99 Data Preparation Jobs - Page 2

Snowflake Data Engineer1 Snowflake Data Engineer Overall Experience 5+ years of experience in Snowflake and Python. Experience of 5+ years in data preparation. BI projects to understand business requirements in BI context and understand data model to transform raw data into meaningful data using snowflake and Python. Designing and creating data models that define the structure and relationships of various data elements within the organization. This includes conceptual, logical, and physical data models, which help ensure data accuracy, consistency, and integrity. Designing data integration solutions that allow different systems and applications to share and exchange data seamlessly. This may involve selecting appropriate integration technologies, developing ETL (Extract, Transform, Load) processes, and ensuring data quality during the integration process. Create and maintain optimal data pipeline architecture. Good knowledge of cloud platforms like AWS/Azure/GCP Good hands-on knowledge of Snowflake is a must. Experience with various data ingestion methods (Snow pipe & others), time travel and data sharing and other Snowflake capabilities Good knowledge of Python/Py Spark, advanced features of Python Support business development efforts (proposals and client presentations). Ability to thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success. Excellent leadership and interpersonal skills. Eager to contribute to a team-oriented environment. Strong prioritization and multi-tasking skills with a track record of meeting deadlines. Ability to be creative and analytical in a problem-solving environment. Effective verbal and written communication skills. Adaptable to new environments, people, technologies, and processes Ability to manage ambiguity and solve undefined problems.

Data preparation and reviewing of excel and data Product-wise, region-wise reporting Collating and preparing daily, weekly, monthly, quarterly, half yearly, yearly reports Designing, preparing and managing the Dashboard on a daily basis Organizational skills to stay focused on assigned tasks Ensure data accuracy and timeliness of reports Must have Good analytical skill Expert in MS Excel Can join immediately

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

The job involves reviewing, approving, and scrutinizing expense GLs in SAP. You will be responsible for maintaining accurate records and documentation of all AP transactions. Ensuring regular vendor reconciliation, closing reconciliation points, responding to vendor inquiries, and resolving issues promptly are also key responsibilities. Compliance with Tax (TDS GST) while Processing Invoice and preparing data for filing TDS and GST return are crucial tasks. You must ensure compliance with company policies, procedures, and regulatory requirements. Strengthening and automating processes under your responsibility area is another important aspect of the role. The ideal candidate should have a CA (2-3 yrs exp) / Semi-Qualified (Inter CA) / Masters degree / bachelors degree in commerce with at least 4-7 years of experience in a corporate environment. Work experience in P2P process, month-end/year-end AP book closing, vendor reconciliation, AP reporting, and audit coordination is preferred. You should be a highly competent and motivated individual with excellent interpersonal and communication skills. Moderate PC skills with proficiency in MS Office apps, especially MS Excel, are required. Experience in SAP FICO will be an added advantage.,

You should have hands-on experience in Machine Learning Model and deep learning development using python. You will be responsible for Data Quality Analysis and Data preparation, Exploratory Data Analysis, and visualization of data. Additionally, you will define validation strategies, preprocessing or feature engineering on a given dataset, and data augmentation pipelines. Text processing using Machine Learning and NLP for processing documents will also be part of your role. Your tasks will include training models, tuning their hyperparameters, analyzing model errors, and designing strategies to overcome them. You should have experience with python packages such as Numpy, Scipy, Scikit-learn, Theano, TensorFlow, Keras, PyTorch, Pandas, and Matplotlib. Experience in working on Azure open AI studio or openai using python or LLAMA or Langchain is required. Moreover, experience in working on Azure function and python flask/api development/streamlit, prompt engineering, conversational AI, and LLM models like word2Vec, Glove, spacy, BERT embedding models is preferred. You are expected to possess distinctive problem-solving, strategic, and analytical capabilities, as well as excellent time-management and organization skills. Strong knowledge in Programming languages like Python, reactjs, SQL, big data is essential. Excellent verbal and written communication skills are necessary for effective interaction between business and technical architects and developers. You should have 2 - 4 years of relevant experience and a Bachelors Degree in Computer Science, Computer Engineering, masters in computer application, MIS, or a related field. End-to-End development experience in deployment of the Machine Learning model using python and Azure ML studio is required. Exposure in developing client-based or web-based software solutions and Certification of Machine Learning and Artificial Intelligence will be beneficial. Good to have experience in power platform or power pages or Azure OpenAI studio. Grant Thornton INDUS comprises GT U.S. Shared Services Center India Pvt Ltd and Grant Thornton U.S. Knowledge and Capability Center India Pvt Ltd. Grant Thornton INDUS is the shared services center supporting the operations of Grant Thornton LLP, the U.S. member firm of Grant Thornton International Ltd. Established in 2012, Grant Thornton INDUS employs professionals across a wide range of disciplines including Tax, Audit, Advisory, and other operational functions. The culture at Grant Thornton INDUS promotes empowered people, bold leadership, and distinctive client service. Working at Grant Thornton INDUS offers an opportunity to be part of something significant and serves communities in India through inspirational and generous services to give back to the communities they work in. Grant Thornton INDUS has its offices in two locations in India Bengaluru and Kolkata.,

As a Customer 360 Data Intelligence professional, you will be responsible for analyzing data to provide valuable insights and drive business decisions. Your role will involve collecting, cleaning, and preparing data to ensure its accuracy and reliability. Proficiency in data analysis and visualization tools such as SQL, Power BI, and Advanced Excel with Power Query is essential for this position. Your strong analytical and problem-solving skills, coupled with attention to detail, will be key to identifying trends and patterns in the data. Effective communication and presentation abilities are also crucial for sharing your findings with stakeholders. You should be able to work both independently and collaboratively in a fast-paced environment, adapting to changing priorities and deadlines. While not mandatory, knowledge of machine learning and data mining techniques would be advantageous in this role. If you have proven experience in data analysis, business intelligence, or related fields, and are looking to contribute to a dynamic team, we encourage you to apply for this position.,

You will be responsible for reviewing, approving, and scrutinizing expense GLs in SAP. It will be your duty to maintain accurate records and documentation of all AP transactions. You must ensure regular vendor reconciliation and address any reconciliation points promptly, responding to vendor inquiries and resolving issues. Compliance with Tax (TDS GST) while processing invoices will be a key aspect of your role, including preparing data for filing TDS and GST returns. You should ensure adherence to company policies, procedures, and regulatory requirements. Additionally, you will be tasked with strengthening and automating processes within your area of responsibility. To qualify for this position, you should hold a CA (2-3 yrs exp) / Semi Qualified (Inter CA) / Masters degree / bachelors degree in commerce with a minimum of 4-7 years of experience in a corporate environment. Experience in P2P process, month-end/year-end AP book closing, vendor reconciliation, AP reporting, and audit coordination will be beneficial. We are seeking a highly competent and motivated individual with excellent interpersonal and communication skills. Proficiency in MS Office applications, particularly MS Excel, is required. Previous work experience in SAP FICO will be an advantage.,

Role Summary: The Lead Data Scientist, Foundational Analytics is pivotal in ensuring that core data assets support the growth of our business. The appointed Lead will be required to apply their experience in managing a range of analytical resources and functions to develop a centre of excellence for analytic capabilities, fostering a culture of innovation, collaboration and expertise. They will work collaboratively with key stakeholders across the business to understand and set appropriate analytical strategies that support business growth, and apply these strategies to their business planning, and in particular support business growth initiatives through allocation of appropriate resources, subject matter expertise and long range planning. They will act as experts in developing the way we manage our foundational data assets and drive innovative analytical solutions that create value. They will also work with Data Engineers and implementation teams on solution design and with business stakeholders on change management. Role & responsibilities: Develop relationships with key internal and external stakeholders across Quantium to understand and support the strategic goals and key initiatives of the company Develop and execute strategy and business plans for the ongoing development of our foundational data assets Manage Lead and Senior Analysts in other verticals to achieve business plan goals on an ongoing basis across a variety of teams Set and manage aligned KPIs across one analytics team focussed on a single data partner Develop a culture of innovation and analytic excellence by focussing on development of existing team members and hiring the best talent available Drive accountability within the teams to achieve deadlines and the best possible analytic outcomes Support growth of the business through implementation of capabilities that streamline the ingestion and preparation of new data assets Support development of technology solutions that focus on automation of solutions, operational excellence and innovation by working with implementation and technology teams on solution design Key activities: Set and manage business plans for three or more foundational data assets including data curation, customer segmentation and other foundational analytics Engage with business and external stakeholders to gather feedback and requirements to drive the foundational analytics roadmap for key business initiatives Set up regular forums to engage stakeholders across the business that use these foundational data assets to receive and give feedback on current and future initiatives and ensure they are supported appropriately Manage the high-level prioritization process across teams including the use of WIPs, charter cards and business plans which are reviewed by the team on a regular basis, and manage stakeholders expectations regarding timeframes Develop and implement resource plans to support business plans and roadmaps Responsible for team recruitment, for both external and internal candidates Ensure tailored performance plans and KPIs are set, monitored and managed on a regular basis for all team members Provide coaching and support to direct reports to develop their management and analytical capabilities Monitor and approve technical designs that implement analytical outcomes and models Drive a culture of innovation by engaging with analysts across the team through a variety of forums including one to ones, skip level meetings, lunch time sessions and analytical showcases Foster a cohesive team spirit through team meetings, awards and strong communication Taking a structured and analytical approach in troubleshooting data issues and problems Performance manager for junior team members and enabling the team to succeed by resolving issues and building on strengths Preferred candidate profile: Strong background and understanding of data structures, data manipulation and transformation Previous experience in the fields of data science or high-level data analysis; data modelling experience highly regarded Previous experience working directly with Big Data Engineers highly regarded Previous experience with project management and people management Proven ability and experience in optimizing performance of an existing process with a can-do attitude Desire to work with a team of feedback-driven analysts and developers in a cross-functional and agile environment Lead level data science/data analytics and management of one or more team of analysts Variety of analytical roles preferred, including consulting Skills Required: Sound knowledge of technical analytics discipline, including data preparation, feature engineering and foundational analytics concepts, preferably including model development and model training Sufficient skills in several disciplines or techniques to autonomously apply without the need for material guidance or revision by others; and Sufficient skills in at least one discipline or technique to be an authoritative source of guidance and support for the team, and to be able to solve problems of a high technical complexity in this domain Strong problem-solving skills, including ability to apply a systematic problem-solving approach Solid interpersonal skills, as the role will need to work in a cross-functional team with both other analysts and specialists from non-analytics disciplines Very strong client and stakeholder management skills Ability to autonomously carry out work following analytics best practice as defined at Quantium for the relevant types of tools or techniques, suggesting improvements where appropriate Ability to motivate peers to follow analytics best practice as defined at Quantium, by positively presenting the benefits and importance of these ways of working Commercial acumen to understand business needs and the commercial impacts of different analytics solutions or approaches Attention to detail Drive for continuous improvement

As a Systems Data Officer based in London on a 9-Month Fixed Term Contract, you will play a crucial role in supporting data operations. If you are an individual who is inquisitive, analytical, and detail-oriented and find joy in working with data and solving problems, this position is tailored for you. Your primary responsibilities will include cleaning, validating, and preparing data for upload into the new internal system, managing data transfers to ensure accuracy and integrity, collaborating with teams to understand data requirements and address discrepancies, supporting process improvements, troubleshooting system issues, and effectively communicating with stakeholders to facilitate smooth data integration. To excel in this role, you should possess a degree in Mathematics, Physics, or a related field, along with strong communication skills enabling you to collaborate effectively with diverse teams. An analytical mindset with a meticulous attention to detail and data accuracy is imperative, coupled with a comfort level in working with large datasets and tackling problem-solving challenges. Being proactive, eager to learn, and open to involvement in system enhancements are also essential traits for success in this position. This opportunity presents an exciting chance to contribute to a significant system upgrade within a dynamic environment. If you thrive in data-driven roles and thrive in a collaborative work setting, we are eager to hear from you and welcome your application.,

• Day to day entries & data preparation on MS Excel • Inventory Management • Office Management & upkeep • Procurement of office supplies • E-mail writing • Good Communication in English Perks and benefits Expenses reimbursed on actuals. Health Insurance.

You are an experienced CRM Analytics Lead responsible for guiding and managing CRM Analytics (CRMA) projects. Your expertise lies in Salesforce CRM Analytics (formerly known as Wave/Einstein Analytics) with a deep understanding of dashboard creation, data manipulation, and SAQL. Your role involves leading discussions with stakeholders, designing and implementing CRMA solutions, and providing consultative guidance to ensure alignment with Salesforce and industry best practices. Additionally, you will mentor junior team members and ensure the delivery of high-quality analytics solutions. Your key responsibilities include: Business Requirements and Stakeholder Management: - Lead discussions with customer stakeholders to gather and groom business requirements related to CRM Analytics. - Collaborate with Technical Product Owners (TPOs) and Solution Architects (SAs) to collect necessary information for delivering CRMA user stories. Dashboard Development and Iteration: - Design and build dashboards in Salesforce CRM Analytics, ensuring they meet business requirements and industry standards. - Demo dashboards to business stakeholders, collect feedback, and iterate on the design and functionality to achieve the desired outcome. Technical and Architectural Leadership: - Lead the design and implementation of the technical and architectural aspects of CRMA solutions to ensure alignment with Salesforce and industry best practices. Guidance and Team Support: - Provide consultative guidance to the CRMA team on solution and delivery options. - Address specific business and technical questions from the team, ensuring clarity and direction. Data Management and SAQL Expertise: - Build Dataflow/Recipe for data preparation and perform configuration or coding of dashboards within the Salesforce Analytics platform. - Utilize SAQL effectively for data extraction, manipulation, and validation. Mentorship and Team Development: - Mentor and coach junior team members, providing guidance and support to help them grow in their roles. Qualifications: - Bachelor's degree in Computer Science, Information Systems, Business, or a related field. - Extensive experience with Salesforce CRM Analytics, including dashboard creation and SAQL proficiency. - Experience with Business Intelligence tools like Tableau CRM is an added advantage. - Strong communication skills and experience in leading and mentoring junior team members. Preferred Skills: - Salesforce certifications related to CRM Analytics. - Experience with Agile development methodologies, strong problem-solving skills, and attention to detail. - Ability to work independently and as part of a team.,

7+ years of experience in machine learning and data science Extensive experience with Amazon SageMaker, including: Model development and testing (3+ years) Model deployment (3+ years) Model monitoring (2+ years) Key Responsibilities: Develop and test machine learning models using SageMaker, leveraging built-in algorithms and custom frameworks. Deploy models to production using SageMaker endpoints, batch transform, and multi-model endpoints. Implement continuous monitoring of deployed models using SageMaker Model Monitor. Conduct A/B testing and shadow testing for new model versions. Optimize model performance and cost-efficiency using SageMaker features like Spot Training and automated hyperparameter tuning. Collaborate with cross-functional teams to integrate ML models into production applications. Required Skills: Proficiency in Python and popular ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Strong understanding of ML workflows, from data preparation to model deployment Experience with AWS services related to ML pipelines (e.g., S3, CloudWatch, Lambda) Familiarity with SageMaker Studio and SageMaker notebooks Knowledge of best practices in MLOps and model governance Preferred Qualifications: Experience with SageMaker features such as Autopilot, Feature Store, and Pipelines Familiarity with containerization and Docker Understanding of distributed computing and large-scale data processing Experience with real-time and batch inference scenarios AWS certifications related to machine learning or data science Key Responsibilities: Design and architect end-to-end MDM solutions using the Reltio platform, focusing on banking or Customer 360 use cases. Collaborate with cross-functional teams to align MDM solutions with broader organizational objectives. Provide technical leadership in Reltio technologies, standard methodologies, and data governance practices. Develop and optimize customer relationship profiles using Reltio's multi-model architecture. Required Qualifications: Reltio certification as a Solution Architect. 8+ years of experience in large-scale program execution, with at least 3 years leading Customer 360 or similar enterprise-wide initiatives. Strong understanding of the banking domain or extensive Customer 360 experience. Expertise in data modeling, data quality management, and data governance. Proficiency in cloud platforms (AWS, Azure, Google Cloud) for hosting MDM solutions. Experience with ETL concepts, data integration frameworks, and workflow automation. Preferred Skills: Familiarity with other MDM platforms. Understanding of regulatory requirements in the banking sector. Key Competencies: Strong problem-solving and analytical skills. Excellent communication and stakeholder management abilities. Proven track record in delivering complex MDM projects. Ability to translate business requirements into technical solutions.

Educational Bachelor of Engineering Service Line Quality Responsibilities Data collection, profiling, EDA & data preparation AI Model development, tuning & validation Visualization tools (e.g., PowerBI, tableau) Present findings to business users & project management teams Propose ML based solution approaches and estimates for new use cases Contribute to AI based modules in Infosys solutions development Explore new advances in AI continuously and execute PoCs Mentoringguide other team members ML algorithms AI domainsNLP, speech, computer vision Supervised, Unsupervised, Reinforcement learning Tools for data analysis, auto ML, model deployment and scaling Knowledge of datasets ProgrammingPython Databases Knowledge of cloud platforms Azure/AWS/GCP. Preferred Skills: Technology-Machine Learning-AI/ML Solution Architecture and Design

Entity :- Accenture Strategy & Consulting Team :- Global Network Data & AI Practice :- Supply Chian Analytics Title :- Ind & Func AI Decision Science Consultant Job location :- Bangalore/Gurgaon/Hyderabad/ Mumbai Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways.Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. 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: Kolkata, KDC1A 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

Role & responsibilities Handle Recruitment process and collecting documents from the candidate Working on Naukri for sourcing the profiles Guiding the candidates to complete the offer acceptance and on boarding Preferred candidate profile Any Post Graduate with MBA is first priority

Position Summary - As a member of the team within the Consulting team, position will be responsible use your functional expertise in areas such as total rewards or talent management, while contributing to broader HR programs. Incumbent will need to partner with senior reward specialists in the team to deliver business driven total reward initiative across multiple industries across Middle East from India base. The position will be required to travel extensively to Middle East for client solution delivery. Key Responsibilities - Client Responsibilities Participate and help engagement managers to lead complex total rewards projects, working effectively as team member, sharing responsibility, providing support, maintaining communication; Work in team to implement regional Total Reward Programs such as; base compensation benchmarking and salary structuring, variable pay plans, performance based pay, recognition programs, benefits programs, retirement plans, workforce and sales force effectiveness programs to provide support in terms of designing solution framework, analysis and designing ; Deep understanding of data management requirements and data preparation. Is aware of data reporting formats and guidelines; Will need to work in a dynamic and challenging environment coordinating robust implementation programs for reward initiatives in terms of communication, designing training and simulation tools and programs; Assist in designing reward simulation and implementation tools and systems; Has the ability to interpret plan designs into viable project delivery and implementable alternatives; Conduct research and keep up to date with global and regional compensation, benefit and reward trends, compliance requirements and reporting requirements; Ability to understand and conceptualize client issues in meaningful and impactful scope of work and assist in design our solutions across the scope of work to develop meaningful proposals; Build strong internal and external relationship with Protiviti team of other service lines and globally. Desired Profile: 2-5 years of consulting experience; Consulting background and Big4 OR HC/Boutique consulting experience will be preferred; Willing to travel is must.

Role & responsibilities Coordinating with the sales team by managing schedules, filing important documents, and communicating relevant information. Responding to complaints from customers and giving sales support when requested. Store and sort financial and non-financial data in electronic form and present reports. Processing of all sales orders with accuracy and within given timeliness. Inform clients of unforeseen delays or problems. Supporting the sales team in attaining sales targets by calling prospects and getting appointments. Follow up & coordinate with the HO/plant team on material dispatch to reduce the lead time on delivery. Preparing monthly, weekly, or daily sales reports. Act as a primary customer resource for calls, e-mails, and voice mails when a sales team member is out of the office. Gather and document all incoming client requests and incident information in service tickets. Efficiently manage the client communication throughout the service ticket lifecycle Support Sales team on payment collection as per the PO terms. Qualifications, Role Specific Knowledge and Experience Any Bachelor Degree. Relevant work experience of 1 - 5years Should have an experience in coordination & customer grievance handling. Highly proficient in using MS-Office applications like excel, word and power-point and enterprise application software Excellent communication and presentation skills

Job Title Data Scientist Predictive Analytics & Machine-Learning Solutions Location : Business Unit: Business Intelligence Why this role exists Fusion Business Solutions (P) Ltd. helps clients turn operational data into competitive advantage. As a Data Scientist you will design and deliver predictive models, machine-learning pipelines and data-driven insights that accelerate decision-making for both internal stakeholders and external customers. What you will do: Translate high-level business goals into data questions and measurable success criteria. Acquire, clean and combine large structured and unstructured datasets; document assumptions and data-quality checks. Explore data to uncover patterns, drivers and anomalies; present findings through clear visual stories and executive briefs. Build, validate and tune forecasting, classification, regression, recommendation and clustering models with modern open-source libraries. Package models for production with reproducible code, versioned artefacts and automated tests; deploy via REST APIs, batch jobs or embedded BI dashboards. Monitor accuracy, drift and usage; schedule retraining or rollback when thresholds are breached. Collaborate with data engineers on pipeline design and with BI developers on dashboard integration. Advise on A/B-test design and causal-impact analysis. Coach analysts and junior team members in statistical thinking, coding best practices and responsible AI principles. Technology you are likely to touch Python (pandas, scikit-learn, PyTorch/TensorFlow) SQL Spark or PySpark Docker, MLflow (or similar) Airflow/DBT GitHub Actions Power BI (or equivalent) At least one major cloud environment (AWS, GCP or Azure) Familiarity with generative-AI frameworks, NLP libraries or computer-vision toolkits is a plus. Must-have qualifications Three or more years of hands-on experience building and deploying predictive-analytics or machine-learning solutions that delivered measurable business value. Strong SQL skills and experience modelling datasets larger than 100 GB. Proficiency in Python (or R) for data analysis, modelling and automation. Practical understanding of model lifecycle management—including experiment tracking, version control, containerisation and CI/CD. Ability to explain technical concepts to non-technical audiences and to write concise technical documentation. Good-to-have extras Insurance domain exposure —experience working with policy, claims, premium or commission data; familiarity with underwriting or fraud-detection use cases; understanding of regulatory frameworks such as HIPAA, NAIC or IFRS 17. Experience in other FBSPL focus areas—accounting/BFSI workflows (general ledger, AP/AR), e-commerce fulfilment, RPA-driven back-office processes, or data-annotation quality control. Cloud-native ML services (AWS SageMaker, Google Vertex AI, Azure ML) and MLOps best practices. Time-series forecasting, optimisation algorithms or deep-learning frameworks. Certifications such as AWS Machine Learning Specialty, Microsoft DP-100, UiPath RPA Developer, or equivalent.

: Job TitleEBA Stress Test Net Interest Income - Regulatory Reporting Corporate TitleVice-President LocationMumbai, India Role Description This role is responsible for supporting the end-to-end execution and regulatory reporting of the European Banking Authority (EBA) stress testing exercises for the net interest income , ensuring compliance with EBA guidelines and alignment with internal risk and finance frameworks. The candidate will play a key role in data preparation, validation, template population, and submission of regulatory deliverables, while also contributing to process improvements and regulatory change initiatives. What well offer you , 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Assist the lead in designing an approach, developing the process, and execution of EBA stress testing of net interest Income for the DB group. Interpret and implement EBA guidelines and methodologies, ensuring alignment with internal risk frameworks. Collaborate with Finance, Risk, and Business teams to gather, validate, and analyze NII data inputs. Understand and assist in building models and assumptions for projecting NII under baseline and adverse scenarios. Actively participate in data governance frameworksandquality assurance best practices. Prepare and present detailed reports and insights to senior management and regulatory bodies. Drive continuous improvement in stress testing processes, automation, and governance. Actively participate and assist in leading change agenda, including UAT etc. Monitor regulatory developments and assess their impact on stress testing requirements. Your skills and experience Basic understanding of IFRS 9 , particularly in the classification and measurement of financial instruments and hedge accounting. Proficient in handling big data , with experience managing large and complex datasets across multiple systems (e.g., finance, risk, treasury). Advanced knowledge of core banking products , including loans, deposits, repos, and reverse repos. Strong understanding of interest rate derivatives , such as swaps, caps/floors, and their impact on financial performance. Proficiency in programming and ETL tools , including Python, Alteryx, and Tableau, is preferred. Prior exposure to EBA stress testing , including familiarity with EBA templates, scenario assumptions, and regulatory expectations, is an advantage. General understanding of macroeconomic indicators , such as GDP, inflation, unemployment, and interest rates. Competent in statistical analysis techniques , including normal distribution, standard deviation, correlation, and regression. Solid mathematical foundation , particularly in linear algebra and financial mathematics. 10+ years of experience in regulatory reporting or data analytics, preferably from BITS/IIT with additional professional qualifications such as CFA or FRM or regulatory reporting consulting background from Big 4s. How well support you . . . .

Immediate Job Openings on #SAP Data Intelligence_ Pan India_ Contract #Skill: SAP Data Intelligence #Location: Pan India #Notice Period: Immediate #Employment Type: Contract Skill Mandatory SAP Data Intelligence with data transfer to SAP and Non SAP systems Yes Able to manage data pipelines for Integration, data preparation, processing and orchestration Yes SAP system S/4, SLT, ABAP, CDC Views Good To have.

1. Strong experience in data preparation/data wrangling for data on acquired/import connections. 2. Strong experience in data analyzer. 3. Proficient in SAP SAC functionalities, including data integration, data modeling, story creation, and advanced analytics. 4. Expertise / Knowledge of SAC predictive capabilities, augmented analytics, forecasting, Smart Assist, Smart Predict, Smart Discovery, creating story canvasses, advanced story designing, blending data, formulas, cross calculations, input controls, linked analysis. 5. Understanding of data analytics concepts and best practices and Creation of SAC planning masks, workflows, planning calendars etc. 6. Solid understanding in Filters ; Static and Dynamic . 7. Strong experience in creating geo maps using geo enrichment feature for geospatial analysis and creating Planning models in SAC. 8. Design and implementation of authorizations/roles 9. Create functional designs for reporting to enable developers to build them in SAP BW4HANA/SAC. 10.Around 5-7 Years of experience in Supporting/Development of SAC reports.

Sr Power BI Developer1 Power BI Sr Developer Overall Experience 5+ years of experience in MSBI Product suite (Power BI and DAX) Experience of 5+ years in data preparation. BI projects to understand business requirements in BI context and understand data model to transform raw data into meaningful insights in Power BI and has worked in SSIS Experience in requirement analysis, design and prototypingExperience in building enterprise models using Power BI desktop.Strong understanding of Power BI ApplicationDevelop data models, OLAP cubes, and reports utilizing Power BI applying best practices to the development lifecycle. Documentation of source-to-target mappings, data dictionaries, and database design. Identify areas of improvement to optimize data flows.Good Exposure to DAX queries in Power BI desktop.Creation of Power BI dashboard , report , KPI scorecard and transforming the manual reports, support Power BI dashboard deployment.Strong exposure to Visualization , transformation, data analysis and formatting skills.Connecting to data sources, importing data and transforming data for Business Intelligence.Experience in publishing and scheduling Power BI reportsArchitect and develop data models, OLAP cubes, and reports utilizing Power BI applying best practices to the development lifecycle.Documentation of source-to-target mappings, data dictionaries, and database design.Identify areas of improvement to optimize data flows.Installation and Administration of Microsoft SQL Server.Support business development efforts (proposals and client presentations).Knowledge on EBS Modules like Finance, HCM, Procurement will be an added advantage. Ability to thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success.Excellent leadership and interpersonal skills.Eager to contribute in a team-oriented environment.Strong prioritization and multi-tasking skills with a track record of meeting deadlines.Ability to be creative and analytical in a problem-solving environment.Effective verbal and written communication skills.Adaptable to new environments, people, technologies, and processesAbility to manage ambiguity and solve undefined problems

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 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) 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). 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: 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