4658 Power Bi Jobs - Page 45

Location : Remote. Experience : 12+ years. Role Expectations : - Design, develop, and maintain interactive dashboards and reports using Power BI. - Create and optimize data models, including star/snowflake schemas. - Develop complex DAX calculations and KPIs to drive business insights. - Integrate data from various sources (SQL Server, Excel, SharePoint, APIs, etc.) - Collaborate with business stakeholders to gather requirements and translate them into technical solutions. - Perform data validation and troubleshooting to ensure accuracy and performance. - Implement row-level security and user-based data access strategies. - Provide guidance on Power BI governance, best practices, and self-service analytics models. - Maintain data refresh schedules and monitor report performance. - Work with cross-functional teams including data engineers, analysts, and business users. Qualifications : - 12+ years of hands-on Power BI development. - Advanced DAX and data modeling expertise. - Experience with Power Query/M Language. - Strong dashboard and visualization design skills. - Power BI Service and Power BI Report Server knowledge. - Row-level security and gateway configurations. - Familiarity with Power BI REST API and embedding techniques. - Proficient in writing complex T-SQL queries, stored procedures, views, and functions. - Data extraction, transformation, and integration using SQL. - Experience with large datasets and performance tuning.

Location : Remote. Experience : 12+ years. Role Expectations : - Design, develop, and maintain interactive dashboards and reports using Power BI. - Create and optimize data models, including star/snowflake schemas. - Develop complex DAX calculations and KPIs to drive business insights. - Integrate data from various sources (SQL Server, Excel, SharePoint, APIs, etc.) - Collaborate with business stakeholders to gather requirements and translate them into technical solutions. - Perform data validation and troubleshooting to ensure accuracy and performance. - Implement row-level security and user-based data access strategies. - Provide guidance on Power BI governance, best practices, and self-service analytics models. - Maintain data refresh schedules and monitor report performance. - Work with cross-functional teams including data engineers, analysts, and business users. Qualifications : - 12+ years of hands-on Power BI development. - Advanced DAX and data modeling expertise. - Experience with Power Query/M Language. - Strong dashboard and visualization design skills. - Power BI Service and Power BI Report Server knowledge. - Row-level security and gateway configurations. - Familiarity with Power BI REST API and embedding techniques. - Proficient in writing complex T-SQL queries, stored procedures, views, and functions. - Data extraction, transformation, and integration using SQL. - Experience with large datasets and performance tuning.

Location : Remote. Experience : 12+ years. Role Expectations : - Design, develop, and maintain interactive dashboards and reports using Power BI. - Create and optimize data models, including star/snowflake schemas. - Develop complex DAX calculations and KPIs to drive business insights. - Integrate data from various sources (SQL Server, Excel, SharePoint, APIs, etc.) - Collaborate with business stakeholders to gather requirements and translate them into technical solutions. - Perform data validation and troubleshooting to ensure accuracy and performance. - Implement row-level security and user-based data access strategies. - Provide guidance on Power BI governance, best practices, and self-service analytics models. - Maintain data refresh schedules and monitor report performance. - Work with cross-functional teams including data engineers, analysts, and business users. Qualifications : - 12+ years of hands-on Power BI development. - Advanced DAX and data modeling expertise. - Experience with Power Query/M Language. - Strong dashboard and visualization design skills. - Power BI Service and Power BI Report Server knowledge. - Row-level security and gateway configurations. - Familiarity with Power BI REST API and embedding techniques. - Proficient in writing complex T-SQL queries, stored procedures, views, and functions. - Data extraction, transformation, and integration using SQL. - Experience with large datasets and performance tuning.

Transport Commercial / Data Analyst Role requires multitasking capabilities for effectively handling multiple opportunities at the same time, ensuring each preparation receives the necessary attention and meets the deadlines. We are seeking motivated individuals to join the Transport Commercial team and help us to drive growth within the market. This position will involve a variety of tasks, working with the team to support: measuring and reporting on our performance, data analysis and supporting our market knowledge through CRM. Key responsibilities include: Gathering and analyzing data from various sources such as CRM and additional databases to generate comprehensive reports and dashboards for the Transport Commercial team and the Transport Leadership Team Working with our team and Opportunity Owners to support and develop the use of tools and processes to support effective tendering, including the use of AI. Conducting market intelligence tasks to support business decisions by performing online market research and developing tools to optimize this research turning data insights into effective business intelligence. Implementing automation processes to improve data quality and visualization through charts, views, and interactive dashboards, to support strategic planning and decision-making Supporting live tenders as necessary, in particular with the preparation of governance and progress report documentation. Establish and nurture relationships with internal stakeholders. Qualification This role is ideal for an experienced Graduate passionate about managing business operations and driving growth within the Transport Commercial sector. If you have a proactive mindset, strong analytical skills, and a keen interest in this field, we encourage you to apply. Bachelor's degree in Business Administration, Economics, Engineering, Data Science, or a related field. Demonstrated skills in Business development softwares such as MS Office, PowerBI and CRM systems. Experience on scripting tools (e.g., SQL, Python) would be advantageous. Strong writing and presentation skills. Capabilities to multitask, managing multiple opportunities simultaneously while meeting deadlines. Excellent networking skills and a global mindset to establish and nurture relationships. Proactive approach and excellent collaboration skills. Experience in data analysis, market intelligence, and business decision support. Familiarity with automation processes and data visualization techniques. Previous experience in a similar role is preferred. Interest in business management and work-winning strategies. Demonstrate a global mindset and strong networking skills Additional Information What we can offer you Investment in your development Leaders you can count on, guided by our Leadership Principles Be valued for the unique person you are Never be short of inspiration from colleagues, clients, and projects The long-term thinking of a foundation-owned company Work at the heart of sustainable change Ramboll is a global architecture, engineering, and consultancy company. We believe that the purpose of sustainable change is to create a thriving world for both nature and people. So, that’s where we start – and how we work. At Ramboll, our core strength is our people, and our history is rooted in a clear vision of how a responsible company should act. Being open and curious is a cornerstone of our culture. We embrace an inclusive mindset that looks for fresh, diverse, and innovative perspectives. We respect, embrace, and invite diversity in all forms to actively cultivate an environment where everyone can flourish and realise their full potential. Ready to join us? Please submit your application. Be sure to include all relevant documents including your CV, cover letter, etc. Thank you for taking the time to apply! We look forward to receiving your application. About Ramboll Founded in Denmark, Ramboll is a foundation-owned people company. We have more than 18,000 experts working across our global operations in 35 countries. Our experts are leaders in their fields, developing and delivering innovative solutions in diverse markets including Buildings, Transport, Planning & Urban Design, Water, Environment & Health, Energy, and Management Consulting. We invite you to contribute to a more sustainable future working in an open, collaborative, and empowering company. Combining local experience with global knowledge, we together shape the societies of tomorrow. Equality, diversity, and inclusion is at the heart of what we do We believe in the strength of diversity and know that unique experiences and perspectives are vital for creating truly sustainable societies. Therefore, we are committed to providing an inclusive and supportive work environment where everyone can flourish and reach their potential. We welcome applications from candidates of all backgrounds and encourage you to contact our recruitment team to discuss any accommodations you need during the application process.

Responsibilities: Own data reporting: Monitoring for Financial Ratio Completeness: troubleshooting and investigation into why these ratios are blank or not tying out. Troubleshooting Power BI Issues Triaging Issues with the Data Vendors: Required Candidate profile Advanced (5+ years) Financial Data Analysis Experience Intermediate (3+ years) with Financial Concepts Some (1+ year) SQL Experience

Lead architecture and delivery of scalable Azure-based solutions. Drive cloud strategy, digital enablement of O&G workflows, team leadership, compliance, risk management, and continuous improvement. Required Candidate profile Experienced architect/lead with expertise in Azure cloud, Oil & Gas workflows, and team management. Proven skills in solution design, compliance, stakeholder engagement, and driving innovation

The Network Reporting Analyst is responsible for managing, maintaining, and delivering accurate and timely monthly reports covering availability, capacity, and usage metrics for various customers. This role plays a critical part in ensuring service performance visibility and operational efficiency through meticulous data validation and reporting. The role carries significant responsibility for on-time delivery, with failure to meet deadlines incurring business and contractual penalties. Key Responsibilities: Manage and maintain a comprehensive set of monthly reports spanning availability, capacity, and usage metrics tailored for diverse customer needs. Ensure the timely and accurate delivery of all reports, strictly adhering to agreed schedules to avoid business impact and contractual penalties. Perform detailed validation and verification of data using PRTG monitoring tools, ensuring data integrity and accuracy before report generation. Utilize advanced Excel functionalities and Power BI dashboards extensively to analyse, process, visualize, and present complex datasets in an accessible, actionable format. Collaborate closely with internal teams including Network Operations, Service Delivery, and Customer Success to gather data requirements and troubleshoot discrepancies. Monitor report production workflows, identify bottlenecks or failures, and implement process improvements to optimize reporting accuracy and timeliness. Maintain and update documentation, templates, and reporting procedures to ensure consistency and compliance with company and client standards. Proactively communicate with stakeholders on report status, issues, and resolution plans. Provide insights and recommendations based on capacity and availability trends to support capacity planning and risk mitigation. Required Skills and Experience: Technical Skills: Advanced proficiency in Microsoft Excel, including pivot tables, complex formulas, macros/VBA, and data modelling. Proven experience with Power BI for building interactive dashboards and complex data visualizations. Hands-on experience with PRTG or equivalent network performance monitoring tools for data validation. Strong understanding of IT infrastructure metrics such as availability, capacity, performance, and usage. Personal Attributes: Exceptional attention to detail and strong analytical skills. Ability to work under pressure and manage multiple, time-sensitive deliverables with strict SLAs. Strong organizational and time management skills. Excellent communication skills for effective stakeholder engagement. Proactive approach to problem identification and resolution. Experience: Minimum 5 years' experience in networking engineering, IT reporting, or related field. Experience working with customer-facing reports and adherence to contractual reporting timelines. Previous experience in a service provider or managed services environment preferred. Qualifications: Degree in Information Technology, Computer Science, Engineering, or related field preferred. Certifications in ITIL, Capacity Management, or Data Analysis tools are advantageous. Performance Metrics: On-time delivery rate of monthly reports (target 99%). Accuracy and completeness of reports validated by internal audit or customer feedback. Reduction in report errors and exceptions over time. Successful implementation of process improvements increasing efficiency.

Role Expectations : - Design, develop, and maintain interactive dashboards and reports using Power BI. - Create and optimize data models, including star/snowflake schemas. - Develop complex DAX calculations and KPIs to drive business insights. - Integrate data from various sources (SQL Server, Excel, SharePoint, APIs, etc.) - Collaborate with business stakeholders to gather requirements and translate them into technical solutions. - Perform data validation and troubleshooting to ensure accuracy and performance. - Implement row-level security and user-based data access strategies. - Provide guidance on Power BI governance, best practices, and self-service analytics models. - Maintain data refresh schedules and monitor report performance. - Work with cross-functional teams including data engineers, analysts, and business users. Qualifications : - 12+ years of hands-on Power BI development. - Advanced DAX and data modeling expertise. - Experience with Power Query/M Language. - Strong dashboard and visualization design skills. - Power BI Service and Power BI Report Server knowledge. - Row-level security and gateway configurations. - Familiarity with Power BI REST API and embedding techniques. - Proficient in writing complex T-SQL queries, stored procedures, views, and functions. - Data extraction, transformation, and integration using SQL. - Experience with large datasets and performance tuning.

Role Expectations : - Design, develop, and maintain interactive dashboards and reports using Power BI. - Create and optimize data models, including star/snowflake schemas. - Develop complex DAX calculations and KPIs to drive business insights. - Integrate data from various sources (SQL Server, Excel, SharePoint, APIs, etc.) - Collaborate with business stakeholders to gather requirements and translate them into technical solutions. - Perform data validation and troubleshooting to ensure accuracy and performance. - Implement row-level security and user-based data access strategies. - Provide guidance on Power BI governance, best practices, and self-service analytics models. - Maintain data refresh schedules and monitor report performance. - Work with cross-functional teams including data engineers, analysts, and business users. Qualifications : - 12+ years of hands-on Power BI development. - Advanced DAX and data modeling expertise. - Experience with Power Query/M Language. - Strong dashboard and visualization design skills. - Power BI Service and Power BI Report Server knowledge. - Row-level security and gateway configurations. - Familiarity with Power BI REST API and embedding techniques. - Proficient in writing complex T-SQL queries, stored procedures, views, and functions. - Data extraction, transformation, and integration using SQL. - Experience with large datasets and performance tuning.

Role Expectations : - Design, develop, and maintain interactive dashboards and reports using Power BI. - Create and optimize data models, including star/snowflake schemas. - Develop complex DAX calculations and KPIs to drive business insights. - Integrate data from various sources (SQL Server, Excel, SharePoint, APIs, etc.) - Collaborate with business stakeholders to gather requirements and translate them into technical solutions. - Perform data validation and troubleshooting to ensure accuracy and performance. - Implement row-level security and user-based data access strategies. - Provide guidance on Power BI governance, best practices, and self-service analytics models. - Maintain data refresh schedules and monitor report performance. - Work with cross-functional teams including data engineers, analysts, and business users. Qualifications : - 12+ years of hands-on Power BI development. - Advanced DAX and data modeling expertise. - Experience with Power Query/M Language. - Strong dashboard and visualization design skills. - Power BI Service and Power BI Report Server knowledge. - Row-level security and gateway configurations. - Familiarity with Power BI REST API and embedding techniques. - Proficient in writing complex T-SQL queries, stored procedures, views, and functions. - Data extraction, transformation, and integration using SQL. - Experience with large datasets and performance tuning.

Job Summary - The HR Reporting Dashboard Analyst is responsible for designing, managing, and maintaining HR dashboards, reports, and analytics to drive data-driven decision-making. This role focuses on workforce analytics, HR metrics tracking, and visualization of key HR insights to improve efficiency, compliance, and strategic workforce planning. Key Responsibilities: 1. HR Data Reporting Visualization: Develop and maintain HR dashboards in Power BI, Excel, or Tableau for leadership insights. Generate weekly, monthly, and quarterly HR reports covering recruitment, attrition, diversity, compensation, and employee engagement. Ensure data accuracy and integrity across all HR reporting systems. 2. HR Metrics KPI Tracking: Track and report HR KPIs such as time-to-hire, attrition, cost-per-hire, offer acceptance rate, employee engagement scores, and diversity ratios. Develop HR scorecards and performance dashboards aligned with Balanced Scorecard methodology. Provide insights on workforce productivity, retention trends, and compensation analytics. . 3. HR Dashboarding Automation: Build interactive dashboards to provide real-time insights on workforce analytics. Leverage Excel (Pivot Tables, Macros, Power Query), Power BI, or Tableau for advanced reporting. Automate HR processes using Power Automate, VBA, or Python for improved efficiency. 4. HR Analytics Decision Support: Analyze employee survey results, attrition data, and workforce trends to provide strategic recommendations. Support recruitment analytics by identifying hiring patterns and optimizing sourcing channels. Provide data-driven insights for leadership decisions on headcount planning and workforce optimization. Qualifications Requirements: Education: Bachelors degree in HR, Business Analytics, Data Science, or a related field. Experience: 3-5 years in HR reporting, dashboarding, HR analytics, or workforce planning. Technical Skills: Expertise in Excel (Pivot Tables, Power Query, VLOOKUP, Dashboards, Macros). Proficiency in Power BI, Tableau, SQL, or Python for HR analytics is a plus. Strong data visualization and storytelling skills. Attention to detail with a problem-solving mindset. Ability to work cross-functionally with HR, IT, and Finance teams. Excellent communication and presentation skills.

Job Responsibilities Technology Leadership Independently he/she should be able to design, implement deliver complex Data Warehousing/Data Lake, Cloud Data Management and Data Integration project assignments. Technical Design and Development Expertise in any of the following skills. Any of the ETL tools (Informatica, IICS, Matillion, Data Stage), and hosting technologies like the AWS stack (Redshift, EC2) is mandatory. Any of the BI tools among Tablau, Qlik & Power BI and MSTR. Informatica MDM, Customer Data Management. Expert knowledge of SQL with the capability to performance tune complex SQL queries in tradition and distributed RDDMS systems is must. Experience across Python, PySpark and Unix/Linux Shell Scripting. Project Management is must to have. Should be able create simple to complex project plans in Microsoft Project Plan and think in advance about potential risks and mitigation plans as per project plan. Task Management Should be able to onboard team on the project plan and delegate tasks to accomplish milestones as per plan. Should be comfortable in discussing and prioritizing work items with team members in an onshore-offshore model. Handle Client Relationship Manage client communication and client expectations independently or with support of reporting manager. Should be able to deliver results back to the Client as per plan. EducationBachelor Equivalent - OtherPG Diploma in Management

Software Required Skills: Deep experience with Murex (version 3.1 or higher) in a production environment focusing on reports and Datamart modules Strong SQL proficiency for data querying, issue analysis, and troubleshooting Shell scripting (Bash/sh) skills supporting issue investigation and automation Use of incident management tools such as ServiceNow or JIRA for tracking and reporting issues Familiarity with report development and data analysis in financial contextsPreferred Skills: Experience with other reporting tools or frameworks, such as Tableau, PowerBI, or QlikView Knowledge of data warehousing concepts and architecture Basic scripting knowledge in other languages (Python, Perl) for automationOverall Responsibilities Lead and oversee the support activities for Murex Datamart and reporting modules, ensuring operational stability and accuracy Provide L2/L3 technical support for report-related incidents, resolve complex issues, and perform root cause analysis Monitor report generation, data extraction, and reconciliation processes, ensuring timely delivery Collaborate with business stakeholders to address reporting queries, anomalies, and data discrepancies Support and coordinate system upgrades, patches, and configuration changes affecting reporting modules Maintain comprehensive documentation of system configurations, incident resolutions, and process workflows Lead problem resolution initiatives, including performance tuning and automation opportunities Manage support teams during shifts (24x5/24x7), ensuring effective incident escalation and stakeholder communication Drive continuous improvement initiatives to enhance report accuracy, data quality, and operational efficiencyStrategic objectives: Maximize report availability, accuracy, and reliability Reduce incident resolution times and recurring issues Strengthen reporting processes through automation and data quality enhancementsPerformance outcomes: Minimal unplanned downtime of reporting systems High stakeholder satisfaction with timely, accurate reporting Clear documentation and proactive communication with stakeholdersTechnical Skills (By Category)Reporting & Data Analysis (Essential): Extensive experience supporting Murex Datamart, reports, and related workflows SQL proficiency for data extraction, troubleshooting, and validation Understanding of report structures for P&L, MV, Accounting, Risk, etc.Scripting & Automation (Essential): Shell scripting (Bash/sh) for automation, issue diagnosis, and process automation Experience in automating routine report checks and data validationsDatabases & Data Management (Essential): Relational database management, data querying, and reconciliation Knowledge of data warehousing concepts and architectureSupport Tools & Incident Management (Essential): Hands-on experience with ServiceNow, JIRA, or similar platformsAdvanced & Cloud (Preferred): Familiarity with cloud data hosting, deployment, or cloud-based reporting solutions Experience with other programming languages (Python, Perl) for automationExperience Over 10+ years supporting Murex production environments with a focus on Datamart and reporting modules Proven expertise in resolving complex report issues, data discrepancies, and interface problems Demonstrated leadership with experience managing or supporting L2/L3 teams Support support in high-pressure environments, including escalations Industry experience within financial services, especially trading, risk, or accounting, is preferredAlternative experience pathways: Extensive scripting, data support, and operational expertise supporting financial reports may qualify candidates with fewer years but equivalent depth of knowledgeDay-to-Day Activities Monitor system dashboards, reports, and logs for anomalies or failures Troubleshoot report data issues, interface failures, and system errors Lead incident investigations, performed root cause analysis, and document resolutions Collaborate with business units to clarify reporting needs and resolve discrepancies Support deployment, configuration changes, and upgrades affecting Report and Datamart modules Automate repetitive tasks, batch jobs, and data validation workflows Create and maintain documentation, runbooks, and best practices Conduct shift handovers, incident reviews, and process improvement sessions Proactively identify improvement opportunities in reporting reliability and performanceQualifications Bachelors degree in Computer Science, Finance, Data Management, or related discipline Strong expertise in SQL, shell scripting, and report troubleshooting Deep understanding of financial reporting, P&L, MV, Risk, and accounting data flows Support experience in high-availability, high-pressure settings Willingness to work shifts, including nights, weekends, or holidays as neededProfessional Competencies Strong analytical and problem-solving skills for resolving complex issues Excellent communication skills for engaging with technical teams, business stakeholders, and vendors Leadership qualities to support and mentor support teams Ability to work independently and prioritize effectively under pressure Adaptability to evolving systems and technological environments Focus on continuous improvement and operational excellence

Preferred candidate profile Looking for a candidate having Scrum experience with 8+ yrs, also with Power BI.

Join Our Team: Asset Management Specialist We are seeking dynamic professionals to fill open positions in our Asset Management team. In this role, you will be responsible for overseeing the complete lifecycle of assetsfrom procurement to disposal. Your expertise will ensure efficient asset utilization, compliance with organizational policies, and adherence to environmental standards during disposal processes Job Title: Asset Management Specialist Location: Bangalore Job Type: Full Time Notice Period : Immediate - 15Days About the Role: Handling loose machines and related technical tools Using and managing ticketing tools and portals like ServiceNow Reporting using Power BI and Power Automate Strong working knowledge of Excel, including data fetching and export Overall experience of 6+ years in relevant domains If your interested in this exciting Java Developer opportunity, kindly share your updated CV at "sneha.p@acldigital.com" Thanks & Regards Sneha 6366234420 Senior Executive - Talent Acquisition

AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Senior Data Scientist Marketing & Consumer Insights Location: Bangalore Reporting to: Senior Manager – Marketing & Consumer Insights COE 1. Purpose of the role We are looking for a highly motivated and strategic Senior Data Scientist to drive the global consumer sentiment analytics platform. This role will focus on building scalable, explainable, and accurate data science models using NLP and AI, enabling insights from social media, e-commerce platforms, and online review data across global markets. The candidate will own the end-to-end development cycle, from experimentation and model development to deployment and integration into Power BI dashboards. Mentoring junior data scientists, ensuring code quality, and exploring new AI techniques will also be part of the role. 2. Key tasks & accountabilities Own and manage data science workflows: data ingestion, cleaning, modeling, tuning, and interpretation. Apply and fine-tune NLP techniques for sentiment analysis, aspect extraction, multi-lingual translation and topic modeling. Ensure proper data modeling aligned with AB InBev’s data architecture; manage different data layers, handle data archiving, and continuously optimize the model as it matures. Integrate multiple datasets and data types (structured and unstructured) to improve model robustness and drive more insightful outputs. Oversee the deployment of models into production, ensuring integration with existing ABI systems and infrastructure. Ensure that the models are accurate, scalable and aligned with project objectives. Collaborate with functional and technical teams to translate business questions into modeling approaches. Participate actively during the dashboard visualization phase to ensure seamless user experience and usability; revisit model code to improve accuracy and simplify where possible. Work closely with visualization experts to ensure insights are consumable, intuitive, and decision-ready. Operate in a high-pressure, fast-paced environment across a global project with multiple stakeholders, diverse markets, and high-volume datasets. The ability to manage expectations, adapt to evolving requirements, and deliver results across geographies is critical. Drive experimentation and optimization cycles to improve model accuracy and business relevance. Partner with stakeholders across functions and geographies to ensure models address real-world needs. Maintain documentation and reproducibility standards across all modeling efforts. Mentor and support analysts and junior data scientists on best practices and solution design. 3. Qualifications, Experience, Skills Level of educational attainment required: Bachelor’s/Master’s degree in Data Science, Computer Science, Statistics, Engineering, or equivalent. Specialization or certifications in NLP, Deep Learning, or Applied AI preferred. Previous work experience required: 8+ years in data science with a focus on NLP and consumer analytics. Experience working with unstructured data, especially from social media, forums, or customer reviews. Prior exposure to end-to-end model deployment and integration with BI tools like Power BI. Experience in Agile teams, with familiarity in Azure DevOps or similar CI/CD environments. Proven ability to mentor and guide teams across multiple regions. IT Skills required: Python (essential), SQL, R, ML/DL frameworks (TensorFlow, Scikit-learn, SpaCy, HuggingFace) Experience with APIs (Twitter, Reddit, Facebook, YouTube, etc.) Familiarity with cloud environments (Azure preferred) Knowledge of Power BI integration and data pipelines Technical skills required: NLP, Sentiment Analysis, Topic Modeling, Text Classification Python, SQL, Machine Learning, Model Explainability API integration, Power BI readiness, data engineering fundamentals Text preprocessing, tokenization, and vectorization Sentiment analysis and topic modeling fundamentals Efficient coding practices and code optimization Working with multilingual corpora and translation APIs Knowledge of social listening tools (e.g., Brandwatch, Talkwalker) Advanced Data Visualization techniques Experience with multilingual data sets And above all of this, an undying love for beer! We dream big to create future with more cheers.

Project description You'll be working in the Technology Services GCTO EA Team. Technology Services is a group-wide function which provides integrated and secure infrastructure services for company by offering best fit, easy to leverage, reliable and cost-effective technology services and strategic products which provide functionality, strategic insights and expertise across all business groups globally. As a Software engineer focused on Microsoft 365 & Azure Collaboration Solutions, you will join an existing team in the EA Team in Group CTO supporting our strategic initiatives across the bank. Responsibilities Help Group Enterprise Architecture team to develop our Azure based applications and tooling Design and develop custom collaboration tools and integrations using Microsoft 365 services (e.g., SharePoint, Teams, Outlook, OneDrive, Power Platform). Build and deploy cloud-native applications using Azure services such as Azure Functions, Logic Apps, Azure AD, and Azure DevOps. Create and maintain APIs and connectors to integrate Microsoft 365 with third-party systems. Collaborate with cross-functional teams including product managers, UX designers, and QA engineers to deliver high-quality solutions. Monitor system performance and troubleshoot issues to ensure optimal uptime and availability. Collaborate with development teams to optimize application performance and reliability. Produce clear and commented code Produce clear and comprehensive documentation Play an active role with technology support teams and ensure deliverables are completed or escalated on time Provide support on any related presentations, communications, and trainings Skills Must have Azure experience Hands on experience working with Kubernetes, Docker and other infrastructure based technologies. Experience with developing collaboration tooling Power Automate knowledge & integration with M365 suite Has strong communication skills 2+ years of experience in a Scrum delivery model In depth experience of Git, JIRA, GitLab Excellent end-to-end SDLC process understanding. Proven track record of delivering complex web apps on tight timelines Understanding of fundamental design principles behind a scalable application and familiarity with RESTful Services. Fluent in English both written and spoken. Passionate about development with focus on web architecture and design Analytical and logical A team player, comfortable working with a lead developer and architects for the program An excellent communicator who is adept in, handling ambiguity and communicating with both technical and non-technical audiences Comfortable with working in cross-functional global teams to effect change Nice to have 2+ years JavaScript, TypeScript experience PowerBI knowledge Knowledge of performance testing frameworks including Fortify, SonarQube, Mocha and Jest Knowledge and experience of Data Science and common tools Knowledge of RDF based Graph Database solutions e.g. GraphDB, Anzo Programming in Python and familiarity with Machine Learning algorithms Familiarity with data retrieval with SQL and Oracle Other Languages EnglishC1 Advanced Seniority Senior

Project description Our client is an EU subsidiary of a Global Financial Bank working in multiple markets and asset classes. The Bank's Data Store has been transformed to a Data warehouse (DWH) which is the central source for Regulatory Reporting. It is also intended to be the core data integration platform which not only provide date for regulatory reporting but also provide data for Risk Modelling, Portfolio Analysis, Ad Hoc Analysis & Reporting (Finance, Risk, other), MI Reporting, Data Quality Management, etc. Due to high demand of regulatory requirements, a lot of regulatory projects are in progress to reflect regulatory requirements on existing regulatory reports and to develop new regulatory reports on MDS. Examples are IFRS9, AnaCredit, IRBB, the new Deposit Guarantee Directive (DGSD), Bank Data Retrieval Portal (BDRP) and the Fundamental Review of the Trading Book (FRTB). DWH / ETL Tester will work closely with the Development Team to design, build interfaces and integrate data from a variety from internal and external data sources into the new Enterprise Data Warehouse environment. The ETL Tester will be primarily responsible for testing Enterprise Data Warehouse using Automation within industry recognized ETL standards, architecture, and best practices. Responsibilities Testing the Bank's data warehouse system changes, testing the changes (user stories), support IT integration testing in TST and support business stakeholders with User Acceptance Testing. It is hands-on positionyou will be required to write and execute test cases, build test automation where it is applicable. Overall Purpose of Job Test the MDS data warehouse system Validate regulatory reports Supporting IT and Business stakeholders during UAT phase Contribute to improvement of testing and development processes Work as part of a cross-functional team and take ownership of tasks Contribute in Testing Deliverables. Ensure the implementation of test standards and best practices for the agile model & contributes to their development. Engage with internal stakeholders in various areas of the organization to seek alignment and collaboration. Deals with external stakeholders / Vendors. Identify risks / issues and present associated mitigating actions taking into account the critically of the domain of the underlying business. Contribute to continuous improvement of testing standard processes. Additional responsibilities include work closely with the systems analysts and the application developers, utilize functional design documentation and technical specifications to facilitate the creation and execution of manual and automated test scripts, perform data analysis and creation of test data, track and help resolve defects and ensure that all testing is conducted and documented in adherence with the bank's standard. Skills Must have Must have experience/expertise Tester, Test Automation, Data Warehouse, BankingTechnical: At least 5 years of testing experience of which at least 2 years in the finance industry with good level knowledge on Data Warehouse, RDBMS concepts. Strong SQL scripting knowledge and hands-on experience and experience with ETL & Databases. Expertise on new age cloud based Data Warehouse solutions ADF, SnowFlake, GCP etc. Hands-On expertise in writing complex SQL using multiple JOINS and highly complex functions to test various transformations and ETL requirements. Knowledge and Experience on creating Test Automation for Database and ETL Testing Regression Suite. Automation using Selenium with Python (or Java Script), Python Scripts, Shell Script. Knowledge of framework designing, REST API Testing of databases using Python. Experience using Atlassian tool set, Azure DevOps and code & Version Management GIT, Bitbucket, Azure Repos etc. Help and provide inputs for the creation of Test Plan to address the needs of Cloud Based ETL Pipelines.Non-Technical: Able to work in an agile environment Experience in working in high priority projects (high pressure on delivery) Some flexibility outside 9-5 working hours (Netherlands Time zone) Able to work in demanding environment and have pragmatic approach with "can do" attitude. Able to work independently and also to collaborate across the organization Highly developed problem-solving skills with minimal supervision Able to easily adapt to new circumstances / technologies / procedures. Stress resistant and constructive whatever the context. Able to align with existing standards and acting with attention to detail. Nice to have Experience of financial regulatory reports Experience in test automation for data warehouse (using bamboo)Software skills: Bitbucket Bamboo Azure Tech Stack Azure Data Factory WKFS OneSumX reporting generator Analytics tool such as Power BI / Excel / SSRS / SSAS, WinSCP Other Languages EnglishB2 Upper Intermediate Seniority Senior

Project description You will be working in a global team that manages and performs a global technical control. You'll be joining Assets Management team which is looking after asset management data foundation and operates a set of in-house developed tooling. As an IT engineer you'll play an important role in ensuring the development methodology is followed, and lead technical design discussions with the architects. Our culture centers around partnership with our businesses, transparency, accountability and empowerment, and passion for the future. Responsibilities Design, develop and maintain/support Power BI workflows to take data from multiple sources to make it ready for analytics and reporting. Optimize existing workflows to ensure performance, scalability and reliability. Support the automation of manual processes to improve operational efficiency. Document workflows, processes, and best practices for knowledge sharing. Provide training and mentorship to other team members on Alteryx development. Collaborate with other members of the team to deliver data solutions for the program. Skills Must have Proficiency in Power BI Desktop, Power BI Service (5+ yrs of experience) Experience with creating interactive dashboards, custom visuals, and reports. Data Modeling: Strong understanding of data modeling concepts, including relationships, calculated columns, measures, and hierarchies. Expertise in using DAX (Data Analysis Expressions) for complex calculations. SQL and Database Management: Proficiency in SQL to extract, manipulate, and analyze data from databases. Knowledge of database design and querying. ETL (Extract, Transform, Load) Tools: Experience with data transformation and cleaning using tools like Power Query, SSIS, or other ETL tools. Nice to have Data Architecture & EngineeringDesign and implement efficient and scalable data warehousing solutions using Azure Databricks and Microsoft Fabric. Business Intelligence & Data VisualizationCreate insightful Power BI dashboards to help drive business decisions. Other Languages EnglishC1 Advanced Seniority Senior

Project description You will be working in a global team that manages and performs a global technical control. You'll be joining Assets Management team which is looking after asset management data foundation and operates a set of in-house developed tooling. As an IT engineer you'll play an important role in ensuring the development methodology is followed, and lead technical design discussions with the architects. Our culture centers around partnership with our businesses, transparency, accountability and empowerment, and passion for the future. Responsibilities Design, develop, and maintain scalable data solutions using Starburst. Collaborate with cross-functional teams to integrate Starburst with existing data sources and tools. Optimize query performance and ensure data security and compliance. Implement monitoring and alerting systems for data platform health. Stay updated with the latest developments in data engineering and analytics. Skills Must have Bachelor's degree or Masters in a related technical field; or equivalent related professional experience. Prior experience as a Software Engineer applying new engineering principles to improve existing systems including leading complex, well defined projects. Strong knowledge of Big-Data Languages including: SQL Hive Spark/Pyspark Presto Python Strong knowledge of Big-Data Platforms, such as:o The Apache Hadoop ecosystemo AWS EMRo Qubole or Trino/Starburst Good knowledge and experience in cloud platforms such as AWS, GCP, or Azure. Continuous learner with the ability to apply previous experience and knowledge to quickly master new technologies. Demonstrates the ability to select among technology available to implement and solve for need. Able to understand and design moderately complex systems. Understanding of testing and monitoring tools. Ability to test, debug, fix issues within established SLAs. Experience with data visualization tools (e.g., Tableau, Power BI). Understanding of data governance and compliance standards. Nice to have Data Architecture & EngineeringDesign and implement efficient and scalable data warehousing solutions using Azure Databricks and Microsoft Fabric. Business Intelligence & Data VisualizationCreate insightful Power BI dashboards to help drive business decisions. Other Languages EnglishC1 Advanced Seniority Senior

Project description Are you passionate about leveraging the latest technologies for strategic changeDo you enjoy problem solving in clever waysAre you organized enough to drive change across complex data systemsIf so, you could be the right person for this role. As an experienced data engineer, you will join a global data analytics team in our Group Chief Technology Officer / Enterprise Architecture organization supporting our strategic initiatives which ranges from portfolio health to integration. Responsibilities Help Group Enterprise Architecture team to develop our suite of EA tools and workbenches Work in the development team to support the development of portfolio health insights Build data applications from cloud infrastructure to visualization layer Produce clear and commented code Produce clear and comprehensive documentation Play an active role with technology support teams and ensure deliverables are completed or escalated on time Provide support on any related presentations, communications, and trainings Be a team player, working across the organization with skills to indirectly manage and influence Be a self-starter willing to inform and educate others Skills Must have B.Sc./M.Sc. degree in computing or similar 5-8+ years' experience as a Data Engineer, ideally in a large corporate environment In-depth knowledge of SQL and data modelling/data processing Strong experience working with Microsoft Azure Experience with visualisation tools like PowerBI (or Tableau, QlikView or similar) Experience working with Git, JIRA, GitLab Strong flair for data analytics Strong flair for IT architecture and IT architecture metrics Excellent stakeholder interaction and communication skills Understanding of performance implications when making design decisions to deliver performant and maintainable software. Excellent end-to-end SDLC process understanding. Proven track record of delivering complex data apps on tight timelines Fluent in English both written and spoken. Passionate about development with focus on data and cloud Analytical and logical, with strong problem solving skills A team player, comfortable with taking the lead on complex tasks An excellent communicator who is adept in, handling ambiguity and communicating with both technical and non-technical audiences Comfortable with working in cross-functional global teams to effect change Passionate about learning and developing your hard and soft professional skills Nice to have Experience working in the financial industry Experience in complex metrics design and reporting Experience in using artificial intelligence for data analytics Other Languages EnglishC1 Advanced Seniority Senior

Experience : 4 - 7 Yrs Employment Type : Full Time, Permanent Working mode : Regular Notice Period : Immediate - 15 Day About the Role : We are seeking a skilled Data Visualization Engineer to join our team and transform raw data into actionable insights. You will play a crucial role in designing, developing, and maintaining interactive dashboards and reports using Power BI, Power Apps, Power Query, and Power Automate. Responsibilities : - Data Visualization : Create compelling and informative dashboards and reports using Power BI, effectively communicating complex data to stakeholders. - Data Integration : Import data from various sources (e.g., databases, spreadsheets, APIs) using Power Query and ensure data quality and consistency. - Data Modeling : Develop robust data models in Power BI to support complex analysis and reporting requirements. - Power Apps Development : Create custom applications using Power Apps to enable data-driven decision-making and automate workflows. - Power Automate Integration : Automate repetitive tasks and workflows using Power Automate to improve efficiency and reduce errors. - Cloud Data Analytics : Leverage cloud-based data analytics platforms to process and analyze large datasets. - Collaboration : Work closely with data analysts, data scientists, and business users to understand their requirements and deliver effective visualizations. Qualifications : Experience : 4-7 years of experience in data visualization and business intelligence. Technical Skills : - Proficiency in Power BI, Power Apps, Power Query, and Power Automate. - Strong understanding of data modeling and ETL processes. - Experience working with cloud-based data analytics platforms. - Familiarity with SQL and other data query languages. Soft Skills : - Excellent communication and interpersonal skills. - Strong problem-solving and analytical abilities. - Attention to detail and ability to deliver high-quality work

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities,collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow.Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your role As a Senior Data Scientist, you are expected to develop and implement Artificial Intelligence based solutions across various disciplines for the Intelligent Industry vertical of Capgemini Invent. You are expected to work as an individual contributor or along with a team to help design and develop ML/NLP models as per the requirement. You will work closely with the Product Owner, Systems Architect and other key stakeholders right from conceptualization till the implementation of the project. You should take ownership while understanding the client requirement, the data to be used, security & privacy needs and the infrastructure to be used for the development and implementation. The candidate will be responsible for executing data science projects independently to deliver business outcomes and is expected to demonstrate domain expertise, develop, and execute program plans and proactively solicit feedback from stakeholders to identify improvement actions. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with stakeholders from different functional and business teams. The role also requires the candidate to collaborate on ML asset creation and eager to learn and impart trainings to fellow data science professionals. We expect thought leadership from the candidate, especially on proposing to build a ML/NLP asset based on expected industry requirements. Experience in building Industry specific (e.g. Manufacturing, R&D, Supply Chain, Life Sciences etc), production ready AI Models using microservices and web-services is a plus. Programming Languages Python NumPy, SciPy, Pandas, MatPlotLib, Seaborne Databases RDBMS (MySQL, Oracle etc.), NoSQL Stores (HBase, Cassandra etc.) ML/DL Frameworks SciKitLearn, TensorFlow (Keras), PyTorch, Big data ML Frameworks - Spark (Spark-ML, Graph-X), H2O Cloud Azure/AWS/GCP Your Profile Predictive and Prescriptive modelling using Statistical and Machine Learning algorithms including but not limited to Time Series, Regression, Trees, Ensembles, Neural-Nets (Deep & Shallow CNN, LSTM, Transformers etc.). Experience with open-source OCR engines like Tesseract, Speech recognition, Computer Vision, face recognition, emotion detection etc. is a plus. Unsupervised learning Market Basket Analysis, Collaborative Filtering, Dimensionality Reduction, good understanding of common matrix decomposition approaches like SVD. Various Clustering approaches Hierarchical, Centroid-based, Density-based, Distribution-based, Graph-based clustering like Spectral. NLP Information Extraction, Similarity Matching, Sentiment Analysis, Text Clustering, Semantic Analysis, Document Summarization, Context Mapping/Understanding, Intent Classification, Word Embeddings, Vector Space Models, experience with libraries like NLTK, Spacy, Stanford Core-NLP is a plus. Usage of Transformers for NLP and experience with LLMs like (ChatGPT, Llama) and usage of RAGs (vector stores like LangChain & LangGraps), building Agentic AI applications. Model Deployment ML pipeline formation, data security and scrutiny check and ML-Ops for productionizing a built model on-premises and on cloud. Required Qualifications Masters degree in a quantitative field such as Mathematics, Statistics, Machine Learning, Computer Science or Engineering or a bachelors degree with relevant experience. Good experience in programming with languages such as Python/Java/Scala, SQL and experience with data visualization tools like Tableau or Power BI. Preferred Experience Experienced in Agile way of working, manage team effort and track through JIRA Experience in Proposal, RFP, RFQ and pitch creations and delivery to the big forum. Experience in POC, MVP, PoV and assets creations with innovative use cases Experience working in a consulting environment is highly desirable. Presupposition High Impact client communication The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI.

Business Advisors shape the vision with the client, understand the needs of the users/stakeholders, carry out an elicitation of processes, data and capabilities and derive the target processes and the business requirements for the current and future solution. - Grade Specific Conducts appropriate meetings/workshops to elicit/understand and document the business requirements using their domain expertise. In addition, may also produce process and data models of the current and/or future state. Skills (competencies) Abstract Thinking Active Listening Agile (Software Development Framework) Analytical Thinking Backlog Grooming Business Architecture Modeling Business Process Modeling (e.g. BPMN) Change Management Coaching Collaboration Commercial Acumen Conceptual Data Modeling Conflict Management Confluence Critical Thinking CxO Conversations Data Analysis Data Management Decision-Making Emotional Intelligence Enterprise Architecture Modelling Facilitation Functional IT Architecture Modelling Giving Feedback Google Cloud Platform (GCP) (Cloud Platform) Influencing Innovation Jira Mediation Mentoring Microsoft Office Motivation Negotiation Networking Power BI Presentation skills Prioritization Problem Solving Project Governance Project Management Project Planning Qlik Relationship-Building Gathering Risk Management Scope Management SQL Stakeholder Management Story Mapping Storytelling Strategic Management Strategic tThinking SWOT Analysis Systems Requirement Analysis (or Management) Tableau Trusted Advisor UI-Design / Wireframing UML User Journey User Research Verbal Communication Written Communication

Business Advisors shape the vision and strategy with the client, understand the needs of the users/stakeholders, carry out an elicitation of processes, data and capabilities and derive the target processes and the business requirements for the current and future solution. - Grade Specific Performs analysis of processes, systems, data and business information and research, and builds up domain knowledge. Skills (competencies) Abstract Thinking Active Listening Agile (Software Development Framework) Analytical Thinking Backlog Grooming Business Architecture Modeling Business Process Modeling (e.g. BPMN) Change Management Coaching Collaboration Commercial Acumen Conceptual Data Modeling Conflict Management Confluence Critical Thinking CxO Conversations Data Analysis Data Management Decision-Making Emotional Intelligence Enterprise Architecture Modelling Facilitation Functional IT Architecture Modelling Giving Feedback Google Cloud Platform (GCP) (Cloud Platform) Influencing Innovation Jira Mediation Mentoring Microsoft Office Motivation Negotiation Networking Power BI Presentation skills Prioritization Problem Solving Project Governance Project Management Project Planning Qlik Relationship-Building Gathering Risk Management Scope Management SQL Stakeholder Management Story Mapping Storytelling Strategic Management Strategic tThinking SWOT Analysis Systems Requirement Analysis (or Management) Tableau Trusted Advisor UI-Design / Wireframing UML User Journey User Research Verbal Communication Written Communication