interest in the legal and technology fields, excellent organizational skills, and a passion for delivering top-notch service to our clients. This is a great opportunity to gain valuable experience in a fast-paced and dynamic industry. This position will include travel for on-site collection efforts as well as an in-office presence at the primary firm office which includes the forensics lab and data center.<br>
<br>
<b>DUTIES OF THE POSITION:</b></p><ul><li>
Perform forensic data collections and forensic analysis in both on-site and remote capacity</li><li>
Coordinate directly with legal teams/client IT departments to understand project scope</li><li>
Maintain forensic tool set by staying current on version updates and new options in the market</li><li>
Work closely with project management and other team members on completing complex projects in a fast pace, deadline driven environment</li><li>
Assist in developing, documenting, and refining procedures to accomplish discovery process requirements</li><li>
Manage all chain of custody best practices associated with the rules of evidence</li><li>
Consistently adhere to standard operating procedures</li><li>
Perform quality checks on work product prior to delivering to the client</li><li>
Complete additional duties assigned by manager including general IT functions</li></ul><br>
<b>
EXPERIENCE &amp; QUALIFICATIONS:</b><br>
<ul><li>
Minimum of an undergraduate degree, preferably in Digital Forensic Science or Computer Science/Engineering</li><li>
3+ years of relevant experience in where the analyst understands the forensic lifecycle and can properly perform scoping activities, evidence acquisitions on a range of devices, and execute forensic analysis at an intermediate level</li><li>
Experience using industry standard forensic tools such as Axiom, EnCase, Cellebrite, FTK Imager, Digital Collector</li><li>
General understanding of Mac/Windows filesystems, mobile devices, and encryption</li><li>
Experience preserving desktops, laptops, mobile devices/tablets, servers, both cloud and on-premise email implementations, nontraditional cloud data sources, social media, etc. in a forensically sound manner</li><li>
Ability to communicate effectively and tactfully in both verbally and in written format to team members and technical/non-technical clients</li><li>
Ability to work extended hours when necessary to ensure client deadlines are met</li><li>
Ability to demonstrate superior organizational skills with an acute attention to detail</li><li>
Must be willing to travel regularly on short notice; must have valid passport for occasional international travel</li><li>
Must be an energetic self-starter who can work within a team environment but also independently as the situation requires</li><li>
Ability to document forensic workflows based on sound industry practice</li><li>
Willingness to develop/train other team members to increase the group&rsquo;s overall knowledge base as well as cultivate secondary resources to assist in larger collection events</li><li>
Strong troubleshooting skills coupled with the ability to solution on the fly to solve complex problems</li></ul><br>
<br>
<b>THE FOLLOWING SKILLS ARE PREFERRED BUT NOT REQUIRED:</b><ul><li>
Understanding of the electronic discovery reference model (EDRM)</li><li>
Possess at least one industry standard certification (EnCE, CCE, CCFE, GCFE, GCFA, CCO, CCPA, CCME, etc.)</li><li>
General knowledge of litigation support applications (e.g. Relativity, Concordance, Nuix, LAW PreDiscovery, etc.)</li><li>
Experience working with structured data exported from various platforms including analysis, custom scripting, and data manipulation to develop reports for client use</li><li>
Understanding of (Robo/Rich) copy tools, BAT (PowerShell) scripting, and Active Directory</li><li>
Experience with scripting, programming/coding, database languages (SQL, VB, HTML, Access)</li></ul><p><b><br>
SALARY RANGE: </b>$65,000.00 - $85,000.00<br>
<br>
<b>ABOUT CONTACT:
</b><br>
Contact Discovery Services delivers best-in-class service to many Fortune 100/500 companies. Our growth is driven by investing in people and technologies, ensuring our customers have access to the highest level of customer service and the most qualified resources. Our team members are comprised of talented engineers, analysts, and project managers from all walks of life. We concentrate on engineering &ldquo;outside-the-box&rdquo; solutions to help organize discovery so our clients can focus on developing case strategy and leaving the heavy lifting to us. Employees are encouraged to actively participate in the development of new ideas, technology, and processes to ensure our customers receive the highest level of service. We offer competitive benefits, work schedule flexibility, and coordinate various company activities throughout the year. If you are looking to be part of an exciting, fast-paced environment then we want to hear from you.</p><p></p><p>
</p><p>BCKzS5CgxM</p></div>

Digital Forensic Analyst

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AWS has the most services and more features within those services, than any other cloud provider&ndash;from infrastructure technologies like compute, storage, and databases&ndash;to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things. AWS Platform is the glue that holds the AWS ecosystem together. Whether its Identity features such as access management and sign on, cryptography, console, builder &amp; developer tools, and even projects like automating all of our contractual billing systems, AWS Platform is always innovating with the customer in mind. The AWS Platform team sustains over 750 million transactions per second.
<br>
<br>
About the Team. Would you like to join the team that protects the global AWS platform from fraud? Do you enjoy thinking like a fraudster and using your technical skills to help detect &amp; mitigate AWS accounts from being compromised? If so, AWS Fraud Prevention has an exciting opportunity for you.<br>
<br>
The AWS Fraud Prevention Compromise vertical is responsible for detecting &amp; mitigating AWS account compromise. You&rsquo;ll be part of a team of Data Scientists, Investigations Analysts, and Technical &amp; non-Technical Program Managers. The team&rsquo;s goal is to identify and neutralize fraudsters from compromising AWS customers&rsquo; accounts.<br>
<br>
About the Role. As a Business Analyst, you will work closely with Data Scientists to monitor the flavor/ trend of compromise on AWS worldwide and leverage your analytical and data skills to deep dive on a myriad of fraud activity. You will be at the forefront of keeping abreast of trends and fraud issues impacting the Cloud industry to ensure AWS is leading the curve in identifying, mitigating and preventing fraud attacks. As a Business Analyst your responsibilities will include:<br>
<br>
<ul><li>Identify new and emerging patterns of fraud and compromise and proactively take ad hoc actions to improve efficiency and reduce time to identify new fraud techniques, tactics and procedures.</li></ul><br>
<ul><li>Use statistical analysis to segment customer behavior and develop targeted solutions to prevent sophisticated fraud activity.</li></ul><br>
<ul><li>Report on daily fraud trends and cluster characteristics, perform deep dives and write summaries.</li></ul><br>
<ul><li>Analyze emerging fraud MOs, ad hoc mitigation actions e.g. rule performance trends and communicate it to larger fraud community. Partner with Data Scientists to build long-term counter protections.</li></ul><br>
<ul><li>Contribute and/or lead special projects which reduce fraud related losses, while maintaining focus on a positive customer experience.</li></ul><br>
<ul><li>Design and influence operational best practices within the AWS Fraud Prevention Compromise team.</li></ul><br>
<ul><li>Work with cross-functional teams across Amazon/AWS for collaboration on fraud risks and preventative measures to mitigate fraud risk.</li></ul><br>
<ul><li>Work with stakeholders to drive process improvements that will impact internal and external customers.</li></ul><br>
Learn and Be Curious. We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.<br>
<br>
Inclusion and Diversity. Our team is diverse! We drive towards an inclusive culture and work environment. We are intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Team members are active in Amazon&rsquo;s 10+ affinity groups, sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. These range from groups such as the Black Employee Network, Latinos at Amazon, Indigenous at Amazon, Families at Amazon, Amazon Women and Engineering, LGBTQ+, Warriors at Amazon (Military), Amazon People With Disabilities, and more.<br>
<br>
Learn more about Amazon on our Day 1 Blog: https://blog.aboutamazon.com<br>
<br>
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates.<br>
<br>
Basic qualifications<br>
<br>
<ul><li>Bachelor's Degree, preferably Bachelor's Degree, preferably in an analytical field e.g. Economics, Operations, Business, Mathematics, Statistics, Finance or in another related field.</li><li>3+ years of experience working in Analytics/Business Intelligence environment.</li><li>Ability to apply analytical, technical, statistical and quantitative skills to tackle problems.</li><li>Proficiency in extracting and processing data using SQL.</li><li>Ability to use scripting languages, Excel or Tableau for data visualization and reporting.</li><li>Detail-oriented and must have an aptitude for solving unstructured problems. The role will require the ability to extract data from various sources and to design/construct/execute complex analyses to come up with data/reports that help solve the business problems.</li><li>Excellent oral and written communication skills.</li></ul><br>
Preferred qualifications<br>
<br>
<ul><li>Basic experience with scripting languages such as Python and Bash.</li><li>Experience working with large scale databases and relational data set solutions.</li><li>Experience working with AWS technologies (EC2, CloudTrail, S3, SageMaker, etc.).
</li><li>Demonstrated skill and passion for operational excellence.</li><li>Previous work as an Analyst in the context of fraud analytics or risk scoring.</li><li>Ability to work in a fast-paced, ambiguous environment while prioritizing and managing multiple responsibilities.</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of tax, finance or a related analytical field experience</li><li>5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience</li><li>3+ years of business or financial analysis experience</li><li>Bachelor's degree or equivalent</li><li>Experience defining requirements and using data and metrics to draw business insights</li><li>Experience with Excel</li><li>Experience with SQL</li><li>Experience making business recommendations and influencing stakeholders</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $66,900/year in our lowest geographic market up to $143,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Fraud Prev Science Analyst , AWS Fraud Prevention

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AWS has the most services and more features within those services, than any other cloud provider&ndash;from infrastructure technologies like compute, storage, and databases&ndash;to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things. AWS Platform is the glue that holds the AWS ecosystem together. Whether its Identity features such as access management and sign on, cryptography, console, builder &amp; developer tools, and even projects like automating all of our contractual billing systems, AWS Platform is always innovating with the customer in mind. The AWS Platform team sustains over 750 million transactions per second.
<br>
<br>
About the Team. Would you like to join the team that protects the global AWS platform from fraud? Do you enjoy thinking like a fraudster and using your technical skills to help detect &amp; mitigate AWS accounts from being compromised? If so, AWS Fraud Prevention has an exciting opportunity for you.<br>
<br>
You&rsquo;ll be part of a team of Data Scientists, Investigations Analysts, and Technical &amp; non-Technical Program Managers. The team&rsquo;s goal is to identify and neutralize fraudsters from attempting to consume AWS resources for malicious intent.<br>
<br>
About the Role. As a Business Analyst, you will work closely with Data Scientists to monitor the flavor/ trend of compromise on AWS worldwide and leverage your analytical and data skills to deep dive on a myriad of fraud activity. You will be at the forefront of keeping abreast of trends and fraud issues impacting the Cloud industry to ensure AWS is leading the curve in identifying, mitigating and preventing fraud attacks. As a Business Analyst your responsibilities will include:<br>
<br>
<ul><li>Identify new and emerging patterns of fraud and compromise and proactively take ad hoc actions to improve efficiency and reduce time to identify new fraud techniques, tactics and procedures.</li><li>Use statistical analysis to segment customer behavior and develop targeted solutions to prevent sophisticated fraud activity.</li><li>Report on daily fraud trends and cluster characteristics, perform deep dives and write summaries.</li><li>Analyze emerging fraud MOs, ad hoc mitigation actions e.g. rule performance trends and communicate it to larger fraud community. Partner with Data Scientists to build long-term counter protections.</li><li>Contribute and/or lead special projects which reduce fraud related losses, while maintaining focus on a positive customer experience.</li><li>Design and influence operational best practices within the AWS Fraud Prevention Compromise team.</li><li>Work with cross-functional teams across Amazon/AWS for collaboration on fraud risks and preventative measures to mitigate fraud risk.</li><li>Work with stakeholders to drive process improvements that will impact internal and external customers.</li></ul><br>
Key job responsibilities<br>
<ul><li>Identify new and emerging patterns of fraud and compromise and proactively take ad hoc actions to improve efficiency and reduce time to identify new fraud techniques, tactics and procedures.</li><li>Use statistical analysis to segment customer behavior and develop targeted solutions to prevent sophisticated fraud activity.</li><li>Report on daily fraud trends and cluster characteristics, perform deep dives and write summaries.</li><li>Analyze emerging fraud MOs, ad hoc mitigation actions e.g. rule performance trends and communicate it to larger fraud community. Partner with Data Scientists to build long-term counter protections.</li><li>Contribute and/or lead special projects which reduce fraud related losses, while maintaining focus on a positive customer experience.</li><li>Design and influence operational best practices within the AWS Fraud Prevention Compromise team.</li><li>Work with cross-functional teams across Amazon/AWS for collaboration on fraud risks and preventative measures to mitigate fraud risk.</li><li>Work with stakeholders to drive process improvements that will impact internal and external customers.</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience</li><li>3+ years of business or financial analysis experience</li><li>Bachelor's degree or equivalent</li><li>Experience defining requirements and using data and metrics to draw business insights</li><li>Experience with Excel</li><li>Experience with SQL</li><li>Experience making business recommendations and influencing stakeholders</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in customer segmentation, customer behavior analysis, conjoint/trade-off modeling</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $66,900/year in our lowest geographic market up to $143,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Fraud Prev Science Analyst , AWS Payments and Fraud Science

<div><b>Senior Digital Forensic Analyst</b><br>
<b>Contact Discovery Services - Washington, DC</b><br>
Location: Remote<br>
Start Date: Negotiable<br>
<br>
A leading eDiscovery technology and consulting firm headquartered in Washington, DC is looking for a qualified and experienced Senior Digital Forensic Analyst. We are seeking a motivated individual with a strong interest in the legal and technology fields, excellent organizational skills, and a passion for delivering top-notch service to our clients. This is a great opportunity to gain valuable experience in a fast-paced and dynamic industry. The ideal candidate is proactive with excellent communication skills, a problem solver, and consistently reliable. This position involves both domestic and international travel for on-site collection efforts. Additionally, this position offers a hybrid work arrangement, combining remote work with in-office presence at our primary office in Washington, DC, where our forensics lab and data center are located.<br>
<br>
<b>DUTIES OF THE POSITION:</b><ul><li>
Independently perform complex forensic data collections and analysis in both on-site and remote capacity</li><li>
Ability to consult with and coordinate directly with legal teams/client IT departments to establish and define project scope and forensic workflows</li><li>
Maintain forensic tools and technologies by staying informed on version updates and new options in the market</li><li>
Work closely with project management and other team members on completing complex projects in a fast pace, deadline driven environment</li><li>
Contribute to the development, documentation, and enhancement of procedures to meet discovery process requirements.
</li><li>Provide clients with accurate project estimates and identify areas for upselling to increase department revenue</li><li>
Assist leaderships&rsquo; vision through process improvement, innovation, leadership, and industry trends</li><li>
Consistently contribute and adhere to standard operating procedures (SOPs), ensuring they are regularly reviewed, updated, and followed.</li><li>
Perform quality control checks on work product prior to delivering to the client</li><li>
Complete additional duties assigned by manager</li><li>
Provide guidance and training to junior forensic team members and other team members</li></ul>
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<b>EXPERIENCE &amp; QUALIFICATIONS:</b><ul><li>
Minimum of an undergraduate degree, preferably in Digital Forensic Science or Computer Science/Engineering</li><li>
6+ years of relevant experience in where the analyst understands the forensic lifecycle and can properly perform scoping activities, evidence acquisitions on a range of devices, and execute forensic analysis at an expert level</li><li>
Experience using industry standard forensic tools such as Axiom, EnCase, Cellebrite, FTK Imager, Digital Collector</li><li>
General understanding of Mac/Windows filesystems, mobile devices, and encryption</li><li>
Experience preserving desktops, laptops, mobile devices/tablets, servers, both cloud and on-premise email implementations, nontraditional cloud data sources, social media, etc. in a forensically sound manner</li><li>
Ability to communicate effectively and tactfully in both verbally and in written format to team members and technical/non-technical clients</li><li>
Ability to work extended hours when necessary to ensure client deadlines are met</li><li>
Must be willing to travel regularly on short notice; must have valid passport for occasional international travel</li><li>
Must be an energetic self-starter who can work within a team environment but also independently as the situation requires</li><li>
Ability to document forensic workflows based on sound industry practice</li><li>
Willingness to develop/train other team members to increase the group&rsquo;s overall knowledge base as well as cultivate secondary resources to assist in larger collection events</li><li>
Understanding of the electronic discovery reference model (EDRM)</li><li>
Ability to submit time entries on a regular basis to meet performance metrics</li><li>
Strong troubleshooting skills coupled with the ability to solution on the fly to solve complex problems</li></ul>
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<b>THE FOLLOWING SKILLS ARE PREFERRED BUT NOT REQUIRED:</b><ul><li>
Possess at least one industry standard certification (EnCE, CCE, CCFE, GCFE, GCFA, CCO, CCPA, CCME, etc.) and demonstrate a commitment to ongoing professional development and learning.</li><li>
 Extensive knowledge of litigation support applications (e.g. Relativity, Nuix, Google Workspace including Vault, Microsoft 365 including Purview, etc.)</li><li>
Experience working with structured data exported from various platforms including analysis, custom scripting, and data manipulation to develop reports for client use</li><li>
Experience with scripting, programming/coding, database languages (SQL, VB, HTML, Access)</li></ul><br>
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COMPENSATION</b>: Competitive salary starting at $100,000 with the potential for higher compensation based on experience, qualifications, and skills.<br>
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<b>ABOUT CONTACT:
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Contact Discovery Services delivers best-in-class service to many Fortune 100/500 companies. Our growth is driven by investing in people and technologies, ensuring our customers have access to the highest level of customer service and the most qualified resources. Our team members are comprised of talented engineers, analysts, and project managers from all walks of life. We concentrate on engineering &ldquo;outside-the-box&rdquo; solutions to help organize discovery so our clients can focus on developing case strategy and leaving the heavy lifting to us. Employees are encouraged to actively participate in the development of new ideas, technology, and processes to ensure our customers receive the highest level of service. We offer competitive benefits, work schedule flexibility, and coordinate various company activities throughout the year. If you are looking to be part of an exciting, fast-paced environment then we want to hear from you.<br>
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Senior Digital Forensic Analyst

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