5249 Data Visualization Jobs - Page 4

The selected intern will be responsible for the following day-to-day tasks: Data collection and cleaning: You will collect and compile data from various sources, ensuring accuracy and completeness. Additionally, you will perform data cleaning and transformation to prepare it for analysis. Data analysis: You will assist in conducting data analysis using statistical methods, data visualization tools, and data analysis software. Your role will involve summarizing findings in clear and concise reports. Data visualization: Creating visually appealing and informative charts, graphs, and dashboards to present data insights to stakeholders will be part of your responsibilities. You will utilize tools such as Tableau, Power BI, or Excel for visualization purposes. Report generation: You will prepare regular and ad-hoc reports to communicate key metrics and findings to the team and management. It will be crucial to ensure that reports are accurate and delivered on time. Data quality assurance: Your role will involve helping maintain data quality standards by identifying and resolving data discrepancies or inconsistencies. Collaborating with other team members to establish data quality protocols will also be essential. Collaboration: Working closely with cross-functional teams, including data engineers, business analysts, and stakeholders, will be necessary to understand data requirements and deliver actionable insights. Research and learning: Staying up to date with industry trends and best practices in data analysis will be important. Continuously expanding your knowledge and skills in data analytics techniques and tools will also be encouraged. About Company: BatteryPool is focused on building an affordable and convenient battery charging solution for electric 2 wheelers in India. The company aims to promote the adoption of electric vehicles in India through solutions tailored to the Indian context. The BatteryPool ecosystem is supported by patent-pending hardware and a proprietary IoT layer. The team at BatteryPool is driven by a strong passion for clean energy, automobiles, and technology. Comprising engineers from top engineering schools and premier automobile companies, the team is supported by the Department of Science and Technology and Tata Power/Tata Trusts.,

You will be supporting the Network Design COE by developing robust data, analytics, and modeling frameworks to facilitate strategic and tactical decision-making. Your responsibilities will include developing and managing global supply chain network models using tools like Llamasoft (SCGX), Optilogic, or AIMMS to optimize manufacturing, sourcing, distribution, and inventory flows. Collaborating with the Advanced Analytics & Data Science team to create and maintain a centralized Supply Chain Modeling Database is crucial. Additionally, you will enhance and maintain automation frameworks to ensure seamless refresh and scalability of network models. It is essential to build and promote supply chain network visualization capabilities across the organization using tools such as Power BI or Tableau. Conducting scenario analysis to assess cost, service, and risk trade-offs to support strategic initiatives like greenfield/brownfield studies and sustainability-driven redesigns will also be part of your role. You will be responsible for setting up Standard Operating Processes (SOPs) and driving process improvements by identifying and implementing changes that eliminate non-value-added activities and align with industry best practices. Auditing the effectiveness and sustainability of improvement initiatives is necessary to ensure long-term value realization. Contributing to the development of standardized methodologies and documentation for network design and optimization processes will be essential. Collaboration with all relevant teams and functions is crucial for effective working. Developing and maintaining strong relationships with internal stakeholders across Sourcing, Logistics, Manufacturing, and Finance is key. Understanding stakeholder requirements and translating them into actionable network design strategies is a critical aspect of the role. Forecasting growth opportunities, preparing capability roadmaps, and building future-ready supply chain design competencies will also be part of your responsibilities. You will lead and support global purchasing support enhancement projects to ensure alignment with broader supply chain strategies. Defining, tracking, and publishing key performance indicators (KPIs) and metrics that reflect the effectiveness and impact of the network design function is essential. Using data-driven insights to promote continuous improvement and strategic alignment is crucial for success. For this role, you must have 10-12 years of hands-on experience in supply chain analytics and network modeling, covering end-to-end design across manufacturing, sourcing, distribution, and inventory optimization. Proficiency in data manipulation tools like SQL, Alteryx, or other ETL platforms is required. Strong experience with data visualization tools such as Power BI or Tableau is necessary. Familiarity with network optimization tools like Llamasoft SCGX, Optilogic, AIMMS, or JDA SC Strategist is preferred. A solid understanding of supply chain domains including manufacturing, capacity planning, demand/supply planning, warehousing, and transportation is essential. Exposure to advanced modeling techniques in capacity planning, sourcing strategy, inventory optimization, and transportation network design is advantageous. Strong communication skills that can engage both technical and non-technical audiences are required. Experience working with ERP systems like SAP is a plus. Overall, we are looking for a candidate with 12+ years of experience in Supply Chain and/or related fields, who can fulfill the responsibilities outlined above effectively.,

As a Data Analyst specializing in Power BI and Python, you will be an integral part of our dynamic data analytics team in Bangalore. With 2-4 years of experience, your role will involve analyzing complex data sets, creating interactive visualizations, and generating actionable insights to support data-driven decision-making. Your responsibilities will include analyzing data to uncover trends and patterns, utilizing Python for data cleaning and advanced analysis, and developing and maintaining Power BI dashboards to visualize key performance indicators (KPIs) and metrics. You will collaborate with business units to understand their data requirements and deliver tailored data solutions, ensuring data accuracy and integrity through regular quality checks. In addition to your technical skills in Power BI, Python, SQL, and database management, you will need to have strong analytical and problem-solving abilities. Effective communication and teamwork skills are essential as you work closely with cross-functional teams to provide data-driven solutions. Continuous improvement and staying updated on the latest trends in data analytics and visualization will be key to your success in this role. To qualify for this position, you should have a Bachelor's degree in Data Science, Computer Science, Statistics, or a related field, along with 2-4 years of relevant experience. Certifications in data analytics are a plus. Your proven track record of working with large data sets and your ability to manage multiple tasks in a fast-paced environment will be highly valued. If you are detail-oriented, proactive, and passionate about leveraging data to drive business outcomes, we invite you to join our team and contribute to the development of data-driven strategies that will shape our future success.,

About bp: Our purpose at bp is to bring together people, energy, and markets to power and navigate a changing world. In a time of constant change and possibility, we need talented individuals like you to pursue opportunities, motivated by best-in-class insight and expertise. We are always aspiring for more digital solutions, balanced outcomes, and closer collaboration across our company and beyond. Together, we continue to grow as the world's leading energy company. This role will sit within the Finance FP&A team, part of the Finance Business & Technology organization, and will be responsible for developing and delivering Financial Data assets aligned with Core ERP systems to meet business needs. Specifically, this role will support the C&P, Midstream, and Oil & Gas business units. Let me tell you about the role: As a member of the Finance FBT organization, specifically in Financial Planning and Analysis (FP&A), you will specialize in the execution of assurance across the Product Portfolio Management (PPM) product estate. Your focus will be on sustaining assurance activities across the full lifecycle of products, from development to operational delivery. What you will deliver: - Lead the sustain assurance process for the PPM product estate, including project & squad management, costing, communication, and governance - Own and maintain the Sustain Playbook, ensuring ongoing alignment with Change and Technology team methodologies - Drive the adoption of the Sustain Assurance Methodology to meet customer expectations and technology performance standards - Coach cross-functional teams on key conformance metrics and readiness for product transition - Manage, guide, and develop the Digital Product Sustain analyst - Provide leadership as a subject matter expert in the Sustain Assurance processes - Ensure quality execution and identify risks and opportunities to drive value - Collaborate with partners at all levels through quality assurance processes - Implement assurance reporting framework for end-to-end visibility of the process - Apply change management principles in a PPM and digital context - Lead governance forums effectively with partners of all levels - Manage own tasks diligently within required timelines - Collaborate effectively in a global, multi-cultural environment Experience and Qualifications: - Business/Finance Degree or equivalent - 8+ years of experience in a similar business area or industry - ACCA, CIMA or equivalent financial qualifications - Lean Six Sigma qualification (or equivalent) - Certified Scrum Master (CSM) preferred - Experience with digital transformation projects and process improvement initiatives Why join our team At bp, we offer a supportive environment and benefits including life & health insurance, flexible working schedule, opportunities for career development, friendly workplace policies, wellbeing programs, and more. If this role excites you, apply now! Travel Requirement: Up to 10% travel may be expected with this role Relocation Assistance: This role is eligible for relocation within the country Remote Type: This position is not available for remote working,

At Capgemini Engineering, the global leader in engineering services, a team of engineers, scientists, and architects collaborate to assist innovative companies in reaching their full potential. Our digital and software technology experts provide unique R&D and engineering services across various industries, from autonomous cars to life-saving robots. A career with us offers endless opportunities where you can truly make a difference, with each day presenting new and exciting challenges. MACS (Marketing and Creative Services) at Capgemini is a shared services organization dedicated to providing end-to-end marketing and creative services to marketing, sales, and delivery teams worldwide. With a team of over 200 marketing, creative, and digital professionals based in India and Poland, we are a truly global entity. This role is based in Mumbai or Kolkata and requires 7-9 years of experience. As a part of the global Marketing & Creative Services team (MACS), you will collaborate with marketing teams (both onshore and offshore) to build enterprise data and analytics solutions that result in meaningful KPI dashboards for Capgemini Group. Your responsibilities will include driving BI and Data Analytics solutions aligned with marketing and business objectives, as well as gaining an in-depth understanding of the digital landscape within the organization and among key competitors. Key Responsibilities: - Participate in marketing/campaign briefings, solution architecture building, and design activities - Implement tracking tags using Google Tag Manager to measure web & marketing campaign performance - Develop integrated corporate visualization solutions from multiple data sources to enable insight and decision-making - Create data models and performance measures for scorecard analysis - Conduct ad-hoc analysis and present results effectively - Establish data visualization standards and explore new tools to enhance those standards - Ensure accuracy, completeness, and timeliness of reporting through proactive measures - Conduct exploratory data analysis and data pre-processing to identify patterns and trends Experience/Skills: - Collaborate closely with platforms team, digital & marketing teams - Excellent presentation skills for reports and dashboards Education Qualification: - Bachelor's or Master's/Equivalent degree in Computer Science, Information Systems, or a similar quantitative discipline Skills (Competencies): Capgemini is a global business and technology transformation partner, assisting organizations in transitioning to a digital and sustainable world. With a team of over 340,000 members in more than 50 countries, Capgemini leverages its expertise in AI, cloud, and data to provide end-to-end services and solutions. Trusted by clients for over 55 years, Capgemini delivers tangible impact by unlocking the value of technology to address diverse business needs. The Group reported global revenues of 22.5 billion in 2023.,

Join our dynamic team to revolutionize how technology intersects with business. Your analytical skills and tech-savviness will be pivotal in creating impactful solutions. You will be responsible for eliciting and documenting comprehensive business and data flow requirements by engaging with product owners, business stakeholders, and technical teams to ensure alignment and feasibility. Your role will involve translating complex business requirements into well-structured technical solutions, leveraging data analytics and technical knowledge to optimize system performance and scalability. Conducting in-depth data analysis and interpretation to identify trends, gaps, and opportunities will be crucial in providing actionable insights that support decision-making and key business initiatives. Collaboration with cross-functional teams to develop and maintain architecture designs, policies, standards, and governance processes that align technology with business strategy is an essential aspect of the role. Continuously enhancing your technical knowledge and staying current with industry trends will be necessary to ensure the application of best practices and innovative solutions to address evolving business needs. You will also analyze EMEA Acceptance Testing team business processes for AI/automation adoption, document business requirements, collaborate with engineering teams, and road-test solutions in UAT environments. Defining automation stories based on high-level requirements, working with engineering to provide inputs for sprints/dev cycles, and analyzing user asks to rationalize requirements for ease of coding and maximum automation value are key responsibilities. Required qualifications, capabilities, and skills: - 3+ years of experience or equivalent expertise in solutions analysis, technical program delivery, or a related field - Proficiency in data analytics, including experience with data extraction, modeling, and interpretation to support strategic decision-making - Ability to be an active contributor in Requirement Elaboration Sessions - Ability to bridge between product managers, businesses, operations, and the software development team - Ability to create and review E2E Test Requirements (Positive and Negative) for full coverage, including testable Acceptance Criteria - Good Agile Product owner skills including usage of JIRA, Confluence - Advanced data visualization capabilities, with hands-on experience in implementing and managing BI dashboards - Strong technical writing skills, with a proven track record of translating complex information into clear and concise documentation for diverse stakeholder audiences. Ability to write a test strategy and define a test plan - Advanced knowledge of data fluency, including experience in handling large, diverse data sets and generating insights to drive business objectives Preferred qualifications, capabilities, and skills: - Knowledge and understanding of the Software Development Life Cycle - Experience of agile methodologies,

The job involves driving strategic initiatives to enhance operational efficiency within the engineering service department. You will collaborate with cross-functional teams to analyze and interpret data for decision-making purposes. Your role will also include developing and implementing data models, databases, data collection systems, and other strategies to optimize statistical efficiency and data quality. Identifying trends and generating insights to drive key business recommendations will be a key aspect of your responsibilities. Additionally, you will provide leadership in data analysis and process improvement within the engineering service department. You will assist in preparing and delivering technical presentations to stakeholders to communicate analytical findings and recommendations. It is essential to stay updated on industry best practices and technological advancements to suggest improvements within the team. As a part of your responsibilities, you will lead strategic projects aimed at enhancing operational productivity within the engineering service department. Working collaboratively with various teams to analyze and derive actionable insights from data will be a crucial aspect of your role. You will design and implement data models and databases to enhance statistical efficiency, identify patterns and trends in data to make informed business decisions, and offer guidance on data analysis methodologies and process enhancements. Presenting analytical findings and recommendations through technical presentations will also be a part of your day-to-day tasks. To qualify for this role, you should hold a Bachelor's degree in Engineering, Computer Science, Data Science, or a related field. You must have proven experience in data analysis, statistical modeling, and interpretation within an engineering setting. Strong proficiency in data visualization tools and techniques is required. Excellent communication skills are essential, with the ability to convey complex data insights effectively. Leadership capabilities to drive initiatives and provide guidance in a team environment are also expected. Familiarity with industry-specific tools and technologies for data analysis and process optimization will be beneficial for this position.,

Join our team as a Solutions Analyst II and be at the forefront of driving technical innovation and strategic business solutions. Your role will be key to transforming complex challenges into efficient, tailored solutions, fostering both personal and professional growth. Contribute to data-driven decision-making by extracting insights from large, diverse data sets and applying data analytics techniques. Collaborate with cross-functional teams to provide input on architecture designs and operating systems, ensuring alignment with business strategy and technical solutions. Assist in managing project dependencies and change control by demonstrating adaptability and leading through change in a fast-paced environment. Promote continuous improvement initiatives by identifying opportunities for process enhancements and applying knowledge of principles and practices within the Solutions Analysis field. Guide the work of others, ensuring timely completion and adherence to established principles and practices. Required qualifications, capabilities, and skills: - 2+ years of experience or equivalent expertise in solutions analysis, with a focus on eliciting and documenting business and data flow requirements. - Demonstrated proficiency in data fluency, including experience with data extraction, interpretation, and making data-informed decisions. - Knowledge of Agile framework and relevant skills including usage of JIRA, Confluence. Knowledge and understanding of the Software Development Life Cycle. - Ability to contribute to Requirement Elaboration Sessions. - Ability to create a backlog of Automation Requirement development stories and analysis tasks. - Ability to create E2E Test Requirements (Positive and Negative), including testable Acceptance Criteria. - Developing technical fluency in relevant platforms, software tools, and technologies, with a curiosity to continuously expand technical knowledge. - Experience in data visualization and analytics, including understanding of vendor products and managing vendor relations. - Strong written communication skills, with a proven ability to effectively translate complex information for diverse stakeholder audiences.,

As a leading consulting firm, we are currently seeking Professionals in OneStream practice to join our dynamic team. This role is ideal for an experienced Professional who is eager to make a significant impact by enhancing and optimizing financial planning, forecasting, and business processes through the power of OneStream. You will play a key role in OneStream model solutioning and implementations, optimizing business planning processes, and collaborating with stakeholders to deliver effective planning solutions. This position offers hands-on experience and opportunities for professional growth in the enterprise performance management (EPM) and planning ecosystem. Location: PAN India Responsibilities: - Implement OneStream Solutions covering Requirements and Design, Development, Testing, Training, and support. - Assist in pre-sales meetings with prospective clients, including supporting client demos and proof-of-concept projects. - Collaborate seamlessly with internal and client-side resources and effectively communicate across various audiences. - Demonstrate proficiency in Anaplan, understanding of multi-dimensional modeling, and basic knowledge of Excel, data integration tools, or ETL processes is a plus. - Approach problems creatively and utilize technology to solve business challenges. - Adhere to clients" delivery methodology and project standards, ensuring timely completion of project deliverables. - Thrive in a fast-paced, dynamic environment and navigate ambiguity. - Embrace the culture of "All Business is personal" and take full ownership of tasks by adopting an outcome-driven strategy. Qualifications: - Educational Background: Bachelor's degree in finance, Accounting, Business, Computer Science, or a related field, or Chartered Accountant / MBA Finance. - 3+ Years of OneStream experience and a total of 5+ Years of EPM implementations. - Certified OneStream Professional. - Proficiency in OneStream, understanding of multi-dimensional modeling, and basic knowledge of Excel, data integration tools, or ETL processes is a plus. - Good understanding of financial and accounting processes (account reconciliations, intercompany eliminations, currency translation, allocations, and top-side adjustment), including proficient experience with financial close, consolidations, financial reporting, FP&A. - Experience with data integration between different systems/sources, REST API as an added advantage. Preferred Skills: - Strong client-facing skills, organizational, and detail-oriented. - Excellent communication and interpersonal skills. - Proven ability to work in a demanding, fast-paced environment and manage a high workload. - Familiarity with data visualization tools like Oracle. - Experience with data visualization tools like Tableau or PowerBI.,

The Retail Specialized Data Scientist will play a pivotal role in utilizing advanced analytics, machine learning, and statistical modeling techniques to help the retail business make data-driven decisions. You will work closely with teams across marketing, product management, supply chain, and customer insights to drive business strategies and innovations. The ideal candidate should have experience in retail analytics and the ability to translate data into actionable insights. Key Responsibilities: - Leverage Retail Knowledge: Utilize your deep understanding of the retail industry (merchandising, customer behavior, product lifecycle) to design AI solutions that address critical retail business needs. - Gather and clean data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns. - Apply machine learning algorithms, such as classification, clustering, regression, and deep learning, to enhance predictive models. - Use AI-driven techniques for personalization, demand forecasting, and fraud detection. - Utilize advanced statistical methods to optimize existing use cases and build new products to serve new challenges and use cases. - Stay updated on the latest trends in data science and retail technology. - Collaborate with executives, product managers, and marketing teams to translate insights into business actions. Professional & Technical Skills: - Strong analytical and statistical skills. - Expertise in machine learning and AI. - Experience with retail-specific datasets and KPIs. - Proficiency in data visualization and reporting tools. - Ability to work with large datasets and complex data structures. - Strong communication skills to interact with both technical and non-technical stakeholders. - A solid understanding of the retail business and consumer behavior. - Programming Languages: Python, R, SQL, Scala - Data Analysis Tools: Pandas, NumPy, Scikit-learn, TensorFlow, Keras - Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn - Big Data Technologies: Hadoop, Spark, AWS, Google Cloud - Databases: SQL, NoSQL (MongoDB, Cassandra) Additional Information: - Job Title: Retail Specialized Data Scientist - Management Level: 09 - Consultant - Location: Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata - Company: Accenture This position requires a solid understanding of retail industry dynamics, strong communication skills, proficiency in Python for data manipulation, statistical analysis, and machine learning, as well as familiarity with big data processing platforms and ETL processes. The Retail Specialized Data Scientist will be responsible for gathering, cleaning, and analyzing data to provide valuable insights for business decision-making and optimization of pricing strategies based on market demand and customer behavior.,

As a Data Scientist_VIS at Viraaj HR Solutions, you will play a crucial role in analyzing complex datasets to derive actionable insights and develop predictive models to address various business challenges. Your responsibilities will include collaborating with cross-functional teams to define data requirements, creating data visualizations and dashboards for effective presentation of findings, and conducting statistical analysis to identify trends and patterns. Additionally, you will be utilizing machine learning algorithms for data prediction, designing and maintaining databases to store large datasets, and gathering and preprocessing data for analysis. It will be essential for you to identify opportunities for process improvement based on data insights, ensuring data quality and accuracy throughout data handling processes, and supporting the implementation of data-driven strategies within the organization. To excel in this role, you should hold a Bachelor's or Master's degree in Data Science, Statistics, or a related field, along with proven experience as a Data Scientist or in a similar capacity. Strong programming skills in Python or R, experience with SQL databases and querying, and familiarity with big data technologies like Hadoop or Spark will be advantageous. Moreover, your expertise in machine learning algorithms, data visualization tools such as Tableau or Power BI, and statistical analysis techniques will be critical for success. As a valued member of our team, you will have the opportunity to work on big data technologies to enhance data processing capabilities, stay updated with the latest data science trends and technologies, and collaborate on research projects to explore innovative solutions. Your role will also involve mentoring junior data scientists and interns, necessitating exceptional analytical skills, attention to detail, and strong communication abilities to convey complex data insights to non-technical audiences effectively. If you possess skills in predictive modeling, team collaboration, cloud computing, data analysis, project management, problem-solving, and data quality assurance, along with a passion for continuous learning and adaptation in a fast-paced environment, we encourage you to apply. Join us in leveraging data management best practices and shaping the future of data science at Viraaj HR Solutions.,

As a Power BI Developer, you will be responsible for understanding business requirements in the BI context and designing data models to transform raw data into meaningful insights. You will create dashboards and interactive visual reports using Power BI, identifying key performance indicators (KPIs) and consistently monitoring them. Your role will involve analyzing data and presenting it through reports that aid decision-making. Additionally, you will be converting business requirements into technical specifications, creating relationships between data, and developing tabular and multidimensional data models. Chart creation and data documentation explaining algorithms, parameters, models, and relations will also be part of your responsibilities. To excel in this role, you should possess a Bachelor's degree in Computer Science, Business Administration, or a related field, along with a minimum of 6 to 8 years of experience in visual reporting development. You must have at least 6 years of Power BI development experience, expertise in SQL Server, and excellent Microsoft Office skills, including advanced Excel skills. Strong analytical, quantitative, problem-solving, and organizational skills are essential, along with attention to detail and the ability to coordinate multiple tasks, set priorities, and meet deadlines. Apply now for the Power BI Developer position in Nagpur/Pune if you are passionate about creating impactful data visualizations and driving insights through analytics. If you are an experienced professional with 6 to 8 years in the field of Business Intelligence, consider applying for the Power BI Lead role in Nagpur/Pune. You will be responsible for understanding business requirements, creating dashboards and visual reports, identifying key KPIs, and analyzing data to aid decision-making. Data cleansing, data quality processes, and developing data models will be key aspects of your responsibilities. Your skills in Analyzes Service, building Tabular & Multidimensional models, and Power BI development experience will be crucial for success in this role. For those with 8+ years of experience in Business Intelligence and a proven track record as a Power BI Architect, we have an exciting opportunity in Nagpur/Pune. As a Power BI Architect, your responsibilities will include collaborating with business stakeholders to understand reporting and analytics requirements, designing end-to-end Power BI solutions, developing data integration pipelines, and creating visually appealing reports and dashboards. Performance optimization and enhancing user experiences will be key focus areas in this role. If you are passionate about innovation, growth, and high-impact careers, and possess the required skills and experience, we invite you to apply for the Power BI Architect position and be part of a dynamic team that thrives on learning and development opportunities. Join us in creating a collaborative work environment that fosters growth and success for all team members.,

As a Process Excellence professional at our client, you will be based in Gurgaon and play a pivotal role in transforming the spare part procurement process within the Indian automotive aftermarket. Leveraging AI/ML and deep tech, our client is committed to being the go-to destination for genuine two-wheeler aftermarket spare parts, ensuring reliable delivery to mechanic workshops. To excel in this role, you should hold a Bachelor's degree in Supply Chain Management, Industrial Engineering, Operations Research, Business Administration, or a related field. With a minimum of 5 years and up to 12 years of experience, you are expected to have a strong background in Process Excellence within the AutoTech/Quick Commerce industry. The ideal candidate will bring at least 6 years of experience in roles related to process excellence, supply chain management, process analysis, or process engineering. Proficiency in SCM software such as SAP, Oracle, Kinaxis, and expertise in process mapping tools like Visio and Lucidchart are essential. Additionally, knowledge of data visualization tools (e.g., Tableau, Power BI) and route planning software (e.g., Route4Me, Llamasoft) will be advantageous. Your role will involve developing standardized workflows for supplier performance tracking and integrating them into procurement strategies. You will be responsible for creating end-to-end procurement processes, optimizing inventory management processes, collaborating with warehouse teams to enhance inventory tracking, and devising route planning frameworks to optimize delivery paths. By balancing fuel costs, transit times, and customer expectations, you will contribute to the seamless integration of various processes within the organization. If you are a detail-oriented professional with a passion for process improvement and a drive to innovate within the supply chain domain, we welcome you to apply for the Process Excellence position at our client. Join us in our mission to revolutionize the automotive aftermarket spare part procurement landscape in India.,

As a Senior Data Scientist specializing in Artificial Intelligence and Machine Learning at FIS, you will be part of a dynamic team that thrives on curiosity, motivation, and forward-thinking. Your role will involve utilizing cutting-edge AI technologies to tackle complex challenges in the financial services and technology sectors. You will be responsible for leveraging AIML concepts such as GenAI, LLMs, and Sentiment analysis to develop innovative solutions. This will involve establishing correlations between various data points and conducting predictive and preventive analyses to drive business outcomes. Working closely with our AIOPS team, you will contribute to the development of AIML solutions aimed at reducing Enterprise MTTR through a top-notch product. Your day-to-day tasks will include employing machine learning and statistical modeling techniques to enhance data-driven products, extracting actionable insights from diverse datasets, and transforming complex data into actionable information. To excel in this role, you should possess 4 to 6 years of experience in machine learning, artificial intelligence, statistical modeling, and data analysis. Proficiency in data science tools and programming languages such as SAS, Python, R, Scala, and SQL is essential. A relevant degree in Artificial Intelligence Machine Learning, as well as knowledge of cloud-based technologies and the financial services industry, will be advantageous. In return, FIS offers a comprehensive range of benefits to support your wellbeing and lifestyle. You will be part of a diverse and innovative team operating in a modern international work environment. Additionally, you will have access to professional education and personal development opportunities to further enhance your skills and career growth. Join us at FIS and be part of a team that values collaboration, entrepreneurship, and fun while making a meaningful impact in the world of AI and data science.,

You have over 8 years of experience and are located in Balewadi, Pune. You possess a strong understanding of Data Architecture and have led data-driven projects. Your expertise includes knowledge of Data Modelling paradigms like Kimball, Inmon, Data Marts, Data Vault, Medallion, etc. Experience with Cloud Based data strategies, particularly AWS, is preferred. Designing data pipelines for ETL with expert knowledge on ingestion, transformation, and data quality is a must, along with hands-on experience in SQL. In-depth understanding of PostGreSQL development, query optimization, and designing indexes is a key requirement. Proficiency in Postgres PL/SQL for complex warehouse workflows is necessary. You should be able to manipulate intermediate to complex SQL and use advanced SQL concepts like RANK, DENSE_RANK, and apply advanced statistical concepts through SQL. Working experience with PostGres SQL extensions like PostGIS is desired. Expertise in writing ETL pipelines combining Python + SQL is required, as well as understanding of data manipulation libraries in Python like Pandas, Polars, DuckDB. Experience in designing Data visualization with tools such as Tableau and PowerBI is desirable. Your responsibilities include participation in designing and developing features in the existing Data Warehouse, providing leadership in establishing connections between Engineering, product, and analytics/data scientists team. Designing, implementing, and updating existing/new batch ETL pipelines, defining and implementing data architecture, and working with various data orchestration tools like Apache Airflow, Dagster, Prefect, and others. Collaboration with engineers and data analysts to build reliable datasets that can be trusted and used by the company is essential. You should be comfortable in a fast-paced start-up environment, passionate about your job, and enjoy a dynamic international working environment. Background or experience in the telecom industry is a plus, though not mandatory. You should have a penchant for automating tasks and enjoy monitoring processes.,

You are a Data Scientist with a strong expertise in data analysis, machine learning, and visualization. Your proficiency lies in Python, Pandas, and Matplotlib, and you excel at building and optimizing data-driven models. If you have some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models, it would be considered a plus. Your responsibilities include analyzing and processing large datasets using Python and Pandas, developing and optimizing machine learning models for predictive analytics, creating data visualizations using Matplotlib and Seaborn to support decision-making, performing data cleaning, feature engineering, and statistical analysis, working with structured and unstructured data to extract meaningful insights, and implementing and fine-tuning NER models for specific use cases, if required. You will collaborate with cross-functional teams to drive data-driven solutions. To excel in this role, you should have proficiency in Python and data science libraries such as Pandas, NumPy, and Scikit-learn. Experience in data analysis, statistical modeling, and machine learning is essential. Hands-on expertise in data visualization using Matplotlib and Seaborn, along with an understanding of SQL and database querying, is required. Familiarity with NLP techniques and NER models will be an added advantage. Strong problem-solving and analytical skills are essential to succeed in this position.,

As a Data Scientist, you will be responsible for analyzing large and complex datasets to identify trends, patterns, and insights. Your main tasks will include developing and implementing machine learning models for prediction, classification, and clustering using Python libraries such as scikit-learn, TensorFlow, or PyTorch. Additionally, you will perform statistical analysis and hypothesis testing to validate findings and draw meaningful conclusions. Your role will also involve designing and implementing data visualization dashboards and reports using Python libraries like Matplotlib, Seaborn, or Plotly to effectively communicate insights. Collaboration with cross-functional teams to understand business requirements and translate them into data science solutions is a key aspect of this position. You will also be responsible for building and deploying scalable data pipelines using Python and related tools. To excel in this role, you should have proven experience as a Data Scientist or in a similar role, ideally with 2+ years of experience. Strong programming skills in Python and familiarity with relevant data science libraries such as Pandas, NumPy, and Scikit-learn are essential. A solid understanding of statistical concepts, machine learning algorithms, and data modeling techniques is required. Furthermore, experience in data visualization using Python libraries like Matplotlib, Seaborn, and Plotly is important. You should be adept at working with large datasets, performing data cleaning, preprocessing, and feature engineering. Strong problem-solving and analytical skills are also crucial for success in this role. Excellent communication and presentation abilities are necessary to effectively communicate complex data insights and findings to both technical and non-technical audiences. A Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related area is preferred. Experience with big data technologies like Spark and Hadoop, familiarity with cloud platforms such as AWS, Azure, and GCP, and knowledge of deep learning frameworks like TensorFlow and PyTorch are all valuable assets. Additionally, experience with database technologies (SQL and NoSQL) and deploying machine learning models into production will be beneficial for this role. Stay updated with the latest advancements in data science, machine learning, and Python libraries to continuously enhance your skills and knowledge.,

The role of an Adobe Analytics professional is crucial in analyzing and interpreting data to uncover actionable insights, enabling informed business decisions and strategies to drive growth and performance. This role requires a deep understanding of digital analytics and data visualization techniques to track user behavior and engagement across digital platforms. Key Responsibilities - Implement and maintain Adobe Analytics tracking and reporting solutions. - Analyze complex datasets to identify trends, patterns, and actionable insights. - Create and maintain dashboards and reports for key stakeholders. - Collaborate with cross-functional teams to gather business requirements and implement tracking solutions. - Provide recommendations for improvement based on data-driven insights. - Conduct A/B testing and multivariate analysis to optimize digital experiences. - Develop and maintain documentation for Adobe Analytics processes and best practices. - Utilize SQL and other querying languages to extract and manipulate data for analysis. - Monitor and troubleshoot data collection to ensure accurate and reliable reporting. - Stay updated with industry best practices and new features of Adobe Analytics. - Assist in training and mentoring team members on Adobe Analytics best practices. - Drive continuous improvement in data quality and reporting accuracy. - Contribute to the development of data governance standards and processes. - Support ad-hoc analysis and data needs for various business initiatives. Required Qualifications - Bachelor's degree in Analytics, Computer Science, Information Systems, or related field. - Proven experience working with Adobe Analytics and implementing tracking solutions. - Demonstrated proficiency in data analysis and reporting using Adobe Analytics. - Strong understanding of digital marketing concepts and key performance indicators. - Proficiency in SQL and experience with data visualization tools such as Tableau or Power BI. - Ability to communicate complex data insights effectively to non-technical stakeholders. - Experience with website and app analytics tracking and optimization. - Knowledge of A/B testing methodologies and statistical analysis. - Strong problem-solving skills and attention to detail. - Experience working in agile environments and adapting to changing business needs. - Certifications in Adobe Analytics or related fields is a plus. - Ability to work independently and collaboratively in a team environment. - Excellent organizational and project management skills. - Strong analytical and critical thinking abilities.,

As a Supply Chain Analyst at our company, you will play a crucial role in enhancing our supply chain operations by focusing on process improvement, data analysis, and technological advancements. Your strong analytical mindset, experience in process optimization, and enthusiasm for leveraging technology will be key assets in driving efficiency within our supply chain. You will be responsible for analyzing supply chain data to identify trends, patterns, and areas for improvement. By providing actionable insights, you will contribute to decision-making and strategic planning. Developing and maintaining dashboards to monitor key performance indicators (KPIs) will be essential, along with supporting data-driven initiatives through accurate data collection and analysis. Additionally, you will assist in creating and enforcing Standard Operating Procedures (SOPs). Conducting comprehensive assessments of current supply chain processes to pinpoint inefficiencies will be a critical part of your role. You will then work on implementing process improvement initiatives to boost operational efficiency and effectiveness. Collaboration with cross-functional teams to streamline workflows and address pain points will be key, along with tracking and reporting on the impact of process improvements. To qualify for this role, you should have 3-4 years of experience in supply chain management, process improvement, or a related field. Strong analytical skills, experience in data analysis and process optimization, and excellent communication and interpersonal skills are required. A continuous improvement mindset focusing on efficiency and innovation will be highly valued. Preferred qualifications include experience with automation and digital transformation in supply chain processes, a Bachelor's degree in Business, Operations Management, Data Science, or a related field, strong analytical and problem-solving skills, and proficiency in data visualization tools (e.g., Tableau, Power BI) and data analysis tools (e.g., Excel, SQL).,

You will be responsible for performing complex analysis, design, programming, test plans, testing, debugging, modification, and support for QlikView and Qlik Sense. Additionally, you will provide advanced technical troubleshooting for Qlik Sense and QlikView. Your role will involve applying advanced administration, management, and performance tuning techniques. You will be expected to research solutions to various business and technical problems, evaluate alternatives, scope appropriately, and present recommendations with justification to management. Moreover, you will be involved in data visualization mockup, report design, and data modeling. To qualify for this position, you should have a minimum of 2 years of experience in implementing end-to-end business intelligence using QlikView and Qlik Sense. You should also possess experience in designing and developing Qlik Sense and QlikView dashboards, reports, and solutions, as well as configuring server components such as QMC tasks, setting up the server, and server administration. Proficiency in data modeling using dimensional modeling, Star schema, and snowflake schema is required. Having real-time hands-on experience with at least 2 projects in QlikView/Qlik Sense with Nprinting project implementation is essential. Your responsibilities will also include developing reports, dashboards, scorecards, unit testing, integration testing the developed components, and gathering business requirements, eliciting technical requirements, and preparing report specifications.,

You will be responsible for overseeing surveillance operations in the Treasury Products domain, with a required experience range of 8-10 years. As the Surveillance Manager, you will need to hold a Graduate or Post-Graduate degree in Mathematics, Statistics, or Finance. Your role will involve exposure to Treasury Products through collaboration with Trading, Risk Management, Analyst, and Strategist Teams. Your primary responsibilities will include monitoring orders and trades on various trading platforms to identify outliers. You will be expected to analyze alerts generated by the Surveillance system and prepare regular reports based on your findings. Proficiency in statistical analysis techniques and data visualization tools is essential for this role. As a Surveillance Manager, you should be tech-savvy and possess a working knowledge of programming and coding. You will be required to conduct data analysis using tools such as Excel, R, and Python, and present insights through data interpretation. You will also engage in regular communication with internal and external teams regarding system development and surveillance-related matters. Additionally, you will be involved in testing systems as per specified requirements to ensure their effectiveness. If you have the necessary qualifications and experience for this role, please feel free to share your resume at lipika.hiresquad@gmail.com or contact us at 8766285530.,

Genpact is a global professional services and solutions firm dedicated to delivering outcomes that shape the future. With a workforce of over 125,000 individuals spanning across 30+ countries, we are fueled by curiosity, agility, and a commitment to creating lasting value for our clients. Our purpose, the relentless pursuit of a world that works better for people, drives us to serve and transform leading enterprises, including the Fortune Global 500. We leverage our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI to drive success. We are currently seeking applications for the position of Manager, Secondary Researcher: Technology & Market Intelligence. As a Secondary Researcher, you will play a vital role in conducting account research, analyzing emerging technologies, monitoring industry trends, and competitive intelligence to identify business opportunities and provide strategic insights. Key Responsibilities: - Conduct in-depth account-focused research to track key accounts and uncover new business opportunities. - Utilize technology-driven secondary research methodologies by leveraging industry reports, databases, and publicly available sources. - Analyze emerging trends, competitive strategies, and market landscapes to generate actionable insights. - Develop concise reports and presentations for internal stakeholders and leadership. - Collaborate effectively with cross-functional teams to translate research findings into strategic recommendations. Qualifications we seek in you: Minimum Qualifications / Skills: - Significant experience in secondary research, technology research, market intelligence, or consulting. - Strong analytical skills with expertise in technology disruptions, innovations, and industry trends. - Proficiency in research tools such as IDC, Gartner, Everest, internal databases, and data visualization platforms like Tableau and Power BI. Preferred Qualifications / Skills: - Background in Engineering + MBA or relevant experience in technology/business research. - Excellent communication and presentation skills. If you are passionate about leveraging research to drive strategic insights and business growth, we invite you to join our team as a Manager, Secondary Researcher: Technology & Market Intelligence. Location: India-Bangalore Education Level: Master's / Equivalent Job Posting: Mar 18, 2025, 11:39:14 AM Unposting Date: May 17, 2025, 1:29:00 PM Join us in shaping the future of professional services and making a meaningful impact in the industry.,

The Data Science Associate role at CRM Asia based in Bengaluru involves supporting the data science team in developing, implementing, and maintaining data-driven solutions that align with business objectives. Your duties include working with large datasets, creating data models, and analyzing data to offer insights and recommendations. You will collaborate with the data science team to address business needs through data-driven solutions. This will involve collecting, cleaning, and preprocessing large and complex datasets from various sources. Additionally, you will develop statistical models and predictive models to identify patterns and trends in data and analyze data to discover insights for business enhancement. Furthermore, you will communicate your findings and recommendations to key stakeholders in a clear and concise manner. Data visualization tools will be utilized to present complex data in an easily understandable format. It is essential to stay updated on industry trends and advancements in data science. Qualifications for this role include a Bachelor's or Master's degree in computer science, statistics, mathematics, or a related field. Proficiency in programming languages such as Python or R, experience with data manipulation tools like SQL and Excel, and knowledge of statistical modeling and machine learning techniques are required. Familiarity with data visualization tools such as Tableau or Power BI, excellent problem-solving skills, and strong communication and collaboration abilities are also necessary. For this position, proficiency in at least one programming language like Python, R, or SQL is essential. A solid understanding of statistics and mathematics is crucial, including knowledge of probability theory, statistical inference, and basic linear algebra. Data wrangling skills involving cleaning, transforming, and merging data, as well as knowledge of machine learning concepts and data visualization tools, are important requirements. Communication skills are key for explaining findings to stakeholders, and problem-solving skills are needed to identify and frame problems in a data-driven manner. It is vital to be aware of potential fraudulent job offers and understand that Capillary Technologies does not extend unsolicited employment offers or request fees from prospective employees during the recruitment process. CRM Asia is committed to an inclusive recruitment process and equality of opportunity for all job applicants.,

As a Senior Data Scientist at CRM Asia in Bengaluru, you will play a crucial role in leading complex data projects and delivering insights to clients. You will be responsible for developing and implementing data-driven solutions, collaborating with clients to understand their business needs, and creating statistical models to analyze complex data sets. Moreover, you will have the opportunity to mentor junior data scientists, stay updated with the latest industry trends in data science and analytics, and contribute to the growth and success of the organization. Your responsibilities will include: - Leading the development and implementation of data-driven solutions for clients - Collaborating with clients to understand their business needs and develop tailored solutions - Developing statistical models and algorithms to analyze complex data sets - Analyzing and interpreting data to identify patterns and trends - Communicating insights and findings to clients effectively - Mentoring and training junior data scientists on technical and client presentation skills - Staying up-to-date with the latest industry trends and technologies in data science and analytics To qualify for this role, you should have: - A Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field - 3+ years of experience in data science or analytics - Strong programming skills in Python and SQL - Experience with data visualization tools such as Tableau, PowerBI, or QlikView (preferred) - Experience with SQL and relational databases - Strong client presentation and communication skills - Ability to lead a team and collaborate with other departments - Strong problem-solving skills and attention to detail In addition to the technical qualifications, you should possess advanced statistical analysis skills, proficiency in machine learning techniques, expertise in data wrangling, programming proficiency in Python, R, and SQL, data visualization capabilities, business acumen, effective communication skills, leadership abilities, project management skills, and a passion for continuous learning. If you are looking for a challenging and rewarding career in data science and meet these qualifications, we encourage you to apply for this position at CRM Asia. We offer competitive compensation, benefits, opportunities for career advancement, and professional development to help you excel in your data science journey.,

As a Deck Expert, you will be responsible for designing and delivering high-quality client-facing decks that engage audiences, support pitches, and reinforce our AI-powered solutions. Your role will involve designing polished client decks and pitch presentations using Apple Keynote, PowerPoint, and Google Slides. You will be expected to translate complex data into clear and compelling visual graphics such as charts, infographics, and visuals. Maintaining brand consistency in templates, layouts, typography, and colors is a key aspect of this role. Additionally, you will need to incorporate feedback through multiple review cycles to ensure high quality and error-free deliverables. Collaboration with cross-functional teams is essential to align presentation content and design with client goals and messaging. To qualify for this position, you should have at least 2 years of experience creating client-facing decks in an agency or service environment. Proficiency in Keynote is a must-have, while proficiency in PowerPoint is required. A strong graphic design background with hands-on experience using Adobe Creative Suite is also necessary. You should be skilled in data visualization, capable of turning complex information into easily understood visuals. Having a solid AI-driven design mindset and being comfortable leveraging AI tools for efficient creation is a plus. Average to strong communication skills (verbal, written, interpersonal) are important for effective collaboration. Being detail-oriented, punctual, and capable of handling tight deadlines are qualities that will contribute to success in this role. This position is based in Noida sector 62.,