5249 Data Visualization Jobs - Page 7

You will be providing expert advice in a defined area of the finance function and offering financial and administrative support to company organizations for Finance programs. Your key responsibilities will include: - Demonstrating process and system expertise from a Segregation of Duty (SoD) perspective, collaborating with IT, Business, and FC&C community to enrich process knowledge. - Identifying automation opportunities within the SoD team and leading projects with digital tools such as Microsoft Power Automate, BOTs, Power BI, and Alteryx. - Working closely with Risk Owners and Process Owners to conduct User Access Reviews, Segregation of Duties, and Critical Action reviews efficiently and promptly. - Collaborating with stakeholders to evaluate SoD conflicts in SAP and other applications, consulting with business units to mitigate conflicts and implement risk controls. - Conducting quarterly SoD certifications with risk owners, driving continuous access controls improvement and sharing access controls updates and best practices with relevant communities. - Implementing automations in the SoD and Access Control area to enhance processes and challenge current practices. - Ensuring transparent stakeholder management, fostering a high-performance work culture, balancing team workload across multiple initiatives, and focusing on Continuous Improvement initiatives. - Supporting in maintaining low internal control deficiencies, timely reporting of deficiencies, adherence to SOX timelines, internal and external audits, and supporting remediation of agreed actions. Essential requirements for this role include: - Bachelor's degree in B tech, MBA, or equivalent - 3-8 years of post-qualification experience, including expertise in IT Application Controls, SAP GRC, and SAP security concepts - Proficiency in SAP GRC Access Controls, SAP authorization concepts, SAP role design, transactions, Authorization Objects, Org Values, Risk & Role Ownership, and understanding of business processes in SAP environment - Project management skills with a focus on driving performance and productivity - Certification in Information System Auditor (CISA) or Information Security Manager (CISM) Desirable requirements: - SAP GRC AC Certification - Experience in process automation and digital tools like Microsoft Power Automate, BOTs, Power BI, and Alteryx - Previous work experience in a large Audit firm, preferably Big-4 Internal/Statutory/SOX 404 Audit - Ability to influence key stakeholders, compliance and controls, data cleansing normalization, and data visualization using Alteryx, Power BI, etc. - Knowledge in employee engagement, financial, and management reporting. Novartis is dedicated to creating an inclusive work environment and diverse teams reflecting the patients and communities served. If you are passionate about making a difference and thrive in a collaborative, supportive environment, this role offers the opportunity to contribute to breakthroughs that impact patients" lives positively. Explore this exciting opportunity at Novartis and join our mission to create a brighter future together. Join our Novartis Network to stay connected and be informed about suitable career opportunities as they arise. For further details on benefits and rewards, refer to our handbook: [Novartis Benefits and Rewards Handbook](https://www.novartis.com/careers/benefits-rewards). **Division:** Finance **Business Unit:** Corporate **Location:** Hyderabad, India **Company / Legal Entity:** IN10 (FCRS = IN010) Novartis Healthcare Private Limited **Functional Area:** Audit & Finance **Job Type:** Full-time **Employment Type:** Regular **Shift Work:** No Novartis is committed to working with individuals with disabilities and providing reasonable accommodations. If you require accommodation during the recruitment process or to perform essential job functions due to a medical condition or disability, please contact [email protected] with your request and contact information, including the job requisition number.,

As a Pyspark Developer at Viraaj HR Solutions, you will be responsible for developing and maintaining scalable Pyspark applications for data processing. Your role will involve collaborating with data engineers to design and implement ETL pipelines for large datasets. Additionally, you will perform data analysis and build data models using Pyspark to derive insights. It will be your responsibility to ensure data quality and integrity by implementing data cleansing routines and leveraging SQL to query databases effectively. You will also create comprehensive data reports and visualizations for stakeholders, optimize existing data processing jobs for performance and efficiency, and implement new features and enhancements as required by project specifications. Participation in code reviews to ensure adherence to best practices, troubleshooting technical issues with team members, and maintaining documentation of data processes and system configurations will be part of your daily tasks. To excel in this role, you should possess a Bachelor's degree in Computer Science, Information Technology, or a related field, along with proven experience as a Pyspark Developer or in a similar role. Strong programming skills in Pyspark and Python, a solid understanding of the Spark framework and its APIs, and proficiency in SQL for managing and querying databases are essential qualifications. Experience with ETL tools and processes, knowledge of data visualization techniques and tools, and familiarity with cloud platforms such as AWS and Azure are also required. Your problem-solving and analytical skills, along with excellent communication skills (both verbal and written), will be crucial for success in this role. You should be able to work effectively in a team environment, adapt to new technologies and methodologies, and have experience in Agile and Scrum methodologies. Prior experience in data processing on large datasets and an understanding of data governance and compliance standards will be beneficial. Key Skills: agile methodologies, data analysis, team collaboration, Python, Scrum, Pyspark, data visualization, problem-solving, ETL tools, Python scripting, Apache Spark, Spark framework, cloud platforms (AWS, Azure), SQL, cloud technologies, data processing.,

As a Data Analyst (Treasury Mid office) at Propelld, you will be a part of the Treasury Debt & Lending Alliances department, located at Propelld Corporate Office in HSR Bangalore. As a fresher, you will work full-time with Propelld, a leading fintech NBFC known for providing innovative financial solutions in the education sector through data-driven analytics. Your primary responsibility will include gathering, analyzing, and presenting insights derived from large datasets related to loan performance, customer data, financial transactions, and treasury operations. You will be expected to utilize your strong proficiency in Excel to perform advanced data analysis, including pivot tables, VLOOKUPs, macros, and complex formulas to generate valuable insights. Additionally, you will play a key role in building and maintaining automated reports and interactive dashboards using Excel and Tableau to track key financial metrics. Your contribution in providing actionable insights and trends from financial and treasury-related data will support decision-making processes within the organization. Collaboration with product, marketing, and operations teams will be crucial as you work together to enhance business performance through data-driven recommendations. Conducting A/B testing and statistical analysis to evaluate business experiments and initiatives will be part of your responsibilities. Your qualifications as a preferred candidate include an MBA/CA/CFA degree along with a Bachelor's degree in Mathematics, Statistics, Economics, Finance, Computer Science, or a related field. Moreover, having 2-3 years of experience as a Treasury/Data Analyst in a fintech or NBFC environment is desirable. Your expertise in Excel, SQL, and data visualization tools such as Tableau and Power BI will be beneficial for this role. Attention to detail, commitment to data accuracy, and excellent communication skills are essential qualities that will help you in presenting data-driven insights to senior management and cross-functional teams. In return, Propelld offers a fast-paced work environment, competitive salary, comprehensive benefits, and opportunities for learning and growth within a collaborative and inclusive team culture.,

You are a highly skilled Technical Data Analyst with expertise in Oracle PL/SQL and Python, well-versed in data analysis tools and techniques. Your role involves leading and mentoring a team of data analysts to derive data-driven insights and contribute to key business decisions. Additionally, you will research and evaluate emerging AI tools for potential application in data analysis projects. Your responsibilities will include designing, developing, and maintaining complex Oracle PL/SQL queries and procedures for ETL processes. You will utilize Python scripting for data analysis, automation, and reporting, as well as perform in-depth data analysis to provide actionable insights for improving business performance. Collaborating with cross-functional teams, you will translate business requirements into technical specifications and maintain data quality standards across systems. Moreover, you will leverage data analysis and visualization tools like Tableau, Power BI, and Qlik Sense to create interactive dashboards and reports for stakeholders. It is essential to stay updated with the latest data analysis tools, techniques, and industry best practices, including advancements in AI/ML. You will also research and evaluate emerging AI/ML tools for potential application in data analysis projects. Preferred qualifications for this role include hands-on experience as a Technical Data Analyst with expertise in Oracle PL/SQL and Python, proficiency in Python scripting, and familiarity with data visualization tools like Tableau, Power BI, or Qlik Sense. Additionally, awareness of AI/ML tools and techniques in data analytics and practical experience applying these techniques in projects will be advantageous. Strong analytical, problem-solving, communication, and interpersonal skills are essential, along with experience in the financial services industry. Qualifications for this position include 0-2 years of relevant experience, programming/debugging skills used in business applications, knowledge of industry standards, specific business areas for application development, and program languages. Clear and concise written and verbal communication is consistently demonstrated. Education requirements include a Bachelor's degree or equivalent experience. This job description offers a high-level overview of the work involved, and additional job-related duties may be assigned as needed. Mandatory skills required for this role are Ab Initio, Oracle PL/SQL, and Unix/Linux, with a minimum of 2 years of hands-on Development experience.,

About Marriott: Marriott Tech Accelerator is part of Marriott International, a global leader in hospitality. Marriott International, Inc. is a leading American multinational company that operates a vast array of lodging brands, including hotels and residential properties. It consists of over 30 well-known brands and nearly 8,900 properties situated in 141 countries and territories. Role Title: Security Data Scientist Position Summary: Marriott International's Global Information Security is seeking an experienced Security Data Scientist who can combine expertise in cybersecurity with data science skills to analyze and protect Marriott's digital assets. Job Responsibilities: Perform data cleaning, analysis, and modeling tasks. Work under guidance of senior team members to: Analyze large datasets related to cybersecurity threats and incidents. Implement existing machine learning models and algorithms to detect anomalies and potential security breaches. Support SDL tools (e.g., big data, ML/AI technologies). Create data visualizations and reports to communicate insights to stakeholders. Collaborate with cybersecurity teams to implement data-driven security solutions. Stay up to date with the latest cyber threats and data science techniques. Help to maintain and document SDL MLOps processes and procedures. Skill and Experience: 2-4 years of data science, data analytics, data management, and/or information security experience that includes: 2+ years of experience in data science/data analytics in an enterprise environment. 1+ years of experience in information protection/information security. Strong background in statistics, mathematics, and software engineering (e.g., Proficiency in Python, R). Experience with machine learning algorithms and frameworks as well as AI techniques. Knowledge of cybersecurity principles, tools, and best practices. Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies. Understanding of data visualization tools like Power BI. Preferred: Programming languages: Python, R, SQL. Machine learning frameworks: TensorFlow, PyTorch, scikit-learn. Big data technologies: Hadoop, Spark, and Kafka. Cloud platforms: AWS, Azure, GCP. Data visualization tools: Tableau, Power BI. Relevant certifications such as data science certifications, CISSP, CEH. Verbal and written communication skills. Education and Certifications: Bachelor's degree in computer/data science, information management, Cybersecurity, or related field or equivalent experience/certification. Work location: Hyderabad, India. Work mode: Hybrid.,

As a Senior Data Scientist, you will lead data-driven projects and play a key role in shaping the data science strategy of the organization. Your responsibilities will include developing advanced algorithms, managing large-scale datasets, and providing mentorship to junior team members. You will design and implement complex statistical models and machine learning algorithms, ensuring high-quality deliverables from project conception to deployment. Additionally, you will guide junior data scientists, collaborate with business stakeholders to define project objectives, and deliver actionable insights. To be successful in this role, you should hold a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. With at least 5 years of experience in data science, you must demonstrate a proven track record of leading successful projects. Deep understanding of advanced machine learning techniques, including deep learning and ensemble methods, is essential. Proficiency in programming languages like Python or R, experience with big data technologies (e.g., Apache Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP), and advanced data visualization skills are required. Moreover, you should possess excellent problem-solving and analytical skills with a strategic mindset. Strong communication and leadership skills are crucial for effectively influencing stakeholders at all levels. You will be expected to present findings to executive leadership and recommend data-driven strategies for business growth. In terms of business needs, you should be able to meet with different levels of management, understand industry-specific use cases, and handle clients across multiple industries simultaneously. Additionally, you must have the capability to create dashboards and build stories for top management presentations based on data insights.,

As a member of the team at Optum, you will contribute to improving health outcomes by connecting individuals with the care, pharmacy benefits, data, and resources necessary for them to thrive. Our organization is dedicated to promoting health equity on a global scale, and you will play a vital role in achieving this goal. Join us in a culture that values diversity, inclusion, and personal growth, where you will collaborate with talented peers and have access to comprehensive benefits and career development opportunities. In this role, you will be responsible for managing and manipulating structured data to build business intelligence tools, analyze patterns and trends, ensure data quality, and develop data solutions to support various analyses. Your tasks may include creating data specifications, product models, and actionable insights, as well as collaborating with stakeholders to understand data requirements and develop tools such as segmentation, dashboards, and decision aids. To excel in this position, you will utilize business intelligence, data visualization, query, analytic, and statistical software to design solutions, perform analysis, and interpret data. Your focus will be on descriptive and regression-based analytics, incorporating expert perspectives to enhance the design of your analytics and algorithms. Your primary responsibilities will involve developing software programs using VB .NET, C#, SQL, Oracle, and other software development tools. You will debug, test, and troubleshoot software programs, adapt to new programming languages and platforms, and adhere to Agile software development methodology. Additionally, you will identify data abnormalities, maintain documentation, monitor data loads, analyze rule performance, and proactively anticipate customer needs. As a key resource on complex issues, you will be expected to solve problems, provide explanations to others, review work performed by colleagues, and forecast resource requirements. You may also lead teams or projects, motivate team members, and comply with company policies and directives. To be eligible for this internal job opportunity, you must meet specific criteria, including a minimum of 12 months in the current role/grade/level, a positive performance rating, and the required qualifications such as a bachelor's degree, extensive experience in .NET, C# development, SQL, Oracle, and process automation, as well as strong communication, problem-solving, and analytical skills. If you are a highly motivated individual who thrives in a fast-paced environment, values collaboration, and is committed to making a difference in global healthcare, we encourage you to apply for this position at our primary location in Noida, Uttar Pradesh, IN. Join us at Optum to start Caring, Connecting, and Growing together.,

As a Specialist, Research at WorldatWork, you will play a crucial role in supporting our research efforts by managing surveys, conducting data analysis, and contributing to various research projects. With a strong technical skill set and the ability to work independently, you will help translate data into valuable insights that inform business decisions and advance the Total Rewards profession. Your primary responsibilities will include independently programming and managing surveys using platforms like Qualtrics or Voxco, ensuring accurate data collection, and resolving technical issues that may arise during fieldwork. You will also be responsible for data cleaning and preparation, performing basic data analysis, and conducting market research studies by analyzing both primary and secondary data sources. Collaboration is key in this role, as you will work closely with the research team to develop reports, presentations, and dashboards. You will contribute to narrative development, create data visualizations, and ensure the accuracy and quality of research outputs before submitting them for review by senior team members. To excel in this role, you should hold a Bachelor's or Master's degree in a related field such as Industrial/Organizational Psychology, Social Psychology, Statistics, Business Analytics, Market Research, or another quantitative social science field. Additionally, you should have at least 2 years of professional-level experience in research, data analytics, or market research, with a strong background in survey programming, data analysis, and market research methodologies. Your proficiency in survey programming tools, data analysis software, and market research techniques will be essential in this role. Strong organizational skills, effective communication, and the ability to work both independently and collaboratively with cross-functional teams will also be critical to your success. If you have experience in data visualization, dashboard creation, SQL database queries, or qualitative data analysis, it will be considered a plus. Familiarity with Total Rewards programs, workplace research, human resources topics, and user experience research principles will also be beneficial in this role. Join us at WorldatWork and be part of a dynamic team that is dedicated to advancing the field of Total Rewards through research, data analysis, and market insights.,

Join our Organization Design & Enterprise Performance (OA&EP) team within the Office of the COO and be part of the innovative efforts to enhance internal process performance, effectiveness, strengthen governance, consistency, and achieve intended outcomes. As a key member of the team, your primary responsibility will be to drive data and reporting requirements to support the operations of all projects, workstreams, and verticals under the OA&EP Team. This role demands attention to detail, organizational skills, analytical thinking, and creativity in analyzing data to derive meaningful conclusions. It requires the ability to work independently and influence stakeholders while ensuring the delivery of a net business benefit. You will play a crucial role in balancing the interests of stakeholder groups with the overall project objectives. Key Responsibilities: - Possess a blend of technical and communication skills, with a focus on optimization, automation, data storytelling, and data visualization. - Stay updated on industry trends, new technologies, and data analysis processes to foster continuous learning and improvement within the team. - Collaborate with team members on multi-functional initiatives to measure project success. - Review onboarding materials, operations handbook, program handbook, and integrated master schedule. - Develop consolidated project status reports, review project status, and address any identified issues. - Manage relationships with stakeholder groups and key individuals, requiring minimal daily instruction but detailed guidance on new assignments. - Act as an individual contributor within the OA&EP team, focusing on a specific scope of work. Required Skills: - Proficiency in Microsoft Power BI, Python for data analysis, and experience with Google Cloud Platform (GCP) is advantageous. - Excellent command of MS PowerPoint, Word, and Excel. - Strong background in data modeling, visualization, and dashboard creation. - Ability to quickly adapt and become a functional or domain expert. - Strong analytical skills, problem-solving mindset, attention to detail, and the ability to think strategically. - Effective presentation skills tailored to different organizational levels. - Ability to work independently with mentorship on new projects and requirements. - Collaborative attitude towards working with peers, superiors, and various workstreams/verticals across the organization. - 2-8 years of experience in Data Analytics, proficiency in Microsoft Power BI and Python for data analysis, with a minimum of 2 years in data visualization. - Prior experience working with Accenture processes is preferred.,

The U.S. Pharmacopeial Convention (USP) is an independent scientific organization collaborating with top health and science authorities to develop quality standards for medicines, dietary supplements, and food ingredients. With over 1,300 professionals across twenty global locations, USP's core value of Passion for Quality drives its mission to strengthen the supply of safe, quality medicines and supplements worldwide. USP values inclusivity and fosters opportunities for mentorship and professional growth. Emphasizing Diversity, Equity, Inclusion, and Belonging, USP aims to build a world where quality in health and healthcare is assured. The Digital & Innovation group at USP is seeking a Data Scientist proficient in advanced analytics, data visualization, and machine learning to work on innovative projects and deliver digital solutions. The ideal candidate will leverage data insights to create a unified experience across USP's ecosystem. In this role, you will contribute to USP's public health mission by increasing access to high-quality, safe medicine and improving global health through public standards and programs. Collaborate with data scientists, engineers, and IT teams to ensure project success, apply ML techniques for business impact, and communicate results effectively to diverse audiences. **Requirements:** **Education:** Bachelor's degree in relevant field (e.g., Engineering, Analytics, Data Science, Computer Science, Statistics) or equivalent experience. **Experience:** - Data Scientist: 3-6 years hands-on experience in data science, machine learning, statistics, and natural language processing. - Senior Data Scientist: 6-10 years hands-on experience in data science and advanced analytics. - Proficiency in Python packages and visualization tools, SQL, and CNN/RNN models. - Experience with data extraction, XML documents, and DOM model. **Additional Preferences:** - Master's degree in relevant fields. - Experience in scientific chemistry or life sciences. - Familiarity with pharmaceutical datasets and nomenclature. - Ability to translate stakeholder needs into technical outputs. - Strong communication skills and ability to explain technical issues to non-technical audiences. **Supervisory Responsibilities:** Non-supervisory position **Benefits:** USP offers comprehensive benefits for personal and financial well-being, including healthcare options and retirement savings. USP does not accept unsolicited resumes from third-party recruitment agencies. Job Type: Full-Time.,

As an Analyst at JLL Business Services (JBS) Workforce Management (WFM) program, you will play a crucial role in supporting WFM activities and system maintenance. Your primary responsibilities will include conducting data analysis, forecasting, and capacity planning across JBS. You will collaborate with the technical product owner and vendors to maintain and execute change requests for the workforce management platform. Reporting to the Senior Director overseeing the WFM program and Performance Coaching professionals, you will contribute to ensuring the right number of skilled resources are available to handle accurately forecasted workloads that deliver quality outcomes. Your day-to-day tasks will involve obtaining and validating historical data for forecasting, updating and maintaining capacity planners, providing analysis for staffing efficiencies, and developing clear reports and data visualizations for operations. Additionally, you will act as the system admin for the WFM platform, maintain comprehensive documentation, monitor program adherence, provide training and coaching, and serve as a Subject Matter Expert in WFM for Operations. Ideal candidates for this position will have 4-7 years of relevant work experience in workforce management or data analytics, along with a Bachelor's degree in a related field. Proficiency in Excel, MS SQL, and business intelligence platforms like Tableau and Power BI is required. Strong analytical skills, problem-solving abilities, written and verbal communication skills, attention to detail, and the capability to manage multiple projects simultaneously are essential. Experience in a global company working across cultures is preferred. The estimated compensation for this position will be based on the market range for the role and location, offering a supportive culture and comprehensive benefits package prioritizing mental, physical, and emotional health. The hybrid work model based on the JBS Flex program allows for 2-4 days in the office, with more during the Onboarding period. If you resonate with this job description and possess most of the requirements, we encourage you to apply. JLL is dedicated to creating a diverse and inclusive culture where all individuals feel welcomed, valued, and empowered to achieve their full potential.,

As a Technical Solutions Consultant, you will have the opportunity to share your preferred working location from the available options in Gurugram, Haryana, India; Bengaluru, Karnataka, India; Hyderabad, Telangana, India. To be considered for this role, you are required to have a Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience. Additionally, experience in system design, reading code (e.g., Java, C++, Python, etc.), technical project management, stakeholder management, professional services, solution engineering, or technical consulting is essential. Proficiency in SQL, building dashboards, data collection/transformation, visualization/dashboards, or a scripting/programming language (e.g., Python) is also necessary. Preferred qualifications for this role include experience in a client-facing data analytics position or presenting data-based narratives to senior stakeholders and partners. Familiarity with analytical and narrative tools such as spreadsheets, presentation software, tableau, data studio, etc., as well as working with Google's tools and datasets, is advantageous. Knowledge of R, Python, database management systems, and SQL Workflow management is a plus. The ideal candidate should possess the ability to multitask, manage conflicting priorities effectively, and demonstrate a willingness to learn and implement advanced technical and analytical solutions. A strong motivation to understand customer business objectives and recommend insights based on market and customer data is highly valued. In this role, you will be responsible for the technical relationship with Google's largest advertising clients and product partners. You will collaborate with cross-functional teams in Engineering, Sales, and Product Management to leverage emerging technologies for external clients and partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and product partnerships. Balancing business and partner needs with technical constraints, you will develop innovative solutions and act as a consultant to those you work with. Additionally, you will build tools, automate products, oversee technical execution and business operations, develop product strategy, and prioritize projects and resources. As part of the gTech team, your role will involve working with Sales teams, partners, and Engagement Managers to develop compelling, integrated, research-based insights and narratives that enhance Google's ability to sell relevant media solutions to clients. You will analyze complex datasets, convert them into strategic insights and compelling storylines, and utilize insight and measurement tools to drive customer business objectives. Your responsibilities will include making complex data sets and concepts simple and easy to understand, as well as developing and maintaining robust analytical solutions that can be leveraged across different verticals and markets. If you are looking to contribute to creating products and services that make a positive impact on the world, this position offers a unique opportunity to collaborate with diverse teams and support customers globally. Whether it's providing bespoke solutions to solve unique problems or developing tools that can scale across Google, your work will aim to ensure that customers benefit from the full potential of Google products.,

You will be responsible for assisting in the development and implementation of machine learning models and algorithms. Your role will involve writing clean, efficient, and reusable Python code for data processing, modeling, and deployment. Additionally, you will work on datasets including data cleaning, preprocessing, feature engineering, and visualization. Collaboration with senior data scientists and developers to build scalable ML solutions is a key aspect of this role. You will also be required to conduct literature reviews and stay updated on the latest ML/AI research to contribute effectively to the team. Furthermore, your responsibilities will include contributing to model deployment and integration with APIs or web applications, with a basic knowledge being sufficient for this aspect of the role.,

As an Individual Contributor at Adobe, your primary responsibility will be to prioritize and lead deep dives into Adobe Creative Cloud data in order to uncover new product and business opportunities. This will involve utilizing machine learning techniques to reveal insights that can drive strategic decision-making. You will collaborate with product development teams and leadership to formulate business strategies and product roadmaps based on your analytical findings. Designing, implementing, and analyzing A/B experiments to provide impactful insights will be a key aspect of your role. Additionally, you will be instrumental in inspiring the data science and product teams to leverage experimentation and product insights effectively. Working closely with development teams on product instrumentation, product flow, and data capture will also be part of your responsibilities. To excel in this role, you should possess expertise in SQL and proficiency in at least one data science tool such as Python or R. Advanced skills in data visualization tools like Power BI, Tableau, or Looker will be essential. Experience in using machine learning models to extract insights and influence product strategy is highly desirable. With a minimum of 4 years of hands-on technical experience in a data analytics or data science role, including at least 2 years in behavioral data science for multi-platform SaaS products, you will have a strong foundation for success. Your ability to explore large datasets, derive meaningful insights, and translate them into tangible results will be critical. Creative thinking, problem-solving skills, and a knack for effective communication of insights to product and business leaders will set you apart. Ideally, you should hold a degree in a quantitative field such as statistics, economics, applied mathematics, operations research, or engineering, or possess equivalent work experience. Within Adobe, opportunities for creativity, curiosity, and continuous learning abound as key components of your career growth journey. Embracing new challenges and seizing internal opportunities will be encouraged and supported. To kickstart your journey: 1. Update your Resume/CV and Workday profile with your Adobe experiences and volunteer work. 2. Explore the Internal Mobility page on Inside Adobe, set up job alerts for roles of interest, and familiarize yourself with the process. 3. Review interview preparation tips to enhance your readiness for upcoming opportunities. Upon applying for a role via Workday, the Talent Team will contact you within 2 weeks. If you progress to the official interview stage with the hiring team, it is advisable to inform your manager to facilitate your career advancement. At Adobe, you will thrive in an exceptional work environment recognized globally. Our unique Check-In approach fosters continual feedback and growth, reinforcing a collaborative culture. If you seek to make a meaningful impact, Adobe is the ideal place for your professional journey. Explore firsthand insights from our employees on the Adobe Life blog and discover the valuable benefits we offer to support your growth. For individuals with disabilities or special needs requiring accommodations during the application process, please reach out to accommodations@adobe.com for assistance.,

As the Senior Manager Logistics & Supply Chain at Wholsum Foods, you will be an integral part of driving the operational backbone of the organization. You will lead the warehouse and logistics strategy, overseeing a network of distribution centers and logistics partners to ensure cost-effective, compliant, and high-performance operations. Your role will involve contributing to the Sales & Operations Planning (S&OP) process, collaborating with various departments like Production, Sales, NPD, and Finance to ensure seamless supply continuity and customer satisfaction. Your key responsibilities will include: - Managing day-to-day operations across multiple distribution centers, focusing on On-Time-In-Full (OTIF) delivery, inventory accuracy, hygiene, and space efficiency. - Implementing strategies to drive zero-loss operations through stock audits, FIFO adherence, and safety practices. - Standardizing Standard Operating Procedures (SOPs) across all 3PL partners to maintain consistent service levels and operational governance. - Overseeing logistics and distribution management across different channels, optimizing routes, controlling freight costs, and managing vendor performance. - Leading supply chain planning and execution by aligning inventory levels with demand, managing production replenishment plans, and supporting new product launches. - Ensuring compliance with regulatory requirements such as GST, E-Invoicing, FSSAI, and internal audits, while maintaining data accuracy across reporting platforms. - Leading, coaching, and developing a team of warehouse and logistics professionals, planning manpower and shift schedules for 24x7 operations. To be successful in this role, you should have: - 10-15 years of experience in logistics, warehousing, or supply chain leadership roles in industries like FMCG, F&B, or e-commerce. - Proven expertise in managing large-scale regional or national supply chain networks, vendor development, rate contracting, and SLA governance. - Strong proficiency in ERP tools (SAP/Zoho/MS Dynamics), Warehouse Management Systems (WMS), and data visualization platforms. - Ability to work effectively in ambiguous situations, build processes from scratch, and resolve cross-functional conflicts. - A Bachelor's degree in Engineering, Supply Chain, or Logistics (MBA preferred). Working at Wholsum Foods will provide you with: - An opportunity to work in a fast-growing, high-impact environment. - Collaboration with an energetic and collaborative team. - Exposure to end-to-end supply chain processes and strategic operations. If you are ready to take on this exciting challenge, join us at Wholsum Foods and be a part of our mission to change the world's eating habits. Start date: Immediately. Location: Gurgaon.,

As a Communication Designer at Tessell, you will play a crucial role in crafting visually engaging narratives, presentations, and design assets that effectively communicate complex ideas with clarity and impact. Your primary responsibility will be to design high-impact presentations and decks for various purposes such as product launches, sales pitches, investor communications, and internal storytelling. You will be tasked with translating complex information into visual narratives by simplifying technical concepts and data into engaging infographics, charts, and illustrations that enhance comprehension. Additionally, you will develop brand-aligned visual assets including graphics, icons, and illustrations for marketing campaigns, blog posts, product documentation, and social media to elevate the Tessell brand and enhance user understanding. Collaboration will be a key aspect of your role as you work closely with marketing, product, and design teams to create materials that align with the brand guidelines and enhance communication strategies. You will also support motion and interactive content by collaborating on video storyboarding, micro-animations, and interactive elements to further enhance the overall communication approach. Your role will involve maintaining and evolving brand guidelines to ensure consistency in Tessell's visual identity across presentations, digital assets, and internal documentation. Experimenting with new design trends, tools, and techniques will be essential to drive innovation in design storytelling and keep Tessell's storytelling fresh and engaging. Challenges you will encounter in this role include transforming technical and data-driven content into intuitive visual narratives, scaling design across teams to maintain brand consistency, crafting data-driven stories for enhanced understanding, ensuring brand identity remains modern and adaptable, and staying ahead of design and communication trends to keep Tessell's storytelling impactful. To excel in this position, Tessell is looking for individuals with expertise in presentation and deck design, graphic and visual design using tools like Adobe Creative Suite or Figma, storytelling and information design skills, data visualization capabilities, experience in branding and identity maintenance, and preferably motion and interactive design knowledge as a bonus. Strong collaboration and communication skills are also essential for working effectively with cross-functional teams. If you have experience designing decks and visual materials for SaaS, enterprise, or tech-driven companies, a strong portfolio showcasing impactful communication design work, background in working on high-visibility projects with marketing, product, or leadership teams, knowledge of UI/UX principles, and a passion for turning abstract concepts into compelling visual stories, your profile would stand out. Minimum qualifications include a Bachelor's degree in Graphic Design, Visual Communication, or a related field (or equivalent experience), 2 - 5 years of experience in communication design, presentation design, or visual storytelling, and a strong portfolio demonstrating expertise in deck design, branding, and visual storytelling. Tessell is looking for individuals with a startup mindset who are adaptable to evolving priorities, agile in delivering quickly and iteratively, and tenacious in overcoming challenges to drive impactful solutions. If you thrive in a dynamic, innovative environment and are passionate about shaping the future of cloud & database management, Tessell welcomes you to apply by submitting your resume and portfolio showcasing your best work through their Google Form. For any inquiries, feel free to reach out to design.team@tessell.com.,

As a Lead Vice President - Data and Analytics at HSBC International Wealth & Premier Banking, you will play a crucial role in driving marketing effectiveness strategies and analytics to enhance business performance. Your expertise in marketing analytics tools and techniques will be instrumental in identifying trends, areas of improvement, and opportunities to improve marketing performance and Return on Marketing Investment (ROMI). You will collaborate with marketing teams to define shared Objectives and Key Results (OKRs) and develop roadmaps to deliver agreed OKRs. By leveraging your subject matter expertise, you will lead the implementation of marketing effectiveness analytics, supporting stakeholder teams in identifying insights, creating hypotheses, and making recommendations to enhance marketing performance. In this role, you will be responsible for creating performance marketing effectiveness dashboards, guiding markets to improve campaign measurement, and driving in-depth analysis to identify trends and opportunities for the business. Your proficiency in AI/ML concepts and tools will enable you to improve marketing effectiveness through advanced analytics techniques. As a leader in the Data and Analytics community, you will build relationships with stakeholders, promote a culture of innovation, and ensure outstanding customer service. Your strong communication skills and collaborative approach will be essential in working with teams across regions and functions to drive marketing effectiveness and analytics expertise. To excel in this role, you should possess specialized expertise in marketing effectiveness, proven track record in delivering analytics insights in global organizations, and proficiency in marketing effectiveness tools such as Market Mix Modelling and campaign measurement approaches. Your analytical, numerical, and presentation skills, along with expertise in analytics tools like R/Python/SAS and data visualization tools, will be key assets in driving data-driven decision-making. Additionally, your role will involve collaborating with global, regional, and local marketing teams, promoting data-driven culture, and ensuring compliance with data governance standards. By continuously reviewing risks, driving process improvements, and aligning with data security protocols, you will contribute to the success of marketing effectiveness initiatives and support the broader goals of HSBC International Wealth & Premier Banking. Join HSBC and be part of a diverse and inclusive environment that values continuous professional development, flexible working arrangements, and opportunities for growth. Your contributions will help HSBC maintain its commitment to delivering exceptional customer experiences and achieving business objectives in the dynamic landscape of banking and financial services.,

As a Data Analyst at Snowflake, you will play a crucial role in supporting business decision-making practices within the Data Analytics Organization. Your primary responsibility will be to work closely with internal business and technical stakeholders to identify use cases, gather requirements for analysis, reporting, and automation. By researching data from key business systems, ingesting data into Snowflake, assessing data quality, mapping requirements, and designing end-to-end business intelligence solutions, you will directly impact Snowflake's success as a company. Your key responsibilities will include analyzing data to address critical business questions, creating insightful presentations based on your findings, and developing dashboards to deliver ongoing information and insights to internal stakeholders. Additionally, you will collaborate with the Accounting team, formulate project plans, provide status updates, and conduct user testing to ensure the quality of the deliverables. To excel in this role, you are required to have at least 3 years of experience as a data analyst or BI engineer. Strong SQL skills are essential, along with proficiency in using SQL for analysis, query standardization, and building large-scale relational datasets. Experience in developing enterprise-level reports using BI tools like Streamlit, Tableau, Power BI, or similar technologies is a must. Familiarity with MPP databases such as Snowflake, Redshift, or BigQuery will be advantageous. Your ability to communicate effectively with both technical and non-technical stakeholders, prioritize tasks in a dynamic environment, and take ownership of complex problems will be critical for success in this role. You should possess a keen eye for detail, a bias for action, and a drive for continuous improvement. Preferred skills for this position include experience with ERP and Financial Planning tools, proficiency in Python libraries such as Pandas, NumPy, and Plotly for data manipulation and visualization, as well as familiarity with agile frameworks like scrum or sprint. Snowflake offers a dynamic and fast-paced work environment where innovative thinking and pushing the boundaries of technology are encouraged. If you are driven by challenges, motivated by innovation, and seek to make a significant impact, Snowflake is the place for you to build a future for yourself while contributing to the growth of the company. Take the next step in your career by joining our team and shaping the future of the AI Data Cloud. For more details regarding salary and benefits for positions in the United States, please refer to the job posting on the Snowflake Careers Site at careers.snowflake.com.,

Resolute is a forward-thinking investment firm committed to strategic diversification and sustainable growth across high-impact sectors. Our diversified portfolio includes Hair Drama Company, Sanghi Industries Limited, ShareSquare, and Resolute Sports. We nurture ventures that redefine industry benchmarks and create long-lasting value. We are now seeking a visionary Analytics Head who can lead our data initiatives, drive strategic insights, and help translate complex data into powerful business decisions. Define and lead the end-to-end data strategy, encompassing data acquisition, integration, processing, and visualization to deliver scalable analytics solutions across the organization. Identify trends and key business opportunities through deep analysis of large and complex datasets, including internal sources, third-party data, research publications, and digital channels such as social media. Partner with executive leadership and key business stakeholders to translate strategic goals into analytical frameworks, KPIs, and data-driven solutions that drive decision-making. Establish robust data protocols, models, and pipelines ensuring high data quality, consistency, and governance across the enterprise. Build, implement, and maintain leading-edge analytics frameworks for descriptive, predictive, and prescriptive insights using tools like Python, R, SQL, and cloud-based platforms (AWS, GCP, Azure). Drive innovation in analytics, including the application of machine learning, AI, and automation to solve business challenges and create competitive advantage. Enable cross-functional teams with the tools, platforms, and reports necessary to analyze and act on data effectively. Develop dashboards and interactive reports aligned with industry standards. Design and maintain critical metrics and KPIs dashboards to track business performance, operational efficiency, and strategic alignment. Proven 7+ years of experience in analytics, data science, or business intelligence, including at least 2 years in a leadership role. Strong proficiency in SQL, Python, R, and modern data visualization tools (Tableau, Power BI, Looker, etc.). Expertise in data modelling, cloud data platforms (MS Azure, AWS Redshift, BigQuery, Snowflake), and ETL tools. Hands-on experience with machine learning models, statistical techniques, and AI-driven solutions. Strong understanding of data governance, security, and compliance standards. Excellent problem-solving and communication skills with the ability to convey complex data insights to non-technical stakeholders. Bachelors or Masters degree in Data Science, Statistics, Computer Science, or a related field. Preferred Qualifications: Prior experience in an investment firm, financial services, or high-growth startup environment. Familiarity with business operations across finance, product, and marketing. Experience with open-source data science libraries and deployment of ML models into production. Strong project management capabilities and familiarity with Agile methodologies.,

Appinventiv is a global product development and digital transformation agency that leverages cutting-edge technologies like Artificial Intelligence, Blockchain, Cloud, and Data Analytics to create AI-powered digital products and solutions. With a team of over 1,600 innovators across six global centers, Appinventiv has launched more than 3,000 products, transforming industries and enhancing user experiences. This is a full-time on-site role for a Junior Analyst located in Noida. You will be responsible for data analysis, preparing reports, and providing insights to support decision-making processes. Your day-to-day tasks will include collecting and analyzing large datasets, identifying trends and patterns, creating visualizations, and collaborating with various departments to ensure data accuracy and consistency. This role requires strong analytical skills and attention to detail to contribute effectively to the company's projects and objectives. To excel in this role, you should have proficiency in Data Analysis and Data Visualization tools, along with 1-3 years of experience in the field. Experience with Data Collection, Data Cleaning, and Data Preparation is essential, as well as strong skills in Statistical Analysis and Trend Analysis. Knowledge of Excel and SQL is necessary for this position. Additionally, excellent problem-solving and critical-thinking skills, strong written and verbal communication skills, and the ability to work collaboratively in a team environment are important qualities for this role. A Bachelor's degree in Data Science, Statistics, Economics, or a related field is required. Experience in the technology sector would be a plus for this position. If you meet the qualifications and are looking to join a dynamic team focused on leveraging technology to drive digital innovation, this role as a Junior Analyst at Appinventiv could be the next step in your career.,

The ideal candidate for the Data Scientist position at TransOrg Analytics should have a Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field. You should possess 3-5 years of relevant experience in data analysis or a related role, along with expertise in data pre-processing and manipulation using Python or SQL. Experience in statistical analysis and modeling techniques such as regression, classification, and clustering is essential. Candidates with experience in machine learning, deep learning frameworks, and libraries will be preferred. Proficiency in data processing tools and frameworks, as well as data visualization tools like Tableau or Power BI, is required. You should have a proven track record of managing data project delivery, meeting deadlines, managing stakeholder expectations, and producing clear deliverables. Strong problem-solving skills and attention to detail are crucial for this role, along with the ability to think critically and provide data-backed insights. Excellent communication skills, both verbal and written, are a must. Familiarity with Cloud Platforms like Azure, AWS, or GCP, and the ability to use them for developing, training, and testing deep learning models will be an added advantage. Knowledge of cloud-based data warehousing platforms, particularly Snowflake, is also beneficial. If you are passionate about leveraging data science to streamline, optimize, and accelerate businesses, and meet the above requirements, we invite you to join our team at TransOrg Analytics. Visit www.transorg.com to learn more about us and explore how you can contribute to our mission of providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC, and the Middle East.,

We are looking for a highly skilled Technical Data Analyst to join our team. You should have a strong technical background in Oracle PL/SQL and Python, along with expertise in data analysis tools and techniques. As the ideal candidate, you will be a strategic thinker capable of leading and mentoring a team of data analysts. Your role will involve driving data-driven insights and contributing to key business decisions. Additionally, you will be responsible for researching and evaluating emerging AI tools and techniques for potential application in data analysis projects. Your responsibilities will include designing, developing, and maintaining complex Oracle PL/SQL queries and procedures for data extraction, transformation, and loading processes. You will also use Python scripting for data analysis, automation, and reporting. Performing in-depth data analysis to identify trends, patterns, and anomalies will be crucial in providing actionable insights to enhance business performance. Collaboration with cross-functional teams to understand business requirements and translating them into technical specifications is essential. You will also be tasked with developing and maintaining data quality standards, ensuring data integrity across various systems, and utilizing data analysis and visualization tools to create interactive dashboards and reports for business stakeholders. Preferred qualifications for this role include hands-on experience as a Technical Data Analyst with expertise in Oracle PL/SQL and Python programming. Proficiency in Python scripting, expertise in data visualization tools such as Tableau, Power BI, or Qlik Sense, and an understanding of AI/ML tools and techniques in data analytics are also desired. Practical experience applying AI/ML techniques in data analysis projects is considered a plus. Strong analytical, problem-solving, communication, and interpersonal skills are essential, along with experience in the financial services industry. Qualifications for this position include 0-2 years of relevant experience, proficiency in programming/debugging used in business applications, working knowledge of industry practice and standards, comprehensive knowledge of a specific business area for application development, and working knowledge of program languages. Consistently demonstrating clear and concise written and verbal communication is also important. A Bachelor's degree or equivalent experience is required for this role. The mandatory skills required are Ab Initio, Oracle PL/SQL, and Unix/Linux. A minimum of 2 years of hands-on development experience is necessary for this position. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, please review Accessibility at Citi. Additionally, you can view Citis EEO Policy Statement and the Know Your Rights poster.,

As a member of the Hitachi Energy Indian Operations Center (INOPC) team, you will be part of a group of over 2600 skilled engineers dedicated to various functions including tendering, engineering, planning, procurement, project management, system testing, installation supervision, documentation, and commissioning. Your primary mission will involve utilizing your analytical skills to analyze data and create reports that support the Pricing and Strategic Marketing teams within the global Business Unit (BU) High. In this role, you will be responsible for managing, extracting, and analyzing data from sales/financial tools and other relevant sources to identify trends, growth opportunities, and measure specific activities" performance. You will also be expected to understand the product and market segmentation of the portfolio, develop expertise in data ecosystems within production units, define and interpret key Sales and data quality KPIs, collaborate with data scientists and pricing specialists on pricing strategies, develop reports and dashboards using tools like Salesforce.com, SalesBI, and PowerBI, support competence development activities and marketing demand generation, drive pricing management system implementation, and ensure continuous process improvement and data quality. To be successful in this role, you should have knowledge of the Power BI platform, experience in data visualization, expertise in data extraction and modeling from various sources, 1-3 years of experience in Data Analytics, exposure to Python, strong Excel and Power Pivot skills, math proficiency, problem-solving aptitude, and excellent communication and presentation skills. If you are a qualified individual with a disability and require accommodation during the application process, you can request reasonable accommodations by completing a general inquiry form on the Hitachi Energy career site. Please provide specific details about your required accommodation to facilitate a supportive application process.,

We are seeking a highly motivated and results-oriented Business Analyst to join our Revenue operations team. Your primary responsibility will involve creating accurate reports and ensuring data integrity and cohesion throughout the customer journey by utilizing various data points from the business CRM to subscription accounting systems. As the ideal candidate for this position, you possess a team player approach, attention to detail, excel at problem-solving through critical analysis, and are driven by process review and continuous improvement. Your role will focus on supporting business operations through insightful data analysis and streamlined reporting to the RevOps Director and stakeholders, while safeguarding and managing data integrity within the tech stack. Additionally, you will play a key role in identifying trends, removing bottlenecks within the RevOps Engine, and suggesting and assisting in the implementation of automations, automated reporting, and seamless system integrations. You will be an integral part of the RevOps team within the Commercial organization, supporting the smooth processes, reporting, analytics, and enablement of the client-facing teams to maximize the effectiveness of the Revenue Engine. Key Responsibilities: - Ensuring accuracy in CRM (Pipedrive) and subscription accounting systems - Collaborating closely with the RevOps Manager to understand CRM and subscription accounting systems for continuous improvement - Building and maintaining strong relationships with pivotal business partners and GTM teams - Monitoring and analyzing key revenue metrics, pipeline performance, and conversion rates across the customer lifecycle - Collaborating with cross-functional teams to optimize revenue processes and remove bottlenecks through workflow design and automation - Suggesting automations, integrations, and managing tools across the revenue tech stack for seamless data flow - Conducting deep-dive analyses to uncover insights that drive strategic initiatives - Supporting the development of revenue models and key performance indicators (KPIs) - Ensuring data cohesion within the CRM system, maintaining consistency, accuracy, and adherence to internal revenue recognition policies - Developing and maintaining reports using advanced Excel skills and data visualization tools (Tableau, Power BI) - Identifying data inconsistencies and implementing corrective measures to maintain CRM data integrity Qualifications: - Proficiency in CRM systems and data analysis and visualization tools such as Tableau, Power BI, Excel/Google Sheets - Advanced Excel skills and data sanitization expertise (knowledge of Power Query and VBA is a bonus) - Experience with marketing automation tools, SQL, RevOps platforms, and tech stack - Experience with workflow processes (design and implementation) - Ability to work independently in a fast-paced high-tech environment - Strong organizational skills and ability to manage priorities effectively - Attention to detail and strong analytical skills - Excellent oral and written communication skills - Commercial awareness and understanding - Self-motivated with the ability to work under own initiative If you are customer-driven, empathetic, efficient, and possess excellent communication skills, and meet the technical skill requirements, we encourage you to apply for this exciting opportunity in our Revenue operations team.,

You should hold a Bachelor's degree in Physics, Mathematics, Engineering, Metallurgy, or Computer Science, along with an MSc in a relevant field such as Physics, Mathematics, Engineering, Computer Science, Chemistry, or Metallurgy. Additionally, you should possess at least 8 years of experience in Data Science and Analytics delivery. Your expertise should include deep knowledge of machine learning, statistics, optimization, and related fields. Proficiency in programming languages like R and Python is essential, as well as experience with machine learning skills such as Natural Language Processing (NLP) and deep learning techniques. Furthermore, you should have hands-on experience with deep learning frameworks like TensorFlow, Keras, Theano, or PyTorch, and be familiar with working with large datasets, including knowledge of extracting data from cloud platforms and the Hadoop ecosystem. Experience in Data Visualization tools like MS Power BI or Tableau, as well as proficiency in SQL and working with RDBMS for data extraction and management, is required. An understanding of Data Warehouse fundamentals, experience in productionizing Machine Learning models in cloud platforms like Azure, GCP, or AWS, and domain experience in the manufacturing industry would be advantageous. Demonstrated leadership skills in nurturing technical talent, successfully completing complex data science projects, and excellent written and verbal communication are essential. As an AI Expert with a minimum of 10 years of experience, your key responsibilities will include serving as a technical expert, providing guidance in the development and implementation of AI solutions, and collaborating with cross-functional teams to integrate AI technologies into products and services. You will actively participate in Agile methodologies, contribute to PI planning, and support the technical planning of products. Additionally, you will analyze technical requirements, propose AI-based solutions, collaborate with stakeholders to design AI models that meet business objectives, and stay updated on the latest advancements in AI technologies. Your role will involve conducting code reviews, mentoring team members, and driving the adoption of AI technologies across the organization. Strong problem-solving skills, a proactive approach to problem resolution, and the ability to work under tight deadlines without compromising quality are crucial for this role. Overall, you will play a critical role in driving significant impact and value in building and growing the Data Science Centre of Excellence, providing machine learning methodology leadership, and designing various POCs using ML/DL/NLP solutions for enterprise problems. Your ability to learn new technologies and techniques, work in a fast-paced environment, and partner with the business to unlock value through data projects will be key to your success in this position.,