• Support the finance teams in decision-making processes by providing financial advisory on relevant topics • Assist with budgeting, closing, and forecast preparation • Execute control frameworks within O-I and support various business case calculations • Responsible for month-end closing processes and US GAAP financial reporting • Prepare reports for insightful financial analysis and support audits • Identify cost reduction opportunities and monitor business performance • Participate in FP&A projects and share knowledge with peers

• Become an expert on internal and external data trends relevant to Netomi’s business and product ecosystem. • Design and maintain BI dashboards and tools that enable teams to independently track and understand business metrics. • Conduct deep-dive analysis into chatbot performance, user interactions, and conversational flows to identify key optimization opportunities. • Collaborate with product, engineering, and customer success teams to translate conversational analytics into actionable insights. • Integrate and analyze data from conversational platforms (e.g., chatbot logs, NLU/NLP systems) to improve intent accuracy, resolution rates, and customer satisfaction. • Leverage Generative BI tools to create dynamic, automated reports and data narratives that respond to natural language queries. • Partner with enterprise architects to ensure solutions align with broader data architecture and governance principles. • Drive automation of recurring reporting tasks and streamline data workflows using scripting and scheduling tools. • Monitor AI-driven systems for accuracy, bias, and explainability in outputs—ensuring business users trust the insights provided.

About us Job Description:  Trident is seeking a high-caliber CX3 Analyst for one of our premier growth-stage clients. Our client is aggressively scaling toward a milestone of 25,000 net enrolled members by the end of 2026 while maintaining an industry-leading NPS of +50. The Analyst serves as the organization's central intelligence engine, fulfilling a dual mandate: safeguarding the member experience and fueling sales growth through precision analytics. This professional does not simply manage data; they operate within a specialized CX3 Framework: - Deliver: Providing precision data on every member interaction and sales motion. - Design: Utilizing pattern recognition to optimize member journeys and sales pipelines. - Advocate: Amplifying the consumer voice and growth signals within every leadership decision through evidence-based reporting. Job Responsibilities Customer Experience & Retention Intelligence - Infrastructure Management: The Analyst builds and owns the NPS/CSAT data pipelines across six critical touchpoints, including Sales, Onboarding, First Use of Service, and Cancellations. - Retention Modeling: This role is responsible for developing an "early-warning model" to proactively identify and mitigate at-risk accounts before they churn. - Performance Tracking: The Analyst maintains real-time dashboards to ensure the organization remains on track for its +50 NPS target, including specific satisfaction tracking for brokers and affiliates. - Growth & Sales Analytics - Pipeline Oversight: The Analyst owns weekly performance tracking for all primary growth channels, providing visibility into the health of diverse sales pipelines. - Conversion Optimization: This individual manages CRM dashboards to identify opportunities for improving close rates from current levels toward a target of 10%. - Growth Reporting: The role monitors channel ramp-ups, ensuring high-priority growth targets are met on a month-over-month basis. - Operational & Interaction Analytics - Behavioral Decoding: The Analyst reviews and analyzes high-volume call records (160,000+ annually) to identify behavioral patterns, callback frequencies, and First Call Resolution (FCR) rates. - AI Integration: This role translates AI-assisted call tagging and data from intelligence platforms into structured, actionable weekly reports for the leadership team. Success Benchmarks (First 90 Days) - Month 1: Launch the NPS/CSAT infrastructure across all identified customer touchpoints. - Month 2: Establish weekly reporting for interaction patterns and growth channel trendlines. - Month 3: Deliver a foundational retention model that identifies at-risk members before they reach a point of cancellation.

MWDN is an international recruitment and outstaffing company with 23+ years of experience connecting exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. In this role, MWDN acts as the recruitment partner, and the selected candidate will work directly with the client’s team on their product in an international environment. Why does MWDN rock? Here’s what you can expect when you join MWDN: - Security: We carefully vet our clients to minimize risks and ensure reliability and timely payments—no fraud or unpleasant surprises. - Career support: If a project isn’t the right fit, we support you and actively help find new opportunities that match your skills and career goals. - Legal assistance: We provide guidance on legal matters, including opening and managing your independent contractor or sole proprietorship status, taxes, and related processes. - Professional development: We offer English courses and professional growth opportunities, as well as team-building events. Why choose us? MWDN is ranked among the top 5 IT employers in our region according to DOU. We take pride in our transparency and strong commitment to our team. Curious to learn more? See what our employees say about working with us on DOU. What is your new project? - Domain: AI Consulting - Client Location: US - Company size: up to 10 people - Founded in: 2020 What makes this project exciting? Join a forward-thinking consulting environment that helps companies scale through modern cloud, data, and AI-driven solutions. The team partners with organizations across industries to design and implement robust, multi-cloud architectures, combining deep infrastructure expertise with advanced data platforms. Built for complex, real-world challenges, the approach focuses on turning fragmented systems into scalable, high-performing ecosystems. From enabling seamless cross-cloud operations to supporting data pipelines and analytics, you’ll help drive solutions that power smarter decision-making and long-term growth. What makes you a great fit - 4+ years in analytics engineering, BI development, or data engineering roles spanning both transformation and visualization layers - Strong SQL proficiency and hands-on experience with cloud data warehouses (Snowflake, BigQuery, Redshift, Synapse, or equivalent) - Hands-on dbt experience (Core or Cloud) or equivalent transformation framework - Proficiency with at least one major BI tool - Power BI, Looker, Tableau, or equivalent - including semantic/data model configuration - Understanding of dimensional modeling and semantic layer design - Ability to translate business requirements into data models and visualizations without heavy hand-holding - Experience working in agile delivery environments - Strong written English for documentation, metric definitions, and async communication Preferred - Experience with headless BI or semantic layer tools (Cube, Metriql, dbt Semantic Layer) - Python skills for custom transformation logic or data pipeline scripting - Exposure to multiple cloud platforms - Experience designing self-service analytics environments for non-technical end users - Multi-industry background - analytics patterns vary significantly by vertical Your day-to-day in this position - Design and implement data transformation pipelines and semantic data models using dbt or equivalent frameworks - Build and maintain data marts, aggregated layers, and consumption-ready datasets aligned to project and stakeholder requirements - Develop dashboards, reports, and self-service analytics environments using modern BI tooling (Power BI, Looker, Tableau, or equivalent) - Define and implement a semantic layer that bridges technical data models and business-friendly metrics - Collaborate with the Senior Analytics & Data Engineer on transformation layer design and integration patterns - Document data lineage, business metric definitions, data dictionaries, and dashboard logic consistently - Implement data validation checks within transformation pipelines and work with the DataOps Engineer on quality automation - Participate in agile ceremonies across Scrum and Kanban workstreams - Use AI-assisted tools to accelerate model development, documentation, dashboard scaffolding, and query optimization Why work with us? - People-first management with minimal bureaucracy - A friendly company culture, proven by employees who choose to return - Flexible working hours - Full financial and legal support for independent contractors - Free English classes, with native speakers or Ukrainian teachers - Dedicated HR support Our next steps ✅ Intro call with a Recruiter — ✅ HR interview with the client — ✅ Tech interview — ✅ Home assignment — ✅ Final client interview— ✅ Offer Requirements null