2420 Data Visualization Jobs - Page 7

Skill required: Delivery - Sales Reporting Designation: I&F Decision Sci Practitioner Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Data & AIDesign, develop and provide reports of exports and representations of pipeline data, sales results and other relevant data points. Assess pipeline status, and sales performance, identify trends and analyze root causes. What are we looking for Sales Operations domain Power BI Microsoft advanced excel Data Analytics Adaptable and flexible Ability to work well in a team Agility for quick learning Commitment to quality Written and verbal communicationSQL Roles and Responsibilities: In this role you are required to do analysis and solving of lower-complexity problems Your day-to-day interaction is with peers within Accenture before updating supervisors In this role you may have limited exposure with clients and/or Accenture management You will be given moderate level instruction on daily work tasks and detailed instructions on new assignments The decisions you make impact your own work and may impact the work of others You will be an individual contributor as a part of a team, with a focused scope of work Qualification Any Graduation

Job Title - S&C Global Network - AI - Healthcare Analytics - Consultant Management Level: 9-Team Lead/Consultant Location: Bangalore/Gurgaon Must-have skills: R,Phython,SQL,Spark,Tableau ,Power BI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Provide Subject matter expertise in various sub-segments of the LS industry. Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 4-8 Years Educational Qualification:Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Job Title - S&C Global Network - AI - Healthcare Analytics - Consultant Management Level: 9-Team Lead/Consultant Location: Bangalore/Gurgaon Must-have skills: R,Phython,SQL,Spark,Tableau ,Power BI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Provide Subject matter expertise in various sub-segments of the LS industry. Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 4-8 Years Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : PeopleSoft PeopleTools Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact- Manage the team and ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in PeopleSoft PeopleTools- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 5 years of experience in PeopleSoft PeopleTools- This position is based in Mumbai- A 15 years full-time education is required Qualification 15 years full time education

Role Responsibilities : - Collaborate with stakeholders to understand reporting requirements and translate them into interactive visualizations. - Design and develop Power BI reports and dashboards that provide actionable insights to the business. - Create detailed wireframes and prototypes using Figma to effectively communicate design ideas. - Implement best practices for data visualization and ensure reports are intuitive and user-friendly. - Develop and maintain data models for Power BI to support analytical processes. - Conduct data analysis to identify trends and patterns that drive business decisions. - Provide training and support to end-users regarding dashboard functionalities. - Work with cross-functional teams to gather requirements and feedback for continuous improvement. - Test and validate data accuracy and integrity across all reports and dashboards. - Implement data governance best practices to ensure compliance and security. - Stay updated with the latest Power BI features and UI/UX design trends. - Assist in project management activities to ensure timely delivery of projects. - Create documentation for report development processes and user guides. - Support ad-hoc reporting requests as needed by stakeholders. - Contribute to a positive team environment by mentoring junior staff and sharing knowledge. Qualifications : - Bachelor's degree in Computer Science, Data Science, or a related field. - Minimum of 10 years of experience in Power BI consulting and data visualization. - Proficiency in Figma for UI/UX design. - Strong understanding of wireframing principles and design thinking. - Hands-on experience with data analysis and data modeling. - Excellent problem-solving abilities with a keen eye for detail. - Strong communication skills and the ability to engage with stakeholders. - Experience in working within an Agile project environment. - Ability to manage multiple projects and deadlines. - Strong knowledge of SQL and data querying languages. - Familiarity with DAX and Power Query. - Experience with data governance practices. - Ability to provide effective user training and support. - Solid understanding of business intelligence tools and methodologies. - Self-motivated and able to work independently in a remote environment

We currently have an exciting job opportunity for a (Senior) Product Manager green hydrogen (gH2), reporting to the Director product management green hydrogen (gH2) within thyssenkrupp nucera. This is crucial for driving the strategic direction and analytical insights of our product offerings and product development. This position involves using data-driven approaches to inform product strategies, enhance customer engagement, and ensure sustainable growth. You will be responsible for overseeing gh2 product strategy and product analytics in terms of Levelized Cost of Hydrogen (LCOH) and Total Cost of ownership (TCO) from customer view. producing business statistics among which are price points, product mix sales history, and competition for product introduction Utilize tools to analyse market data, competitor data and validate customer needs Analyse and interpret complex data sets to inform product strategies and improvements Apply agile methodologies to enhance team collaboration with Sales, marketing, engineering, etc. Focus on creating products that provide a great user experience and USP funnelled into the product development Collect, consolidate and evaluate key internal and external data impacting LCOH and Customer TCO to evaluating impact product functionality and performance Assessing and prioritizing features based on their alignment with corporate and product strategy expand knowledge and value levers for product and scope positioning Conducting gap analysis, risk assessments, and prioritizing requirements based on their significance and expected customer benefit Defining how the product will differentiate from competitors and creating a roadmap for its development Provide guidance on product positioning and messaging to management; Prepare & update data visualization in reporting tool (e.g. PPT, Power BI) Work closely with cross-functional teams to ensure alignment and successful product delivery.

As a Deliver Manager at LogicLadder, you will play a pivotal role in driving the technical vision and innovation for our sustainability software solutions. Reporting to the Head of Engineering, you will lead a team of talented software engineers, guiding them in the design, development, and deployment of cutting-edge systems that empower our clients to achieve their net-zero goals. Primary responsibilities include (but not limited to): Lead and mentor a team of software engineers, fostering a culture of continuous improvement and technical excellence. Drive the architecture and design of complex, scalable systems that underpin LogicLadders sustainability software solutions. Collaborate with cross-functional teams to define technical roadmaps and ensure alignment with business objectives. Actively participate in coding, debugging, and troubleshooting to maintain a deep understanding of the software development lifecycle. Conduct regular code reviews, ensuring adherence to best practices and high-quality standards. Proactively identify opportunities for process improvements, automation, and optimization. Act as a technical authority, providing insights into emerging technologies and industry trends. Contribute to the companys thought leadership by participating in technical blogs, conferences, and community engagement Requirements Bachelors or Masters degree in Computer Science, Engineering or related field. 6+ years of experience as a software engineer, with at least 5 years in a leadership role. Experience in building and leading high-performing engineering teams. Track record of delivering complex software projects from conception to production. Familiarity with sustainability software, energy management, or environmental monitoring solutions. Exposure to data engineering and data visualization technologies. Understanding of sustainability frameworks and environmental regulations. Proficiency in multiple programming languages, with a strong preference for expertise in functional programming (e.g., Scala, Haskell, Clojure) Extensive experience in designing and developing scalable, distributed systems Deep understanding of software architecture patterns and design principles Expertise in cloud computing platforms (e.g., AWS, GCP, Azure) and containerization technologies Familiarity with agile software development methodologies and best practices Strong problem-solving and analytical skills Excellent communication and collaboration abilities to work with cross-functional teams. Good to have : Experience with real-time data processing and streaming technologies Knowledge of machine learning and predictive analytics techniques Familiarity with IoT (Internet of Things) and sensor integration Involvement in open-source projects or contributions to the developer community Understanding of sustainability best practices and environmental impact reduction strategies. Benefits We cover Medical Insurance (family floater policy covering employee, spouse and up to 2 kids) Personal accidental insurance for you. Great company culture. Exposure to the fastest growing domain. We offer gratuity.

Multi-Asset Associate, Multi-Asset - Mumbai PineBridge Investments is a private, global asset manager focused on active, high conviction investing. We draw on the collective power of our experts in each discipline, market, and region of the world through an open culture of collaboration designed to identify the best ideas. Our mission is to exceed clients expectations on every level, every day. As of 31 March 2025, the firm managed US$188.9 billion across global asset classes for sophisticated investors around the world. PineBridge Investments is seeking a Multi-Asset Associate. The role will be based in Mumbai with the expectation of a hybrid work model supporting New York Working hours. Primary Responsibilities: An active member of Global Multi Asset Team focusing on day-to-day portfolio implementation Supporting Portfolio Manager to generate trade orders based on Team s investment decision Generating analytical reports assisting Portfolio Manager to monitor portfolio positioning, performance, risk exposure Developing of analytic tools to improve current investment procedures Review client reports to ensure the accuracy Ad hoc analytical work to support the team Qualifications: Bachelor s degree in analytical field such as Mathematics, Statistics, Computer Science, or Engineering 2-5 years of working experience in investment, risk management, or coding. Strong programming/database skills e.g. Python, Excel VBA, or R. Strong quantitative and analytical skills to deal with sophisticated data and derive analytics Intellectual curiosity and passion for finance, markets and multi-asset investment Detail oriented and able to multi-task Work with team and also be an individual contributor Strong verbal and written communication skills Excellent interpersonal skills Experience in data visualization tool like Power BI is a plus but not required Completed or working towards CFA, FRM preferred About PineBridge PineBridge is proud of our award-winning culture, which reflects our commitment to empowering employees and fostering a collaborative work environment. For five consecutive years (2020-2024), PineBridge has been named a Best Place to Work in Money Management by Pensions & Investments, a leading industry designation which recognizes the best employers in the asset management industry by evaluating employer benefits, policies, and responses to an employee survey. In 2023, PineBridge received Hong Kong Institute for HR Management Elite awards for Best Workplace and Learning & Development . Alongside this, PineBridge was recognized as a finalist at the 100 Women in Finance s APAC Industry Diversity, Equity & Inclusion Award. Our benefits: We offer a wide range of family friendly benefits including comprehensive healthcare, back- up childcare program to support working parents and flexible work arrangements so you can be there for the people you care about. We also provide a competitive retirement plan and tuition reimbursement. Furthermore, we have a robust list of professional development opportunities with the goal of engaging, retaining, and developing our talent. Our values: We value our clients, investment excellence, collaboration with our distributed team members, empowerment, and independence as we honor our heritage and our roots. PineBridge is proud to be an Equal Opportunity Employer committed to diversifying its workforce, providing equal employment opportunity for all qualified persons and maintaining an environment free from all forms of harassment and discrimination for its employees. PineBridge is dedicated to recruiting, hiring, training and promoting into all job levels the most qualified applicants without regard to actual or perceived age, race, creed, color, religion, national origin, ancestry, height, weight, sex, gender (including gender identity), disability, pregnancy, marital status, domestic partner status, sexual orientation, AIDS/HIV status, military status, alienage or citizenship status, genetic information, domestic violence victim status or any other basis protected by applicable federal, state or local laws. At PineBridge, we strive to create an inclusive environment that attracts, retains, and develops the best global talent, leveraging the unique backgrounds, talents, and perspectives that all our people bring to work.

About the job : Duration : Full-time About The Role : We are seeking a highly skilled and experienced Senior PySpark/Python Developer to play a critical role in building a robust and reliable system for managing and disseminating customer notifications regarding PG&E's Planned Power Outages (PPOs). This is an exciting opportunity to tackle complex data challenges within a dynamic environment and contribute directly to improving customer communication and experience. As a key member of the team, you will be responsible for developing and implementing data processing pipelines that can ingest, transform, and synthesize information from various backend systems related to PPOs. Your primary goal will be to "eat ambiguity and excrete certainty" by taking complex, ever-changing data and producing clear, consistent, and timely notifications for PG&E customers. This role requires a strong individual contributor who can execute tasks within a defined scope while also demonstrating leadership qualities such as adaptability, continuous learning, and ownership. You should be comfortable navigating ambiguous situations, proactively identifying solutions, and providing direction even when clear, pre-defined solutions are not immediately apparent. Responsibilities : - Design, develop, and maintain scalable and efficient data processing pipelines using PySpark and Python. - Leverage your expertise in data engineering principles to build robust and reliable solutions. - Work with complex and dynamic datasets related to work requests and planned power outages. - Apply your knowledge of Palantir Foundry to integrate with existing data infrastructure and potentially build new modules or workflows. - Develop solutions to consolidate and finalize information about planned power outages from disparate systems. - Implement logic to ensure accurate and timely notifications are generated for customers, minimizing confusion and inconsistencies. - Identify and address edge cases and special circumstances within the PPO process. - Collaborate effectively with cross-functional teams, including business analysts, product owners, and other engineers. - Take ownership of technical challenges and drive them to resolution. - Proactively learn and adapt to new technologies and evolving requirements. - Contribute to the development of technical documentation and best practices. Required Skills And Experience : - Minimum of 8+ years of overall experience in software development with a strong focus on data engineering. - Extensive and demonstrable experience with PySpark for large-scale data processing. - Strong proficiency in Python and its relevant data engineering libraries. - Hands-on experience with Palantir Foundry and its core functionalities (e.g., Ontology, Pipelines, Actions, Contour). - Solid understanding of data modeling, data warehousing concepts, and ETL/ELT processes. - Experience working with complex and high-volume datasets. - Ability to write clean, efficient, and well-documented code. - Excellent problem-solving and analytical skills. - Strong communication and collaboration skills. - Ability to work independently and manage priorities effectively in a remote setting. - Demonstrated ability to take ownership and drive tasks to completion. - Comfort navigating ambiguous situations and proposing solutions. - A proactive and continuous learning mindset. Nice To Have : - Experience with cloud platforms (e.g., AWS, Azure, GCP). - Familiarity with data visualization tools. - Understanding of notification systems and best practices. - Prior experience in the utilities or energy sector.

Role Responsibilities : - Develop and design comprehensive Power BI reports and dashboards. - Collaborate with stakeholders to understand reporting needs and translate them into functional requirements. - Create visually appealing interfaces using Figma for enhanced user experience. - Utilize SQL for data extraction and manipulation to support reporting requirements. - Implement DAX measures to ensure accurate data calculations. - Conduct data analysis to derive actionable insights and facilitate decision-making. - Perform user acceptance testing (UAT) to validate report performance and functionality. - Provide training and support for end-users on dashboards and reporting tools. - Monitor and enhance the performance of existing reports on an ongoing basis. - Work closely with cross-functional teams to align project objectives with business goals. - Maintain comprehensive documentation for all reporting activities and processes. - Stay updated on industry trends and best practices related to data visualization and analytics. - Ensure compliance with data governance and security standards. - Participate in regular team meetings to discuss project progress and share insights. - Assist in the development of training materials for internal stakeholders. Qualifications - Minimum 8 years of experience in Power BI and Figma. - Strong proficiency in SQL and database management. - Extensive knowledge of data visualization best practices. - Expertise in DAX for creating advanced calculations. - Proven experience in designing user interfaces with Figma. - Excellent analytical and problem-solving skills. - Ability to communicate complex data insights to non-technical stakeholders. - Strong attention to detail and commitment to quality. - Experience with business analytics and reporting tools. - Familiarity with data governance and compliance regulations. - Ability to work independently and as part of a team in a remote setting. - Strong time management skills and ability to prioritize tasks. - Ability to adapt to fast-paced working environments. - Strong interpersonal skills and stakeholder engagement capability. - Relevant certifications in Power BI or data analytics are a plus.

Job Summary : We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation focused on integrating generative AI capabilities into enterprise platforms such as Slack, Looker, and Confluence. The ideal candidate will have hands-on experience with Gemini and a strong understanding of prompt engineering, vector databases, and orchestration infrastructure. Key Responsibilities : - Develop and deploy Slack-based AI assistants leveraging Gemini models. - Design and implement prompt templates tailored to enterprise data use cases (Looker and Confluence). - Establish and manage an embedding pipeline for Confluence documentation. - Build and maintain orchestration logic for prompt execution and data retrieval. - Set up API authentication and role-based access controls for integrated systems. - Connect and validate vector store operations (e.g., Pinecone, Weaviate, or Snowflake vector extension). - Contribute to documentation, internal walkthroughs, and user acceptance testing planning. - Participate in Agile ceremonies including daily standups and sprint demos. Required Qualifications : - Proven experience with Gemini and large language model deployment in production environments. - Proficiency in Python, orchestration tools, and prompt engineering techniques. - Familiarity with vector database technologies and embedding workflows. - Experience integrating APIs for data platforms such as Looker and Confluence. - Strong understanding of access control frameworks and enterprise-grade authentication. - Demonstrated success in Agile, sprint-based project environments. Preferred Qualifications : - Experience working with Slack app development and deployment. - Background in MLOps, LLMOps, or AI system orchestration at scale. - Excellent communication skills and ability to work in cross-functional teams.

Roles and Responsibility Collaborate with cross-functional teams to identify business requirements and develop data visualization solutions. Analyze complex data sets to identify trends, patterns, and insights that inform business decisions. Develop and maintain databases, spreadsheets, and reports to support business operations. Work closely with stakeholders to understand their needs and provide actionable recommendations. Design and implement process improvements to increase efficiency and productivity. Develop and maintain technical documentation of data visualization projects. Job Requirements Strong understanding of financial services industry trends and technologies. Proficiency in data analysis, visualization, and reporting tools such as Excel, Tableau, or Power BI. Excellent communication and interpersonal skills to work effectively with stakeholders. Ability to prioritize multiple tasks and deadlines in a fast-paced environment. Strong problem-solving skills with attention to detail and accuracy. Experience working with large datasets and developing scalable data visualization solutions.

Dear Candidate, We are seeking a skilled Data Analyst to join our team. The ideal candidate will be responsible for gathering, processing, and analyzing data to help our organization make informed business decisions. You will work closely with various teams to uncover insights, build reports, and provide data-driven recommendations that support business strategies. Role & Responsibilities: Data Collection & Cleaning : Collect and clean data from various internal and external sources to ensure accuracy and consistency. Data Analysis : Analyze complex datasets to identify trends, patterns, and insights that inform business decisions. Reporting & Visualization : Create reports, dashboards, and visualizations to communicate findings to stakeholders in a clear and actionable way. Collaboration : Work closely with cross-functional teams (marketing, finance, operations) to understand business needs and provide relevant data insights. Data Interpretation : Provide actionable recommendations based on data analysis to guide business strategy and decision-making. Data Management : Maintain and update databases, ensuring data integrity and accessibility. Automation & Optimization : Develop automated systems for data processing and reporting to increase efficiency. Required Skills & Qualifications: Data Analysis & Statistical Techniques : Strong analytical skills with experience in data analysis, statistical methods, and modeling. Data Visualization : Proficiency in tools like Tableau , Power BI , or Excel to present data insights in a user-friendly manner. Programming Languages : Experience with SQL for database querying, and familiarity with Python or R for data analysis and automation. Data Management : Strong understanding of data cleaning, transformation, and database management practices. Reporting & Documentation : Ability to write clear reports and document processes, methods, and findings. Communication Skills : Strong written and verbal communication skills to present data findings to both technical and non-technical stakeholders. Problem-Solving : Excellent problem-solving skills and the ability to think critically when analyzing data. Soft Skills: Strong problem-solving and analytical skills. Excellent communication skills to work with cross-functional teams. Ability to work independently and as part of a team. Detail-oriented with a focus on delivering high-quality solutions Note: If you are interested, please share your updated resume and suggest the best number & time to connect with you. If your resume is shortlisted, one of the HR from my team will contact you as soon as possible. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

As a Business Analyst/Senior Business Analyst for Travel & Expense in the Global Corporate Center, the successful candidate will be responsible for managing and overseeing the company's travel and expense operations. This includes ensuring compliance with company policies and procedures, managing expense reports, and working closely with other departments to optimize travel and expense processes.

Job Summary : We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation focused on integrating generative AI capabilities into enterprise platforms such as Slack, Looker, and Confluence. The ideal candidate will have hands-on experience with Gemini and a strong understanding of prompt engineering, vector databases, and orchestration infrastructure. Key Responsibilities : - Develop and deploy Slack-based AI assistants leveraging Gemini models. - Design and implement prompt templates tailored to enterprise data use cases (Looker and Confluence). - Establish and manage an embedding pipeline for Confluence documentation. - Build and maintain orchestration logic for prompt execution and data retrieval. - Set up API authentication and role-based access controls for integrated systems. - Connect and validate vector store operations (e.g., Pinecone, Weaviate, or Snowflake vector extension). - Contribute to documentation, internal walkthroughs, and user acceptance testing planning. - Participate in Agile ceremonies including daily standups and sprint demos. Required Qualifications : - Proven experience with Gemini and large language model deployment in production environments. - Proficiency in Python, orchestration tools, and prompt engineering techniques. - Familiarity with vector database technologies and embedding workflows. - Experience integrating APIs for data platforms such as Looker and Confluence. - Strong understanding of access control frameworks and enterprise-grade authentication. - Demonstrated success in Agile, sprint-based project environments. Preferred Qualifications : - Experience working with Slack app development and deployment. - Background in MLOps, LLMOps, or AI system orchestration at scale. - Excellent communication skills and ability to work in cross-functional teams.

Job Title : Data Scientist - AI Integration & Orchestration. Job Summary : We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation focused on integrating generative AI capabilities into enterprise platforms such as Slack, Looker, and Confluence. The ideal candidate will have hands-on experience with Gemini and a strong understanding of prompt engineering, vector databases, and orchestration infrastructure. Key Responsibilities : - Develop and deploy Slack-based AI assistants leveraging Gemini models. - Design and implement prompt templates tailored to enterprise data use cases (Looker and Confluence). - Establish and manage an embedding pipeline for Confluence documentation. - Build and maintain orchestration logic for prompt execution and data retrieval. - Set up API authentication and role-based access controls for integrated systems. - Connect and validate vector store operations (e.g., Pinecone, Weaviate, or Snowflake vector extension). - Contribute to documentation, internal walkthroughs, and user acceptance testing planning. - Participate in Agile ceremonies including daily standups and sprint demos. Required Qualifications : - Proven experience with Gemini and large language model deployment in production environments. - Proficiency in Python, orchestration tools, and prompt engineering techniques. - Familiarity with vector database technologies and embedding workflows. - Experience integrating APIs for data platforms such as Looker and Confluence. - Strong understanding of access control frameworks and enterprise-grade authentication. - Demonstrated success in Agile, sprint-based project environments. Preferred Qualifications : - Experience working with Slack app development and deployment. - Background in MLOps, LLMOps, or AI system orchestration at scale. - Excellent communication skills and ability to work in cross-functional teams.

Job Summary: The Pre-Sales Manager / Solution Consultant will be a key driver of new business acquisition, leveraging deep technical and business expertise to guide the sales process. This role demands a strong ability to understand complex customer challenges, architect tailored solutions, and persuasively demonstrate our product's value to prospective clients. The ideal candidate will possess a blend of technical acumen, sales aptitude, and a consultative approach to effectively translate client needs into compelling solutions. Key Responsibilities: Technical Solutioning: - Develop and maintain in-depth technical knowledge of our products, solutions, and underlying technologies. - Stay current with industry trends, emerging technologies, and advancements in the data analytics and business intelligence space. - Conduct thorough needs assessments to capture detailed customer requirements, business objectives, and technical specifications. - Architect and design innovative, tailored solutions that precisely address customer challenges and align with their strategic goals. - Develop and deliver compelling, persuasive technical presentations and product demonstrations that showcase the value and differentiation of our solutions. - Lead the development of Proof-of-Concept (POC) projects and customized demonstrations to validate proposed solutions and drive customer confidence. - Provide expert technical guidance and solution recommendations throughout the sales cycle. - Collaborate closely with product management, engineering, and support teams to ensure proposed solutions are feasible and customer requirements are accurately captured for implementation. Sales Skills & Customer Engagement: - Collaborate strategically with the sales team to identify opportunities, qualify leads, and develop effective sales strategies. - Employ a consultative sales approach to build strong relationships with prospects and customers, understand their business challenges, and position our solutions as the optimal solution. - Effectively communicate the business value and ROI of our solutions to both technical and non-technical audiences, including C-level executives. - Act as a trusted technical advisor and advocate for customers, building credibility and fostering long-term partnerships. - Proactively identify and address customer concerns and objections throughout the sales process. - Assist the sales team in preparing and delivering compelling responses to RFPs, RFIs, and technical inquiries. - Create high-quality technical documentation, proposals, and presentations that support the sales process and effectively communicate our value proposition. Post-Sales Transition: - Ensure a smooth and efficient handover of new customers to the implementation and support teams. - Maintain customer satisfaction during the onboarding process by providing ongoing support and guidance. Qualifications: Education: Bachelor's degree in Computer Science/Information Technology, or a related field. Experience: - 5+ years of experience in a pre-sales, solution consulting, or similar customer-facing technical role, preferably in the Business Intelligence or Data Analytics domain. - Must have demonstrable experience working on projects within a BI ecosystem, including solution design, implementation, and deployment, with a focus on data warehousing, data analytics, and master data management. - Proven track record of exceeding sales targets and driving revenue growth in a pre-sales or technical sales support role. Technical Skills: - Strong understanding of software solutions, cloud technologies, and enterprise IT environments. - Proficiency in data analytics concepts, methodologies, and technologies (e.g., SQL, data warehousing, ETL, data modeling, data mining, BI tools, data visualization, reporting, and dashboarding). - Experience with Master Data Management (MDM) principles, practices, and tools. - Experience with BI platforms (e.g., Tableau, Power BI, Looker) and database systems. - Familiarity with cloud-based data warehousing solutions (e.g., Snowflake, Redshift, BigQuery). - Familiarity with relevant industry standards and technologies (e.g., SaaS, PaaS, IaaS). Soft Skills: - Excellent communication, presentation, and interpersonal skills, with the ability to effectively communicate complex technical concepts to diverse audiences. - Exceptional problem-solving, analytical, and critical-thinking skills. - Strong business acumen and a customer-centric approach. - Ability to work independently, take initiative, and collaborate effectively within a team environment.

Data Scientist Bengaluru/Chennai (Hybrid also possible) This is fast moving position with our client need immediate joiner. Job Description Looking for Data scientists with product analytics and technically skills, hands on development experience in Python, statistical techniques, SQL and basic Data visualization with lot of attention to granular details in data., Self-motivated, team player, with curiosity to learn and grow, exhibiting strong resolve and challenge the status quo, to strive for excellence in everything they do, with good professional and academic track record to be part of a team that deals with most innovative payments processing team that deals transactions at scale. Candidate Requirements Top must-have skills SQL Python Tableau Statistics AB Testing Your way to impact What do you need to bring- Strong 4+ Years of experience in Python and SQL skills with a lot of attention to granular details in data Expertise in stitching together findings to convey coherent insights with statistical significance and analysis Use A/B Testing, analytics, market research, usability studies, and competitive analysis to drive decision making. Exceptional oral and written communication skills Ability to perform deep dive analyses on key business trends from multiple perspectives and package the insights into easily consumable presentations and documents Engage in problem solving with the product and various merchant facing teams to determine performance trends and root causes. Support new product launches for merchants by ensuring constant monitoring is in place to track product performance. Partner with varies internal teams to ensure that the merchants analytic needs are well addressed. Create close relationships with stakeholders to anticipate & answer the questions that might be asked both by internal and external parties. Degrees or certifications required.

Key Responsibilities: Monitor and maintain data pipeline reliability , including logging, alerting, and troubleshooting failures. Good knowledge on Artificial Intelligence and Machine learning Design, develop, and optimize relational and NoSQL databases for diverse applications, including AI and large-scale data processing. Build and manage ETL/ELT pipelines to ensure efficient data processing and transformation. Optimize database performance for high-availability applications, reporting, and analytics . Implement data partitioning, indexing, and sharding strategies for scalability. Ensure data integrity, governance, and security across multiple applications. Collaborate with teams to streamline data access, model storage, and training workflows when applicable. Develop SQL queries, stored procedures, and views for efficient data retrieval. Monitor and troubleshoot database performance, bottlenecks, and failures . Required Skills & Qualifications: Strong SQL expertise (writing complex queries, optimization, stored procedures, indexing). Experience with relational databases (PostgreSQL, SQL Server) and NoSQL databases (MongoDB, Redis). Knowledge of AI-related database optimizations , such as vector databases (e.g., Pinecone, FAISS, Weaviate) for embedding storage and retrieval is a plus. Experience working with enterprise data workflows , including data modeling and architecture. Dimensional Modeling / Data Warehousing : Experience with dimensional modeling (star/snowflake schemas) and data warehousing concepts (e.g., Kimball, Inmon). Metadata Management & Data Catalogs : Familiarity with metadata management, data catalogs, or data lineage tools (e.g., Alation, Data Catalog in GCP, AWS Glue Data Catalog). Hands-on experience with cloud platforms (AWS, Azure, GCP) and cloud-based data storage solutions. Familiarity with big data technologies (Spark, Hadoop, Kafka) is a plus. Strong Python or SQL scripting skills for data manipulation and automation. Knowledge of data security, privacy regulations (GDPR, CCPA), and compliance standards . Unit / Integration Testing : Experience with testing data pipelines, including unit and integration testing for transformations. Documentation : Strong documentation practices for pipelines, database schemas, and data governance processes. Excellent problem-solving skills and ability to collaborate with cross-functional teams . Experience with workflow orchestration tools like Apache Airflow or Prefect. Preferred Qualifications: Experience with vector databases and retrieval-augmented generation (RAG) workflows. Understanding of AI model storage, caching, and retrieval from databases when applicable. Experience in machine learning model feature engineering and ML model versioning . Experience with containerization technologies like Docker or Kubernetes for deploying data solutions. Data Quality and Observability Tools : Experience with tools or frameworks for data quality checks, validation, and data observability (e.g., Great Expectations, Monte Carlo, Databand). Role & responsibilities Preferred candidate profile

Role: Data Analyst Experience: 3+ Years Location: Remote Mode : Remote (Night shift - New York Timing) Description : Excellent quantitative skills and comfort with tools such as SQL, Excel, Python, Hive, Spark etc. Proficiency with Tableau or other dashboard building tools and JIRA. Excellent organizational skills and attention to detail. Background in AdTech or Ad Platforms Strong experience with SQL and ETL pipeline building

As a BIE, the resource will: Work with massive-scale data and provide analytic support to Amazon stakeholders using the data. Build dashboards for business reporting, Deep dive bridges to understand the behaviour of the metrics and identify root causes of defects and develop business tools/solutions to help business improve efficiency, productivity and save costs. Utilize deep expertise in business analysis, metrics, reporting, and analytic tooling/languages like SQL, Excel, and others, to translate the data into meaningful insights Act as key point of contact working with program managers working end-to-end from scoping the project, development, testing and deployment. They can utilize the full breadth of tools available at Amazon to build scalable, fully automated solutions. Communicate complex analytical results in a clear and easy-to-understand way and will drive towards simple, scalable solutions to difficult problems while considering edge cases and different trade-off. Basic qualifications 3-4 years of experience working on SQL and ETL to pull data and build reports/dashboards Experience working on Power BI Or MicroStrategy Or Cognos Or Tableau Developers Experience in scripting for automation (e.g. Python) and advanced Excel skills. Experience with data visualization using Tableau, QuickSight, or similar tools Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Good understanding of data and ability to analyse/deep dive data to identify patterns/root cause

Job Summary : We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation focused on integrating generative AI capabilities into enterprise platforms such as Slack, Looker, and Confluence. The ideal candidate will have hands-on experience with Gemini and a strong understanding of prompt engineering, vector databases, and orchestration infrastructure. Key Responsibilities : - Develop and deploy Slack-based AI assistants leveraging Gemini models. - Design and implement prompt templates tailored to enterprise data use cases (Looker and Confluence). - Establish and manage an embedding pipeline for Confluence documentation. - Build and maintain orchestration logic for prompt execution and data retrieval. - Set up API authentication and role-based access controls for integrated systems. - Connect and validate vector store operations (e.g., Pinecone, Weaviate, or Snowflake vector extension). - Contribute to documentation, internal walkthroughs, and user acceptance testing planning. - Participate in Agile ceremonies including daily standups and sprint demos. Required Qualifications : - Proven experience with Gemini and large language model deployment in production environments. - Proficiency in Python, orchestration tools, and prompt engineering techniques. - Familiarity with vector database technologies and embedding workflows. - Experience integrating APIs for data platforms such as Looker and Confluence. - Strong understanding of access control frameworks and enterprise-grade authentication. - Demonstrated success in Agile, sprint-based project environments. Preferred Qualifications : - Experience working with Slack app development and deployment. - Background in MLOps, LLMOps, or AI system orchestration at scale. - Excellent communication skills and ability to work in cross-functional teams.

-As we expand our talented team, we seek a highly skilled Power BI Consultant with solid experience in Figma, UI/UX design, and wireframing. Role Responsibilities : - Collaborate with stakeholders to understand reporting requirements and translate them into interactive visualizations. - Design and develop Power BI reports and dashboards that provide actionable insights to the business. - Create detailed wireframes and prototypes using Figma to effectively communicate design ideas. - Implement best practices for data visualization and ensure reports are intuitive and user-friendly. - Develop and maintain data models for Power BI to support analytical processes. - Conduct data analysis to identify trends and patterns that drive business decisions. - Provide training and support to end-users regarding dashboard functionalities. - Work with cross-functional teams to gather requirements and feedback for continuous improvement. - Test and validate data accuracy and integrity across all reports and dashboards. - Implement data governance best practices to ensure compliance and security. - Stay updated with the latest Power BI features and UI/UX design trends. - Assist in project management activities to ensure timely delivery of projects. - Create documentation for report development processes and user guides. - Support ad-hoc reporting requests as needed by stakeholders. - Contribute to a positive team environment by mentoring junior staff and sharing knowledge. Qualifications : - Bachelor's degree in Computer Science, Data Science, or a related field. - Minimum of 10 years of experience in Power BI consulting and data visualization. - Proficiency in Figma for UI/UX design. - Strong understanding of wireframing principles and design thinking. - Hands-on experience with data analysis and data modeling. - Excellent problem-solving abilities with a keen eye for detail. - Strong communication skills and the ability to engage with stakeholders. - Experience in working within an Agile project environment. - Ability to manage multiple projects and deadlines. - Strong knowledge of SQL and data querying languages. - Familiarity with DAX and Power Query. - Experience with data governance practices. - Ability to provide effective user training and support. - Solid understanding of business intelligence tools and methodologies. - Self-motivated and able to work independently in a remote environment.

Highly skilled Senior Data engineer with over 6 years of experience in designing, developing, and implementing advanced business intelligence solutions on Microsoft Azure. The engineer should have hands-on expertise in ADF, Synapse and PowerBl and Azure DevOps platform. Key Responsibilities: Collaborate with stakeholders to plan, design, develop, test, and maintain the KPI data and dashboards on Azure and PowerBl. The candidate would have to have the following skills: Proficient in ETL processes, data modelling, and DAX query language on Microsoft Azure. Proven track record of collaborating with stakeholders to gather requirements and deliver actionable insights. Independently handle DevOps in ADF, Synapse ad PowerBl Proficient in business requirements gathering and analysis. Strong data analysis skills, including data interpretation and visualization. Familiarity with process modelling and documentation. Adept at creating interactive and visually compelling reports and dashboards to support data-driven decision-making in PowerBl. Excellent stakeholder management and communication skills. Knowledge of Agile methodologies and project management practices. Ability to develop and articulate clear and concise user stories and functional requirements. Proficiency in using data visualization tools like Power BI. Comfortable with conducting user acceptance testing (UAT) and quality assurance. Educational Qualification: Graduate/Post Graduate degree Computer Science, Masters in Business Administration, Certification in PowerBl and Microsoft Azure Services Skills:- Proven experience of 6 + years as a data Engineer and Data Visualization developer Expertise and experience in ADF, Synapse and PowerBl Demonstrates an understanding of the IT environment, including enterprise applications like HRMS, ERPs, CRM, Manufacturing systems, API management, Webscrapingetc. Industry experience in Manufacturing

The Role: We are leading the way in Sales Performance Management, with everything businesses need to harness the power of Sales Incentives. Our mission is to deliver affordable, customized enterprise-level commission tracking software for the most innovative businesses around the world. We are seeking a Business analyst(entry level). This role is suitable for someone who can tell compelling stories on a dashboard, draw conclusions with high-quality charts and graphs to present their findings in a clear and concise way.to develop future strategies. Key Responsibilities: Roles and Responsible: Understanding, extracting and analysing data as per the business requirements to track the performance in terms of sales. Communicates with the resource person/clients team to get input/raw data needed for report generation. Liaising with the clients to prepare business reports with clear visualization on MS Excel. Our Ideal Candidate: Attention to details and commitment to accuracy for the desired deliverable. Good analytical and communication skills. Bachelor's degree or equivalent experience. Fluency in Microsoft Office suite (Excel, PowerPoint, etc.) Must have a keen eye for data and an appetite to learn about Kennects products and services.