​This is a full-time, remote Technical Customer Support Engineer role at ClickHouse, a fast-growing company specializing in real-time analytics and distributed databases. This role is focused on the Eastern Time Zone (EST) to support North American customers and is a customer-facing position requiring strong technical depth and communication skills. The role spans traditional support, pre-sales technical assistance (POCs), community engagement, and knowledge creation.

• ​Location: Remote, must be located in the United States or Canada (Eastern Time Zone required).
• ​Focus: Providing first-line technical support, professional response, and on-call coverage for complex issues related to ClickHouse Cloud and ClickHouse open-source.
• ​Communication Requirement: Strong written and verbal English and German communication skills.
• ​Support Model: 24x7 Support in a global, distributed environment (requires presence/availability according to scheduling).
• ​Perks: Stock options, flexible time off, and a $500 home office setup allowance.

​What You Will Be Doing: Technical Guidance and Knowledge Sharing

​The engineer will own a variety of tasks from direct customer interaction and case management to content development and cross-functional partnership.

• ​Customer Support: Supporting and guiding users, customers, and prospects via cases, chat, Slack, community, and virtual meetings. Delivering excellent customer service and providing on-call coverage within required SLAs.
• ​Pre- and Post-Sales Support: Partnering with the Go-To-Market team on deeply technical aspects of Proofs-of-Concept (POCs), in addition to post-sales case resolution.
• ​Knowledge Creation: Develop solutions that can be shared via documentation, knowledge base, blogs, meetups, webinars, and training.
• ​Collaboration & Feedback: Work closely with global Support Services, Engineering, Go-to-Market, and Product Management teams to help define functionality required by users and customers.
• ​Mentorship: Assist with mentoring, training, and sharing knowledge with colleagues, users, and customers.

​Required Technical Breadth and Qualifications

​The role requires experience in distributed systems and database administration, coupled with specific language proficiency.

• ​Domain Expertise: Technical breadth and depth in ClickHouse open-source or ClickHouse Cloud, or in domains relevant to ClickHouse, such as: SQL databases, OLAP, cloud-native SaaS, distributed systems.
• ​Prior Experience: Previous technical experience in roles such as Support Engineer, Consultant, Database Administrator, Site Reliability Engineer, Solutions Engineer, Software Engineer, and/or Systems Engineer.
• ​Language Skills: Strong written and verbal English and German communication skills.
• ​Schedule: Be present and available according to the scheduling required to deliver high-quality 24x7 Support in a global, distributed environment.
• ​Soft Skills: Mindset of teamwork, global engagement, empathy, and solving challenging problems. Self-driven, curious, and eager to continuously learn and grow.

​Bonus Points

• ​Experience with ClickHouse.
• ​Experience with OSS and open-source technologies.
• ​Experience with Azure, GCP or AWS.
• ​Experience with data pipelines such as Kafka, Kinesis, Spark, RabbitMQ, or others.

​This is a full-time Senior Technical Support Engineer role at Chainguard, focusing on providing world-class support for their products, specifically Chainguard Images. This is a highly technical role that goes beyond basic support, involving complex troubleshooting of issues related to modern cloud-native tools, security, and the software supply chain.

• ​Location: Remote, United States.
• ​Experience Required: 5+ years supporting enterprise customers; 3+ years with Linux, Docker, and Kubernetes.
• ​Focus: Triage, investigation, and annihilation of complex customer issues involving containers, Kubernetes, DevOps tools, and software supply chain security.
• ​Key Duty: Participating in an on-call rotation for after-hours, weekend, and holiday support.

​What You'll Do: Technical Investigation and Customer Advocacy

​The engineer serves as the primary technical interface for complex product issues, acting as an investigator, translator, and liaison between the customer and Engineering.

• ​Frontline & Investigation: Triage, investigate, manage, and annihilate complex customer issues involving Chainguard Images.
• ​Escalation & Advocacy: Engage the Engineering team when necessary, and push bugs, feature requests, and issues up to Engineering and Go-To-Market (GTM) teams.
• ​Communication: Keep customers happy and informed, and explain technical concepts clearly to both technical and non-technical audiences.
• ​Documentation: Create detailed write-ups of new issues and contribute helpful Knowledge Base articles.
• ​Autonomy: Prioritize your own queue, drive clarity in communication, and proactively guide issues to resolution.
• ​Team Contribution: Participate in an on-call rotation and actively seek new challenges and share knowledge (learn, teach, repeat).

​Required Technical Expertise and Qualifications

​The successful candidate must possess deep experience in containerization, cloud environments, and the modern DevOps toolchain.

• ​Core Experience:
  • ​5+ years supporting enterprise customers.
  • ​3+ years with Linux, Docker, and Kubernetes.
• ​DevOps Toolchain: Comfortable in the DevOps environment, specifically experienced with CI/CD, GitHub, Helm Charts, Terraform, and Open Source.
• ​Cloud Platforms: Experience with AWS, Azure, or GCP (AWS EKS experience is a plus).
• ​Communication: Must deliver top-tier customer experiences with stellar written and verbal communication.
• ​Security (Kudos): Extra credit for experience with security frameworks, software supply chain security, or vulnerability scanning.
• ​Certifications (Kudos): Extra credit for CKA, CKAD, CKS, or KCSA certifications.
• ​Background: Bachelor’s degree (STEM preferred) or equivalent experience. Startup experience is a plus.

​This is a full-time, remote Triage/Tier 1 IT Support Engineer role at Worksighted – a Thrive Company, an IT services provider. This is a critical first line of support role, primarily responsible for the triage, coordination, and dispatching of incoming support requests via phone, chat, and email. The role focuses heavily on monitoring incoming tickets, adhering to SLAs, maintaining high CSAT, and resolving basic technical issues.

• ​Location: Remote.
• ​Experience Required: At least one (1) year of experience in IT support, service desk, or a similar technical support role.
• ​Education: High School Diploma or GED.
• ​Focus: First-line customer communication, ticket accuracy/prioritization/dispatching (using ConnectWise), resolving basic technical issues, and ensuring SLA adherence.

​What You’re Accountable For: Triage, Dispatch, and SLA Adherence

​The role acts as the gatekeeper and coordinator for the entire service process, ensuring every request is accurately routed and followed through.

• ​Triage and Dispatch: Receiving, assessing, and triaging incoming support requests (phone, chat, email) to accurately identify the nature, scope, and urgency. Dispatching service requests to the appropriate teams.
• ​Ticket Management: Proactively escalating and tracking high-priority tickets through to resolution. Routinely reviewing service boards to verify ticket accuracy (agreement, priority, contact details) and promptly escalating tickets in 'Customer Responded' or 'Action Required' statuses.
• ​Resolution and Documentation: Resolving basic customer issues/tickets. Ensuring all customer information is thoroughly and accurately captured during ticket creation and the dispatching process. Accurately documenting time, work performed, and all client communications.
• ​Performance Metrics: Consistently meeting or exceeding key performance indicators (KPIs) and maintaining a high customer satisfaction (CSAT) rating. Following all established service level agreements (SLAs).
• ​Service Improvement: Coordinating with other departments to continuously improve the support experience and assisting in communicating known issues and bundling related tickets to streamline service.

​Required Qualifications and Technical Tools

​The successful candidate needs foundational IT knowledge, strong organizational skills, and experience with service desk platforms.

• ​Experience: At least one (1) year in IT support/service desk.
• ​Foundational Knowledge: A foundational understanding of IT concepts, including hardware, software, networking, and common troubleshooting methods.
• ​Service Management Knowledge: Familiarity with SLAs and performance-based service environments.
• ​Soft Skills: Customer-first orientation, strong decision-making skills, detail-oriented, organized, and the ability to effectively prioritize.
• ​Technical Tools Used:
  • ​ConnectWise (likely for ticket management/PSA).
  • ​Microsoft Office Suite / Microsoft 365.
  • ​Active Directory.
  • ​3CX (likely for phone/communications).

​This is a full-time, fully remote Technical Support Engineer L3 role within the Customer Operations Department at Sumsub. Sumsub's mission is focused on building a secure, accessible, and inclusive digital world, fighting fraud and making online services safer. The role is offered within a flexible, remote-first, and globally distributed culture.

• ​Location: Fully Remote.
• ​Department: Customer Operations.
• ​Focus: Providing expert-level technical support, likely dealing with complex issues related to Sumsub’s security and identity verification platform.
• ​Hiring Stages: TA screening -> Hiring Manager Interview -> Final Interview.

​What Sumsub Offers: Culture, Flexibility, and Growth

​Sumsub emphasizes a trust-based, flexible work environment with strong benefits and a mission-driven focus.

• ​Remote-First & Flexibility: Truly remote-first with no mandatory office days or attendance trackers. Offers true flexibility with working hours, adapting to individual needs while staying productive and in sync with the team.
• ​Time Off: Generous time off, including:
  • ​Your birthday is a holiday.
  • ​10 personal days each year.
  • ​7 sick days without paperwork.
  • ​Extra time off for Christmas and New Year.
• ​Impact & Mission: Work that matters, focused on fighting fraud and building a digital world that is secure, accessible, and inclusive.
• ​Compensation & Benefits: Fair and transparent pay, benchmarked to the market. Comprehensive setup and access to tools/hardware.
• ​Growth & Collaboration: Clear goals, open feedback, and personal development plans with covered learning opportunities/events. Fully covered team offsites a few times a year for in-person collaboration.

​This is a full-time Remote Engineer - ICPMS Support role at Agilent, providing remote post-sales technical support for analytical instrumentation. The role focuses specifically on ICPMS (Inductively Coupled Plasma Mass Spectrometry), addressing customer questions regarding hardware, software, and applications via remote diagnostics, telephone, chat, and internet collaboration. The successful candidate must be willing to eventually support advanced ICPMS products.

• ​Location: Remote (US and Canada customer base).
• ​Shift Requirement: Must work the Western Time Zone shift (8:00 AM to 5:00 PM PT).
• ​Pay Range: $50.62 - $79.09 per hour plus eligibility for bonus, stock, and benefits.
• ​Experience Required: 8+ years’ analytical instrumentation experience, including hardware and software.
• ​Education: Bachelor’s, Master’s, or other University degree in Chemistry, Biochemistry, Biology, Microbiology, or similar science-focused field highly preferred.
• ​Travel: Occasional travel for technical training and possibly customer site visits is required.

​Responsibilities: Remote Troubleshooting and Technical Consulting

​The Online Technical Support Engineer provides in-depth technical expertise to ensure timely and cost-effective problem resolution for customers.

• ​Technical Support: Provide in-depth technical support and remote troubleshooting of customers’ applications, using telephone, chat, and remote internet collaboration or e-Learning platforms.
• ​Product Focus: Support customers with questions regarding ICPMS for hardware, software, and some applications. Eventually expected to support Advanced level ICPMS products.
• ​Proactive Engagement: Leverage post-sales interactions with customers to probe and qualify further revenue opportunities and provide highly qualified leads to Agilent sales teams.
• ​Training & Travel: May support third-party products and must be able to travel occasionally for technical training.

​Required Qualifications and Skills

​The role demands extensive experience with analytical instruments, strong troubleshooting skills, and an alignment with the required time zone.

• ​Instrumentation Experience: 8+ years’ analytical instrumentation experience, including hardware and software.
• ​Product Specific Experience: Experience with ICPMS as a Field Service Engineer preferred. Agilent analytical instrumentation preferred.
• ​Core Skills: Strong logical troubleshooting skills.
• ​Scheduling: Must be available to work the Western Time Zone shift (8:00 AM to 5:00 PM PT).
• ​Education: Degree in a science-focused field (Chemistry, Biology, etc.) highly preferred.

​This is a full-time, entry-level Data Analyst I role at CorVel, a risk management solutions provider. The analyst is responsible for turning data into insights to inform decisions and drive profit across multiple departments. This role involves basic data cleaning, analysis, and reporting, working closely with senior team members and internal customers.

• ​Location: Remote or Hybrid (Based out of Irvine, CA 92614, USA).
• ​Pay Range: $65,436 – $98,982.
• ​Experience Required: 1–2 years of experience with data analysis.
• ​Education: College degree, preferably in a quantitative field (equivalent experience accepted).
• ​Focus: Basic data preparation, SQL querying, Power BI/dashboard assistance, supporting senior analysts, and working with internal customers across the organization.

​Essential Functions: Support, Analysis, and Reporting

​The Data Analyst I works under direction to deliver foundational analysis and support for executive-level decision-making.

• ​Data Preparation & Analysis: Performs basic data cleaning, analysis, and reporting under the direction of manager and/or senior team members. Analyzes results of collected data using statistical tools and provides ongoing reports.
• ​Reporting & Dashboards: Assists senior team members with producing dynamic, meaningful, clear, and informative reports and/or dashboards using standard business intelligence tools.
• ​Stakeholder Support: Works closely with internal customers to build relationships, continuously gaining a deeper understanding of relevant data and processes to build analytical solutions that meet business needs.
• ​Development Support: May assist with report development, specification design, and the facilitation of report testing.

​Required Knowledge & Skills

​The position requires foundational knowledge of key analytical tools, particularly SQL and Excel, and familiarity with a statistical programming language.

• ​SQL: Basic proficiency in SQL required with the ability to retrieve data using SELECT, WHERE, FROM queries and understand basic high-level relational database concepts like joins.
• ​BI Tools: Basic Power BI understanding and proficiency is required.
• ​Programming: Familiarity with at least one programming language required, such as R, STATA, MATLAB, Python, etc.
• ​Spreadsheets: Strong Microsoft Excel skills.
• ​Soft Skills: Strong analytical skills with attention to detail and accuracy. Excellent written and verbal communication skills. Ability to work both independently and within a team environment.

​This is a full-time, remote (United States) Data Analyst role at Clever, a venture-backed real estate technology company. This role, described as a Senior Data Analyst in the overview, will primarily support the marketing and public relations (PR) department by producing data-driven reports for public consumption. The analyst will also be key in internal analytics projects, focusing on residential real estate market trends, consumer finance, and building the internal analytics platform.

• ​Location: Remote, United States.
• ​Salary: $70,000 - $130,000.
• ​Experience Required: 3+ years of data analysis experience, ideally in multiple industries.
• ​Focus: Market research (surveys, custom trend analysis), public data reporting for PR/marketing, supporting non-data stakeholders, and contributing to data architecture discussions.
• ​Technical Skills: Proficiency with SQL, Python and/or R, and high proficiency with spreadsheets.

​Key Responsibilities: Public Insights and Platform Development

​The analyst will be instrumental in translating complex real estate data into accessible narratives for global readers while also enhancing internal data capabilities.

• ​Marketing & Public Data Analysis: Develop key analyses for the marketing team, including running and analyzing surveys, developing custom analyses of market trends using internal and external data, and supporting outreach projects.
• ​Stakeholder Communication: Help cross-functional teams maximize value from the internal analytics platform by effectively presenting data to non-data stakeholders.
• ​Data Product Collaboration: Collaborate with cross-functional teams to translate business requirements into reliable data products.
• ​Platform Evolution: Contribute to architecture discussions and help define the evolution of the data platform.
• ​Problem-Solving: Proactively propose alternative solutions, weighing risks and rewards thoughtfully.

​Qualifications and Technical Skills

​The role requires strong foundational technical skills in data manipulation and exceptional ability to communicate data insights clearly.

• ​Experience: 3+ years of data analysis experience.
• ​Technical Proficiency:
  • ​Proficiency with SQL, Python and/or R.
  • ​High proficiency with spreadsheets (v look ups, pivot tables).
• ​Communication: Strong written and verbal communication skills and the ability to present clear, concise data summaries to non-technical audiences.
• ​Nice to Have: Familiarity with Databricks.

​This is a full-time Senior Data Analyst role at Array, a remote-first financial innovation platform providing credit, identity, and privacy monitoring tools. This position is highly technical, focusing on partnering with Engineering and Product teams to solve deep technical challenges related to data quality, code, and system reliability within the fintech space.

• ​Location: Remote (USA or Canada).
• ​Compensation Transparency: $300 per day for the 2-day paid interview. $80 per hour for the 180-day contract/probationary period. (Full-time salary not listed).
• ​Reporting: Likely reports to the CEO or Data Lead.
• ​Hiring Process Note: Includes a 2-day paid interview technical assignment and a potential 180-day contract or probationary period.
• ​Focus: Tracing issues through pipelines/code, improving data reliability, technical documentation (Jira), and accelerating analysis using AI tools.

​You Will: Debugging, Reliability, and Technical Culture

​The Senior Data Analyst is expected to be deeply curious about system mechanics and drive technical clarity and reliability across product releases.

• ​Technical Debugging: Trace issues back through data pipelines or code to uncover why something isn't behaving as expected.
• ​System Reliability: Partner with engineers and product managers to make data and code more reliable, faster, and easier to understand.
• ​Technical Documentation: Write clear, concise Jira tickets explaining findings, fixes, and prevention methods.
• ​Culture Building: Help build a culture of technical curiosity—where asking why and testing assumptions is part of every release.
• ​AI Leverage: Instinctively use AI tools to think, build, and ship faster.
• ​Insight Generation: Develop data-driven insights that help improve user experience and drive conversion rates.

​Required Skills and Qualifications

​This role requires a unique blend of analytical rigor, coding literacy, and an entrepreneurial mindset for problem-solving.

• ​Technical Literacy:
  • ​Strong knowledge of SQL.
  • ​Familiarity with Python.
  • ​Experience digging into JSONs, logs, or API outputs to validate data flow.
  • ​Comfortable reading and reasoning about someone else’s code, identifying performance bottlenecks.
• ​Problem-Solving: The ability to turn ambiguous problems into clear next steps and a mindset that values being less wrong each time (humility and rigor).
• ​AI Mindset: A belief that AI is reshaping work, and the instinct to use it to accelerate tasks.
• ​Core Trait: A curiosity about how systems, code, and data work; a knack to pull things apart and see what’s really happening under the hood.

​This is a full-time, remote-first Product Data Analyst role at ElevenLabs, a rapidly growing research and product company defining the frontier of audio AI. The role is titled "Data Scientist focused on product growth" in the summary, indicating a deep analytical focus on driving business metrics. This is a high-impact, hands-on role dedicated to accelerating activation, retention, and revenue growth across their core Creative Platform used by millions of creators and marketers.

• ​Location: Remote-first (Anywhere from US East Coast to Europe, with office options in London, New York, Dublin, and Warsaw).
• ​Experience Level: Not explicitly stated by years, but requires Expertise in product analytics and a proven ability to independently shape the product roadmap.
• ​Focus: Product analytics, SQL/Python proficiency, A/B testing design/analysis, metric definition (retention, LTV, activation), and ensuring data quality/telemetry implementation.
• ​Culture: High-velocity, impact-driven, AI-first, with minimal bureaucracy.

​About the Role: Driving Growth and Shaping the Roadmap

​The analyst partners deeply with Product and Engineering to translate user engagement data into actionable insights and prioritized features.

• ​Growth Acceleration: Uncover and drive insights that accelerate activation, retention, and revenue growth across the Creative Platform.
• ​User Engagement Analysis: Partner with Product and Engineering to understand how users engage, where they drop off, and which experiences create long-term value (LTV).
• ​Metric Definition: Define and instrument key metrics that measure the health of the creator journey, identify growth levers, and help prioritize features and experiments.
• ​Experimentation Rigor: Proven ability to design and analyze A/B tests, ensuring statistical integrity and actionable results.
• ​Hands-on Ownership: Expected to be hands-on—implementing telemetry, diving into the codebase to debug logging issues, or implementing new tools as the data stack evolves.
• ​Required Product Sense: Strong product sense with an ability to put yourself in the shoes of users and derive actionable insights from qualitative and quantitative data.

​Required Technical Expertise

​The position requires a strong blend of product intuition and data science rigor, including proficiency in the core data analysis toolkit.

• ​Technical Core: Expertise in product analytics, with a strong foundation in SQL and Python and familiarity with analytics tools across the data stack.
• ​Key Metrics Knowledge: A deep understanding of key product metrics such as retention, activation, and LTV.
• ​Bonus Skills: Experience building data pipelines and dashboards is a bonus.

​This is a full-time, remote Data Services Analyst role at Candid, a nonprofit organization providing data and insights about the social sector. The role is a client-facing and technical position, focusing on delivering custom data services, insights, and reporting to both external and internal stakeholders. Key responsibilities include managing the end-to-end delivery of custom data extracts and building high-quality reporting and automation solutions.

• ​Location: Remote, United States.
• ​Schedule: 35-hour work week, Monday through Friday.
• ​Compensation: $45,000 - $73,000 (Adjusted based on locality, with NYC representing the high end).
• ​Experience Required: Minimum of 1–3 years of related experience.
• ​Focus: Custom data set delivery, client consultation, automation of processes, building technical frameworks for data delivery, dashboard development, and ensuring data consistency.
• ​Domain Knowledge (Plus): Knowledge of non-profit data or the non-profit sector is a big plus.

​Responsibilities: Custom Delivery, Automation, and Stakeholder Liaison

​The analyst acts as a data expert and consultant, bridging client needs with technical solutions while promoting internal efficiency.

• ​Custom Data Delivery: Deliver custom data sets to customers—working with the sales team to scope client needs, consulting on estimates, handling client communication, design, documentation, and delivery of custom data extracts, and providing post-delivery support.
• ​Solution Building: Build and maintain high-quality reporting and analysis solutions. Design, build, and maintain visualization dashboards for stakeholders.
• ​Automation & Efficiency: Increase organizational efficiencies through the design and implementation of automated processes wherever possible. Design, build, and maintain technical frameworks for consistent, quick delivery of data sets.
• ​Data Consistency: Accountable for building and maintaining Data Services product offerings and ensuring data consistency between Candid's subscription tools and reporting database.
• ​Collaboration & Review: Document and share developed code for peer review, and peer review other team members' work. Partner and collaborate with internal teams on cross-departmental projects.
• ​Stakeholder Management: Able to "translate" business needs to more technically oriented teammates and vice-versa. Partner with the sales team to deliver high customer satisfaction.

​Required Skills and Technical Experience

​The role requires strong SQL proficiency and foundational knowledge of data handling, with a preference for modern data and cloud tools.

• ​Core Technical Skills:
  • ​Proficient writing moderate to complex SQL working against large relational databases.
  • ​Ability to apply various mathematical calculations and statistical techniques to datasets.
• ​Experience (1–3 years): Experience in gathering requirements from stakeholders and providing data solutions that meet those needs.
• ​Preferred Tools/Skills (A Plus):
  • ​Experience in using SQL Server Tools such as SQL Integration Services, Reporting Services, Management Studio.
  • ​Demonstrated ability to write Python, C#, and related languages.
  • ​Experience with data visualization tools such as PowerBI and Tableau.
  • ​Experience with machine learning or natural language processing.
  • ​Experience with Azure DevOps for source and version control.
  • ​Experience with Snowflake and AWS for cloud computing.
• ​Soft Skills: Strong listener, professional in communications, able to work comfortably under minimal supervision, and possess a detail-oriented yet "big picture" approach.

This is a full-time Actuarial Data Analyst role at Florida Blue/GuideWell, focusing on providing essential data support for actuarial activities. The analyst is responsible for creating, reconciling, summarizing, and analyzing data used in various actuarial analyses. A critical component of this job involves supporting the month-end close process, requiring availability/on-call work during the first week of each month to manage data loads.

• ​Location: Remote, United States.
• ​Annualized Salary Range: $$75,700 - $123,000.
• ​Typical Annualized Hiring Range: $$75,700 - $94,600.
• ​Experience Required: 5+ years of related work experience in programming, database management, or data validation.
• ​Key Focus: Data reconciliation/analysis for Actuarial, month-end data loading, data process documentation, and troubleshooting technical data issues.
• ​Market Segments: Supporting Medicare, Individual, Local Group, and National Account Market Segments.

​Essential Functions: Reconciliation, Troubleshooting, and Close Support

​The analyst acts as the key data expert for the Actuarial team, ensuring data quality, consistency, and timely availability.

• ​Data Management & Analysis: Create, reconcile, summarize, and analyze data used for actuarial analyses.
• ​Month-End Criticality: As part of the month-end close process, the analyst must manage data loading between the 1st and 5th of each month and be available to work or be on-call during this time.
• ​Technical Support: Troubleshoot, identify, report, and resolve technical issues in a timely manner. Train others regarding data sources, data limitations, and efficient retrieval methods.
• ​Process Improvement: History in documenting data processes and identifying redundancies and improvements. Experience in process improvement and workflows.
• ​Methodology Development: Support the design and development of methods, tools, models, frameworks of analysis, and research techniques using BCBSF business and industry relation information.
• ​Actuarial Representation: Represent Actuarial in workgroups, attending meetings, and UAT (User Acceptance Testing), including creating and executing test cases.

​Required and Preferred Skills

​The role demands strong technical execution skills, particularly in Excel and database management, with a preference for scripting knowledge.

• ​Required Experience (5+ years): Experience in programming, database management, or data validation.
• ​Core Technical Skills:
  • ​Expert Excel skills including VBA, Pivot Tables, using Formulas, and linking to data.
  • ​History in documenting data processes and identifying redundancies and improvements.
• ​Preferred Technical Skills:
  • ​Working knowledge of scripting languages and data analysis tools, including R Studio.
  • ​Experience with user testing and ability to create and execute test cases.
• ​Communication: Experience working with cross-functional teams and customers to understand their needs and provide solutions.

​This is a full-time Data Warehouse Analyst role at WorldTrips (a member of Tokio Marine HCC), specializing in specialty travel medical and trip protection insurance. This is a 1099 contract role anticipated to last 3-6 months and is fully remote (USA). The analyst is responsible for the design, development, maintenance, and support of the enterprise data warehouse system, focusing heavily on ETL processes and Microsoft BI solutions.

• ​Location: Remote, USA (1099 Contract).
• ​Duration: Anticipated 3–6 months.
• ​Experience Required: Minimum of two years of relevant and progressive professional experience.
• ​Focus: Designing logical and physical data warehouse architecture, developing ETL packages, ensuring data accuracy/consistency, and utilizing Microsoft BI technology for solutions.

​Responsibilities: Architecture, ETL, and BI Delivery

​The analyst ensures the integrity and functionality of the data warehouse, making data accessible and actionable for the business.

• ​Architecture & Design: Determine logical and physical architecture requirements necessary to integrate new or existing sources into an Enterprise Business Intelligence (data warehouse) system. Continuously improve how the system functions.
• ​Database Management: Review, evaluate, design, test, implement, and maintain company databases to support the organization's data needs.
• ​ETL Development: Write code for database access, modifications, and construction including stored procedures and Extract/Transfer/Load (ETL) packages to integrate new or existing data sources.
• ​Change Data Capture (CDC): Integrate Change Data Capture software to monitor transaction data from source systems.
• ​BI Delivery: Deliver Business Intelligence Solutions using Microsoft technology such as SharePoint, Excel, Analysis Services, Reporting Services, and others.
• ​Standards & Security: Create standards for installation, operational support, and information security to adhere to corporate IT standards.
• ​Consultation: Consult with clients and team members to obtain requirements needed for constructing business intelligence architectures.

​Required Skills and Experience

​The position demands technical expertise in database and ETL development, paired with strong organizational and communication abilities.

• ​Technical Experience: Minimum of two years of relevant and progressive professional experience in a related field.
• ​ETL/Database Tools: Must be proficient in writing code for ETL packages, stored procedures, and handling database modifications and access. Experience integrating Change Data Capture software is necessary.
• ​BI Tools: Experience delivering BI Solutions using the Microsoft stack (Analysis Services, Reporting Services, SharePoint, Excel).
• ​Soft Skills: Demonstrated ability of exceptional attention to detail to manage multiple tasks simultaneously. Excellent written and verbal communication skills.

​This is a full-time Fraud Data Analyst role at Amivero, supporting the federal government in developing fraud analytic models for critical, mission-driven IT systems. The analyst will be instrumental in using data analytics to inform program strategy, policy configuration, and the acquisition of new technology to counter evolving identity fraud threats within the customer's ecosystem (likely Login.gov or similar federal identity services).

• ​Location: US (No specific state listed, but likely remote with federal context).
• ​Experience Required: Bachelor’s Degree plus 10 years of relevant experience. The ideal candidate is seasoned in Fraud/Identity operations.
• ​Clearance: US Citizenship required to obtain Public Trust.
• ​Focus: Developing and maintaining fraud models (identity fraud, account takeover, synthetic identity fraud), fraud risk assessment, anomaly detection, policy configuration tuning (LexisNexis), and KPI reporting/dashboarding (Tableau).

​What Your Day Might Include: Modeling, Risk, and Infrastructure

​The analyst operates across the full spectrum of fraud management, from developing models and conducting risk assessments to collaborating on data infrastructure improvements.

• ​Fraud Modeling: Develop and maintain fraud models to detect identity fraud, account takeover, and synthetic identity fraud. Incorporate relevant data from third-party technology providers to continuously improve and enhance these models.
• ​Fraud Analytics: Conduct data analytics on new account creation attempts and investigative findings to identify fraudulent trends and patterns. Monitor fraud analytics which may include Identify and Entity Resolutions/Detection, Social Network Analysis, Unsupervised Monitoring.
• ​Detection Systems: Establish in-range and out-of-range anomaly behaviors and indicators that will trigger action. Continuously monitor model performance as fraud schemes evolve.
• ​Strategy & Policy: Use data analytics findings to inform program strategy, LexisNexis fraud policy configuration tuning, team staffing levels, and the acquisition of new technology.
• ​Risk Management: Conduct fraud risk assessments to understand program vulnerabilities, establish risk tolerances, and develop risk responses. Develop a fraud response plan including scenario planning and exercises.
• ​Reporting & Collaboration: Support the development of dashboards in Tableau to report KPIs and suspicious activity alerts. Collaborate with DevOps and SecOps teams to improve the data infrastructure and engineering needed to deploy, scale, and operationalize the analytics program.

​Required Qualifications and Technical Skills

​The position requires senior-level experience, strong analytical skills, and proficiency in the tools necessary for modern data-driven fraud detection.

• ​Experience: 10+ years of relevant experience in data analytics, with seasoning in Fraud/Identity operations.
• ​Technical Tools: Experience with SQL, Python, and analytics tools.
• ​Visualization: Skilled in data visualization and enabling dynamic dashboards in Tableau.
• ​Database Knowledge: Experience with both relational and non-relational database systems and database architecture.
• ​Soft Skills: Ability to work autonomously, deliver high-quality work, and succinctly articulate complex ideas and explain technical decisions to both technical and non-technical audiences.

​This is a full-time, remote (US) Analyst, Fraud Intelligence role at Extend, a company that provides AI-driven post-purchase solutions, including product and shipping protection. The Fraud Intelligence team is responsible for building cutting-edge analytics engines and fraud detection models. This role focuses on applying strong business acumen and analytics to uncover fraud patterns, influence business strategy, and rapidly develop mitigation solutions against emerging threats.

• ​Location: Remote, within the Continental United States.
• ​Expected Pay Range: $110,000 - $135,000 per year salaried.
• ​Experience Required: 2+ years of experience in fraud analytics, ideally within an e-commerce or retail environment.
• ​Education: Bachelor’s degree or higher in a quantitative field (Mathematics, Statistics, Computer Science, etc.).
• ​Focus: Analyzing large-scale behavioral/transactional data, SQL/Python proficiency, statistical modeling, and developing monitoring frameworks to stop fraud.
• ​Environment Preference: Prior experience in a startup or high-growth environment is preferred.

​What You'll Be Doing: Detection, Strategy, and Mitigation

​This is a high-ownership role where the analyst’s work directly impacts the company's bottom line and protects its merchant partners.

• ​Fraud Pattern Analysis: Analyze large-scale behavioral, transactional, and interaction data to uncover signals indicative of fraud and abuse. Apply strong business acumen to rapidly identify actionable insights, analyze fraud patterns, and validate hypotheses.
• ​Mitigation Development: Respond swiftly to emerging fraud threats by developing monitoring frameworks, dashboards, and mitigation solutions in collaboration with cross-functional teams.
• ​Strategic Influence: Influence business cases and pricing strategies, and contribute to proof-of-concept initiatives with prospective merchants.
• ​Cross-Functional Partnership: Partner closely with leadership, go-to-market, fraud operations, product, and engineering teams to define and execute effective fraud strategies.
• ​Team Culture: Champion a culture of continuous learning, experimentation, and collaboration across the fraud and broader data science teams.

​Required Qualifications and Technical Skills

​The successful candidate must be a hands-on, proactive, data-obsessed professional proficient in core data science concepts and tools.

• ​Domain Experience: 2+ years of experience in fraud analytics, ideally within an e-commerce or retail environment. Deep understanding of user behavior and fraud patterns.
• ​Technical Proficiency:
  • ​Proficiency in SQL is mandatory.
  • ​Experience in Python (pandas, NumPy, scikit-learn, etc.) is required.
  • ​Strong grasp of core data science and analytics concepts, including statistical analysis, modeling, and data wrangling.
• ​Soft Skills: Exceptional communication and stakeholder management skills, with a proven ability to work cross-functionally and influence outcomes. High attention to detail and strong intellectual curiosity.

​This is a full-time, remote (USA) Senior Data Analyst role at Quantiphi, an award-winning Applied AI and Big Data software and services company. This senior position requires deep domain expertise in the (Re)insurance industry combined with advanced technical skills in data modeling, ETL pipeline development, and business intelligence reporting. The analyst is expected to provide technical leadership and influence strategic initiatives.

• ​Location: Remote, USA.
• ​Experience Level: 7+ years of experience in data analysis and data management.
• ​Domain Experience (Required): 4+ years of experience in the (Re)insurance domain across US P&C, International Markets, and Life, Accident & Health.
• ​Focus: Designing/maintaining data models and ETL workflows (SSIS, Python, Databricks), developing BI dashboards (Power BI, SQL, Spark), and managing large-scale data systems within the insurance sector.

​Roles and Responsibilities: Leadership, Modeling, and Data Engineering

​The Senior Data Analyst leads complex data management initiatives and provides technical guidance while working autonomously in a fast-paced environment.

• ​Data Management Leadership: Lead data management initiatives across diverse (Re)insurance segments. Perform advanced data analysis and manage large-scale data systems to support business decision-making.
• ​ETL and Modeling: Design, develop, and maintain data models, ETL workflows, and data processing pipelines using SSIS, Python, Databricks, and related technologies.
• ​BI and Reporting: Develop dashboards, reports, and insights using Power BI, SQL, Spark, and other BI tools.
• ​Collaboration & Influence: Collaborate with cross-functional and global teams to drive data-driven solutions. Influence stakeholders and contribute effectively to strategic initiatives.
• ​Team Guidance: Provide technical leadership within the data team, fostering collaboration and guiding junior team members.
• ​Documentation: Ensure high-quality documentation for data analysis, data management, and reporting processes.

​Required Skills and Qualifications

​The successful candidate must possess a blend of extensive technical expertise in the data stack and specific, required knowledge of the insurance industry.

• ​Domain Expertise: 4+ years of experience in the (Re)insurance domain across US P&C, International Markets, and Life, Accident & Health.
• ​Core Technical Expertise:
  • ​Strong expertise with business intelligence and query tools: Power BI, SQL, Spark.
  • ​Solid understanding of data modelling and data processing frameworks such as SSIS, Python, and Databricks.
• ​Experience: 7+ years of experience in data analysis and data management.
• ​Soft Skills: Strong leadership qualities, proven ability to work independently with limited oversight, exceptional analytical and critical-thinking skills, and excellent documentation, written, verbal, and presentation capabilities.
• ​Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.