Вакансии

​​​​​​- анализом бизнес-потребностей и функциональных задач с точки зрения их реализации в информационных системах; - исследованием существующей архитектуры, функциональности и ограничений систем, а также определением влияния планируемых изменений на текущий ландшафт;

Сформировать единую структуру данных по компаниям, проектам, договорам, мерам поддержки, международным мероприятиям и результатам деятельности. Организовать корректное хранение данных.

Систематизировать структуру данных департамента: описывать источники, связи и правила расчета показателей; Выполнять разовые аналитические запросы и представлять выводы заказчикам;

анализ структур данных в разных источниках и форматов, оценка их пригодности для конкретных бизнес-задач. загрузка, обработка и преобразование больших объемов данных из разнородных хранилищ (Postgres, Clickhouse, Hadoop) в рабочие среды (Hadoop).

-Уровень midlle (опыт работы в роли бизнес-аналитика от 3 лет).

- Обследование текущих бизнес-процессов формирования и передачи кредитной информации в БКИ, определение границ проекта и ожидаемых результатов. - Сбор, анализ и согласование функциональных и бизнес-требований на основе нормативных документов, договоров и спецификаций БКИ.

Анализ действующих бизнес-процессов компании, выявление взаимосвязи, узких мест и возможности для оптимизации; Взаимодействие с участниками бизнес-процессов, выявление потребности бизнеса и формирование предложения по улучшению;

Анализировать рынок, категории товаров и региональные показатели; Изучать динамику продаж, рыночные доли и ценовые изменения;

Вёл проект миграции на новую инсталляцию AmoCRM: собирал требования, проектировал структуру данных, сопоставлял поля и воронки, планировал и контролировал перенос. Общался с бизнесом и подрядчиком, проводил интервью с продажами и руководителями, описывал процессы AS IS / TO BE в BPMN и приоритизировал требования.

Собирать и описывать функциональные требования; Делать анализ возможности реализации запросов на изменения на основании текущей архитектуры системы;

Location: Remote - US About the Job: LaunchDarkly is seeking a People Systems, Analytics and AI Manager to be our subject matter expert on HR systems and to turn People data into insights that help business leaders make better decisions. You will build the reports, analytics, and dashboards that tell the story of our workforce, and you will use AI tooling to make those stories faster to create, easier to understand, and more compelling. This is an individual contributor role reporting to the Director, People Programs, Systems and Analytics. You will work closely with People Operations, Finance, and leaders across the business, and you will own your work from question to insight to action. We are looking for someone who combines deep HR systems knowledge with strong analytical skills, creativity in how data is presented, and sound judgment about people data and AI. Responsibilities: Serve as the subject matter expert for our HR systems (HRIS, applicant tracking, performance, compensation, and learning platforms), including configuration, data integrity, security roles, integrations, and release management. Design, build, and maintain reports, dashboards, and analytics on headcount, hiring, retention, engagement, compensation, and workforce planning that leaders use to make decisions. Partner with People, Finance, and business leaders to translate questions into clear metrics, definitions, and analyses, and to recommend actions based on what the data shows. Use AI tools to accelerate analysis and create compelling data stories and visualizations, including automated insights, natural-language summaries, and executive-ready narratives. Establish and govern People data standards: metric definitions, data quality checks, documentation, and a single source of truth across systems. Protect employee data by applying privacy, confidentiality, and access controls, and by partnering with Legal and Security on responsible use of AI with People data. Own the intake, prioritization, and delivery of system and reporting requests, balancing quick turnarounds with scalable, self-service solutions. Automate recurring reports and manual workflows to reduce effort and errors, and identify new opportunities where systems and AI can improve the employee and manager experience. Support system projects such as new module rollouts, integrations, data migrations, and annual cycles (performance, compensation, and engagement), including testing, training, and documentation. Enable People Operations teammates and managers through training, office hours, and clear guides so they can use data and tools with confidence. Stay current on HR technology, analytics, and AI trends, and bring practical recommendations to the Director, People Programs, Systems and Analytics. Qualifications: 8+ years of related experience in HR systems, People analytics, or HR operations, with hands-on ownership of reporting and dashboards in a technology or high-growth environment. Expert-level knowledge of at least one major HRIS (for example, Workday, Rippling, or similar), including report writing, calculated fields, and security configuration. Strong proficiency with analytics and visualization tools (for example, SQL, Tableau, Looker, Power BI, or similar) and advanced spreadsheet skills. Demonstrated fluency with AI tooling to analyze data, generate insights, and build visualizations and narratives, with sound judgment about accuracy and appropriate use. Ability to translate business questions into metrics and communicate findings clearly to non-technical leaders. Strong understanding of data integrity, privacy, and confidentiality practices for employee data. Proven ability to manage multiple projects and stakeholders independently and deliver on time with attention to detail. Curious, pragmatic problem solver who enjoys simplifying complex processes and data. Comfortable working with a highly distributed team across time zones. Nice to Have: Experience with data pipelines, data warehouses, or scripting (for example, Python or dbt). Experience with integrations and workflow automation tools. Knowledge of workforce planning, compensation, or engagement analytics. Bachelor's degree in Information Systems, Analytics, Business, Human Resources, or a related field, or equivalent experience. Pay: Target pay ranges based on Geographic Zones* for Level 4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $ 121,800 - $167,530 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $ 109,700 - $150,810 ** Zone 3: All other US locations - $ 103,600 - $142,450 * * LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: New York, New York, United States; San Francisco, California, United States At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. In our hybrid early career program, you’ll be paired with a tenured Affirmer and have an opportunity to collaborate in-person 3 days a week out of our New York City, or San Francisco offices. You'll experience the best of both worlds: the in-office experience and remote work. After the one-year, you can remain hybrid, go remote, or stay in an office. Opportunities are available across different tech stacks and teams so that you can find a perfect fit to launch your career with Affirm! About the Risk & Analytics Team: The Risk & Analytics (R&A) team makes crucial decisions that direct Affirm’s business strategy. We partner with Machine Learning, Product, Engineering, Capital Markets, and Commercial teams to grow Affirm responsibly by optimizing approval, conversion, losses, and profitability. Operating across the entire customer and merchant lifecycle, we tackle a diverse array of challenges from optimizing checkout conversion and mitigating fraud risk, to building scalable data foundations and enabling international growth. We analyze performance not just to report on it, but to determine where to invest resources for maximum impact through building tools, scalable data infrastructure, and analytical frameworks. We improve the analytics experience across Affirm by streamlining workflows and fostering a culture of learning and documentation. By taking ownership of the entire analytical lifecycle, from initial question to final business decision, we turn complex data and systems into clear, actionable signals that ensure Affirm grows efficiently and intelligently. Our Teams (Where You Might Sit): We are hiring multiple Early Career Analyst roles across Affirm's Risk & Analytics organization through this single job posting. Rather than interviewing for one specific team, candidates will go through a shared interview process designed to assess the core skills we look for across R&A. If selected, we will work with you to determine the best team match based on your interests, experience, strengths, and current business needs. You will have the opportunity to learn more about our teams and share your preferences as you move through the process. Potential team placements include: Point of Sale (POS): Optimize merchant and checkout performance to improve conversion, approvals, and unit economics across the purchase funnel. Direct to Consumer (DTC) / Card: Drive engagement, repeat usage, and lifecycle health across Affirm's app, web, and card experiences. Fraud: Prevent and reduce fraud losses across the customer journey while maintaining a frictionless user experience. Core Analytics: Build the quantitative research, machine learning models,  performance monitoring, and scalable data foundations that enable fast, economically sound decisions. Servicing and Payments: Enhance the post-origination customer experience by analyzing repayment behavior, collections strategies, and operational efficiency. International Expansion: Build the measurement and decision foundations needed to sustainably launch and scale Affirm in new global markets. About the Role As an Early Career Analyst in Affirm's Risk & Analytics organization, you will join one of several analytical teams working across the customer and merchant lifecycle. While the specific problems you tackle will depend on your eventual team placement, all Analyst I roles share a common foundation: using data to understand business performance, identify opportunities, and help Affirm make better decisions. You will learn the fundamentals of consumer lending while executing scoped analytical work under the guidance of senior analysts and managers. You will leverage SQL, Python, and modern analytical tools to help optimize business strategies, monitor performance, and turn complex data into actionable insights. You are a thoughtful, driven individual eager to build a strong technical foundation, learn how to navigate exogenous market changes, and integrate modern AI tooling to solve hard problems efficiently. What You Will Do Derive Insights & Support Strategy: Leverage data analytics to uncover insights that help optimize product, risk, or growth strategies across geographies. Monitor Portfolio Health: Assist in tracking performance metrics, user behavior, and macroeconomic trends that impact business outcomes, flagging risks and anomalies to senior team members. Technical Execution: Write clean, working SQL and Python to build scalable reporting and partner with Engineering to support the deployment of machine learning and risk models. Cross-Functional Collaboration: Work closely with Product, Legal, and Compliance to understand evolving consumer lending regulations and market requirements, assisting in translating them into foundational data models and operational policies. Drive Launch Alignment: Support cross-functional discussions to ensure new product launches and market entries align with our operational capabilities and risk appetite. AI Fluency & Efficiency: Integrate AI tools (Cursor, Claude Code, copilots) into your daily workflows to accelerate data mining and routine tasks, holding the line on verifying outputs. What We Look For Currently pursuing a Bachelor’s degree or higher with an expectation that you will complete your most recent full-time degree program by August 2027 or earlier; relevant internships or prior experience in the consumer lending, fintech, or broader financial services industry are highly valued. Degree in Data Science, Computer Science, Engineering, Economics, Statistics, Math or a related quantitative field preferred. Working knowledge of SQL, Python, or other scripting languages. Familiarity with data mining, data visualization, and foundational statistical modeling. Basic understanding or deep curiosity about consumer lending regulations, fair lending principles, and how machine learning techniques apply to real-world business problems. Exceptional communication skills, humility, and the ability to collaborate effectively. Pay Grade - I Equity Grade - 5 Employees new to Affirm typically come in at the start of the pay range . Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). USA base pay (CA or NY) per year: $115,000 Please note that visa sponsorship is not available for this position. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Islamabad Capital Territory, Pakistan Data Analyst – Customer Support Automations · [Full-time] · In-Person (Islamabad, PK) · Hours 6pm - 2am PKT About Nysonian Nysonian builds the next generation of global lifestyle brands, shaping how people travel, move, and live. We go beyond creating great products to build experiences that elevate everyday life and empower people around the world. Our Fast-Growing Portfolio Includes: NOBL Travel — redefining modern travel with design, durability, and performance FLO Pilates — bringing Pilates into homes and wardrobes globally Core Values: Winners’ Mindset | Speed with Purpose | Thoughtful Innovation | Genuineness | No Ego, Full Ownership The Opportunity We are looking for a hands-on Data Analyst to support our Customer Support function through reliable reporting, dashboards, and actionable analysis. The successful candidate will work with large, complex datasets to answer business questions, monitor support performance, identify operational issues, and recommend improvements to customer experience and team efficiency. This role requires strong analytical judgment, attention to detail, and the ability to deliver accurate work in a fast-paced environment with changing priorities. What You'll Own Translate business questions from Customer Support stakeholders into clear analytical requirements, metric definitions, and reporting deliverables. Extract, combine, clean, and analyze large datasets from support systems, databases, spreadsheets, and other business sources. Build and maintain dashboards using at least one visualization tool, such as Power BI, Tableau, or Looker Studio. Monitor support metrics, including ticket volume, backlog, first response time, resolution time, SLA compliance, reopen rate, CSAT, and agent productivity. Analyze customer complaints, repeat contacts, returns, refunds, retention outcomes, and chargeback reasons to identify patterns and improvement opportunities. Assess human and AI support performance, considering case complexity, channel, and workload when comparing results. Investigate discrepancies between reports and source systems, document root causes, and coordinate corrections with relevant teams. Automate recurring reports and data preparation tasks to reduce manual effort and improve reporting consistency. Perform data quality checks for missing records, duplicates, inconsistent identifiers, date issues, and incorrect calculations. Present findings clearly to technical and non-technical stakeholders, with practical recommendations. Maintain documentation of reporting logic, business definitions, assumptions, and known limitations. Handle customer and business information responsibly and follow company data access policies. Skills & Qualifications Minimum 2 years of recent, relevant professional experience in data analytics, business intelligence, or operational reporting. Internships and academic projects should be listed separately. Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Business Analytics or a related analytical discipline. Minimum CGPA of 3.2 out of 4.0, or an equivalent result, in the most recently completed degree. Strong practical SQL skills, including joins, aggregations, CTEs, window functions, and date-based analysis. Hands-on experience working with large datasets, including querying, cleaning, combining, and validating data efficiently. Practical proficiency in at least one visualization tool: Power BI, Tableau, Looker Studio, or an equivalent platform. Working proficiency in Python, particularly pandas, for data preparation, analysis, and reporting automation. Strong Excel or Google Sheets skills, including pivot tables, lookup formulas, data validation, and reconciliation. Ability to select appropriate analytical methods, calculate rates and averages correctly, and distinguish meaningful changes from misleading comparisons. Strong problem-solving skills and the ability to investigate an issue beyond the dashboard or headline number. Ability to manage multiple requests, reprioritize quickly, communicate delivery timelines, and maintain accuracy under tight deadlines. Ability to work independently with incomplete requirements while clarifying important assumptions. Clear written and verbal communication skills. Preferred Experience Customer Support, customer experience, contact center, or ecommerce analytics. Analysis of ticket-level, customer-level, order-level, or interaction-level data. Familiarity with CRM or helpdesk platforms and support workflows. Exposure to PostgreSQL, MongoDB, APIs, or JSON data. Experience with cohort analysis, customer retention, refunds, returns, or chargebacks. Experience improving slow queries or processing datasets that are too large for standard spreadsheets. Why You'll Love Working at Nysonian Culture We're founder-led and operate with speed, direct communication, and clear accountability We invest in tools and management practices that help colleagues do their best work Our products are used by customers globally AI is intentionally embedded in how we work, create, and scale Senior leaders are expected to create structure, make decisions, and stay close to execution Growth & Development Competitive pay and meaningful opportunities for performance-based advancement Ownership of strategy, systems, execution, and team buildout within your function Opportunity to build and scale a meaningful part of the business across two consumer brands Scope and compensation growth tied to performance, role expansion, and measurable business impact We are proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, sex, religion, gender, marital status, national origin, genetics, disability, age, veteran status or other characteristics.

Функционал: Администрирование Битрикс24: стабильность, модули, устранение сбоев. Настройка воронок продаж: стадии, правила переходов, новые воронки.

Задачи: — Работать с большим объемом данных — Разрабатывать логику аналитических выборок и отчётов — Работать с данными продаж, чеков, заказов, формировать агрегаты из транзакций, обогащать сырые данные — Писать сложные SQL запросы — Переводить бизнес-запросы в понятные технические задания для разработки отчётов, витрин — Работать с расхождениями в данных, находить и анализировать ошибки — Настраивать фильтры и метрики для BI Требования: — Уверенный опыт работы с данными на позиции аналитика от 4-5 лет — Опыт работы в Pharma - must — Опыт работы с большими данными — Продвинутый уровень SQL и Excel, ClickHouse (или другие колоночные БД) — Важно уметь формировать SQL запросы без помощи нейронок — Опыт построения отчётности на базе справочников и аналитических агрегатов — Опыт постановки ТЗ для формирования отчётов — Умение находить оптимальные способы решения задачи (оптимально по скорости, затраченным ресурсам и работе с БД) — Высшее образование — Гражданство и физическое местонахождение на территории РФ Условия: — Контакт для отклика: @I_Azzzz

Location: Limassol, Cyprus Workplace: fully Sumsub is the first AI-powered trust infrastructure for compliance operations at scale. It connects identity and business verification, fraud prevention, transaction monitoring, and risk workflows, helping teams reduce manual work and enter new markets. Trusted by over 4,000 clients across financial services, crypto, mobility, trading, marketplaces, education, and iGaming, including Bybit, Bitpanda, Wirex, Avis, Vodafone, Duolingo, and Kaizen Gaming. Sumsub is recognized as a Great Place To Work® in the US and rated 4.5 out of 5 on Glassdoor. Our 1,000+ people around the world back it up, too: 92% are proud to be Sumsubers, and 90% say their work is interesting and challenging. We’re looking for a NetSuite Administrator to manage day-to-day configuration and turn Finance team requests into clear requirements and system improvements. The role combines hands-on administration, business analysis and coordination with developers. What You Will Be Doing: Gather requirements from Finance, define acceptance criteria and write clear specifications, identifying what can be configured and what needs development. Manage the Jira backlog and coordinate delivery with developers, agreeing priorities with your manager. Configure custom fields, records, forms and SuiteFlow workflows; build saved searches, reports and dashboards. Manage users, roles and permissions across subsidiaries, supporting segregation of duties and audit readiness. Handle CSV imports and mass updates, maintaining data integrity and master data quality. Build and edit Advanced PDF/HTML templates for invoices, credit memos and statements. Test customizations, integrations and NetSuite releases in Sandbox, coordinate UAT with Finance, and validate financial transactions and GL impact. Support users, troubleshoot issues, document changes and write short user guides. About You: Have experience administering ERP, CRM or other business systems, such as NetSuite, Salesforce, Dynamics or Odoo. Are comfortable configuring fields, forms, reports and workflows. Understand data models, record relationships and reference data. Can clarify stakeholder requests and write clear technical specifications. Please bring an example to the interview. Have basic HTML/CSS skills and feel comfortable editing templates, including using AI tools to write and review code. Have English at B2 level or above and a careful approach to testing and documentation. Nice to Have: NetSuite experience or certification. Familiarity with JavaScript, SQL or integrations. Experience in business analysis, systems analysis or project coordination. What We Offer: Remote-first, trust-based culture. Work from the place that works best for you. No mandatory office days, no attendance trackers. In some locations, we provide offices or coworking spaces, but the choice is yours. True flexibility. We do not fix you to a 9-to-5 schedule. You can adjust your working hours when needed, as long as your day stays productive and in sync with the team. Extra time off. Your birthday is a holiday here. Add to that 10 personal days each year, seven sick days without paperwork, and extra time to enjoy Christmas and New Year. Time to rest is part of the deal. Work that matters. Our mission is to build a digital world that is secure, accessible and inclusive for everyone. From fighting fraud to making online services easier and safer to use, your work will have a real impact on how people experience trust online. Compensation. We offer fair and transparent pay, benchmarked to the market. Truly global. We work across continents and time zones, with teammates and customers from all over the world. You will run campaigns that cross borders, cultures, and languages, and see your ideas land worldwide. Growth built in. Clear goals, open feedback and personal development plans. We support your progress with learning opportunities and by covering role-specific events, from design conferences to marketing forums. Celebrating your big moments. We are proud to support you through life’s biggest journeys with dedicated financial bonuses for both marriage and welcoming a new baby to your family. Team offsites. Sometimes just Slack is not enough. That is why we meet in person a few times a year. Trips are fully covered, so you can meet, collaborate, and recharge together. Getting you set up. We make sure you have access to the tools and hardware you need to do your work well. Friendly by design. Our logo is a dog for a reason. We keep things human, open and kind. We welcome individuality, quirks and different perspectives, because that is what makes our work smarter and more fun. The hiring stages: TA screening -> Hiring Manager Interview -> Final Interview. Sounds like a great opportunity for your career development? Then go ahead and apply! We are a global community of innovators, creators, and thinkers, and we believe that diversity fuels our innovation. Sumsub is proud to be an equal opportunity employer, committed to building a diverse and inclusive workforce. We welcome applications from people of all backgrounds, cultures, genders, experiences, abilities and perspectives. Join us in shaping the future inclusively. This role is open to candidates in multiple countries, and compensation differs based on the candidate’s confirmed work location. For this reason, a single universal salary range is not included in this job posting. The applicable work location will be confirmed early in the recruitment process, and the relevant compensation information for that location will be shared in writing, in line with local requirements.

Высшее техническое образование. Наличие опыта аналитической работы в сфере ИТ от 4 лет.

Ищу продуктового аналитика в направление роботизации сборки заказов в дарксторах — комплектацию и упаковку (гибрид, мск).