541 Data Manipulation Jobs - Page 21

Core Responsibilities Provide Data Testing & Validation against an assigned workstream within the OSB Group, through activities including but not limited to: Designing and executing tests to validate the accuracy, completeness, and integrity of data across various systems and databases. Developing tailored test plans, cases, and scripts for data validation. Delivering Data Quality Assurance by implementing processes and methodologies to ensure adherence to data standards and best practices. Conducting data mapping and integration testing to ensure seamless data flow between systems. Validating data transformations, mappings, and business rules with data engineers and developers. Identifying, documenting and managing data-related defects using a defect tracking system. Collaborating with stakeholders and technical teams to resolve data issues. Conducting root cause analysis and recommending solutions for long-term data integrity. Documenting test plans, results, reports. Presenting data test findings, metrics[DEL: . :DEL] Working with cross-functional teams to understand data requirements and validate data accuracy. Communicating test progress, risks, and issues to senior team members Developing engagement skills through project work. Adhering to data governance policies and industry standards to ensure data security and privacy. Maintaining the company’s compliance standards and ensure timely completion of all mandatory on-line training modules and attestations. Ensuring that you fully understand and comply with the organisation’s Risk Management Policies as they relate to your area of responsibility and demonstrate in your day-to-day work that you put customers at the heart of everything you do; Ensuring that you fully understand and comply with the organisation’s Data Governance Policies as they relate to your area of responsibility and demonstrate in your day-to-day work that you treat data as an important corporate asset which must be protected and managed; Experience Requirements Proven experience as a Data Test Analyst/ Data Quality Analyst or in a related role, with a minimum 3 years (or equivalent) experience of data testing concepts and methodologies is essential. Proficiency in designing and executing data tests, profiling, quality assessment, and validation is essential. Strong analytical and reporting skills to identify and analyse data issues is essential. Proficiency in SQL query writing and data manipulation from relational databases is essential. Familiarity with data governance principles and regulatory requirements (e.g., GDPR, CCPA) is desirable. Understanding of data integration, ETL processes, and transformation validation is essential. Experience in managing and tracking data-related defects is desirable. Experience of Mortgage and Savings, products and domain services are desirable. Experience in Datawarehouse concepts is essential. Experience in Microsoft SQL Server Database language is essential. Experience in Test Management tools like JIRA, Zephyr, ADO is desirable. Knowledge Requirements In-depth knowledge of the software development lifecycle and defect resolution process is essential. Comprehensive understanding of testing methodologies and frameworks is essential. Experience in system integration, regression testing, and user acceptance testing is essential. Knowledge of manual and automated testing processes is essential. Experience with Azure Data Fundamentals is desirable. Familiarity with financial services, banking services domains is desirable. Detailed knowledge of Microsoft Word, PowerPoint, Excel is essential. Excellent analytical, mathematical and creative problem-solving skills is essential. Knowledge of savings and mortgage products is desirable. Knowledge on Stored Procedure, Views, Indexes, Triggers is essential. Knowledge on Data pipelines is desirable. Knowledge on Knowledge on ETL tools like SSIS is desirable. experience with Azure or any cloud technology is desirable Skill and Competency Requirements Proficiency with SQL tools, including Microsoft SQL Management Studio is essential. Intermediate skills in testing tools are essential. Attention to detail and ability to learn and adapt quickly is essential. Intermediate level skills in respect of verbal & written communication are essential. Intermediate level skills in respect of the ability to self-manage are essential. Ability to work within diverse, highly technical development teams Required Qualifications/Certifications Degree (or equivalent) qualifications are desirable. Bachelor’s degree in computer science, Data Science, Information Systems, or a related field is desirable. Relevant certifications in software testing (e.g., ISTQB) is desirable. Microsoft Azure Data Fundamental (DP 900) is desirable. Core Responsibilities Provide Data Testing & Validation against an assigned workstream within the OSB Group, through activities including but not limited to: Designing and executing tests to validate the accuracy, completeness, and integrity of data across various systems and databases. Developing tailored test plans, cases, and scripts for data validation. Delivering Data Quality Assurance by implementing processes and methodologies to ensure adherence to data standards and best practices. Conducting data mapping and integration testing to ensure seamless data flow between systems. Validating data transformations, mappings, and business rules with data engineers and developers. Identifying, documenting and managing data-related defects using a defect tracking system. Collaborating with stakeholders and technical teams to resolve data issues. Conducting root cause analysis and recommending solutions for long-term data integrity. Documenting t

Responsibilities: Transform raw and unstructured data into structured, actionable formats for analysis and reporting. Write, optimize, and maintain SQL queries and stored procedures to ensure efficient data retrieval and processing. Design and implement complex SQL queries, including Common Table Expressions (CTEs), window functions, recursive queries, dynamic pivoting and joins, to extract actionable insights from large datasets efficiently. Design, develop, and maintain databases and data pipelines to support analytics and reporting needs. Perform data engineering tasks, including data ingestion, cleaning, and preprocessing. Conduct exploratory data analysis (EDA) to uncover trends, patterns, and insights. Develop and implement machine learning (ML) models and natural language processing (NLP) solutions to solve business challenges. Build and monitor key performance indicators (KPIs) for dashboards and reporting tools. Create wireframes and collaborate with stakeholders to design intuitive data visualizations and dashboards. Ensure data integrity and perform quality checks to maintain high standards of accuracy and reliability. Collaborate with cross-functional teams to align data initiatives with business goals. Manage data science projects from ideation to deployment, ensuring timely delivery and measurable impact. Communicate findings and insights effectively through presentations and reports to technical and non-technical audiences/ stakeholders. Utilize statistical modelling and data mining techniques to drive decision-making and strategy. Must-Have Skills: Proficiency in SQL and Python/R for data manipulation and analysis. Experience with Machine Learning (ML) and NLP techniques. Strong understanding of EDA and statistical modelling. Hands-on experience with Google Cloud Platform (GCP) and Vertex AI. Excellent communication and presentation skills. Solid grasp of data engineering principles, including ETL processes. Good-to-Have Skills: Knowledge of data mining techniques. Knowledge of generative AI tools and frameworks for tasks such as synthetic data generation and data augmentation. Familiarity with dashboard wireframe creation tools and methods. Ability to build or derive KPIs for visualization dashboards. Expertise in Excel for advanced calculations and analysis. Background in project management, including Agile or similar methodologies. Experience in cross-functional team collaboration. Hands-on experience fine-tuning or deploying pre-trained Gen AI models (e.g., Hugging Face Transformers, OpenAI APIs).

About The Role : Job TitleSenior Business Functional Analyst, AVP LocationBangalore, India Role Description Business Functional Analyst is responsible for business solution design as a whole in complex project environments (e.g. transformational programs). Identifying the full range of business requirements and translating requirements into specific functional specifications for solution development and implementation. Analyzing business requirements and the associated impacts of the changes. Designing and assisting businesses in developing optimal target state business processes. Creating and executing against roadmaps that focus on solution development and implementation. Answering questions of methodological approach with varying levels of complexity. Aligning with other key stakeholder groups (such as Project Management & Software Engineering) to support the link between the business divisions and the solution providers for all aspects of identifying, implementing, and maintaining solutions. Deutsche Banks Corporate Bank division is a leading provider of cash management, trade finance and securities finance. We complete green-field projects that deliver the best Corporate Bank - Securities Services products in the world. Our team is diverse, international, and driven by shared focus on clean code and valued delivery. At every level, agile minds are rewarded with competitive pay, support, and opportunities to excel. You will work as part of a cross-functional agile delivery team. You will bring an innovative approach to software development, focusing on using the latest technologies and practices, as part of a relentless focus on business value. You will be someone who sees engineering as team activity, with a predisposition to open code, open discussion and creating a supportive, collaborative environment. You will be ready to contribute to all stages of software delivery, from initial analysis right through to production support. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Understanding of software development methodologies and experience in analyzing system requirements. Should possess effective user story writing skills. Strong verbal and written communication skills to effectively communicate with stakeholders and present findings and recommendations. Knowledge of Agile methodologies and experience working in Agile environments, including conducting sprint planning and backlog grooming. Data warehousingUnderstanding of data warehouse concepts and experience with ETL (Extract, Transform, Load) processes. Strong understanding of the financial services industry or domain in which the organization operates, including relevant business processes, regulations, and trends. Your skills and experience 8+ years experience as Business Functional Analyst. Data analysisProficiency in tools like Excel, SQL, or Python for data manipulation, querying, and visualization. Business intelligence toolsExperience with platforms such as Tableau, Power BI, or Qlik for creating interactive dashboards and reports. Requirements managementAbility to use tools like JIRA, Confluence, or similar software to document and manage project requirements. Process modelingFamiliarity with BPMN (Business Process Model and Notation) or other modeling techniques to map out business processes. Strong understanding of various Agile methodologies such as scrum, kanban etc. Certified Scrum Master (CSM) is desirable. Certified Scrum Product Owner Certification is desirable. Excellent verbal, interpersonal and written communication skills. Bachelors degree in computer science or a related field How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Role & responsibilities Role Overview: We are hiring an experienced and passionate trainer to conduct in-person sessions at our Hyderabad campus. The ideal candidate should have strong technical expertise in Data Science, AI/ML, and Python programming, along with a passion for teaching and mentoring students. Youll be responsible for delivering high-quality training, guiding hands-on projects, and ensuring that our learners are equipped with in-demand skills and knowledge. Key Responsibilities: Deliver classroom-based training sessions on Data Science, Machine Learning, and AI tools and techniques. Break down complex concepts into simplified, engaging content suitable for beginners and intermediate learners. Guide students through live projects, capstone assignments, and lab sessions. Provide one-on-one mentorship and support during learning and project work. Collaborate with curriculum teams to continuously improve content and delivery. Stay updated with the latest trends in AI, ML, and emerging technologies like GenAI and LLMs. Why Join Us? If you’re passionate about empowering the next generation of tech professionals and believe in delivering practical, impactful education—WhiteScholars offers you a rewarding platform to shape future careers. Preferred candidate profile Who Should Apply: Candidates based in Hyderabad (onsite role only). Graduates in Computer Science, Engineering, Data Science, or a related field. Professionals with a solid understanding of core data science concepts, machine learning, and AI. Prior experience in training, teaching, or mentoring is preferred (but not mandatory). Working professionals from the industry looking to mentor part-time are also encouraged to apply. Willingness to travel occasionally for sessions or workshops. Must-Have Skills: Proficiency in Python, NumPy, Pandas, and Scikit-learn. Strong understanding of data preprocessing, model building, and evaluation techniques. Exposure to Power BI, TensorFlow/Keras, and basic NLP techniques. Ability to teach with clarity and adapt to different student learning styles. Excellent communication and presentation skills. Confident in handling live Q&A, student feedback, and interactive sessions. Good to Have: Experience with Deep Learning frameworks and GenAI tools (OpenAI, Hugging Face). Exposure to LLMs, Prompt Engineering, or real-world AI/ML deployments. Familiarity with GitHub, project portfolios, and interview preparation guidance.

Your expertise in Avaloq technologies, database management, and software development combined with a solid understanding of the Avaloq Enterprise-Wide Object Model will be critical in shaping and enhancing our data capabilities. This is a fantastic opportunity to bring your passion for innovation into a fast-paced, dynamic environment where your impact will be tangible. Skills Must have You will have between 3-5 years experience working as an Avaloq Developer. Mapping physical data from Avaloq and other platforms to the Enterprise Data Model, ensuring adherence to reference data standards and clear conceptual definitions. Performing data quality assessments, developing strategies to enhance data integrity, and creating Avaloq system functionalities to mitigate the risk of poor data at source. Supporting option analysis, data profiling, and interfacing with external rule/result repositories. Reviewing and optimising Avaloq APDM outcomes, defining treatment strategies, and improving system performance. Integrating the Avaloq APDM with external data minimisation orchestration tools. Designing and delivering data quality improvement solutions, including mass-data manipulation scripts and associated testing and reconciliation processes. Analysing business requirements and developing tailored software solutions. Supporting technical analysis and enhancements for Avaloq change requests and incidents. Collaborating with stakeholders to build alignment around technology change initiatives. Building and maintaining synthetic data delivery routines for test environments. Managing market data ingestion into the Avaloq Core Platform (ACP) via third-party tools. Nice to have ACCP certification *

Sr Associate HR Data Analysis - Eightfold Reporting What you will do Amgen is seeking a Sr Associate HR Data Analysis for the Eightfold Platform Reporting and transformation which rolls up to HR Systems & Solutions. Amgen uses Eightfold for Talent Management and CRM capabilities. The successful incumbent will act in a capacity to gather business requirements, design, develop and test, then deliver solutions for HR, Managers, and Leaders. You will work directly with clients to effectively research, troubleshoot, and resolve Eightfold data reporting requests including advanced dashboards and complex reporting. Candidate will support all new and existing reporting requests coming from the Eightfold platform team Run existing reports and audit the results to ensure accuracy Candidate will have the technical ability to create new reports within Eightfold by leveraging previous experience in report writing within this platform Update RAAS reporting as needed to support Eightfold platform as per business requirements Must be able to work independently and willingness to own the project, suggest improvements or strategies or even alternatives Strong programming collaboration skillset Balance concurrent projects that require inputs from cross-functional partners while managing expectations and impact on end users. Deliver reports while taking advantage of best practices to ensure consistent data definition and interpretation. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 1 to 3 years of HR IS experience OR Bachelor’s degree and 3 to 5 years of HR IS experience OR Diploma and 7 to 9 years of HR IS experience 5 years minimum experience with Eightfold advanced reporting 3 years minimum advanced reporting with Workday Workday RAAS report writing Eightfold advanced reporting including dashboards SQL Skills - 2 years minimum Cloud based BI and Analytics Database querying and data manipulation Reporting as a service (RAAS) setup and maintenance within Workday Workday reporting Critical thinking with attention to details Experience working in an agile environment Preferred Qualifications: Soft Skills: Excellent analytical and troubleshooting skills Strong verbal, written communication and presentation skills Ability to work effectively with global, virtual teams Strong technical acumen, logic, judgement and decision-making Strong initiative and desire to learn and grow Ability to manage multiple priorities successfully Solid understanding of databases Consultative approach (Presenting ideas, demonstrations, explaining complex functionality, developing ability to influence) Exemplary adherence to ethics, data privacy and compliance policies What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

What you will do Let’s do this. Let’s change the world. In this vital role you will an experienced BI Architect with expertise in Databricks, Power BI, and enterprise business intelligence (BI) solutions to design and implement scalable, high-performance BI architectures. This role will focus on data modeling, visualization, governance, self-service BI enablement, and cloud-based BI solutions, ensuring efficient, data-driven decision-making across the organization. The ideal candidate will have strong expertise in BI strategy, data engineering, data warehousing, semantic layer modeling, dashboarding, and performance optimization, working closely with data engineers, business partners, and leadership to drive BI adoption and enterprise analytics excellence. Design and develop enterprise BI architectures, integrating Power BI, and cloud-based analytics platforms to enable self-service analytics and data democratization. Create and optimize Power BI semantic models, including DAX calculations, tabular models, DirectQuery, Composite Models, and row-level security (RLS) for scalability and usability. Architect and implement ETL/ELT pipelines and data transformations within Databricks, SQL-based cloud data platforms, and data lakehouse architectures to ensure high-quality BI data sources. Design and manage enterprise BI frameworks, ensuring standardized critical metrics, business logic, and governed semantic layers across Power BI, Tableau, Looker, Qlik Sense, or other BI tools. Optimize BI query performance, indexing, partitioning, caching, and report rendering to enhance dashboard responsiveness and data refresh speed. Implement real-time and batch data integration strategies, ensuring smooth data flow from APIs, ERP/CRM systems (SAP, Salesforce, Dynamics 365), cloud storage, and third-party data sources into BI solutions. Establish and enforce BI governance best practices, including data cataloging, metadata management, access control, data lineage tracking, and compliance standards. Lead the design and development of interactive dashboards, paginated reports, and embedded analytics solutions that deliver actionable insights. Enable Power BI Service administration, including workspace management, deployment pipelines, API integrations, and BI automation strategies. Implement DataOps and CI/CD pipelines for BI, leveraging Power BI Deployment Pipelines, Git integration, and Infrastructure as Code (IaC) to enable version control and automation. Stay up to date with emerging BI technologies, cloud analytics trends, and AI/ML-powered BI solutions to drive innovation. Collaborate with business leaders, data analysts, and engineering teams to ensure BI adoption, self-service analytics enablement, and business-aligned critical metrics. Provide mentorship and training to BI developers, analysts, and business teams, fostering a data-driven culture across the enterprise. What we expect of you Master’s degree and 4 to 6 years of experience in Computer Science, IT or related field experience OR Bachelor’s degree and 6 to 8 years of experience in Computer Science, IT or related field experience OR Diploma and 10 to 12 years of experience in Computer Science, IT or related field experience Microsoft Certified Power BI Data Analyst Associate certification Basic Qualifications: Experience in BI architecture, data analytics, and enterprise BI solution development. Strong expertise in Power BI, including DAX, Power Query (M), tabular modeling, dashboard development, data visualization standard methodologies, and report optimization. Hands-on experience with Databricks (Apache Spark, Delta Lake, SQL, PySpark) for data processing, transformation, and analytics. Proficiency in SQL, Python, or Scala for data engineering and data manipulation. Expertise in BI strategy, critical metric standardization, and enterprise data modeling, including dimensional modeling, star schema, and data virtualization. Hands-on experience with cloud BI solutions and enterprise data warehouses, such as Azure Synapse, AWS Redshift, Snowflake, Google BigQuery, or SQL Server Analysis Services (SSAS). Strong understanding of Power BI Service, Power BI Embedded, Power Automate, and API-based data integrations. Experience with BI governance, access control, metadata management, data lineage, and regulatory compliance frameworks. Expertise in Agile BI development, Scaled Agile (SAFe), DevOps for BI, and CI/CD practices for BI deployments. Ability to collaborate with C-level executives, business units, and engineering teams to drive BI adoption and data-driven decision-making. Preferred Qualifications: Experience with SSAS (SQL Server Analysis Services), AAS (Azure Analysis Services), SAP BW, or other OLAP technologies. Knowledge of AI-powered BI, natural language processing (NLP) in BI, and automated machine learning (AutoML) for analytics. Experience with multi-cloud BI architectures and federated query solutions using Google Looker, Qlik Sense, or Tableau. Understanding of GraphQL, REST APIs, and data mesh principles for enterprise data access in BI. Knowledge of AI/ML pipeline integration within enterprise data architectures. Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Ability to learn quickly, be organized and detail oriented. Strong presentation and public speaking skills. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

About the Role We're looking for a sharp and experienced Consultant/Architect to guide our clients in strategically adopting Microsoft Fabric, with a specific focus on the design and implementation of the gold (semantic, reporting-ready) and silver (cleansed, integrated) data layers. Key Responsibilities Design end-to-end data architectures in Microsoft Fabric with a focus on the gold and silver layers. Collaborate with business units to understand data landscapes and translate requirements into actionable adoption strategies. Lead implementations involving Fabric components such as Data Factory, Synapse Data Warehouse, Data Lakehouse , and Power BI datasets . Develop and optimize data models for the silver and gold layers considering performance, scalability, and usability. Define and enforce data governance policies and standards within Microsoft Fabric. Identify and resolve performance issues in Fabric, especially in query performance and data processing. Mentor client and internal teams on best practices and architecture patterns for gold/silver layer development. Troubleshoot complex integration and transformation challenges in the Fabric ecosystem. Required Qualifications Deep understanding of modern data warehousing principles . Extensive experience designing and implementing data solutions on Microsoft Azure . Hands-on expertise with Microsoft Fabric components for building pipelines and analytical models. Proven ability to design dimensional and relational data models optimized for reporting (gold layer). Strong grasp of ETL/ELT patterns for building integrated data layers (silver layer). Experience with data quality checks and governance frameworks. Strong SQL skills for data manipulation and querying. Proficient in Power BI and its integration with Fabric datasets. Excellent communication and client engagement skills, with the ability to explain technical concepts to non-technical stakeholders. Preferred Qualifications Bachelor's degree in Computer Science, Data Science , or a related field (or equivalent experience). Microsoft certifications related to Azure data services or Fabric . Experience with real-time data processing and streaming in Fabric. Familiarity with data science workflows and their integration into Fabric-based solutions. Experience with Azure AI Foundry is a plus. Required Skills Fabric,Microsoft Technologies,Research Analysis

Job Summary: We are seeking a highly skilled SAP BODS Data Engineer with strong expertise in ETL development and Enterprise Data Warehousing (EDW) . The ideal candidate will have a deep understanding of SAP Business Objects Data Services (BODS) and will be responsible for designing, developing, and maintaining robust data integration solutions. Key Responsibilities: Design, develop, and implement efficient ETL solutions using SAP BODS. Build and optimize SAP BODS jobs, including job design, data flows, scripting, and debugging. Develop and maintain scalable data extraction, transformation, and loading (ETL) processes from diverse data sources. Create and manage data integration workflows to ensure high performance and scalability. Collaborate closely with data architects, analysts, and business stakeholders to deliver accurate and timely data solutions. Ensure data quality and consistency across different systems and platforms. Troubleshoot and resolve data-related issues in a timely manner. Document all ETL processes and maintain technical documentation. Required Skills & Qualifications: 3+ years of hands-on experience with ETL development using SAP BODS . Strong proficiency in SAP BODS job design, data flow creation, scripting, and debugging. Solid understanding of data integration , ETL concepts , and data warehousing principles . Proficiency in SQL for data querying, data manipulation, and performance tuning. Familiarity with data modeling concepts and major database systems (e.g., Oracle, SQL Server, SAP HANA). Excellent problem-solving skills and keen attention to detail. Strong communication and interpersonal skills to facilitate effective collaboration. Ability to work independently, prioritize tasks, and manage multiple tasks in a dynamic environment. Required Skills Sap,Edw,Etl

Strong background in Data Analysis focused projects (ideally Reference data, MDM, MS SQL). Sound understanding of SQL data structures and manipulation. Experience leading small to medium technical teams. Immediate start. Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad Chennai

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 client's 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. Qualifications 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 client's 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. Qualifications Experience:8-10Years Educational Qualification: Any Degree

Job Title - S&C Global Network - AI - Supply Chain Analytics - Analyst Management Level: 11-Analyst Location: Gurugram, DDC1A, 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 client's 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. Qualifications Experience: 3-5Years 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 client's 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. Qualifications Experience: 8-10Years Educational Qualification: Any Degree

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 client's 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. Qualifications Experience: 3-5Years 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 client's 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. Qualifications Experience: 8-10Years Educational Qualification: Any Degree

JR: R00244794 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 client's 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. Qualifications Experience: 8-10Years 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 client's 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. Qualifications 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 Consultant Job location :- Bangalore/Gurgaon/Hyderabad/ Mumbai Explore an Exciting Career at Accenture Do you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are 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 client's 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. Qualifications 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)

About Accenture:Accenture is a global professional services company with leading capabilities in digital, cloud and security. 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. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us atwww.accenture.comAbout The Role :CL 9 (Data Science Consultant- Supply Chain & Operations Analytics)[Accenture std. write-up..]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.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).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) Qualifications 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

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)

Entity:- Accenture Strategy & Consulting Team:- Global Network – Data & AI Practice:- S&C GN AI - Insurance Title:- Ind & Func AI Decision Science Sr Analyst / Analyst Job location:- Gurugram, Bengaluru About S&C - Global Network:- Accenture Global Network – Insurance Data & AI Practice helps our clients grow their business in entirely new ways. From strategy to execution, Accenture works with Property & Casualty insurers, Life & Retirement insurers, reinsurers and brokers across the value chain – from Underwriting to Claims to Servicing and Enterprise Functions – to develop analytic capabilities – from accessing and reporting on data to predictive modelling to Generative AI – that outperform the competition. We offer deep technical expertise in AI/ML tools, techniques & methods, along with strong strategy & consulting acumen and insurance domain knowledge. Our unique assets & accelerators coupled with diverse insurance insights and capabilities help us bring exceptional value to our clients. WHAT'S IN IT FOR YOU? Accenture Global Network is a unified powerhouse that combines the capabilities of Strategy & Consulting with the force multipliers of Data and Artificial Intelligence. It is central to Accentures future growth and Accenture is deeply invested in providing individuals with continuous opportunities for learning and growth. You'll be part of a diverse, vibrant, global community, continually pushing the boundaries of business capabilities. Accenture is also ranked 10th* on the 2023 Worlds Best Workplaces list, making it a great place to work. What you would do in this role Help the team architect, design, build, deploy, deliver, and monitor advanced analytics models for different insurance problems Collaborate with cross-functional global teams to understand complex business & engineering problems in insurance and translate them into data-driven solutions that deliver insights for action and operational improvements Consume data from multiple sources and present information in a crisp and digestible manner that delivers valuable insights to both technical and non-technical audiences Provide coaching to junior team-members on advanced analytical concepts Qualifications Who we are looking for? 2-4 years of experience in data-driven techniques including exploratory data analysis and data pre-processing & machine learning to solve business problems for the Insurance Industry Bachelor’s degree in mathematics, statistics, economics, computer science or related fields Strong foundation in Statistical Modeling, Machine Learning algorithms including k-means clustering, linear & logistic regression, decision trees and others Proficiency in programming languages such as Python, SQL, PySpark with experience in data manipulation, statistical analysis, and machine learning libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch) Good communication and presentation skills to effectively convey complex data insights and recommendations to clients and stakeholders Prior experience in the Insurance industry is mandatory

DESCRIPTION Key Responsibilities: Conduct descriptive and diagnostic analytics on data sources. Apply machine learning tools on data and metadata to improve data quality. Identify patterns and trends in data sets. Create reports and dashboards on analysis results using business intelligence technologies. Develop data profiles for data tables and elements in the data lake. Create data catalog entries and ensure data catalog metadata quality. Analyze diverse data sets to identify data quality, coherency, and integrability issues and reduce data redundancy. Collaborate to develop data cleansing methods and rules. Assist in the creation and maintenance of documentation of key decisions, rules, controls, and processes. RESPONSIBILITIES Qualifications: College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations. Competencies: Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm. Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences. Customer Focus: Building strong customer relationships and delivering customer-centric solutions. Tech Savvy: Anticipating and adopting innovations in business-building digital and technology applications. Data Analytics: Discovering, interpreting, and communicating qualitative and quantitative data; determining conclusions relying on knowledge of business or functional frameworks; simultaneously applying statistics, data validity, data visualization, and problem-solving approaches to effectively extract meaningful patterns and business insights; presenting conclusions and outcomes that enable data-driven business decisions. Data Communication and Visualization: Constructing a tale of the business problem, root cause, solution options, and opportunities through illustrating data visually, including reports and dashboards. Data Literacy: Expressing data in context, including data sources and constructs, analytical methods, and applied techniques; describing the use-case application and resulting value. Data Profiling: Assessing data issues and cleansing requirements to perform data extraction, mapping, collection, and testing; establishing good, quality data. Data Quality: Identifying, understanding, and correcting flaws in data that supports effective information governance across operational business processes and decision-making. Values Differences: Recognizing the value that different perspectives and cultures bring to an organization. QUALIFICATIONS Skills: Demonstrated experience as a Data Analyst or in a related data-centric role. Proficiency in SQL (preferably SQL Server) for querying and manipulating data. Practical experience with Databricks for tasks related to data engineering, data science, and analytics. Experience working with Databricks Lakehouse architecture and data warehousing concepts. Knowledge of Azure cloud services, including Azure Data Factory and Azure SQL Database. Expertise in Python programming. Skilled in using PowerBI to create interactive reports, dashboards, and visualizations, with familiarity in SSAS models. Strong analytical mindset with excellent problem-solving skills and keen attention to detail. Good communication skills, capable of conveying complex data insights clearly to non-technical stakeholders. Experience: Relevant experience preferred such as working in a temporary student employment, intern, co-op, or other extracurricular team activities. Knowledge of the latest technologies and trends in data science is highly preferred and includes: SQL query language execution on NoSQL and SQL sources. Exposure to Agile software development. Exposure to IoT technology. Data profiling tools, technologies, and coding. Data catalog tools and technologies. Business intelligence tools and technologies. Exposure to Big Data open source. Clustered compute cloud-based implementation experience.

locationsPune - EastPune, Astral CourtPune - WestPune, NOB Bulding time typeFull time posted onPosted 30+ Days Ago job requisition idJR-0008217 Job Summary: We are seeking a highly skilled and motivated Operational Reporting Specialist to join our dynamic Operations team. The ideal candidate will have extensive experience with Microsoft tools, particularly PowerBI, SharePoint, MS Excel, and MS Lists. They will be capable of not only using these tools but also understanding and interpreting business requirements. This role requires a proactive individual who can think independently and contribute to the continuous improvement of our reporting processes. Key Responsibilities: Develop, maintain, and enhance operational reports and dashboards using PowerBI, SharePoint, MS Excel, and MS Lists. Collaborate with various departments to gather and understand business requirements and translate them into effective reporting solutions. Analyze data to identify trends, patterns, and insights that can drive business decisions. Ensure data accuracy and integrity in all reports and dashboards. Manipulate and transform data to create meaningful and actionable insights. Provide training and support to team members on the use of PowerBI, SharePoint, MS Excel, and MS Lists. Continuously seek opportunities to improve reporting processes and tools. Respond to ad-hoc reporting requests and provide timely and accurate information. Skills Required: Proven experience with Microsoft PowerBI, SharePoint, MS Excel, and MS Lists. Strong analytical and problem-solving skills. Proficiency in data manipulation and transformation. Data-oriented mindset with a keen eye for detail. Ability to understand and interpret business requirements. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Detail-oriented with a focus on data accuracy and quality. Qualifications and Experience: Bachelor's degree in Business, Information Technology, or a related field. 5 - 10 years of relevant experience in an operational reporting role. DisclaimerUnsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.

We are looking candidate for MIS Executive Role based out at Head Office in Gomti Nagar, Lucknow. Job description: Data Management: Collect, process, and manage data from various sources. Ensure data accuracy, consistency, and integrity. Reporting: Generate and distribute regular and ad-hoc reports to management and other stakeholders. System Management: Maintain and manage the organization s MIS systems, ensuring they are up-to-date and functioning correctly. Provide technical support and training to users as needed. Data Analysis: Analyze data to identify trends, patterns, and insights that can support decision-making processes. Recommend improvements based on data analysis. Documentation: Develop and maintain documentation related to MIS processes, systems, and data management. Ensure that all procedures are documented and easily accessible. Location: Candidates from Lucknow location will be preferred. Work Experience: Minimum 2 years of Experience required as an MIS Executive role. Proficient in Advance Excel (Mandatory) Excel Proficiency skills: Conditional formatting Data sorting Data analysis Data manipulation Data validation Flash Fill Power Pivot Cell formatting INDEX MATCH Power Query Using shortcuts and formula functions Advanced macros and vba Business Analysis Calculate the sum Capturing and recording important data Apply for this position Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website. *