Вакансии

• SQL — уверенное владение. • Qlik Sense / Power BI — разработка и поддержка дашбордов.

• Формирование стратегии развития аналитики товародвижения, определение приоритетов и планирование ключевых инициатив. • Управление командой аналитиков: постановка задач, развитие сотрудников, участие в подборе и формировании команды.

Location: Ghent, Belgium D-ploy is a dynamic IT and Engineering Solutions company operating across the EMEA region, including Switzerland, Germany, Czech Republic, Austria, the UK, and the USA. We are committed to delivering reliable and efficient services to our clients through strong partnerships and a people-focused culture. We are looking for an experienced Business Analyst to support a Microsoft 365 data classification and information protection initiative within an international, highly regulated environment. This role is ideal for someone who combines strong business analysis skills with a solid understanding of information governance, data protection and Microsoft 365 collaboration tools. You will work closely with business stakeholders, technical specialists and compliance teams to translate data protection policies into practical business processes, technical requirements and user-friendly solutions, ensuring that security measures are effectively implemented and adopted across the organization. Key Responsibilities Gather, analyze and document business requirements related to data classification, information protection and secure collaboration. Translate data classification policies into clear business requirements for sensitivity labels, encryption, sharing permissions and Data Loss Prevention (DLP) controls. Define and document processes for classifying and labelling new and existing files, documents and SharePoint sites. Collaborate with business stakeholders and key users to identify sensitive information, high-risk content and potential compliance gaps. Identify and document business scenarios and exceptions involving external collaboration, partner access, mobile devices and Microsoft Copilot. Develop test scenarios and test cases for proof-of-concept activities, coordinate User Acceptance Testing (UAT) and consolidate findings to support implementation decisions. Define key performance indicators (KPIs) to measure adoption, compliance and technical effectiveness, including reporting requirements and data sources. Work closely with technical teams, cybersecurity specialists and information governance stakeholders to ensure alignment between business requirements and technical solutions. Support change management and user adoption initiatives by contributing to training materials, user guides, FAQs and stakeholder communications. Requirements What We're Looking For 4+ years of experience as a Business Analyst, including projects related to compliance, information governance or data protection. Proven involvement in at least one Microsoft 365 information protection or secure collaboration project. Good working knowledge of Microsoft Purview sensitivity labels and Data Loss Prevention (DLP) from a business and process perspective. Experience translating data classification, information governance or data protection policies, such as GDPR or GxP, into practical business processes and controls. Strong experience gathering and documenting business requirements, designing processes and facilitating stakeholder workshops. Experience developing test scenarios, writing test cases and coordinating User Acceptance Testing (UAT). Ability to define KPIs and reporting requirements using tools such as Excel, Power BI or monday.com. Experience working in regulated industries, preferably pharmaceuticals, life sciences or similar environments. Excellent communication, documentation and stakeholder management skills. Fluency in English. Valid criminal record extract, not older than three months, required. Nice to Have Microsoft SC-401 or previous SC-400 certification. Experience with change management methodologies such as Prosci. Familiarity with monday.com or similar project management and reporting platforms. Benefits Broad range of tasks and responsibilities Friendly and international working environment Professional development opportunities Referral program (“Fishing for Friends”) Company-sponsored events Is IT in your DNA?

Location: Lagos, Nigeria The MIS Specialist will be responsible for operational reporting, data analysis, performance monitoring, and management insights across the Contact Centre. This role will ensure that accurate and timely data is available to monitor operational performance, identify trends and gaps, support staffing decisions, and improve overall customer experience and Contact Centre efficiency across Inbound Calls, Live Chat, Email, and social media. Requirements Key Responsibilities Operational Reporting & Data Management Prepare and deliver daily, weekly, monthly, and ad-hoc operational reports. Consolidate, validate, and reconcile data from multiple systems to maintain a single source of truth. Monitor and report on key performance indicators, including FCR, CSAT, NPS, AHT, Service Level, and Productivity. Automate recurring reports and streamline processes to reduce manual reporting activities. Performance & Customer Contact Analysis Analyze contact center performance by channel, team, agent, and issue type to uncover trends and performance gaps. Investigate significant anomalies and performance drops through root cause analysis to assess operational impact. Provide actionable insights and data to Team Leads and Managers to support coaching, performance management, and incentive calculations. Business Intelligence & Management Insights Develop and maintain dashboards that provide executive visibility into performance, workforce efficiency, and service delivery. Translate operational data into strategic management insights, highlighting emerging risks and opportunities for improvement. Prepare management reports and presentations for strategic stakeholder reviews. Support business cases, budgeting, and capacity planning through forward-looking data insights. Stakeholder Collaboration & Continuous Improvement Collaborate cross-functionally with internal teams to obtain and validate operational data. Translate stakeholder requirements into practical analytical and reporting solutions. Support initiatives involving new products, channels, or systems by providing impact assessments and workforce forecasts. Recommend and drive improvements to reporting processes and operational workflows based on data findings. Workforce Management & Planning Forecast contact center demand and determine staffing requirements based on historical trends, seasonality, and customer volumes. Develop and maintain staffing plans, shift schedules, and capacity models across all operational channels. Monitor staffing levels against actual demand to identify capacity gaps, overstaffing, or understaffing, and recommend adjustments. Track key workforce metrics, including occupancy, utilization, shrinkage, absenteeism, attrition, and schedule adherence. Qualifications & Experience 3–5 years' relevant experience in Contact Centre Analytics, Workforce Management, Operations Analytics, or Business Intelligence. Experience working in a high-volume Contact Centre environment, with an understanding of workforce planning and operational performance. Experience supporting multiple customer service channels, such as Voice, Email, Live Chat, and social media. Experience in fintech, banking, telecommunications, e-commerce, or another customer-focused industry is an advantage. Technical Skills & Core Competencies Advanced Microsoft Excel skills (Pivot Tables, XLOOKUP, Power Query) and proficiency in Power BI or equivalent dashboard tools. Experience using Contact Centre, CRM, telephony, or Workforce Management (WFM) systems. Solid understanding of Contact Centre operations, workforce metrics, KPIs, and forecasting methodologies. Strong analytical, problem-solving, and stakeholder communication skills, with the ability to translate data into actionable business insights.

Работать в связке с командой категории: анализировать товарооборот и маржу, выявлять точки роста и готовить рекомендации для управленческих решений; Разрабатывать инструменты для мониторинга и анализа результатов A/B-тестов;

Сбор, консолидация и анализ HR-данных и информации из разных источников, автоматизация сбора и обработки информации; Модельные расчеты с применением прогнозных параметров, проверка расчетов на соответствие требованиям.

• Collect, validate, structure, and maintain business data. • Work with payment provider tariffs, clients, payment channels, terminals, and other operational data.

is looking for an Associate Financial Planning and Analysis to support management reporting, expense allocation, planning, forecasting, and financial analysis across business lines.

Ожидания от кандидата Коммерческий опыт в роли Data Analyst от 3-х лет ; Уверенное владение инструментами аналитики данных: SQL (включая оконные функции, агрегаты, подзапросы), Python для обработки и анализа больших данных ;

- Коммерческий опыт в роли Data Analyst от 3-х лет; - Уверенное владение инструментами аналитики данных: SQL (включая оконные функции, агрегаты, подзапросы), Python для обработки и анализа больших данных;

Design and develop end-to-end data pipelines using Azure Data Factory, SQL, and other Azure services. Implement complex data models, DAX measures, and calculated columns to support reporting.

Location: Bangkok, Thailand; Vietnam; Georgia; Indonesia; Philippines Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for a Lead PPC Specialist . Your main tasks will be: Own and evolve the global Paid Search strategy across our products portfolio, with primary responsibility for Google Ads and additional ownership of Microsoft Advertising where relevant; Lead, coach and develop the Paid Search team: set objectives, allocate workload, review performance, improve execution standards and support hiring and onboarding; Own portfolio-level budget allocation, forecasting and performance across products, markets and funnels, including Tier-1 geographies and six-figure+ monthly search spend; Design scalable account and campaign structures covering keyword strategy, match types, negative keywords, search-query mining, bidding, RSAs, DSA and Performance Max where appropriate; Lead the implementation and optimization of pLTV-based conversions and conversion values: partner with Analytics and Engineering to validate predicted lifetime value, conversion mapping, value uploads and signal quality, then use these signals in value-based Smart Bidding; Establish a rigorous experimentation program using Google Ads Experiments to A/B-test bidding strategies, campaign structures, match types, ads, landing pages and pLTV optimization approaches; Apply sound statistical methods to experiment design and interpretation, including hypothesis definition, sample-size and power considerations, confidence intervals, significance, seasonality and test contamination; Oversee conversion tracking, Enhanced Conversions, offline conversion imports, attribution and reporting across app, mobile web and desktop; identify data gaps and drive remediation; Analyze search demand, auction dynamics, marginal returns and conversion-funnel performance to identify scalable growth opportunities and present decision-ready recommendations; Collaborate with Analytics, Engineering, Product, CRO, Creative and Localization teams to improve acquisition economics and landing-page performance across international markets. We expect from you: Expert-level knowledge of Google Ads Search, including account architecture, keyword and search-query strategy, match types, negative keywords, RSAs, DSA, auction dynamics, policy compliance and international scaling; Advanced knowledge of Google Smart Bidding: Maximize Conversions, Target CPA, Maximize Conversion Value, Target ROAS, portfolio bid strategies and the conditions required for stable learning and scale; Hands-on experience implementing and optimizing campaigns against predicted lifetime value (pLTV) conversions or conversion values, including offline conversion imports, Enhanced Conversions, API-based value uploads, signal validation and bidding calibration; Proven experience designing and running A/B tests through Google Ads Experiments, including bidding, campaign structure, match-type, ad-copy and landing-page experiments; Strong statistical foundation: hypothesis formulation, experimental design, sample-size and power concepts, confidence intervals, statistical significance, variance, seasonality, multiple-testing risk and common sources of bias; Advanced understanding of performance economics and funnel metrics: CAC/CPA, pLTV, ROAS, LTV-to-CAC, payback period, conversion lag, marginal CPA/ROAS, CVR, CPC, CTR and impression share; Deep understanding of measurement and attribution across app, mobile web and desktop, including GA4, Google Tag Manager, Enhanced Conversions, offline conversion tracking and data-driven attribution; Advanced Excel/Google Sheets skills and working proficiency with SQL, BigQuery and BI tools for campaign, cohort and funnel analysis; Strong capability in budget allocation, forecasting, scenario modelling, marginal-return analysis, pacing and executive-level reporting for high-spend international accounts; Experience with Microsoft Advertising, Search Ads 360, Google Ads Scripts or other automation tools is a strong advantage; Proven ability to build scalable campaign-management, experimentation, analytics and quality-assurance processes for a team. What do we offer: REMOTE OPPORTUNITY to work full-time; The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; 50% payment for professional training, international conferences, and meetings; Corporate discount for English lessons; ​ Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); ​ Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Join us now!

Location: London, United Kingdom Workplace: hybrid About us At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate – moving from manual processes to automated, intelligent workflows. Xelix is a fast-paced scale-up – things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team of over 150 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together. In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you. About the role We are now hiring for an Analytics Engineer to join our new BI / Data team. This role is an exciting opportunity to turn raw data into the trusted metrics and self-service analytics that every team at Xelix, from Finance to Product, makes decisions with, built AI-native so a small team delivers trusted metrics in weeks rather than quarters. Whether you're an experienced mid-level engineer ready for broader ownership or already operating at senior level, you'll have real influence on how Xelix defines and uses its data. What you'll be doing Model clean, joined tables in dbt for customers, contracts, usage, product outcomes, support, revenue and cost Work AI-native from day one: AI coding agents draft models, tests and documentation, while you own definitions, review and quality Own the metrics layer: one tested definition each for ARR, customer retention, realised customer value, touchless rate and cost to serve, with a first version in use within your first six weeks Move existing Metabase and customer review reporting onto governed models, and retire duplicate dashboards together with their owners Enable Finance, RevOps, Commercial, Product, Engineering and Services to self-serve, including plain-language analytics on top of the metrics layer, and help choose our analytics tooling Agree definitions with business owners and document them so people and AI tools read them the same way What you’ll bring Experience as an analytics engineer or BI developer, building models in dbt on a cloud data warehouse You already work AI-native: you use AI coding agents daily for SQL, dbt models, tests and documentation, know how to verify what they produce, and understand how semantic layers make AI answers reliable Excellent SQL and data modelling, including dimensional models and metrics or semantic layers Experience with a BI tool such as Metabase, Omni, Looker or Power BI, and with enabling non-technical users Business sense: you understand SaaS metrics like ARR, churn and expansion, and can turn questions into data Clear communication and patience in getting stakeholders to agree on one definition What we offer in return 💰 Competitive salary of £50,000-£70,000 depending on experience 🏝️ 27 days of annual leave (including 3 days Christmas closing), with the option to roll over 3 days 🏡 Hybrid working with one day a week from our dog-friendly Hoxton office and on-site gym 🏥 Comprehensive private medical & dental cover with Vitality 🍼 Enhanced parental leave pay 📚 Learning & development culture – £1,000 personal annual budget 🌍 We’re carbon-neutral and are working towards ambitious carbon reduction goals 🎯 Lots of team socials & activities ☀️ Annual team retreat Want to learn more? About us Xelix blog Xelix news Xelix glassdoor We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! If you're a recruiting agency - we have an existing list of agencies we work with and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach. This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday. Interview Process While the exact process may vary slightly depending on the role, our typical interview stages are: Introductory Call – A short Teams conversation with a Talent Partner to discuss your background and the opportunity. Hiring Manager Interview – A 30–45 minute Teams meeting to explore your experience and fit for the team. Technical Task or Presentation – A role-relevant exercise to demonstrate your skills and approach. Final On-site Interview – An in-person meeting with our senior leadership team and co-founders at our office. We strive to make the process clear, efficient, and respectful of your time. We welcome the responsible use of AI for research and interview preparation, but ask that it isn't used to generate answers during live interviews. We also believe in being transparent - we use Metaview's AI note-taker during interviews so our interviewers can stay fully present. If you'd prefer us not to use it, just let your interviewer know. While you may need to answer eligibility questions as part of your application, we do not use AI to review or make decisions on applications - every application is reviewed fairly by a member of our Talent team.

– Умение создавать интерактивные и визуально понятные дашборды/отчёты и презентовать инсайты стейкхолдерам. – Продвинутый SQL: сложные выборки, чистка данных, оптимизация;

Location: Limassol, Cyprus Freedom24 is a trusted online broker with expertise in the US, European, and Asian stock markets, registered in Cyprus, and offers a broad range of services in the financial markets. Freedom Team is a union of highly qualified professionals on the market, bursting with vibrant energy and pioneer ideas. All of us are goal-oriented with a strong belief in teamwork power built on the strength of each of us. We work in a fast-paced environment and within cross-functional teams. We are dedicated to achieving the best possible result, and no one thinks he doesn’t make a change. If you feel like you’re a good fit for us and we are a good fit for you, go ahead and check this position out. About the Role We are looking for a Head of Budget & Cost Control to lead our budgeting and cost control function. Reporting to the CFO, you will manage the company-wide budgeting process, track how budgets are spent and drive cost efficiency across the business. You will lead the budgeting and cost control team and give management accurate, timely financial insight. 1. Budget Planning & Management Implement and improve budgeting methods for operational, investment (CAPEX) and financial budgets in line with the company's financial policies. Prepare and consolidate the company-wide budget, including forecasts, scenario analysis and investment models. Run the full planning cycle: set tasks, define timelines and make sure deadlines are met. Develop, update and maintain internal policies and procedures for budgeting and cost control. 2. Budget Control Run monthly variance analysis (actual vs. plan), find the root causes and recommend specific actions. Monitor budget limits and escalate overspends. Support the automation and digitalization of budgeting and cost control processes using ERP and BI tools. 3. Cost Control & Optimization Carry out regular cost reviews and efficiency assessments for departments, projects and products. Identify and propose initiatives that improve efficiency and reduce operating costs. Implement cost-reduction initiatives and track and report the savings achieved. Monitor compliance with budget and financial policies and procedures. 4. Financial Analysis & Reporting Prepare management reports for senior management. Build financial models and assess the profitability of projects and capital investments. Provide analysis to support the company's long-term financial strategy. 5. Team Leadership Lead and develop the budgeting and cost control team. Mentor team members, assign responsibilities and evaluate performance. Requirements Must-have Degree in Economics, Finance, Accounting or a related field. More than 5 years of experience in budgeting, controlling, FP&A or financial management (an audit background is welcome); 2–3 years managing a team. Strong hands-on budgeting experience: operating budget, CAPEX/OPEX and cash flow. Solid management accounting and variance analysis skills. Strong financial modeling skills and advanced Excel. Experience with a major ERP system (e.g. SAP, Oracle or 1C), invoice management systems (e.g. SAP Concur, Coupa or Emburse) and a BI tool (Power BI or Tableau). Clear communicator, confident presenting to senior management. Highly organized, with strong attention to detail. Nice-to-have ACCA, CIMA or CPA (completed or in progress). Experience in financial services companies (e.g. investment firms, asset managers, banking, payments or fintech). Experience with 1C and SAP Concur specifically. Knowledge of ABC/ABM or driver-based budgeting. Knowledge of IFRS. Experience setting up budgeting processes from scratch. Benefits Work in a modern office in the center of Limassol with an open-minded and professional team; Relocation package, including reimbursement for flights and accommodation for 1 month; Visa sponsorship for the employee and their family members; The company covers 50% of the annual cost of the health plan, which the employee can choose with any insurance company; Company-provided life insurance; 21 working days of paid vacation; 12 additional days off per year, provided by the company; Paid sick leave; Team-building activities, corporate events, football and volleyball clubs, sports events, and challenges.

Location: United States About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are looking for a detail-oriented Business Analyst – AI Evaluation Specialist to support a project focused on assessing and comparing chatbot responses. You will evaluate multiple AI-generated outputs against defined business requirements and quality criteria, analyze business processes, and deliver structured assessments that help improve the accuracy and usefulness of AI systems. The ideal candidate combines strong business analysis, data interpretation, requirements documentation, and critical evaluation skills with the ability to communicate clear, evidence-based conclusions. Key Responsibilities Gather, analyze, and document business requirements, stakeholder expectations, and project objectives. Compare multiple chatbot responses and assess their accuracy, relevance, completeness, and alignment with defined evaluation criteria. Conduct structured evaluations and provide clear, evidence-based final assessments of AI-generated outputs. Translate business requirements into functional specifications, evaluation criteria, and actionable documentation. Analyze workflows, business processes, and data to identify gaps, inefficiencies, and improvement opportunities. Create reports, dashboards, process maps, and other project documentation. Support project planning, testing, implementation, and user acceptance testing (UAT). Collaborate with technical teams and business stakeholders to ensure project requirements are understood and met. Track project progress, risks, dependencies, and key performance indicators (KPIs). Present findings, insights, and recommendations to support informed decision-making. Maintain consistent evaluation quality and meet project deadlines and task completion targets. Requirements Bachelor's degree in Business Administration, Finance, Computer Science, or a related field. At least 3 years of professional experience as a Business Analyst or in a similar analytical role. Strong analytical thinking, problem-solving, and decision-making skills. Proficiency in Excel and experience with SQL, Power BI, Tableau, or comparable analytical and reporting tools. Experience gathering requirements, documenting functional specifications, and mapping business processes. Strong attention to detail and the ability to compare complex information against defined criteria. Excellent written communication, reporting, and documentation skills. Ability to collaborate with cross-functional teams and manage multiple priorities independently. Willingness to work five days per week, including weekends when required, with two weekdays off during the project.

сбор, кластеризация и валидация данных из внутренних систем и внешних источников. анализ данных, построение прогнозных моделей (Python, SQL, pandas).

Мы ищем аналитика, который будет полностью отвечать за внутреннюю отчётность: быстро собирать данные из разных систем, склеивать их в единый формат и передавать заказчикам в виде качественных отчётов, презентаций и финансовых моделей. Оперативно собирать отчётность по запросам внутренних заказчиков.