2720 Data Visualization Jobs - Page 38

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

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

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

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Meet the Team We are a dynamic and innovative team of Data Engineers, Data Architects, and Data Scientists based in Bangalore, India. Our mission is to harness the power of data to provide actionable insights that empower executives to make informed, data-driven decisions. By analyzing and interpreting complex datasets, we enable the organization to understand the health of the business and identify opportunities for growth and improvement. Your Impact We are seeking a highly experienced and skilled Senior Data Scientist to join our dynamic team. The ideal candidate will possess deep expertise in machine learning models, artificial intelligence (AI), generative AI, and data visualization. Proficiency in Tableau and other visualization tools is essential. This role requires hands-on experience with databases such as Snowflake and Teradata, as well as advanced knowledge in various data science and AI techniques. The successful candidate will play a pivotal role in driving data-driven decision-making and innovation within our organization. Key Responsibilities Design, develop, and implement advanced machine learning models to solve complex business problems. Apply AI techniques and generative AI models to enhance data analysis and predictive capabilities. Utilize Tableau and other visualization tools to create insightful and actionable dashboards for stakeholders. Manage and optimize large datasets using Snowflake and Teradata databases. Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions. Stay updated with the latest advancements in data science, machine learning, and AI technologies. Mentor and guide junior data scientists, fostering a culture of continuous learning and development. Communicate complex analytical concepts and results to non-technical stakeholders effectively. Key Technologies & Skills: Machine Learning ModelsSupervised learning, unsupervised learning, reinforcement learning, deep learning, neural networks, decision trees, random forests, support vector machines (SVM), clustering algorithms, etc. AI TechniquesNatural language processing (NLP), computer vision, generative adversarial networks (GANs), transfer learning, etc. Visualization ToolsTableau, Power BI, Matplotlib, Seaborn, Plotly, etc. DatabasesSnowflake, Teradata, SQL, NoSQL databases. Programming LanguagesPython (essential), R, SQL. Python LibrariesTensorFlow, PyTorch, scikit-learn, pandas, NumPy, Keras, SciPy, etc. Data ProcessingETL processes, data warehousing, data lakes. Cloud PlatformsAWS, Azure, Google Cloud Platform. Minimum Qualifications Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. Minimum of [X] years of experience as a Data Scientist or in a similar role. Proven track record in developing and deploying machine learning models and AI solutions. Strong expertise in data visualization tools, particularly Tableau. Extensive experience with Snowflake and Teradata databases. Excellent problem-solving skills and the ability to work independently and collaboratively. Exceptional communication skills with the ability to convey complex information clearly. Preferred Qualifications (Provide up to five (5) bullet points these can include soft skills) Excellent communication and collaboration skills to work effectively in cross-functional teams. Ability to translate business requirements into technical solutions. Strong problem-solving skills and the ability to work with complex datasets. Experience in statistical analysis and machine learning techniques. Understanding of business domains such as sales, financials, marketing, and telemetry.

We are seeking a highly skilled and motivated professional to lead operational excellence initiatives and drive strategic improvements within our Central Operations team. This role requires expertise in process optimization, data-driven decision-making, and a customer-centric approach to resolving operational challenges. The ideal candidate will focus on enhancing operational efficiency, ensuring customer satisfaction, and streamlining critical processes across various verticals. Key Responsibilities Collaborate with various departments to identify inefficiencies and recommend process improvements to enhance productivity and drive operational excellence. Monitor key performance indicators (KPIs) and ensure that initiatives are on track to meet company goals Leverage data analytics and performance metrics to identify and address bottlenecks in operations. Analyse and optimize the cancellation processes to reduce inefficiencies and enhance customer retention. Implement predictive analytics and monitoring systems for proactive operational interventions. Develop and execute action plans to mitigate recurring issues, ensuring quality and consistency. Oversee priority corridors to ensure timely delivery and service excellence in high-demand zones. Align teams to enhance service efficiency in these critical areas. Work closely with product and technology teams to develop innovative tools that enhance customer resolution processes. Qualifications Bachelors degree in technology or masters in business administration required. 5+ years of experience in operations excellence, process improvement, or similar roles. Strong analytical skills with proficiency in data analytics tools (e.g., Excel, SQL, or Tableau). Exceptional problem-solving abilities and a track record of driving operational improvements. Strong communication and leadership skills to collaborate with cross-functional teams.

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

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

Should have hands on experience in Adobe Target and would be responsible for helping to deliver and improve the end customer experience across clients digital channels, leveraging Adobe Target Platform Primary Skills Experience in digital marketing, should have thorough working knowledge of Adobe Target with minimum 2-4 years of hands-on consulting and implementation experience Knowledge of overall Adobe Experience cloud solution and framework Experience in leading Adobe Analytic simple implementation across Web, mobile, and apps Develop reports and Dashboards to meet clients needs in Adobe Analytics and Target Advice on testing protocols and practices to ensure testing needs are met. Experience in creating experience activities, A/B , multi variate testing & Experimentation testing Experience in recommendations activities & Automated Personalization Technical expertise on Adobe Target with hands-on use cases implementingexperience. JavaScript, HTML, CSS knowledge required Integration of Target with sites and Analytics tools Debug, troubleshoot, and fix the configuration and integration issues. Good communication & interpersonal skills Good to have understanding / exposure to cross product integration (i.e. Target Campaign, Target AAM etc..) Good to have experience in solution design, RFP and client interactions Secondary Skills Data visualization experienceworkspace, report builder, PowerBi, and tableau, Optimizely experience & Google analytics Experience with agile methodologiesScrum Mobile tagging experience

Role Overview: Seeking a Qlik Sense expert to build enterprise dashboards and enable self-service BI for stakeholders across business functions. All this will be applicable for Tableau as well. Key Responsibilities: Design and develop interactive Qlik Sense dashboards and visualizations for business stakeholders. Administer and manage Qlik Sense Enterprise environments including QMC (Qlik Management Console) and Hub. Set up and manage user access, security rules, and custom roles within Qlik Sense. Monitor system performance and troubleshoot issues related to Qlik Sense services and apps. Schedule and manage data reload tasks using Qlik Sense and external tools (e.g., Qlik CLI, QRS API). Collaborate with data engineering and BI teams to optimize data models for performance and usability. Migrate and consolidate reports from legacy BI tools (e.g., Business Objects) into Qlik Sense. Implement governance standards for visualization development and data usage. Support version upgrades, patching, and integration with enterprise identity providers (LDAP/SAML). Manage publishing streams, apps, and tasks for various business units and project teams. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Role OverviewThis needs to applicable for Tableau as well. Seeking a Qlik Sense expert to build enterprise dashboards and enable self-service BI for stakeholders across business functions. Key Responsibilities: Design and develop interactive Qlik Sense dashboards and visualizations for business stakeholders. Administer and manage Qlik Sense Enterprise environments including QMC (Qlik Management Console) and Hub. Set up and manage user access, security rules, and custom roles within Qlik Sense. Monitor system performance and troubleshoot issues related to Qlik Sense services and apps. Schedule and manage data reload tasks using Qlik Sense and external tools (e.g., Qlik CLI, QRS API). Collaborate with data engineering and BI teams to optimize data models for performance and usability. Migrate and consolidate reports from legacy BI tools (e.g., Business Objects) into Qlik Sense. Implement governance standards for visualization development and data usage. Support version upgrades, patching, and integration with enterprise identity providers (LDAP/SAML). Manage publishing streams, apps, and tasks for various business units and project teams. Skills Required: Strong hands-on in Qlik Sense scripting and visualizations Experience with Section Access and publishing apps Understanding of QVD architecture and ETL Strong knowledge of QMC, security rules, section access, and governance best practices. Proficient in Qlik scripting, set analysis, and data modeling techniques. Familiarity with Active Directory, REST APIs, and Qlik CLI for automation. Prior work in BFSI dashboards preferred

Dear Candidates, Greetings!! We are hiring for one of the Globalized Product Based & Motor Vehicle Manufacturing MNC. Job Type: FTE Job Role:- Data Analyst Experience: 3 to 5 Years Location: Bangalore Work Mode: Work from office Notice Period: Immediate to 30 days Budget: As Per Market Standards Mandatory Skills:- Azure Data bricks, Power BI, Tableau, SQL, Python Interested candidates can share their updated resume on Gurpreet@selectiveglobalsearch.com

We are seeking a highly skilled Advanced Analytics Specialist to join our dynamic team. The successful candidate will be responsible for leveraging advanced analytics techniques to derive actionable insights, inform business decisions, and drive strategic initiatives. This role requires a deep understanding of data analysis, statistical modeling, machine learning, and data visualization. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop and implement advanced analytical models and algorithms to solve complex business problems, analyze large datasets to uncover trends, patterns, and insights that drive business performance. Collaborate with cross-functional teams to identify key business challenges and opportunities, Create and maintain data pipelines and workflows to ensure the accuracy and integrity of data, Design and deliver insightful reports and dashboards to communicate findings to stakeholders. Stay up to date with the latest advancements in analytics, machine learning, and data science. Provide technical expertise and mentorship to junior team members. QualificationsBachelor’s or master’s degree in data science, Statistics, Mathematics, Computer Science, or a related field. Proven experience in advanced analytics, data science, or a similar role. Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools like Tableau, Power BI, or similar. Strong understanding of statistical modelling and machine learning algorithms. Excellent analytical, problem-solving, and critical thinking skills. Ability to communicate complex analytical concepts to non-technical stakeholders. Experience with big data technologies (e.g., Hadoop, Spark) is a plus Preferred technical and professional experience Familiarity with cloud-based analytics platforms (e.g., AWS, Azure). Knowledge of natural language processing (NLP) and deep learning techniques. Experience with project management and agile methodologies

Provide expertise in analysis, requirements gathering, design, coordination, customization, testing and support of reports, in client’s environment Develop and maintain a strong working relationship with business and technical members of the team Relentless focus on quality and continuous improvement Perform root cause analysis of reports issues Development / evolutionary maintenance of the environment, performance, capability and availability. Assisting in defining technical requirements and developing solutions Effective content and source-code management, troubleshooting and debugging. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Cognos Developer & Admin Required. EducationThe resource should be full time MCA/M. Tech/B. Tech/B.E. and should preferably have relevant certifications ExperienceThe resource should have a minimum of 3 years of experience of working in the in BI DW projects in areas pertaining to reporting and visualization using cognos. The resources shall have worked in at least two projects where they were involved in developing reporting/ visualization He shall have good understanding of UNIX. Should be well conversant in English and should have excellent writing, MIS, communication, time management and multi-tasking skill Preferred technical and professional experience Experience with various cloud and integration platforms (e.g. AWS, Google, Azure) Agile mindset – ability to process changes of priorities and requests, ownership, critical thinking Experience with an ETL/Data Integration tool (eg. IBM InfoSphere DataStage, Azure Data Factory, Informatica PowerCenter)

Provide expertise in analysis, requirements gathering, design, coordination, customization, testing and support of reports, in client’s environment Develop and maintain a strong working relationship with business and technical members of the team Relentless focus on quality and continuous improvement Perform root cause analysis of reports issues Development / evolutionary maintenance of the environment, performance, capability and availability. Assisting in defining technical requirements and developing solutions Effective content and source-code management, troubleshooting and debugging Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5+ years of experience with BI tools, with expertise and/or certification in at least one major BI platform – Tableau preferred. Advanced knowledge of SQL, including the ability to write complex stored procedures, views, and functions. Proven capability in data storytelling and visualization, delivering actionable insights through compelling presentations. Excellent communication skills, with the ability to convey complex analytical findings to non-technical stakeholders in a clear, concise, and meaningful way. 5.Identifying and analyzing industry trends, geographic variations, competitor strategies, and emerging customer behavior Preferred technical and professional experience Troubleshooting capabilities to debug Data controls Capable of converting business requirements into workable model. Good communication skills, willingness to learn new technologies, Team Player, Self-Motivated, Positive Attitude. Must have thorough understanding of SQL & advance SQL (Joining & Relationships)

Job Title - Retail Specialized Data Scientist Level 9 SnC GN Data & AI Management Level:09 - Consultant Location:Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata Must have skills: A solid understanding of retail industry dynamics, including key performance indicators (KPIs) such as sales trends, customer segmentation, inventory turnover, and promotions. Strong ability to communicate complex data insights to non-technical stakeholders, including senior management, marketing, and operational teams. Meticulous in ensuring data quality, accuracy, and consistency when handling large, complex datasets. Gather and clean data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns. Strong proficiency in Python for data manipulation, statistical analysis, and machine learning (libraries like Pandas, NumPy, Scikit-learn). Expertise in supervised and unsupervised learning algorithms Use advanced analytics to optimize pricing strategies based on market demand, competitor pricing, and customer price sensitivity. Good to have skills: Familiarity with big data processing platforms like Apache Spark, Hadoop, or cloud-based platforms such as AWS or Google Cloud for large-scale data processing. Experience with ETL (Extract, Transform, Load) processes and tools like Apache Airflow to automate data workflows. Familiarity with designing scalable and efficient data pipelines and architecture. Experience with tools like Tableau, Power BI, Matplotlib, and Seaborn to create meaningful visualizations that present data insights clearly. Job Summary : The Retail Specialized Data Scientist will play a pivotal role in utilizing advanced analytics, machine learning, and statistical modeling techniques to help our retail business make data-driven decisions. This individual 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. Roles & 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. Use advanced statistical methods help 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: - Qualification Experience: Minimum 3 year(s) of experience is required Educational Qualification: Bachelors or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.

Job Title - + + Management Level: Location:Kochi, Coimbatore, Trivandrum Must have skills:Big Data, Python or R Good to have skills:Scala, SQL Job Summary A Data Scientist is expected to be hands-on to deliver end to end vis a vis projects undertaken in the Analytics space. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Roles and Responsibilities Identify valuable data sources and collection processes Supervise preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns for insurance industry. Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Collaborate with engineering and product development teams Hands-on knowledge of implementing various AI algorithms and best-fit scenarios Has worked on Generative AI based implementations Professional and Technical Skills 3.5-5 years experience in Analytics systems/program delivery; at least 2 Big Data or Advanced Analytics project implementation experience Experience using statistical computer languages (R, Python, SQL, Pyspark, etc.) to manipulate data and draw insights from large data sets; familiarity with Scala, Java or C++ Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Hands on experience in Azure/AWS analytics platform (3+ years) Experience using variations of Databricks or similar analytical applications in AWS/Azure Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Strong mathematical skills (e.g. statistics, algebra) Excellent communication and presentation skills Deploying data pipelines in production based on Continuous Delivery practices. Additional Information Multi Industry domain experience Expert in Python, Scala, SQL Knowledge of Tableau/Power BI or similar self-service visualization tools Interpersonal and Team skills should be top notch Nice to have leadership experience in the past Qualification Experience:3.5 -5 years of experience is required Educational Qualification:Graduation (Accurate educational details should capture)

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 : SAP for Utilities Cust Financial Mgt FICA Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : Graduate 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 that apply across multiple teams. With your expertise and leadership, you will contribute to the success of the project and drive innovation in application development. 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- Expected to provide solutions to problems that apply 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 SAP for Utilities Cust Financial Mgt FICA- 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 12 years of experience in SAP for Utilities Cust Financial Mgt FICA- This position is based in Noida- A Graduate degree is required Qualification Graduate

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 : PySpark Good to have skills : NAMinimum 7.5 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 the successful delivery of projects. 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 PySpark- 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 7.5 years of experience in PySpark- This position is based at our Hyderabad office- A 15 years full-time education is required Qualification 15 years full time education

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 : PySpark Good to have skills : NAMinimum 7.5 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 for the project- Manage the team and ensure successful project delivery- Collaborate with multiple teams to make key decisions- Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark- 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 7.5 years of experience in PySpark- This position is based at our Pune office- A 15 years full-time education is required Qualification 15 years full time education

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 : SAP Analytics Cloud Planning 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. Your day will involve overseeing the application development process and ensuring seamless communication within the team and stakeholders. 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 application development process effectively- Ensure timely delivery of projects- Provide guidance and mentorship to team members Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Analytics Cloud Planning- Strong understanding of data analytics and visualization- Experience in leading application development projects- Excellent communication and leadership skills- Hands-on experience in configuring applications Additional Information:- The candidate should have a minimum of 5 years of experience in SAP Analytics Cloud Planning- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

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 : Microsoft Azure Analytics Services Good to have skills : NAMinimum 3 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 Microsoft Azure Analytics Services- 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 Microsoft Azure Analytics Services- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

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 : PySpark 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 for the project- Manage the team and ensure successful project delivery- Collaborate with multiple teams to make key decisions- Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark- 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 PySpark- This position is based at our Pune office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Neo4j, Stardog Good to have skills : JavaMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. 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.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Neo4j.- Good To Have Skills: Experience with Java.- Strong understanding of data modeling and graph database concepts.- Experience with data integration tools and ETL processes.- Familiarity with data quality frameworks and best practices.- Proficient in programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 5 years of experience in Neo4j.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

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 : Microsoft Azure Analytics Services, Knowledge of RAR, Knowledge of SAP ProjectsWBS S Good to have skills : NAMinimum 12 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. Your typical day will involve collaborating with various teams to ensure that application development aligns with business objectives, overseeing project timelines, and facilitating communication among stakeholders. You will also engage in problem-solving activities, providing guidance and support to your team while ensuring that best practices are followed throughout the development process. Your role will be pivotal in driving the success of application initiatives and fostering a collaborative environment. 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.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate training and development opportunities for team members to enhance their skills.- Monitor project progress and implement necessary adjustments to meet deadlines. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Analytics Services.- Strong understanding of cloud computing concepts and architecture.- Experience with data integration and ETL processes.- Familiarity with data visualization tools and techniques.- Ability to design and implement scalable analytics solutions. Additional Information:- The candidate should have minimum 12 years of experience in Microsoft Azure Analytics Services.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

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 : PySpark 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 PySpark- 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 PySpark- This position is based at our Hyderabad office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves creating cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. 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.- Expected to provide solutions to problems that apply across multiple teams.- Lead the implementation of large language models in AI applications.- Research and apply cutting-edge AI techniques to enhance system performance.- Contribute to the development and deployment of AI solutions across various domains. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- 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 12 years of experience in Large Language Models.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education