532 Data Manipulation Jobs - Page 15

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 : 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 : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 3 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 effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data strategy of the organization, ensuring that data solutions are efficient, scalable, and aligned with business objectives. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with stakeholders to gather and analyze data requirements.- Design and implement robust data pipelines to support data processing and analytics. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data modeling and database design principles.- Experience with ETL tools and data integration techniques.- Familiarity with cloud platforms and services related to data storage and processing.- Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- 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

Job Title - S&C Global Network - AI - Supply Chain Analytics - Consultant Management Level: 9-Team Lead/Consultant Location: Bengaluru/Mumbai/Hyderabad/Gurugram Must-have skills: Supply Chain Management (SCM) Good to have skills: Knowledge of emerging technologies, cloud computing, and cybersecurity best practices. Job Summary : Candidate should have good understanding of statistics/analytical/optimization methods and approaches. The ideal candidate should be able to bring in meaningful data driven insights supporting with statistical concepts and apply the same in wider Supply Chain area. The candidate is expected to use data science skills to solve clients business problem in the supply chain area. The candidate should have functional skill set and Supply Chain domain knowledge with ability to apply data science skill set to solve supply chain problems. Additionally, the role would require contributing towards asset development initiatives. Roles & Responsibilities: Develop and execute technology transformation strategies, oversee implementation projects, and optimize digital capabilities for business efficiency. 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. Experience and Education5-6 years of experience in Machine Learning and/or Optimization Techniques. Masters degree in technology or engineering or quantitative field (e.g. MSc in Statistics and Operations Research, M Tech in Industrial Engineering, Applied Math/Statistics, Computer Science) Certifications in any one or two of the areas will be an added advantage:Python, AI/ML, Optimization, Simulation, any of the cloud platforms (Azure/ GCP/ AWS). Mandatory Skills: Must haveProficiency in data modeling developed through client projects. Extensive use of data-driven techniques including exploratory data analysis and data pre-processing to solve business problems. Proficient in using Python/PySpark programming for data manipulation, data visualization, and machine learning models with good hands-on experience. Proficiency in any one of the Cloud solutions Azure, GCP or AWS Proficiency in SQL for data preparation, manipulation, and descriptive analysis Proficient in supply chain domain Excellent written and oral communication skills Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 8-10Years Educational Qualification: Any Degree

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Supply Chian Analytics Title :- Ind & Func AI Decision Science Consultant Job location :- Bangalore/Gurgaon/Hyderabad/ Mumbai Explore an Exciting Career at Accenture Do you believe in creating an impactAre you a problem solver who enjoys working on transformative strategies for global clientsAre you passionate about being part of an inclusive, diverse, and collaborative culture Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Strategy and Consulting Candidate should have good understanding of statistics/analytical/optimization methods and approaches. The ideal candidate should be able to bring in meaningful data driven insights supporting with statistical concepts and apply the same in wider Supply Chain area. The candidate is expected to use data science skills to solve clients business problem in the supply chain area. The candidate should have functional skill set and Supply Chain domain knowledge with ability to apply data science skill set to solve supply chain problems. Additionally, the role would require contributing towards asset development initiatives.Qualification Experience and Education: 5-6 years of experience in Machine Learning and/or Optimization Techniques. Masters degree in technology or engineering or quantitative field (e.g. MSc in Statistics and Operations Research, M Tech in Industrial Engineering, Applied Math/Statistics, Computer Science) Certifications in any one or two of the areas will be an added advantage:Python, AI/ML, Optimization, Simulation, any of the cloud platforms (Azure/ GCP/ AWS). Mandatory Skills: Must have: Proficiency in data modeling developed through client projects. Extensive use of data-driven techniques including exploratory data analysis and data pre-processing to solve business problems. Proficient in using Python/PySpark programming for data manipulation, data visualization, and machine learning models with good hands-on experience. Proficiency in any one of the Cloud solutions Azure, GCP or AWS Proficiency in SQL for data preparation, manipulation, and descriptive analysis Proficient in supply chain domain Excellent written and oral communication skills Good to have: Experience on Simulation and Optimization Visualization packages like Tableau/ Power BI Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP Exposure to Client interaction Exposure to business platforms (o9/Kinaxis/BY)

Job Title - S&C Global Network - AI - Supply Chain Analytics - Consultant Management Level: 9-Team Lead/Consultant Location: Hyderabad, HDC2A Must-have skills: Supply Chain Analytics 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. Candidate should have good understanding of statistics/analytical/optimization methods and approaches. The ideal candidate should be able to bring in meaningful data driven insights supporting with statistical concepts and apply the same in wider Supply Chain area. The candidate is expected to use data science skills to solve clients business problem in the supply chain area. The candidate should have functional skill set and Supply Chain domain knowledge with ability to apply data science skill set to solve supply chain problems. Additionally, the role would require contributing towards asset development initiatives. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. 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. Mandatory Skills: Must have: Proficiency in data modeling developed through client projects. Extensive use of data-driven techniques including exploratory data analysis and data pre-processing to solve business problems. Proficient in using Python/PySpark programming for data manipulation, data visualization, and machine learning models with good hands-on experience. Proficiency in any one of the Cloud solutions Azure, GCP or AWS Proficiency in SQL for data preparation, manipulation, and descriptive analysis Proficient in supply chain domain Excellent written and oral communication skills Good to have: Experience on Simulation and Optimization Visualization packages like Tableau/ Power BI Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP Exposure to Client interaction Exposure to business platforms (o9/Kinaxis/BY) Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 8-10Years Educational Qualification: Any Degree

Job Title - S&C Global Network - AI - Supply Chain Analytics - Consultant Management Level: 9-Team Lead/Consultant Location: Bengaluru, BDC7C Must-have skills: Supply Chain Analytics 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. 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. Mandatory Skills: Must have: Proficiency in data modeling developed through client projects. Extensive use of data-driven techniques including exploratory data analysis and data pre-processing to solve business problems. Proficient in using Python/PySpark programming for data manipulation, data visualization, and machine learning models with good hands-on experience. Proficiency in any one of the Cloud solutions Azure, GCP or AWS Proficiency in SQL for data preparation, manipulation, and descriptive analysis Proficient in supply chain domain Excellent written and oral communication skills Good to have: Experience on Simulation and Optimization Visualization packages like Tableau/ Power BI Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP Exposure to Client interaction Exposure to business platforms (o9/Kinaxis/BY) Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 8-10Years Educational Qualification: Any Degree

Job Title - S&C Global Network - AI - Supply Chain Analytics - Consultant Management Level: 9-Team Lead/Consultant Location: Gurugram, DDC1A, NonSTPI Must-have skills: Supply Chain Analytics 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. Candidate should have good understanding of statistics/analytical/optimization methods and approaches. The ideal candidate should be able to bring in meaningful data driven insights supporting with statistical concepts and apply the same in wider Supply Chain area. The candidate is expected to use data science skills to solve clients business problem in the supply chain area. The candidate should have functional skill set and Supply Chain domain knowledge with ability to apply data science skill set to solve supply chain problems. Additionally, the role would require contributing towards asset development initiatives. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. 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. Mandatory Skills: Must have: Proficiency in data modeling developed through client projects. Extensive use of data-driven techniques including exploratory data analysis and data pre-processing to solve business problems. Proficient in using Python/PySpark programming for data manipulation, data visualization, and machine learning models with good hands-on experience. Proficiency in any one of the Cloud solutions Azure, GCP or AWS Proficiency in SQL for data preparation, manipulation, and descriptive analysis Proficient in supply chain domain Excellent written and oral communication skills Good to have: Experience on Simulation and Optimization Visualization packages like Tableau/ Power BI Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP Exposure to Client interaction Exposure to business platforms (o9/Kinaxis/BY) Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 8-10Years Educational Qualification: Any Degree

Job Title - S&C Global Network - AI - Supply Chain Analytics - Consultant Management Level: 9-Team Lead/Consultant Location: Bengaluru, BDC7C Must-have skills: Supply Chain Analytics 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. Candidate should have good understanding of statistics/analytical/optimization methods and approaches. The ideal candidate should be able to bring in meaningful data driven insights supporting with statistical concepts and apply the same in wider Supply Chain area. The candidate is expected to use data science skills to solve clients business problem in the supply chain area. The candidate should have functional skill set and Supply Chain domain knowledge with ability to apply data science skill set to solve supply chain problems. Additionally, the role would require contributing towards asset development initiatives. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. 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. Mandatory Skills: Must have: Proficiency in data modeling developed through client projects. Extensive use of data-driven techniques including exploratory data analysis and data pre-processing to solve business problems. Proficient in using Python/PySpark programming for data manipulation, data visualization, and machine learning models with good hands-on experience. Proficiency in any one of the Cloud solutions Azure, GCP or AWS Proficiency in SQL for data preparation, manipulation, and descriptive analysis Proficient in supply chain domain Excellent written and oral communication skills Good to have: Experience on Simulation and Optimization Visualization packages like Tableau/ Power BI Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP Exposure to Client interaction Exposure to business platforms (o9/Kinaxis/BY) Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 8-10Years Educational Qualification: Any Degree

Hiring for Gen AI and Machine Learning Data Scientist-Pan India- Proficiency in programming languages such as Python or R . Good understanding of statistical principles for ML applications Experience with data manipulation and analysis using libraries such as pandas, NumPy, and SciPy. Exceptional knowledge of Deep Learning techniques , model architectures, and parameter fine-tuning Very good knowledge of GenAI with good understanding of foundation models and transformer architecture Familiarity with data visualization tools (e.g., Matplotlib, Seaborn). Experience with SQL and relational databases.

JR: R00244153 Experience: 3-5Years Educational Qualification: Any Degree --------------------------------------------------------------------- Job Title - S&C Global Network - AI - Supply Chain Analytics - Analyst Management Level: 11-Analyst Location: Mumbai, MC1 Building, NonSTPI Must-have skills: Data Analytics 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. Candidate should have good understanding of statistics/time series forecasting/Optimization methods and approaches. The candidate should be able to bring in meaningful data driven insights supporting with statistical concepts and apply the same in wider Supply Chain area. The candidate is expected to use data science skills to solve clients business problem in the supply chain area. Additionally, the role would require contributing towards asset development initiatives. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. 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. Mandatory Skills: Must have: Proficiency in data modeling developed through client projects. Extensive use of data-driven techniques including exploratory data analysis and data pre-processing to solve business problems. Proficient in using Python/PySpark programming for data manipulation, data visualization, and machine learning models with good hands-on experience. Proficiency in any one of the Cloud solutions Azure, GCP or AWS Proficiency in SQL for data preparation, manipulation, and descriptive analysis Proficient in supply chain domain Excellent written and oral communication skills Good to have: Experience on Simulation and Optimization Visualization packages like Tableau/ Power BI Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP Exposure to Client interaction Exposure to business platforms (o9/Kinaxis/BY) Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 3-5Years Educational Qualification: Any Degree

Job Title - S&C Global Network - AI - Supply Chain Analytics - Analyst Management Level: 11-Analyst Location: Pune, PDC6A Must-have skills: Data Analytics 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. Candidate should have good understanding of statistics/time series forecasting/Optimization methods and approaches. The candidate should be able to bring in meaningful data driven insights supporting with statistical concepts and apply the same in wider Supply Chain area. The candidate is expected to use data science skills to solve clients business problem in the supply chain area. Additionally, the role would require contributing towards asset development initiatives. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. 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. Mandatory Skills: Must have: Proficiency in data modeling developed through client projects. Extensive use of data-driven techniques including exploratory data analysis and data pre-processing to solve business problems. Proficient in using Python/PySpark programming for data manipulation, data visualization, and machine learning models with good hands-on experience. Proficiency in any one of the Cloud solutions Azure, GCP or AWS Proficiency in SQL for data preparation, manipulation, and descriptive analysis Proficient in supply chain domain Excellent written and oral communication skills Good to have: Experience on Simulation and Optimization Visualization packages like Tableau/ Power BI Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP Exposure to Client interaction Exposure to business platforms (o9/Kinaxis/BY) Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 3-5Years Educational Qualification: Any Degree

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Supply Chian Analytics Title :- Ind & Func AI Decision Science Analyst Job location :- Bangalore/Gurgaon/Hyderabad/ Mumbai Explore an Exciting Career at Accenture Do you believe in creating an impactAre you a problem solver who enjoys working on transformative strategies for global clientsAre you passionate about being part of an inclusive, diverse, and collaborative culture Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Strategy and Consulting Candidate should have good understanding of statistics/time series forecasting/Optimization methods and approaches. The candidate should be able to bring in meaningful data driven insights supporting with statistical concepts and apply the same in wider Supply Chain area. The candidate is expected to use data science skills to solve clients business problem in the supply chain area. Additionally, the role would require contributing towards asset development initiatives. Experience and Education: 2-3 years of experience in Machine Learning, Time series forecasting or Optimization Techniques. Masters degree in technology or engineering or quantitative field (e.g. MSc in Statistics and Operations Research, M.Tech. in Industrial Engineering, Applied Math/Statistics, Computer Science, MBA in Operations). Certifications in any one or two of the areas will be an added advantage:Python, AI/ML, Optimization, Simulation, any of the cloud platforms (Azure/ GCP/ AWS). Qualification Mandatory Skills: Must have: Proficiency in data modeling developed through client projects. Extensive use of data-driven techniques including exploratory data analysis and data pre-processing to solve business problems. Proficient in using Python/PySpark programming for data manipulation, data visualization, and machine learning models with good hands-on experience. Proficiency in any one of the Cloud solutions Azure, GCP or AWS Proficiency in SQL for data preparation, manipulation, and descriptive analysis Proficient in supply chain domain Excellent written and oral communication skills Good to have: Experience on Simulation and Optimization Visualization packages like Tableau/ Power BI Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP Exposure to Client interaction Exposure to business platforms (o9/Kinaxis/BY) About Accenture: www.accenture.com About Accenture Strategy & Consulting: Accenture Strategy shapes our clients future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategy's services include those provided by our Capability Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our Capability Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world.

Skill required: Sales Support - Sales Enablement Designation: Service Delivery Ops Specialist Qualifications: Any Graduation Years of Experience: 8 to 10 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 "Transforming sales to become a future-ready and digital B2B revenue engine.Supporting the sales for License , training , pricing , budgeting and negotiation - Backend supportEquip sales teams with the right content, training, and data to drive sales activity." What are we looking for """- Domain experience in sales operations, sales enablement, sales excellence, or a similar role within a fast-paced, dynamic environment.- Strong understanding of sales principles and methodologies- Expertise in managing sales operations back office processes with knowledge of operations processes, tools and technology.- Strong analytical skills with proficiency in data manipulation and reporting tools- Expertise in sales performance metrics, incentive plan design, and compensation methodologies- Excellent communication and interpersonal skills to effectively collaborate with diverse stakeholders- Proven leadership abilities to manage and motivate a team- Experience with CRM systems and incentive compensation software- Financial acumen and understanding of budgeting and forecasting- Bachelor s degree in Business Administration, Finance, or a related field """"- Ability to establish strong client relationship- Ability to manage multiple stakeholders- Adaptable and flexible- Agility for quick learning- Negotiation skills- Process-orientation- Collaboration and interpersonal skills""Varisense, Anaplan, Calidus" Roles and Responsibilities: """An """"Incentives Management Team Lead"""" is responsible for overseeing the design, implementation, and ongoing management of incentive programs within an organization, leading a team to ensure accurate calculations, timely payouts, and alignment with business goals, while collaborating with cross-functional teams to optimize incentive strategies and compliance with relevant regulations; key duties include developing incentive plans, analyzing performance data, resolving disputes, and driving process improvements to maximize program effectiveness. Key Responsibilities:Incentive Plan Design & Development:Collaborate with sales, marketing, and HR to design and implement incentive plans aligned with business objectives and performance metrics. Develop complex incentive structures, including quota setting, target calculations, and payout formulas. Ensure clear communication of incentive plans to all eligible employees. Data Analysis & Reporting:Analyze sales performance data to assess the effectiveness of incentive programs and identify areas for improvement. Generate comprehensive reports on incentive payouts, sales trends, and key performance indicators (KPIs) for management review. Utilize data analytics tools to identify patterns and insights to optimize incentive plans. Team Management & Leadership:Lead and mentor a team of incentive analysts responsible for data management, calculation, and payout processing. Assign tasks, provide coaching, and develop team skills to ensure operational efficiency. Foster a collaborative work environment and promote continuous improvement within the team. Compliance & Governance:Ensure adherence to all applicable incentive compensation regulations and company policies. Monitor incentive plan compliance, identify potential issues, and implement corrective actions. Conduct regular audits and reviews to maintain data accuracy and compliance. Stakeholder Management:Collaborate with cross-functional teams including sales leadership, finance, HR, and IT to address incentive program related issues and implement necessary changes. Communicate incentive plan updates and address inquiries from sales representatives and managers. """ Qualification Any Graduation

Job Title - S&C Global Network - AI - Supply Chain Analytics - Analyst Management Level: 11-Analyst Location: Hyderabad, HDC2A Must-have skills: Data Analytics 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. Candidate should have good understanding of statistics/time series forecasting/Optimization methods and approaches. The candidate should be able to bring in meaningful data driven insights supporting with statistical concepts and apply the same in wider Supply Chain area. The candidate is expected to use data science skills to solve clients business problem in the supply chain area. Additionally, the role would require contributing towards asset development initiatives. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. 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. Mandatory Skills: Must have: Proficiency in data modeling developed through client projects. Extensive use of data-driven techniques including exploratory data analysis and data pre-processing to solve business problems. Proficient in using Python/PySpark programming for data manipulation, data visualization, and machine learning models with good hands-on experience. Proficiency in any one of the Cloud solutions Azure, GCP or AWS Proficiency in SQL for data preparation, manipulation, and descriptive analysis Proficient in supply chain domain Excellent written and oral communication skills Good to have: Experience on Simulation and Optimization Visualization packages like Tableau/ Power BI Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP Exposure to Client interaction Exposure to business platforms (o9/Kinaxis/BY) Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 3-5Years Educational Qualification: Any Degree

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Google BigQuery Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with teams to develop innovative solutions and ensure seamless application functionality. Roles & Responsibilities:- Expected to be a SME with deep knowledge and experience.- Should have Influencing and Advisory skills.- 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 application development process.- Implement best practices for application design and development.- Collaborate with cross-functional teams to ensure application alignment with business goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery.- Strong understanding of data analytics and data modeling.- Experience with cloud-based data warehousing solutions.- Hands-on experience in optimizing query performance.- Proficient in SQL and data manipulation techniques. Additional Information:- The candidate should have a minimum of 15 years of experience in Google BigQuery.- This position is based at our Noida 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 : Engineering graduate preferably Computer Science graduate 15 years of 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 oversee the application development process and ensure successful project delivery. 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- Ensure timely project delivery- Provide technical guidance and mentorship to team members Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark- Strong understanding of big data processing- Experience with data processing frameworks like Apache Spark- Hands-on experience in designing and implementing scalable data pipelines- Solid grasp of data manipulation and transformation techniques Additional Information:- The candidate should have a minimum of 5 years of experience in PySpark- This position is based at our Chennai office- An Engineering graduate preferably Computer Science graduate with 15 years of full-time education is required Qualification Engineering graduate preferably Computer Science graduate 15 years of full time education

Description: ACCOUNTABILITIES: Designs, codes, tests, debugs and documents software according to Dell s systems quality standards, policies and procedures. Analyzes business needs and creates software solutions. Responsible for preparing design documentation. Prepares test data for unit, string and parallel testing. Evaluates and recommends software and hardware solutions to meet user needs. Resolves customer issues with software solutions and responds to suggestions for improvements and enhancements. Works with business and development teams to clarify requirements to ensure testability. Drafts, revises, and maintains test plans, test cases, and automated test scripts. Executes test procedures according to software requirements specifications Logs defects and makes recommendations to address defects. Retests software corrections to ensure problems are resolved. Documents evolution of testing procedures for future replication. May conduct performance and scalability testing. RESPONSIBILITIES: Leads small to moderate budget projects; may perform in project leadership role and/or may supervise the activities of lower level personnel. Provides resolutions to a diverse range of complex problems. Executes schedules, costs and documentation to ensure assigned projects come to successful conclusion. May assist in training, assigning and checking the work of less experienced developers. Performs estimation efforts on projects and tracks progress. Drafts and revises test plans and scripts with consideration to end-to-end system flows. Executes test scripts according to application requirements documentation. Logs defects, identifies course of action and performs preliminary root cause analysis. Analyzes and communicates test results to project team. Description Comments Additional Details Description Comments : Skills: Python, PySpark and SQL 5 years of experience in Spark, Scala, PySpark for big data processing Proficiency in Python programming for data manipulation and analysis. Experience with Python libraries such as Pandas, NumPy. Knowledge of Spark architecture and components (RDDs, DataFrames, Spark SQL). Strong knowledge of SQL for querying databases. Experience with database systems like Lakehouse, PostgreSQL, Teradata, SQL Server. Ability to write complex SQL queries for data extraction and transformation. Strong analytical skills to interpret data and provide insights. Ability to troubleshoot and resolve data-related issues. Strong problem-solving skills to address data-related challenges Effective communication skills to collaborate with cross-functional teams.Role/Responsibilities: Work on development activities along with lead activities Coordinate with the Product Manager (PdM) and Development Architect (Dev Architect) and handle deliverables independently Collaborate with other teams to understand data requirements and deliver solutions. Design, develop, and maintain scalable data pipelines using Python and PySpark. Utilize PySpark and Spark scripting for data processing and analysis Implement ETL (Extract, Transform, Load) processes to ensure data is accurately processed and stored. Develop and maintain Power BI reports and dashboards. Optimize data pipelines for performance and reliability. Integrate data from various sources into centralized data repositories. Ensure data quality and consistency across different data sets. Analyze large data sets to identify trends, patterns, and insights. Optimize PySpark applications for better performance and scalability. Continuously improve data processing workflows and infrastructure. Not to Exceed Rate : (No Value)

About the Role We are looking for a passionate and skilled AI/ML Developer to join our dynamic team. The ideal candidate will have strong experience with LangChain , Retrieval-Augmented Generation (RAG) , Agentic AI systems , as well as expertise in clustering , regression , deep learning , and data transformation/cleaning techniques. You will work on building intelligent, autonomous AI solutions that drive innovative business applications. Responsibilities Design and develop AI applications using LangChain and Agentic AI architectures . Implement RAG pipelines for advanced knowledge retrieval and reasoning tasks. Build machine learning models for clustering , regression , and prediction tasks. Develop and fine- tune deep learning models for text-based or tabular data. Perform thorough data cleaning , transformation , and feature engineering . Write efficient, production-quality Python code. Work with SQL databases for data querying and preparation. Research and stay updated with new techniques in LLMs , Agentic AI , and machine learning. Requirements Excellent programming skills in Python. Proficient in SQL for database querying and data manipulation. Strong understanding of machine learning algorithms (especially clustering and regression). Hands-on experience with deep learning frameworks (TensorFlow, PyTorch , or Keras ). Practical experience with LangChain , RAG , and building autonomous AI agents . Expertise in data preprocessing , cleaning, and transformation techniques. Preferred Skills Experience working with LLMs (Large Language Models) and prompt engineering. Knowledge of vector databases like Pinecone, FAISS, or ChromaDB . Strong analytical thinking and problem-solving skills . Ability to work independently and in collaborative environments.

data preparation, blending, visualization using Alteryx, Tableau Develop, test, Support Alteryx canvases SQL fundamentals Analytical apps,macros in Alteryx dashboards, reports using Tableau. python for data manipulation, integration API and DB

job requisition idJR1027768 Job Summary Synechron is seeking an experienced Salesforce Technical Lead to join our dynamic team. In this role, you will be responsible for designing, developing, and delivering scalable Salesforce solutions that align with business needs and technical best practices. You will lead development efforts, mentor team members, and collaborate with stakeholders to implement end-to-end Salesforce platforms that drive operational efficiency and enhance user experience. Your expertise will contribute significantly to our digital transformation initiatives, ensuring robust, maintainable, and innovative solutions within a fast-paced environment. Software Required Skills: Salesforce Development Environment (VS Code, SFDX, Salesforce CLI) intermediate to advanced proficiency Version ControlGit, Bitbucket experience with branching, merging, and code management Development ToolsSalesforce Lightning Design System, Lightning Web Components (LWC) frameworks Programming LanguagesApex, JavaScript strong coding skills essential Salesforce Configuration ToolsFlows, Process Builder, Approval Processes, Email Templates Data Query LanguagesSOQL and SOSL Mobile and Experience Cloud setups and configurations foundational knowledge Industry-standard toolsJIRA, Confluence usage for project management and documentation Preferred Skills: Salesforce Certifications (e.g., Platform Developer I & II, Lightning Web Components Developer, Service & Sales Cloud certifications) Additional toolsAutoRabbit, MuleSoft, Einstein Analytics, GitHub, DevOps pipelines Overall Responsibilities Lead the end-to-end architecture, development, and deployment of Salesforce solutions in accordance with business requirements. Design scalable, extensible, and reusable Lightning web components and Apex classes that meet performance, security, and governance standards. Collaborate with Product Managers, Business Analysts, and Data teams to translate business needs into technical designs. Implement best practices in code quality, testing, and documentation, including test-driven development (TDD). Mentor and guide team members on development standards, code reviews, and technical innovations. Ensure solutions adhere to Salesforce security and data sharing models, including permissions, sharing rules, and access controls. Monitor and optimize Salesforce platform performance, respecting platform governing limits. Support deployment activities using version control and CI/CD pipelines. Stay current with Salesforce releases, features, and industry trends to continuously improve development practices. Foster an inclusive and collaborative team environment focused on sustainable and innovative solutions. Technical Skills (By Category) Programming Languages: Required: Apex, JavaScript Preferred: Visualforce, TypeScript Databases / Data Management: DML operations, SOQL, SOSL proficiency in querying and data manipulation Strong data modeling skills, Object and Object Relationship management Cloud Technologies: Salesforce Cloud platforms, including Sales Cloud, Service Cloud, Experience Cloud, and Mobile Frameworks and Libraries: Lightning Web Components (LWC), Lightning Design System Development Tools & Methodologies: Visual Studio Code, SFDX CLI, Git-based version control, Agile methodologies, TDD practices Security Protocols: Knowledge of Salesforce security model, sharing settings, permission sets, profiles, and sharing rules Experience Minimum of 10 + years of hands-on Salesforce development experience. Proven experience leading technical teams and delivering large-scale Salesforce solutions. Domain expertise in Financial Services, particularly in Investment Banking and Global Markets (Equities and Fixed Income), is preferred. Industry experience in the Financial Services sector is strongly desirable. Familiarity with Salesforce Communities setup and configuration is advantageous. Experience with integration tools like MuleSoft or AutoRabbit, and analytics tools such as Einstein, would be beneficial. Prior experience working in an Agile environment and practicing TDD. Alternative Pathways: Candidates with extensive hands-on Salesforce development across diverse industries and a strong focus on core technical skills may qualify through demonstrated project success and certifications. Day-to-Day Activities Develop, review, and optimize Salesforce applications, components, and automation processes. Conduct technical design sessions, code reviews, and mentor junior team members. Participate in daily stand-ups, sprint planning, and retrospective meetings. Collaborate closely with stakeholders to clarify technical requirements and provide updates. Prepare technical documentation, deployment plans, and test cases. Troubleshoot and resolve platform-related issues, ensuring compliance with Salesforce governor limits. Lead component and solution demonstrations for clients and internal teams. Maintain knowledge of latest Salesforce features, releases, and best practices to improve project outcomes. Qualifications Bachelor's degree or higher in Computer Science, Information Systems, or related fields. Certifications preferredSalesforce Certified Platform Developer I & II, Lightning Web Components Developer, and Cloud certifications relevant to the role. Hands-on training or continuous learning in Salesforce development practices. Ability to adapt quickly to new technologies and methodologies. Professional Competencies Strong analytical and problem-solving skills to navigate complex technical challenges. Effective leadership and mentorship abilities, fostering a collaborative team environment. Excellent communication skills to articulate technical concepts clearly to non-technical stakeholders. High level of adaptability and eagerness to learn emerging technologies. Ability to prioritize tasks, manage time efficiently, and deliver high-quality results within deadlines. Innovative mindset focused on sustainable and scalable solutions.

About this role: Wells Fargo is seeking a Senior Analytics Consultant with a proven track record of success preferably in the banking industry. In this role, you will: Consult, review and research moderately complex business, operational, and technical challenges that require an in-depth evaluation of variable data factors Perform moderately complex data analysis to support and drive strategic initiatives and business needs Develop a deep understanding of technical systems and business processes to extract data driven insights while identifying opportunities for engineering enhancements Lead or participate on large cross group projects Mentor less experienced staff Collaborate and consult with peers, colleagues, external contractors, and mid-level managers to resolve issues and achieve goals Leverage a solid understanding of compliance and risk management requirements for supported area. Required Qualifications: 4+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Strong analytical skills, proficiency in data manipulation tools like SQL, and the ability to translate complex data into actionable insights to inform strategic business decisions. Ability to collaborate closely with various stakeholders to develop and implement data strategies across the organization. Good to have certifications in Data Engineering. Domain understanding of home lending and its complete product lifecycle (Ops, Sales, Servicing, Risk) will be an added advantage. Strong understanding of business drivers and industry trends of lending products & home lending in specific. Detail oriented, results driven, and can navigate in a quickly changing and high demand environment while balancing multiple priorities. Expected to learn the business aspects quickly, multitask and prioritize between projects. Dedicated, enthusiastic, driven and performance-oriented; possesses a strong work ethic and good team player.

About this role: Wells Fargo is seeking a Lead Analytics Consultant with a proven track record of success preferably in the banking industry. In this role, you will: Advise line of business and companywide functions on business strategies based on research of performance metrics, trends in population distributions, and other complex data analysis to maximize profits and asset growth, and minimize operating losses within risk and other operating standards Provide influence and leadership in the identification of new tools and methods to analyze data Ensure adherence to compliance and legal regulations and policies on all projects managed Provide updates on project logs, monthly budget forecasts, monthly newsletters, and operations reviews Assist managers in building quarterly and annual plans and forecast future market research needs for business partners supported Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to resolve issues and achieve goals Lead projects, teams, or serve as a peer mentor to staff, interns and external contractors Required Qualifications: 5+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education. Desired Qualifications: 5+ Years hands on experience of working with SQL is a must. SQL: Write and optimize complex SQL queries for data retrieval, manipulation, and reporting. Design and implement efficient database structures and schemas to support application functionality. Collaborate with stake holders to understand data needs and translate them into effective database solutions. Ensure data integrity, security & compliance with regulatory standards. Demonstrate comprehensive understanding of US home mortgage business and related processes. Minimum of 2 years of experience in leading teams and managing the delivery of projects or initiatives. Consultative skills: should have the ability to rationalize business needs and solution design from people not knowing how to ask precisely for what they need. Excellent communication and interpersonal skills to build and maintain relationships at all levels, engage and influence stakeholders. Proven experience in aspirational people leadership, demonstrating the ability to inspire and motivate teams towards common goals Ability to perform analysis, build hypothesis, draw conclusions and communicate clear, actionable recommendations to business leaders & partners. Strong understanding of business drivers and industry trends of lending products & home lending in specific. Detail oriented, results driven, and can navigate in a quickly changing and high demand environment while balancing multiple priorities.

Job Description : As a biotechnology trailblazer, we're dedicated to discovering, developing, and commercializing cutting-edge gene and cell therapies, and biologics to transform global healthcare. If you're ready to be part of a team that's shaping the future of medicine and making a profound impact on patient lives worldwide, join Ocugen and well rewrite the future of healthcare together. Job purpose : The Statistical Programmer will be responsible for providing statistical services including analysis, interpretation, design, and reporting or communication of data evidence for research, development, and/or marketed product. The individual should be able to ensure application of appropriate statistical methods and generation of accurate and reproducible results through error- free statistical programming in SAS, R and/or other programming languages. This individual will work closely with the Director of Biostatistics, the rest of the team at Ocugen, and CROs to execute the statistical and data needs. Duties and responsibilities : SAS Programming : You'll utilize advanced SAS programming skills to analyze and report clinical trial data (both safety and efficacy). CDISC Standards : Proficiency in CDISC standards (SDTM & ADaM) is essential. You'll generate and validate SDTM and ADaM datasets, as well as create tables, listings, and figures (TLFs). Study Lead: Experience juggling multiple projects simultaneously is preferred. Submission Documents : You'll create and review submission documents and electronic case report forms (eCRTs). Collaboration: Effective communication with cross-functional teams and clients is crucial. Assists the Senior Director of Biometrics in providing statistical consultation for clinical programs, including randomization, sample size assessments, efficacy evaluations, and data review. Develops statistical analysis plans, including textual descriptions of planned analyses and mock-ups of data displays. Provides tabular and written summaries of analyses and statistical methodology. Ensures accurate programming of SAS clinical data extracts and data displays. Develops programming specifications, including analysis datasets and tables/listings/figures. Supports and/or leads programming for analysis datasets, TFLs, or standard tools following standard data models or user requirements. Ensures the integration of data across studies in support of CSS/CSE. Builds, leads, and maintains programming specifications for analysis datasets using tools and methodologies. Supports the creation and validation of submission requirements (e.g., annotated CRF, data export files, define documents). Interfaces with CRO to ensure data and statistical reporting is secure and timely. Proactively identifies risks, developing and implementing mitigation plans as applicable. Participates in study and department meetings, preparing agendas and minutes, and maintaining key decision and action item logs. May assist study teams and departments with financial tracking and reporting, including coordination of CRO, vendor, and site contracts. May assist in developing policies and procedures (SOPs). Additional tasks and projects as requested. Works in a multidisciplinary study team to provide timely and quality support for the analysis and reporting of clinical trials up to regulatory approval, product launch, and annual reports. If applicable, develops and provides department training for applications and standard tools developed by the department functions group. Qualifications : MS. (BS) in Statistics, Computer Science, Mathematics, Engineering, Life Science or related field Typically requires a minimum of 5 years of related experience with a Bachelors degree; or 3 years and a Masters degree SAS programming experience with clinical trial data in the Pharmaceutical & Biotech industry. Expertise: Familiarity with statistical principles, CDISC data, and standards. Proficiency in SAS programming skills in a clinical data environment with excellent analytical skills. Knowledge of other programming languages such as R, Python etc. Good knowledge of pharmaceutical clinical development (i.e., understanding of statistical concepts, techniques, and clinical trial principles). Knowledge of regulatory submissions and requirements is a plus SAS, (Base, Stat, Macro, graph); SAS certificates a plus Demonstrated attention to detail and outstanding organization skills. Self-motivated with a commitment to high quality, on-time deliverables. Excellent communication and collaboration skills with a team-oriented approach. Demonstrated ability to identify and resolve issues and effectively manage timelines. This position operates in an office setting, in person. Remote work will be limited. Job may additionally require incumbent to be available outside of these hours to handle priority business needs. This is a largely sedentary role.

Job TitleSenior RWE Manager Job Location-Hyderabad/Gurugram Job Responsibilities- Develop and execute comprehensive RWE strategies by leading the end-to-end process of study conceptualization, including protocol development, statistical analysis planning, and implementation of complex observational studies utilizing advanced epidemiological methods. Lead teams in designing and implementing sophisticated cohort identification algorithms using structured and unstructured data, and direct large-scale data projects using multiple real-world data sources by overseeing data extraction, cleaning, and standardization while ensuring compliance and data reproducibility. Guide the implementation of advanced statistical methods for confounding control and bias mitigation and oversee the development and validation of models for patient stratification, treatment response prediction, and adverse event detection. Develop and maintain strategic partnerships with external stakeholders (key opinion leaders, data vendors, technology partners) while leading the evaluation and selection of fit-for-purpose data sources, analytical tools, and platforms. Establish and implement standard operating procedures for the RWE practice, including documentation standards, quality control processes, and validation requirements. Manage direct reports; Coach & Mentor junior team members in advanced analytical methods and oversee the development of reusable analytical frameworks and code libraries. Monitor and optimize project performance metrics (financial, operational, compliance), implement corrective actions, and maintain comprehensive documentation for audits. Qualification- Advanced degree (PhD, MD, PharmD) with focus in biostatistics, epidemiology, or related quantitative field 8-10+ years of hands-on experience in health data science and real-world evidence generation with strong understanding of statistical concepts and methodologies Demonstrated expertise in observational research methodology and causal inference Strong track record of leading complex analytical projects using healthcare databases Experience with regulatory-grade real-world evidence studies Must have Skills: - Advanced programming skills in Python (pandas, numpy, scikit-learn) and R (tidyverse, survival) Expertise in SQL for complex data manipulation in healthcare databases Proficiency in handling claims data (medical, pharmacy), understanding of coding systems (ICD-10, CPT, HCPCS, NDC) and experience with standardized vocabularies (SNOMED, RxNorm, LOINC) Experience with different RWD data sources (Optum, Marketscan, Healtverity, etc) and common data models (OMOP, PCORnet) Demonstrated ability to develop and validate various statistical algorithms Strong knowledge of statistical methods for confounding control and bias mitigation Experience with electronic health record data extraction and processing Expertise in implementing causal inference methods (PS matching, IPTW, g-methods) Behavioural Attributes (1) ability to execute assigned tasks both independently and collaboratively with minimal supervision (2) Proactiveness in identifying solutions to challenges (3) Growth mindset demonstrated through intellectual curiosity, critical thinking, and a drive for collective business success. Skills that give you an edge- Knowledge of distributed computing platforms (Spark, Hadoop) Expertise in natural language processing for unstructured EHR data Proficiency in version control systems (Git) and collaborative development Knowledge of FDA & EMA guidelines for RWE and regulatory submissions Knowledge of privacy frameworks (HIPAA, GDPR) and clinical data security Strong analytical skills to solve and model complex business requirements are a plus. We will provide– (Employee Value Proposition) Offer an inclusive environment that encourages diverse perspectives and ideas Deliver challenging and unique opportunities to contribute to the success of a transforming organization Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-developmentonline Axtria Institute, knowledge sharing opportunities globally, learning opportunities through external certifications Sponsored Tech Talks & Hackathons Possibility to relocate to any Axtria office for short and long-term projects Benefit package -Health benefits -Retirement benefits -Paid time off -Flexible Benefits -Hybrid /FT Office/Remote