5249 Data Visualization Jobs - Page 9

Embark on a transformative journey as a Valuation Analyst at Barclays. You will spearhead the evolution of the digital landscape, driving innovation and excellence by harnessing cutting-edge technology to revolutionize digital offerings and ensure unparalleled customer experiences. Your responsibility will be to lead and build automated forecasting solutions to valuate acquisition marketing investments at the partner, channel, offer, and segment level. Additionally, you will help drive marketing investment optimization decisions for the business by leveraging data science capabilities through operationalizing data platforms and advanced analytical methodologies and tools to forecast P&L and monitor model accuracy to drive the best outcome across channels and partners. To be successful in this role as a Valuation Analyst, you should possess proficiency in Python, SAS, and SQL. A good knowledge of data analysis and statistical techniques such as linear or nonlinear models, logistic regression, macroeconomic forecast, decision trees, cluster analysis, and neural networks is required. Deep understanding of Cards P&L and forecasting methodologies is also essential. Experience in Credit Card/Banking, Data Science, Machine Learning, Advanced Analytics, and Data visualization are highly valued skills. Your role will involve extracting meaningful insights from complex data sets, developing robust decision models, and presenting actionable recommendations to stakeholders across departments. Key accountabilities will include identifying and extracting relevant data from various sources, performing sensitivity analysis and scenario planning, monitoring the performance of existing models, implementing data quality control procedures, and building quantitative models to support decision-making across different business areas. As an Analyst, you are expected to perform activities in a timely manner to a high standard consistently, driving continuous improvement. You will lead and supervise a team, guide and support professional development, allocate work requirements, and coordinate team resources. If the position has leadership responsibilities, you are expected to demonstrate a clear set of leadership behaviors Listen and be authentic, Energize and inspire, Align across the enterprise, and Develop others. You will have an impact on the work of related teams within the area, partner with other functions and business areas, take responsibility for end results of a teams operational processing and activities, escalate breaches of policies/procedures appropriately, advise and influence decision-making within your area of expertise, and take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. All colleagues are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship the moral compass guiding behavior. Demonstrating the Barclays Mindset to Empower, Challenge, and Drive is essential as the operating manual for behavior within the organization.,

As Head of Support Operations at Fr8bukyn, you will be responsible for building, developing, and leading the customer support organization. Your role will involve hiring, growing, and developing a scalable team of freight operation specialists to provide world-class service for our customers. You will collaborate with various teams within the company to ensure business standards, customer experience, and innovation are continuously improved. Your key responsibilities will include building the customer support organization from the ground up, developing team schedules to meet SLAs, improving operational metrics, and empowering support teams to deliver on KPIs in a time-sensitive environment. You will also be tasked with providing best-in-class support experience, deploying omnichannel and 24/7 support, and identifying resources needed for your team's success. The ideal candidate for this role should have at least 3 years of professional experience in high-volume customer support environments, along with 3+ years of managerial experience in multicultural settings. You should possess strong communication skills, exceptional business acumen, and the ability to use quantitative data to drive decision-making. Additionally, you should be an empathetic leader, detail-oriented, and self-motivated to deliver results. Nice to have skills include technical proficiency in SQL, Excel, and data visualization. The candidate should be willing to learn new digital tools quickly and have experience with help desk solutions such as Zendesk, Intercom, or Freshdesk. If you are a self-driven, hardworking individual with a passion for leading and developing customer support teams, this role at Fr8bukyn may be the perfect opportunity for you. Join us in our mission to help small trucking and independent owner operators scale their business through excellent customer support operations.,

As a Compensation Business Analyst at Roblox, you will play a crucial role in leveraging data to drive key compensation decisions. Your responsibilities will include conducting data analysis, creating advanced data visualizations, and providing actionable insights to senior leadership. By utilizing your expertise in SQL, Python, Tableau, and other visualization tools, you will transform complex compensation data into meaningful insights and interactive dashboards that guide strategic decision-making. In this role, you will also be instrumental in identifying opportunities for automation, process improvements, and re-engineering within compensation programs to enhance efficiency and optimize workflows. Your ability to analyze large datasets, develop innovative models, and generate visually compelling reports will be vital to your success. If you are passionate about working with data, developing creative visualizations, and driving continuous improvements, this position offers the perfect opportunity for you to make a significant impact. Reporting to the Compensation Programs and Analytics Manager, this hybrid role is based in Gurugram, India. Key Responsibilities: - Conduct in-depth compensation analysis and develop models to inform and influence business decisions - Build and maintain reports, dashboards, and metrics to monitor data integrity and validity - Analyze complex datasets to identify key trends and provide data-driven, actionable insights - Create materials for effective communication of strategic priorities and key findings to the senior leadership team - Contribute to the development and implementation of global compensation programs, particularly compensation review cycles - Collaborate with cross-functional teams to identify areas for operational efficiency, automation, and process enhancements - Drive small to mid-sized projects from inception to delivery using project management skills Qualifications: - Bachelor's/master's degree with 2+ years of experience in data analytics/visualization or a related field - Proficiency in SQL, relational databases, and programming languages such as Python, R, or similar - Familiarity with data visualization tools like Tableau, Power BI, or Hex - Experience in Google Sheets or Excel for building data analyses and developing automated models - Knowledge of data modeling, data warehousing, and data pipeline development - Strong project management skills At Roblox, you will enjoy industry-leading compensation, comprehensive medical, dental, and vision coverage, a rewarding 401k program, and a flexible vacation policy. Additionally, you will benefit from a supportive work environment, including free catered lunches, onsite fitness facilities, and various employee perks. Join us at Roblox HQ and be part of a dynamic team shaping the future of human interaction and creating safer, more civil shared experiences for our global community of developers and creators.,

The Market Research Intern at USEReady will play a crucial role in supporting strategic initiatives by providing deep, data-driven insights into the evolving Data and AI landscape. You will collaborate with the Strategy and Innovation teams to explore emerging trends in Agentic AI, data platforms, and enterprise AI adoption. By conducting in-depth market research and applying advanced research methodologies, you will analyze market dynamics, competitive positioning, and client needs within the rapidly evolving tech consulting space. Key responsibilities of this role include conducting detailed market research on Agentic AI, data engineering, cloud platforms, and digital transformation trends. You will also analyze competitive intelligence, benchmark leading players in the AI consulting and enterprise services space, and apply advanced techniques to uncover insights. Supporting go-to-market strategies with data-backed recommendations, designing and analyzing surveys, expert interviews, and secondary research will be part of your daily tasks. Additionally, you will create compelling dashboards and visual reports for internal stakeholders and leadership. To qualify for this position, you should have an MBA (or currently pursuing) from a top-tier institution, preferably with a focus on Strategy, Technology Management, or Analytics. A strong understanding of the Data & AI ecosystem, including Agentic AI, cloud platforms (Azure, AWS, GCP), and enterprise data solutions is required. Proficiency in data analysis tools such as Python, R, SQL, and Excel, as well as experience with data visualization tools like Tableau, Power BI, or Looker, is essential. Familiarity with market research techniques and excellent communication skills are also necessary. Being a self-starter with strong organizational skills and the ability to manage multiple priorities in a fast-paced environment is vital. Prior experience in consulting, tech strategy, or analytics is considered a strong advantage. Working as a Market Research Intern at USEReady, you will gain exposure to cutting-edge Agentic AI and data consulting projects, hands-on experience with strategic market research in a high-growth tech environment, and mentorship from industry leaders in AI, data science, and digital strategy. You will have the opportunity to contribute to real-world business decisions and client engagements. To apply for this position, please submit your resume, a brief cover letter, and any relevant work samples or project portfolios to [careers@useready.com].,

You should have 5-8 years of experience in investment banking, management consulting, or similar analytical roles. Your main responsibilities will include conducting thorough market research and industry analysis to identify growth opportunities for the Fixed Income electronic trading business. You will collaborate with senior stakeholders to develop strategic presentations, pitch documents, and marketing materials. Additionally, you will work with various teams to provide strategic insights and recommendations for Fixed Income trading desks. You will be responsible for creating and managing tools like databases and spreadsheets to analyze market data and trends. Your role will also involve offering analytical and research support for client engagements to ensure data-driven decision-making processes. To excel in this position, you must be proficient in the Microsoft Office Suite, particularly in PowerPoint, Excel, and Word. You should have a track record of conducting data analysis and market research to support strategic decision-making. Attention to detail, the ability to work under tight deadlines, and effective stakeholder management skills are essential. Experience with data visualization tools like Tableau or Power BI is preferred. Knowledge of programming languages, especially Python, for data manipulation and automation is an advantage. A strong understanding of Flow Business (Fixed Income or Foreign Exchange) and broader financial markets will be beneficial in this role.,

We are seeking a skilled Data Analyst with exceptional communication abilities and in-depth proficiency in SQL, Tableau, and contemporary data warehousing technologies. As a Data Analyst, you will be responsible for designing data models, creating insightful dashboards, ensuring data quality, and extracting valuable insights from extensive datasets to aid strategic business decisions. Your primary responsibilities will include writing advanced SQL queries to extract and manipulate data from cloud data warehouses like Snowflake, Redshift, or BigQuery. You will design and implement data models that cater to analytical and reporting requirements, as well as develop dynamic, interactive dashboards and reports utilizing tools such as Tableau, Looker, or Domo. Additionally, you will engage in advanced analytics techniques like cohort analysis, time series analysis, scenario analysis, and predictive analytics. Ensuring data accuracy through thorough quality assurance checks, investigating data issues, and collaborating with BI or data engineering teams for root cause analysis will also be part of your role. Effective communication of analytical insights to stakeholders is crucial in this position. The ideal candidate must possess excellent communication skills, have at least 5 years of experience in data analytics, BI analytics, or BI engineering roles, and exhibit expert-level proficiency in SQL. Proficiency in data visualization tools like Tableau, Looker, or Domo is essential, along with a strong grasp of data modeling principles and best practices. Hands-on experience with cloud data warehouses such as Snowflake, Redshift, BigQuery, SQL Server, or Oracle is required. Intermediate-level proficiency in spreadsheet tools like Excel, Google Sheets, or Power BI is necessary, including functions, pivots, and lookups. A Bachelor's or advanced degree in a relevant field like Data Science, Computer Science, Statistics, Mathematics, or Information Systems is preferred. The ability to collaborate with cross-functional teams, including BI engineers, to enhance reporting solutions is vital. Experience in managing large-scale enterprise data environments is advantageous, and familiarity with data governance, data cataloging, and metadata management tools is a plus. This is a full-time position with benefits such as health insurance, paid time off, and Provident Fund. The work schedule is Monday to Friday, and the job requires in-person presence. Education requirements include a Bachelor's degree, and candidates should have at least 5 years of experience in data analytics and 2 years of experience with Tableau. Job Type: Full-time Benefits: - Health insurance - Paid time off - Provident Fund Schedule: Monday to Friday Education: Bachelor's (Required) Experience: - Data analytics: 5 years (Required) - Tableau: 2 years (Required) Work Location: In person,

As a Financial Manager, your main responsibilities will include preparing accurate financial reports on a monthly, quarterly, and annual basis. You will conduct variance analysis, identify trends, and provide valuable insights to support strategic decision-making. In addition, you will be responsible for monitoring daily cash positions, forecasting cash requirements, and ensuring optimal liquidity to meet operational needs. You will play a key role in leading the annual budgeting process, collaborating with department heads to prepare, analyze, and track departmental budgets effectively. Your role will also involve overseeing day-to-day accounting functions, ensuring timely entries of all transactions, and maintaining accurate general ledger and reconciliations. It will be essential to ensure adherence to financial policies, regulatory compliance, and provide support for internal/external audits. To be successful in this role, you should hold a Bachelor's or Master's degree in Finance, Accounting, or a related field. Professional certifications such as CA, CMA, CPA are preferred. A minimum of 8 years of relevant experience in financial management and analysis is required. Proficiency in Advanced Excel and data visualization tools is essential. Strong analytical, organizational, and problem-solving skills are crucial, along with excellent communication and stakeholder management abilities. Preferred attributes include prior experience in budgeting and forecasting for mid to large-scale businesses, the ability to work independently and as part of a cross-functional team, and being detail-oriented with a high level of accuracy.,

As a Managing Consultant in Marketing Services at Mastercard, you will be a key member of the Advisors & Consulting Services group, which specializes in Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Your primary responsibility will be to lead the strategy development and implementation of marketing campaigns and engagements for clients. Leveraging customer data, you will provide expertise in direct marketing across various channels, analyzing campaign results, and adjusting strategies to optimize marketing performance. Your role will involve leading client engagements in diverse industries, developing and executing marketing strategies for large clients, and fostering strong relationships with mid-level to senior client stakeholders. You will collaborate with internal teams to deliver effective marketing strategies and recommendations, while also providing mentorship and guidance to junior consultants. To qualify for this position, you should hold an undergraduate degree and possess experience in marketing and campaign projects, with expertise in areas such as digital marketing, media management, and direct response marketing. Additionally, you should have demonstrated skills in team management, relationship building, business development, and project scoping. Proficiency in Word, Excel, and PowerPoint is essential, along with the ability to manage multiple tasks in a fast-paced environment. Preferred qualifications include additional experience in marketing fields like SEO, video production, and usability labs, as well as knowledge of data visualization tools and global supply chain management. An MBA or master's degree in marketing or digital is a plus but not mandatory. If you are looking to join a dynamic team that focuses on driving impactful marketing strategies for clients and developing innovative solutions, this role as a Managing Consultant in Marketing Services at Mastercard may be the perfect fit for you. Apply now to explore this exciting opportunity and contribute to shaping the future of marketing services.,

As a Senior UX/UI Designer at Novatro, you will play a crucial role in leading the user experience strategy for our AI-powered Intelligent Manufacturing Platform. You will have the opportunity to establish the design vision for our product suite, aligning design decisions with business objectives and influencing the product roadmap through user-centered design insights and research. Your key responsibilities will include: Design Leadership & Strategy: - Lead the design strategy and vision for the entire product suite - Establish design principles, standards, and methodologies that scale with company growth - Mentor development team members on design thinking and user-centered development practices - Drive design critiques, workshops, and cross-functional collaboration sessions - Influence product roadmap and feature prioritization through design insights and user research Advanced Product Interface Design: - Design intuitive and engaging user interfaces for our manufacturing platform across web and mobile applications - Create user flows, wireframes, prototypes, and high-fidelity mockups for new features and enhancements - Develop and maintain a comprehensive design system and component library - Ensure consistent visual design language and brand alignment across all product touchpoints - Design data visualization interfaces for complex manufacturing analytics User Experience Research & Strategy: - Conduct user research through various methods to identify pain points and opportunities for improvement - Create detailed user personas, journey maps, and use case scenarios specific to manufacturing environments - Collaborate with product management to define feature requirements based on user needs - Establish UX metrics and conduct regular usability assessments Cross-functional Collaboration: - Work closely with development teams to ensure design feasibility and implementation - Partner with product managers to translate business requirements into user-centered design solutions - Collaborate with sales and customer success teams to understand client needs and feedback - Present design concepts and rationale to stakeholders and leadership Design Operations & Process: - Establish design workflows, processes, and best practices for the team - Create and maintain design documentation, style guides, and asset libraries - Set up design tools, systems, and collaboration processes - Implement design review processes and quality assurance standards - Advocate for user-centered design principles throughout the organization Manufacturing Domain Understanding: - Develop a deep understanding of manufacturing processes, operations, and user contexts - Design for various user types in manufacturing environments - Consider unique constraints of industrial settings and varying technical literacy Qualifications: - 5-8 years of UX/UI design experience in B2B software - Bachelor's degree in Design, HCI, Computer Science, or related field - Proficiency in design tools such as Figma, Sketch, Adobe Creative Suite - Strong portfolio demonstrating design leadership and measurable impact on user outcomes - Experience in scaling design systems and leading cross-functional teams If you are passionate about driving efficiency and growth through cutting-edge technology solutions and have a track record of delivering measurable improvements in user satisfaction and business metrics, we encourage you to apply by sending your resume and portfolio to careers@novatro.ai with the subject line "Senior UX/UI Designer Application - [Your Name]".,

As a GCP Data Engineer with expertise, you will be responsible for managing, maintaining, and troubleshooting cloud data pipelines. The ideal candidate should have over 5 years of industry experience in Data Engineering support and enhancement. You will need to be proficient in any Cloud Platform services (GCP, Azure, AWS, etc.) and have a strong understanding of data pipeline architectures and ETL processes. Your role will involve leveraging your excellent Python programming skills for data processing and automation, along with SQL query writing skills for data analysis and experience with relational databases. Additionally, familiarity with version control systems like Git is required. Your responsibilities will include analyzing, troubleshooting, and resolving complex data pipeline issues. You will utilize your software engineering experience to optimize data pipelines, improve performance, and enhance reliability. It is essential to continuously optimize data pipeline efficiency, reduce operational costs, automate repetitive tasks in data processing, and monitor and alert for Data Pipelines. You will be expected to perform SLA-oriented monitoring for critical pipelines and implement improvements post-business approval for SLA adherence if needed. Moreover, your role will involve monitoring the performance and reliability of data pipelines, Informatica ETL workflows, MDM, and Control-M jobs. Conducting post-incident reviews, implementing improvements for data pipelines, and developing/maintaining documentation for data pipeline systems and processes are crucial aspects of the job. Experience with Data Visualization using Google Looker Studio, Tableau, Domo, Power BI, or similar tools is considered an added advantage. To qualify for this position, you should possess a Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience. Holding any Cloud Professional Data Engineer certification will be an added advantage. Excellent verbal and written communication skills are necessary for effective collaboration and documentation. Strong problem-solving and analytical skills are key to addressing challenges in data engineering. TELUS Digital is an equal opportunity employer committed to creating a diverse and inclusive workplace that values merit, competence, and performance without regard to any characteristic related to diversity.,

The role focuses on implementing tools and strategies to analyze large volumes of data, identifying trends, and transforming information into valuable business insights. You will be responsible for setting up information formats and customized views for stakeholders in leadership, marketing, and sales roles throughout the organization. As a data-product owner, you will lead the translation of business requirements into data projects and vice versa, ensuring that data solutions address specific business challenges effectively. Collaborating with internal stakeholders from various departments like SFE, CRM, Marketing, Ethical & Trade Sales, MI, and Finance, you will identify opportunities to implement data-driven solutions. Your responsibilities will include actively contributing to the business intelligence plan, BI environment, and tools, as well as developing a strategic roadmap for Data & Analytics, incorporating Data Science into ANI India's overall Customer/Channel/Sales Force engagement strategy. Moreover, you will create reports and models for forecasting, trending, and predictive analytics, managing ad-hoc reporting, dashboarding, and analytics requirements. By driving data mining efforts and presenting key strategic solutions to business stakeholders for real-time decision-making, you will leverage both traditional (e.g., data lake) and advanced technologies like data science and AI. Furthermore, you will enhance data-based storytelling by summarizing analysis points and effectively visualizing them using BI delivery platforms. The ideal candidate should have over 6 years of experience and prior exposure in Pharma, FMCG, or FMHG sectors would be advantageous. Proficiency in tools such as SQL, SAS, Tableau, MS Excel, Power BI, Adobe Analytics, etc., is required for this role.,

We are looking for a highly skilled Workday Finance Consultant to provide support and optimization for Workday Financial Management applications, specifically focusing on Record to Report, Contract to Cash, and Financial Integrations. The ideal candidate will possess a strong expertise in Workday Finance configuration, troubleshooting, and business process improvements. Your responsibilities will include: - Expertise in Financial Modules like Contract to Cash and Record to Report - System Configuration & Support: Configuring and maintaining Workday Financials, including business processes, security, and reporting. - Business Process Optimization: Collaborating with finance teams to enhance workflows, automate processes, and drive efficiency. - Integration & Data Management: Supporting integrations with third-party systems, ensuring data accuracy, and troubleshooting issues. - Workday Releases & Enhancements: Analyzing, testing, and implementing new Workday features, updates, and enhancements. - Reporting & Analytics: Developing custom reports and dashboards using Workday Reporting and Prism Analytics. - Issue Resolution & User Support: Providing functional and technical support, troubleshooting issues, and training end users. - Governance & Compliance: Ensuring system controls align with financial regulations, audits, and company policies. - Leading the development and implementation of geospatial analysis projects using Workday tools. - Overseeing the integration of Workday Studio and Workday Integrations to ensure seamless data flow. - Providing technical expertise in creating and maintaining Workday (Technical) Reports. - Collaborating with finance teams to develop and optimize Workday (Finance) models. - Ensuring data accuracy and integrity in all geospatial and Workday-related tasks. - Developing and maintaining documentation for all geospatial and Workday processes. - Conducting regular audits and assessments to identify areas for improvement. - Training and supporting team members on the use of Workday tools and geospatial analysis techniques. - Monitoring and analyzing geospatial data to provide actionable insights for business decisions. - Working closely with stakeholders to understand their requirements and deliver customized solutions. - Staying updated with the latest trends and advancements in geospatial analysis and Workday technologies. - Contributing to the continuous improvement of processes and methodologies within the team. - Ensuring compliance with company policies and industry regulations in all tasks. Qualifications: - Strong technical skills in Workday Studio, Workday Integrations, and Workday (Technical) Reports. - Experience in developing and optimizing Workday (Finance) models. - Expertise in geospatial analysis and data visualization techniques. - Excellent problem-solving and analytical skills. - Proficiency in creating and maintaining technical documentation. - Strong communication and collaboration abilities. - Keen eye for detail and commitment to data accuracy and integrity. - Adaptability and openness to learning new technologies and methodologies. - Ability to work independently and as part of a team. - Proactive approach to identifying and addressing issues. - Commitment to continuous improvement and professional development. - Understanding of industry regulations and compliance requirements. - Effective training and support for team members in technical skills. Certifications Required: - Workday Record to Report - Workday Contract to Cash - Workday Integrations Core and Studio,

We are searching for a Senior Business Systems Analyst to lead the optimization of Slack Enterprise Grid and other collaboration tools that drive productivity and collaboration within our organization. As the Senior Business Systems Analyst, you will play a crucial role in developing and executing the strategy for Slack Enterprise Grid and other collaboration tools, focusing on workflow optimization, enhancing cross-functional collaboration, and driving process improvements. Your responsibilities will include establishing governance frameworks, managing change initiatives, ensuring compliance with security and data policies, and collaborating closely with IT, security, and compliance teams to mitigate risks and respond to incidents effectively. By leveraging user feedback and collaboration trends, you will identify opportunities for automation and efficiency enhancements, aligning collaboration tools with business objectives and evolving organizational requirements through strategic planning and continuous innovation. In this role, you will: - Lead the optimization and user adoption of Slack Enterprise Grid and other collaboration tools, such as Asana and Lucid Spark, aligning tool capabilities with business needs and enhancing workflows. - Develop and implement governance frameworks for Slack and other platforms, ensuring policy compliance, security, and alignment with organizational objectives. - Drive change management efforts to support new feature rollouts, best practices, and integrations, ensuring user adoption and minimal disruption. - Analyze tool usage, gather user feedback, and identify opportunities to enhance platform performance and engagement. - Define and monitor key performance indicators (KPIs) to evaluate the business impact of collaboration tools and drive continuous improvements. - Prioritize enhancements based on business impact and user needs, maintain a feature request and process improvement backlog, and standardize license management processes. - Collaborate with IT Security and Compliance teams to manage risk, incident response, and security protocols related to collaboration tools. - Stay informed about industry trends, emerging Slack features, and innovative integrations to boost productivity. - Develop personas and use cases to guide Slack governance, automation, and customization based on real employee needs and facilitate stakeholder meetings to ensure alignment with business goals. Qualifications: - 6+ years of experience in business systems analysis or IT project management. - Proficiency in Slack Enterprise Grid, project management software, software license management, and SDLC methodologies. - Experience in defining KPIs, automation tools, data analysis, and effective communication skills. - Preferred expertise in Slack optimization, strategic planning, change management, analytical skills, and collaboration with stakeholders. Please note that candidates must be physically located and plan to work from Karnataka or Maharashtra. Zendesk offers a hybrid work experience that combines onsite collaboration with remote work flexibility, emphasizing connection, learning, and celebration. If you require accommodations due to a disability, please contact peopleandplaces@zendesk.com with your specific request.,

A spectacular opportunity awaits those who are passionate about Data Analytics. We are looking for dedicated, committed fast learners to be fast-tracked into a Senior Data Analyst position. You may be a graduate in Engineering, Mathematics, Statistics, or any other domain. In fact, your present professional background or educational background does not matter. Remember, all you need to prove is you are worthy of the role over the 3-month duration by showcasing your attitude, talent, skills, and EQ. The hands-on training program is completely free. We will impart you the requisite knowledge and exposure to an awesome work culture that will kickstart your career in Data Analytics once and for all. And yes, we prefer to have Gen Z candidates in. Responsibilities - Translating business user stories to technical requirements - Identifying challenges in day-to-day business activities - Extracting complex data from different data sources and maintaining the database - Creating insights and identifying underlying patterns from complex data - Applying different statistical techniques to interpret the data - Working with a team or individually towards the goals - Prioritizing activities and on-time action to streamline daily activities Key Skills Requirements - Excellent communication and interpersonal skills - At least 3-5 years of experience in any domain is required for the position - Proficiency in database or data models and knowledge in analytics tools like Tableau, Power BI, Excel VBA Macros, SPSS, SAS is preferred - Deliver results driven with analytical and numeric skills and possess the capability to convey data story through visualization - A team player capable of working and integrating across cross-functional teams for implementing project requirements - Extensive experience in technical requirements gathering and documentation will be considered as an added advantage - An ability to work effectively and independently in a fast-paced agile environment with tight deadlines - Be a flexible, pragmatic, and collaborative team player with an innate ability to engage with stakeholders at all levels in the organization - Excellent attention to details - Proficiency in adaptive learning that involves the ability to quickly acquire domain knowledge and efficiency in the successful application of it to business analysis - Willingness to travel onsite as required Perks: Careers at Beinex - Comprehensive Health Plans - Learning and development - Workation and outdoor training - Hybrid working environment - On-site travel Opportunity - Beinex Branded Merchandise,

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, the mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. In collaboration with leading academics, industry experts, and highly skilled engineers, the goal is to equip customers to generate sophisticated new insights from the biggest of big data. Join the team to do the best work of your career and make a profound social impact as an Advisor on the Data Science Team in Bangalore. As a Data Science Advisor, you will contribute to the business strategy and influence decision-making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. Designing processes to consolidate and examine unstructured data to generate actionable insights will be part of your responsibilities. Additionally, you will partner with business leaders, engineers, and industry experts to construct predictive models, algorithms, and probability engines. You will: - Partner with internal and external teams to understand customer requirements and develop proposals. - Conduct interactions with external customers to gather project requirements, provide status updates, and share analytical insights. - Implement preliminary data exploration and data preparation steps for model development/validation. - Apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights. - Solution, build, deploy, and set up monitoring for models. Qualifications: - 6+ years of related experience with proficiency in NLP, Machine Learning, Computer Vision, and GenAI. - Working experience in data visualization (e.g., Power BI, matplotlib, plotly). - Hands-on experience with CNN, LSTM, YOLO, and database skills including SQL, Postgres SQL, PGVector, and ChromaDB. - Proven experience in MLOps and LLMOps, with a strong understanding of ML lifecycle management. - Expertise with large language models (LLMs), prompt engineering, fine-tuning, and integrating LLMs into applications for natural language processing (NLP) tasks. Desirable Skills: - Strong product/technology/industry knowledge and familiarity with streaming/messaging frameworks (e.g., Kafka, RabbitMQ, ZeroMQ). - Experience with cloud platforms (e.g., AWS, Azure, GCP). - Experience with web technologies and frameworks (e.g., HTTP/REST/GraphQL, Flask, Django). - Skilled in programming languages like Java or JavaScript. Dell Technologies is committed to providing equal employment opportunities for all employees and creating a work environment free of discrimination and harassment. If you are looking for an opportunity to grow your career with advanced technology and some of the best minds in the industry, this role might be the perfect fit for you. Join Dell Technologies to build a future that works for everyone because Progress Takes All of Us.,

As a Data Analyst, your primary responsibility will be to gather relevant data from multiple sources, including internal databases, financial systems, and external research materials. It will be crucial for you to ensure the accuracy and integrity of the collected data. You will utilize statistical methods, data analysis tools, and research software to identify trends, patterns, and insights within the data. This may involve analyzing historical data, forecasting performance, and building models to support decision-making processes. Conducting thorough research on market trends, customer behavior, competitor activities, and industry developments will be an essential part of your role. By doing so, you will be able to identify opportunities and potential challenges that may impact the organization. Your responsibilities will also include preparing comprehensive reports and presentations that clearly communicate your findings, actionable recommendations, and insights to stakeholders, including management and other departments. Effective communication through reports and presentations is key to ensuring that your insights are understood and acted upon. Collaboration with cross-functional teams, such as marketing, finance, and product development, will be necessary to understand analytical needs and provide data-driven recommendations. Working closely with different departments will allow you to tailor your analyses to meet the specific requirements of each team. You will also be responsible for creating visualizations, such as charts and graphs, to effectively communicate complex data and research findings. Visual representations of data can help stakeholders grasp the insights more easily and make informed decisions based on the information presented. Please note that the age limit for this position is between 20 to 30 years. This is a full-time, permanent job opportunity suitable for freshers. The work location for this role is in person, requiring your presence at the designated office location.,

About the job: This is a full-time on-site role for a Data science Trainer located in Nadaun. The Trainer will be responsible for conducting training sessions, developing training materials, and providing guidance to learners in data analytics. Day-to-day tasks include creating lesson plans, delivering lectures, assessing learner progress, and offering personalized support. The trainer will also collaborate with other trainers and staff to ensure quality training and continuous improvement of the curriculum. 1. Strong Analytical Skills and proficiency in Data Analytics. 2. Expertise in Statistics and Data Modeling. 3. Excellent Communication skills. 4. Prior experience in teaching or training is a plus. 5. Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field. 6. Ability to engage and inspire learners. 7. Strong organizational and planning skills. Who can apply: Only those candidates can apply who: Salary: ₹ 2,50,000 - 3,10,000 /year Experience: 0 year(s) Deadline: 2025-08-30 23:59:59 Other perks: Informal dress code, 5 days a week, Free snacks & beverages, Health Insurance Skills required: Python, SQL, Machine Learning, Statistics, Data Visualization, Data Analysis, Data Manipulation and Probability Other Requirements: 1. R PROGRAMMING (OPTIONAL) 2. DEEP LEARNING (OPTIONAL BUT VALUABLE) 3. BIG DATA TECHNOLOGIES (OPTIONAL) 4. CLOUD PLATFORMS (OPTIONAL) About Company: At Shivshakti Consultancy & Training Institute, we specialize in designing programs that equip individuals with the skills needed to excel in the rapidly evolving tech world. Our extensive expertise in IT domains enables us to deliver impactful results for both clients and learners. We are passionate about harnessing technology to transform lives and careers. Through Shivshakti Consultancy & Training Institute, We aim to build a legacy of excellence, inspiring individuals to dream big, think creatively, and harness the power of technology to achieve their goals. Together, we are shaping the leaders, and changemakers of tomorrow.

As a valued member of Infosys Consulting, you will play a crucial role in supporting large Oil & Gas/Utilities prospects by showcasing Infosys" unique value proposition through practical use cases across the value chain. Your responsibilities will include gathering, identifying, and documenting business requirements, as well as creating functional specifications for new systems and processes. Utilizing your expertise in assessing current processes, conducting gap analyses, and designing future processes, you will recommend changes and drive continuous improvement using methodologies such as Six Sigma and Lean. In your role, you will be involved in Technology Project Management, which includes overseeing technology vendors and client stakeholders. You will also manage large projects and programs in a multi-vendor, globally distributed team environment, leveraging Agile principles and DevOps capabilities. Collaboration with the IT Project Management Office will be essential as you support the implementation of client-specific digital solutions, from business case development to IT strategy and tool/software selection. Your expertise in designing and implementing scalable data pipelines, ETL/ELT workflows, and optimized data models across cloud data warehouses and lakes will enable reliable access to high-quality data for business insights and strategic decision-making. You will also be responsible for building and maintaining dashboards, reports, and visualizations using tools like Power BI and Tableau, while conducting deep-dive analyses to evaluate business performance and identify opportunities. Collaboration with business stakeholders to translate strategic objectives into data-driven solutions, defining KPIs, and enabling self-service analytics will be a key aspect of your role. Additionally, you will work closely with client IT teams and business stakeholders to uncover opportunities and derive actionable insights. Participation in internal firm-building activities and supporting sales efforts for new and existing clients through proposal creation and sales presentation facilitation will also be part of your responsibilities. To qualify for this position, you should have at least 3-5 years of experience in data engineering, ideally within the Oil & Gas or Utilities sector. Strong communication skills, both written and verbal, are essential, along with a proven track record in business analysis, product design, or project management. A Bachelor's degree or Full-time MBA/PGDM from Tier 1/Tier 2 B-Schools in India or a foreign equivalent is required. Preferred qualifications include knowledge of digital technologies and agile development practices, as well as the ability to work effectively in a cross-cultural team environment. Strong teamwork, communication skills, and the ability to interact with mid-level managers of client organizations are highly valued. This position is preferred to be located in Electronic City, Bengaluru, but other locations such as Hyderabad, Chennai, Pune, Gurgaon, and Chandigarh are also considered based on business needs. Please note that the job may require extended periods of computer work and communication via telephone, email, or face-to-face interactions.,

As a Data Architect Vice President based in Chennai, you will play a crucial role in designing, developing, and implementing solutions to solve complex business problems. Your primary responsibility will be collaborating with stakeholders to understand their needs and requirements, and designing and implementing solutions that meet those needs while creating solutions that balance technology risks against business delivery. You will be driving consistency in data architecture and platform design, ensuring they align with policy and technical data standards. Your role will involve translating business/use case requirements into logical and physical data models, serving as the foundation for data engineers to build data products. This includes capturing requirements from business teams, translating them into data models while considering performance implications, and testing models with data engineers. Continuous monitoring and optimization of the performance of these models will be essential to ensure efficient data retrieval and processing. You will collaborate with the CDA team to design data product solutions, covering data architecture, platform design, and integration patterns. Additionally, you will work with the technical product lead on data governance requirements, including data ownership of data assets and data quality lineage and standards. Partnering with business stakeholders to understand their data needs and desired functionality for the data product will also be a key aspect of your role. To be successful in this role, you should have experience with cloud platform expertise (specifically AWS), big data technologies such as Hadoop and data warehousing analytics like Teradata and Snowflake processes, SQL/scripting, data governance, and quality. It is crucial to have the ability to engage with business stakeholders, tech teams, and data engineers to define requirements, align data strategies, and deliver high-value solutions. Proven experience leading cross-functional teams to execute complex data architectures is also required. Some additional skills that would be highly valued include advanced cloud services familiarity, data orchestration and automation, performance tuning and optimization, and data visualization. You may be assessed on key critical skills relevant for success in this role, such as risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology, in addition to job-specific technical skills. The purpose of this role is to design, develop, and implement solutions to complex business problems, collaborating with stakeholders to understand their needs and requirements, and design and implement solutions that meet those needs while creating solutions that balance technology risks against business delivery, driving consistency. Your accountabilities will include designing and developing solutions as products that can evolve to meet business requirements aligned with modern software engineering practices and automated delivery tooling. You will need to apply targeted design activities that maximise the benefit of cloud capabilities and adopt standardised solutions where they fit, feeding into their ongoing evolution where appropriate. Additionally, you will provide fault finding and performance issue support to operational support teams, among other responsibilities. As a Vice President, you are expected to contribute or set strategy, drive requirements, and make recommendations for change. If you have leadership responsibilities, you should demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. For individual contributors, you are expected to be a subject matter expert within your own discipline and guide technical direction, leading collaborative multi-year assignments and coaching less experienced specialists. Overall, you are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, along with the Barclays Mindset of Empower, Challenge, and Drive in your day-to-day work.,

Adient is a leading global automotive seating supplier, supporting all major automakers in the differentiation of their vehicles through superior quality, technology, and performance. We are seeking a Sr. Data Analytics Lead to help build Adients data and analytics foundation, directly benefitting our internal business units, and our Consumers. You are self-motivated and data-curious, especially about how data can be used to optimize business opportunities. In this role you will own projects end-to-end, from conception to operationalization, demonstrating your comprehensive understanding of the full data product development lifecycle. You will employ various analytical techniques to solve complex problems, drive scalable cloud data architectures, and deliver data products to enhance decision making across the organization. In this role, you will also own the technical support for released applications being used by internal Adient teams. This includes the daily triage of problem tickets and change requests. You will have 2-3 developer direct reports to accommodate this support as well as new development. The successful candidate can lead medium to large scale analytics projects requiring minimal direction, is highly proficient in SQL and cloud-based technologies, has good communication skills, takes the initiative to explore and tackle problems, and is an effective people leader. The ideal candidate will be working within Adients Advanced Analytics team. You will be a part of an empowered, highly capable team collaborating with Business Relationship Managers, Product Owners, Data Engineers, Production Support, and Visualization Developers within multiple business units to understand the data analytics needs and translate those requirements into world-class solution architectures. You will lead and mentor a team of solution architects to research, analyze, implement, and support scalable data product solutions that power Adients analytics across the enterprise, and deliver on business priorities. Own technical support for released internal analytics applications. This includes the daily triage of problem tickets and change requests. Lead development and execution of reporting and analytics products to enable data-driven business decisions that will drive performance and lead to the accomplishment of annual goals. You will be leading, hiring, developing, and evolving the Analytics team and providing them technical direction with the support of other leads and architects. Understand the road ahead and ensure the team has the skills and tools necessary to succeed. Drive the team to develop operationally efficient analytic solutions. Manage resources/budget and partner with functional and business teams. Advocate sound software development practices and help develop and evangelize great engineering and organizational practices. You will be leading the team that designs and builds highly scalable data pipelines using new generation tools and technologies like Azure, Snowflake, Spark, Databricks, SQL, Python to induct data from various systems. Work with product owners to ensure priorities are understood and direct the team to support the vision of the larger Analytics organization. Translate complex business problem statements into analysis requirements and work with internal customers to define data product details based on expressed partner needs. Work closely with business and technical teams to deliver enterprise-grade datasets that are reliable, flexible, scalable, and provide low cost of ownership. Develop SQL queries and data visualizations to fulfill internal customer application reporting requirements, as well as ad-hoc analysis requests using tools such as PowerBI. Thoroughly document business requirements, data architecture solutions, and processes for business and technical audiences. Serve as a domain specialist on data and business processes within your area of focus and find solutions to operational or data issues in the data pipelines. Grow the technical ability of the team. QUALIFICATIONS - Bachelors Degree or Equivalent with 8+ years of experience in data engineering, computer science, or statistics field with at least 2+ years of experience in leadership/management. - Experience in developing Big Data cloud-based applications using the following technologies: SQL, Azure, Snowflake, PowerBI. - Experience building complex ADF data pipelines and Data Flows to ingest data from on-prem sources, transform, and sink into Snowflake. Good understanding of ADF pipelining Activities. - Familiar with various Azure connectors to establish on-prem data-source connectivity, as well as Snowflake data-warehouse connectivity over private network. - Lead/Work with hybrid teams, communicate effectively, both written and verbal, with technical and non-technical multi-functional teams. - Translate complex business requirements into scalable technical solutions meeting data warehousing design standards. Solid understanding of analytics needs and proactive-ness to build generic solutions to improve efficiency. - Experience with data visualization and dashboarding techniques to make complex data more accessible, understandable, and usable to drive business decisions and outcomes. Efficient in PowerBI. - Extensive experience in data architecture, defining and maintaining data assets, and developing data architecture strategies to support reporting and data visualization tools. - Understands common analytical data models like Kimball. Ensures physical data models align with best practice and requirements. - Thrives in a dynamic environment, keeping composure and a positive attitude. - A plus if your experience was in distribution or manufacturing organizations. PREFERRED - Experience with Snowflake cloud data warehouse. - Experience with Azure PaaS services. - Experience with TSQL, SQL Server, Azure SQL, Snowflake SQL, Oracle SQL. - Experience with Azure Storage account connectivity. - Experience developing visualizations with PowerBI and BusinessObjects. - Experience with Databricks. - Experience with ADLS Gen2. - Experience with Azure VNet private endpoints on a private network. - Proficient with Spark and Python. - Advanced proficiency in SQL, joining multiple data sets across different data grains, query optimization, pivoting data. - MS Azure Certifications. - Snowflake Certifications. - Experience with other leading commercial Cloud platforms like AWS. - Experience with installing and configuring ODBC, JDBC drivers on Windows. - Candidate resides in the Plymouth MI area. PRIMARY LOCATION Pune Tech Center.,

You will be joining LTIMindtree, a global technology consulting and digital solutions company that empowers enterprises to rethink business strategies, drive innovation, and achieve growth through digital technologies. With a team of over 86,000 professionals in more than 30 countries, LTIMindtree collaborates with 700+ clients to provide domain expertise and technological solutions for competitive advantage, enhanced customer experiences, and business success in today's fast-paced world. As a Data Scientist/Lead/Architect, your responsibilities will include developing AI and machine learning models using Microsoft Azure AI tools like Azure Machine Learning Cognitive Services and OpenAI integration. You will support data collection, cleaning, and preprocessing for structured, unstructured, and geospatial datasets, including data from Esri platforms. Collaborating with software engineers, data scientists, GIS analysts, and business stakeholders, you will integrate AI functionality into modern mobile and web applications. Additionally, you will build, deploy, and monitor AI solutions using Azure to ensure scalability and performance. Your role will also involve creating and maintaining technical documentation, participating in product planning and agile development meetings, and staying updated on the latest advancements in Microsoft AI, including Responsible AI practices and Azure OpenAI capabilities. You will champion the adoption of AI and GIS technologies within the organization through demos, technical workshops, and stakeholder presentations. To excel in this role, you should have proficiency in Python and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. Hands-on experience with Microsoft Azure tools for AIML model training, deployment, and monitoring is essential. Familiarity with Esri's ArcGIS platform, Python-based tools like ArcPy, and understanding of spatial data, GIS workflows, and data visualization using maps are required. Strong problem-solving skills, attention to detail, and clear communication abilities with both technical and non-technical audiences are key for success in this position. Preferred skills include experience with Azure Machine Learning Cognitive Services, Power Platform, Power BI, Power Automate, cloud-native architectures, DevOps practices, Esri products like ArcGIS Online, ArcGIS Pro, and ArcGIS Enterprise, as well as exposure to containerization, Docker, REST APIs, and deploying ML models into production environments. An interest in NLP, computer vision, or predictive analytics in a GIS context will be advantageous. For qualifications, a Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Geographic Information Systems, or related fields is required, while a Master's degree is a plus. Internship or project experience applying AIML techniques using Microsoft tools and cloud services is preferred. Motivation to stay current with evolving Azure AI and GIS technologies, excellent interpersonal, organizational, and written communication skills, and the ability to manage multiple priorities and deliver high-quality work in a fast-paced, agile development environment are essential qualities for this role. LTIMindtree is committed to being an equal opportunity employer and promotes diversity and inclusion initiatives to create a gender-sensitive and inclusive work environment. These initiatives focus on the development, engagement, growth, and retention of women in the workplace.,

As a Business Analyst at DataFlow Group, your role is crucial in guiding the organization towards the future by researching progressive system solutions, evaluating their impacts, and developing innovative solutions in the ever-changing digital landscape. You will collaborate closely with senior leadership to understand strategic goals, key performance indicators, and critical information needs. By facilitating workshops, interviews, and other elicitation techniques, you will gather detailed business requirements for corporate analytics dashboards and ensure alignment with the overall business strategy. Translating high-level business requirements into detailed user stories with clear acceptance criteria for the development team will be a key responsibility. You will work with data owners and subject matter experts to understand data sources, quality, and governance policies, collaborating on data mapping and transformation logic. Partnering with UI/UX designers and the development team, you will conceptualize dashboard layouts, visualizations, and user interactions that communicate key insights effectively to senior stakeholders. Act as the central point of contact between senior leadership and the development team, proactively communicating progress, challenges, and key decisions to all stakeholders throughout the project lifecycle. You will prioritize dashboard development based on business value and strategic importance, maintaining and grooming the product backlog to reflect current priorities and requirements. Supporting the testing phase, participating in user acceptance testing, and ensuring delivered dashboards meet defined requirements and acceptance criteria are crucial tasks. Developing and delivering training materials and documentation for senior users on utilizing new dashboards and interpreting data, gathering feedback post-implementation, and identifying areas for improvement are part of your responsibilities. Staying updated with industry best practices in business intelligence, data visualization, and analytics is essential. Your qualifications include a Bachelor's degree in Business Administration, Computer Science, Information Systems, Economics, Finance, or a related field. With a minimum of 10+ years of experience as a Business Analyst, focusing on business intelligence, data analytics, and dashboard development projects. Strong communication, presentation, and interpersonal skills are required to effectively communicate with both business and technical audiences. Additionally, experience with Agile methodologies and common business intelligence tools is preferred. In this role, you will play a vital part in shaping the future of DataFlow Group by leveraging your expertise in business analysis, data analytics, and dashboard development to drive strategic decision-making and innovation.,

The Logistics Decarbonization Lead at Holcim plays a crucial role in advancing sustainability goals by managing logistics emissions data, analysis, and reporting. You will collaborate with various cross-functional teams to align with Holcim's Net Zero targets. This position is based in Airoli - Navi Mumbai (Hybrid) and requires 5-10 years of experience in logistics, supply chain management, sustainability, or related fields. Your primary responsibilities include leading monthly carbon footprint reporting at different levels, maintaining consistency in carbon accounting models, and driving the implementation of carbon reduction initiatives. Additionally, you will engage with stakeholders through presentations, webinars, and newsletters to promote knowledge sharing and best practices in logistics decarbonization. To excel in this role, you should have a minimum of 3 years of experience in supply chain, logistics, or sustainability, with proficiency in data management, digital tools, and the Microsoft Office suite. Strong analytical, communication, and influencing skills are essential to succeed in this position. A collaborative mindset and engaging personality are also key attributes required for effective performance. If you are passionate about sustainability and innovation and possess the necessary qualifications and skills, this role offers an exciting opportunity to drive progress for people and the planet at Holcim.,

The Senior Risk Analyst, Loss Forecasting will be an organized and motivated team player with a strong sense of ownership. As a key member of the credit risk management team, you will be responsible for creating and tracking appropriate KPIs, developing and maintaining forecasting frameworks and processes, and serve as an active team player in credit reviews. You will develop and maintain forecasting, CECL, and Stress Testing models for fintech products and will be expected to find opportunities to enhance and automate existing processes. Craft dashboards to track KPIs around portfolio performance, including deep diving into credit strategies and their impact on it. Extend analytical support to advance fintech collections strategy and build forecasting frameworks for key collections KPIs. Use analytical techniques to mine loan characteristics/performance data to extract valuable insights for the business. Use data visualization techniques to develop relevant reports for Senior Management. Track industry environment and competitor landscape to support the business. Correlate Macro-Economic conditions with fintech internal loan performance to support recession readiness and long-run planning. Leverage forecasting outputs in the monthly allowance process (CECL) and identify areas where qualitative adjustment is needed. Support planning and budgeting exercises within the company by leveraging forecasting assumptions and outputs. Work closely with key partners to ensure forecast and allowance assumptions are accurate. About You 4+ years of experience in credit, analytics, IFRS9 and CECL, risk management, data science, or information management. Bachelors or masters degree with a quantitative background (e.g. Statistics, Math, Engineering, Economics). Strong technical skills such as SQL, SAS, R, and Python. Experience with BI/data visualization tools (like Tableau or Excel to create dashboards). Excellent written and verbal communication skills, including the ability to communicate project scope in documentation and presentation format. Experience in the Financial / FinTech industry is a plus. Previous experience with loss forecasting and collections analytics, allowance.,

The role involves owning the design and delivery of Data Analytics solutions based on business requirements, contributing from idea-generation to implementation under some supervision. You will work independently on consuming and preparing data for analytical use, translating business problems into data stories. Your responsibilities include delivering work that informs business decisions within your team's scope, leveraging data analysis and visualization skills to answer business questions and create insightful visualizations. You will collaborate with stakeholders and present data insights in a business-friendly manner. Flexibility is crucial in adopting internal Data Analytics approaches and expanding technical competencies. You will grow your craft skills while utilizing Data Analytics to impact well-defined business problems. Supporting junior peers through knowledge sharing and setting a good example is expected. Networking with craft peers beyond the team's scope and understanding Booking's data ecosystem are essential. Collaboration with peers in related crafts and ensuring the quality of your work through peer review are also part of the role. Communication with stakeholders, including business stakeholders, craft team, managers, leadership team, DSnA Community, and other tech crafts, is vital for cooperation, feedback, and providing data outcomes to steer the business. The communication frequency varies from frequent to occasional depending on the type of communication needed. A Master's degree and 2-4 years of basic job knowledge are required. Special knowledge and skills include being results-oriented, open to feedback, detail-oriented with a focus on the bigger picture, analytical, and having strong interpersonal skills. Experience in data analysis, data management, data visualization, and using tools like Tableau, Data Studio, PowerBI, etc., as well as familiarity with data analysis languages like R, SQL, Python, are necessary for this role.,