23806 Data Analysis Jobs

We are seeking a motivated and dynamic Circle Incharge to oversee our operations in the designated area. The ideal candidate will be responsible for leading a team, ensuring operational efficiency, and driving performance to meet company objectives. This role requires strong leadership abilities, excellent communication skills, and a keen analytical mindset. Responsibilities Lead and manage a team of field executives to achieve operational targets. Ensure adherence to company policies and procedures in daily operations. Conduct regular training and performance evaluations for team members. Monitor and analyze team performance metrics to identify areas for improvement. Coordinate with other departments to ensure smooth workflow and effective communication. Skills and Qualifications Bachelor's degree in Business Administration or related field. Strong leadership and team management skills. Excellent communication and interpersonal skills. Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint). Ability to analyze data and make informed decisions. Problem-solving skills and a proactive approach to challenges.

Role & responsibilities: Supervising dissemination of actionable emanating from new guidelines and ensuring implementation by the respective Business units of the Bank Strict monitoring through the systems/ tools available in the department of various issues relating to Digital Journeys Approval of any new/ review of existing Policy/ Internal circulars/ processes upon ensuring all regulatory/internal guidelines have been complied with. Handling of Advisory related to Compliance with Regulatory Guidelines on Digital Lending and other related guidelines. Connecting with regulators/ peer banks to seek clarification/ benchmark process followed in the bank (wherever required) Testing of regulations / processes/ controls when required. Providing relevant inputs for preparation of presentations / dashboards for senior management Co-ordinate with the respective stakeholder and ensure that proper controls are put in place to mitigate the compliance risk, Vetting of Bank's Policies, internal circulars, manuals, validation of forms from the compliance perspective, validating internal controls with various Codes (BCSBI, etc) Vetting of responses / compliance to be submitted to regulators /agencies provided by the business departments / stakeholders. Monitoring compliance risk using various tools (e.g. Key Compliance indicators, etc.) Testing Processes related to Observations/Regulatory line items of RBI and closure of Testing reports. Monitoring and tracking of Regulatory observations emanating from IAD/ CTG/ other sources. Approval and review of PMC/CMC notes in line with relevant applicable regulations /internal policies. Assisting RBI Compliance Team for onsite inspection (wherever required) Preferred candidate profile Understanding of basic processes involved in Digital Lending and product journeys, Ability to apply basic concepts to practical scenarios/ issues, Understanding of regulations/ guidelines Experience in handling Compliance related to Digital Lending and products Good Interpersonal and communication skills Excellent spoken & written (Drafting) English skills Proficiency & command in Excel, Word & PPT etc.

Primary Responsibilities Engage with walk-in and prospective customersgreeting them, understanding their preferences, and providing tailored vehicle recommendations. Present and demonstrate vehicle features, facilitate test drives, and explain financing and warranty options. Negotiate pricing, terms, and additional offer components, including accessories, insurance, and finance packages. Maintain a robust pipelinequalify leads, follow up proactively, and track all customer interactions in a CRM system. Prepare and process sales documentation, contracts, and manage post-sale customer follow-ups, fostering satisfaction and retention. Meet or exceed monthly, quarterly, and annual sales targets. Excellent communication, interpersonal, and negotiation skills; strong customer service orientation. In-depth product knowledge (models, features, pricing) and the ability to explain complex info simply. Comfort working under sales pressure and managing both in-person and phone consultations. Computer literate, especially with CRM systems and basic office software. Valid driver's license (often required) and, in some regions, a clean driving record.

The Data Analyst who can work closely with SME s, operations and management on analytics. The candidate would be a business aware self-starter responsible for enabling data driven decisions by setting up a reporting framework for daily/weekly metrics, helping with ad-hoc analysis and any fundamental research exercise. This job is well-suited to people who have problem-solving skills, work well as part of a team, and can manage their time effectively to meet deadlines and keep to projected schedules. Primary Responsibilities Have passion for sourcing, manipulating and visualizing data Apply direction and confidence to design qualitative and quantitative analysis Partner with key members from technical and non-technical teams to build and enable high quality decisions Prioritize and manage multiple priorities simultaneously Other Skills Required Critical thinking Ability to work independently and as part of a team Excellent written and verbal communication skills. Ability to communicate complex analysis in a clear, precise, and actionable manner. Ability to handle several deadlines Ability to partake in technical discussions Proactive Research-oriented Capacity to work with minimal supervision Capacity to prioritize tasks Excellent time management skills Meticulous Excellent problem-solving skills Ability to research and troubleshoot technical problems Ability to challenge status-quo through identification of key business requirements and addressing through innovative data-visualization solutions Ability to effectively interact with, present information to, and respond to questions from all levels of the organization and partners Essential Qualifications and Experience: Overall 3-6 years of professional experience Minimum of 3 years of total working experience as a Data Analyst is required Very Strong in Python - mandate Minimum of 2 years Statistical programming experience Databricks Hands On SQL Knowledge and Hands-on experience is a mandate Proficiency in using numpy, pandas, Sklearn and other analytical packages Good understanding on Statistics, mathematics and with a Critical thinking mindset Ability to utilize visualization the analytics and data using Tableau Excellent business communication/(verbal and written) and interpersonal skills Desire to learn and adapt to new technologies

Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystemcomprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 marketsto create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster. Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets. About Job Job Description Intern will be working closely with the project team building AI-ML solutions. Will be involved in various model development activities, performing Data Analysis, creating protypes and delving into research papers. Projects will be in the area of Machine learning involving linear and non-linear models for forecasting, Natural Language Processing, Deep learning, Computer vision, Reinforcement learning depending on the project's business use case. Key Responsibilities Design, build and evaluate Machine Learning systems Perform experiments and statistical analyses to draw conclusions and take modeling decisions. Study, implement and extend state of the art systems Ideate and formulate a pragmatic blueprint for enterprise AI platform solution and subsequent development using Deep learning with a cross-functional team of talented engineers, Motivated self-learner Collaborate well with engineers, researchers, and data implementation specialists to design and create advanced, elegant and efficient AI based solutions for business problems Implement best practices in coding, collaborating and maintaining code repositories Maintain quality and ensure responsiveness of AI platforms Work in an agile environment based on the defined sprint backlogs to deliver the assigned work in the stipulated timelines. Adhere to software development best practices and coding standards in all work products and participate in the refinement of those practices and standards to improve quality and productivity Work collaboratively with a cross functional team of engineers under the guidance of an AI platform lead Required skills Practical Machine Learning experience as demonstrated by earlier works. Knowledge of and ability to use tools from theoretical and practical aspects of computer science. This includes, but is not limited to, probability, statistics, learning theory, algorithms, deep learning, software architecture, programming languages such as Python, R, etc. Have good prototyping skills and an ability to wrangle with structured and unstructured data. Strong coder in Python Programming, Tensor flow, Keras, Theano, and other relevant Python Libraries for AI & Machine Learning (Scikit learn, NLTK, Scipy, etc.). Strong ability to perform EDA, manipulate data using Pandas/Numpy and other python libraries, should be able to support all data munging and cleansing activities. Adept at object-oriented programming in Python Git portfolios and blogs are helpful as they let us better evaluate your work.

Any Graduate/ Post-Graduate who holds experience into data analytics domain. 6+ years of experience in data analysis, preferably within a BPM, or voice process environment. Proven experience in analyzing operational metrics. Proficiency in data analytics tools and platforms such as SQL , Excel . Experience with scientific analytics tools like Python , R , or SAS for statistical analysis and model development. Competent with data visualization tools such as Tableau or Power BI . Knowledge of statistical techniques, including regression analysis, hypothesis testing, clustering, and machine learning. Strong analytical thinking and problem-solving skills. Excellent organizational skills, attention to detail, and ability to manage multiple tasks simultaneously.

Conduct Financial Audits: Examine financial statements and records to ensure accuracy and compliance with regulations. Verify the accuracy of financial data and identify discrepancies. Evaluate Internal Controls: Assess the effectiveness of internal controls and risk management processes. Recommend improvements to enhance operational efficiency and reduce risks. Draft exceptions for Audit report Document audit findings and prepare detailed reports for management. Highlight areas of concern and provide actionable recommendations Data Analysis: Analyze financial data to identify trends, patterns, and anomalies. Use analytical tools and techniques to support audit conclusions. Collaboration: Work closely with other departments to gather necessary information and support audit activities. Communicate findings and recommendations to stakeholders effectively. Continuous Improvement: Participate in ongoing training and professional development to stay current with auditing standards and practices. Implement best practices and innovative approaches to auditing. Special Projects: Assist with special projects, such as fraud investigations or system implementations, as needed. Provide expertise and support for ad-hoc financial reviews.

This role is for a Social Media Marketing Consultant Team Lead to spearhead online marketing initiatives with a strong focus on digital analytics. The ideal candidate will be an experienced professional with a deep understanding of the digital marketing industry, capable of leading a team, analyzing data, and driving strategy. Responsibilities Manage and lead a team of social media marketing professionals. Develop and execute online marketing strategies with a strong focus on digital analytics. Utilize data analysis and visualization capabilities to inform strategy and measure campaign performance. Oversee all aspects of social media and digital marketing campaigns, from planning to execution. Stay updated on the latest online marketing trends and best practices. Skills In-depth knowledge of the online marketing industry with a strong inclination toward digital analytics . A strong background in data analysis and visualization capabilities . Proven ability to lead a team and mentor junior professionals. Strong communication and strategic thinking skills. Qualifications An MBA or PGDM in Marketing, International Business, or International Marketing. Experience working in the social media/digital domain with a focus on data analysis. Immediate availability is preferred.

We are seeking a Performance Marketing Professional to own end-to-end lead generation across various performance marketing channels. You'll be responsible for creating and optimizing ad creatives, managing campaigns, and analyzing key metrics to maximize ROI . This role requires 2-5 years of experience in performance marketing, PPC , and SEO , along with hands-on experience with Meta Ads and Google Ads . Roles & Responsibilities: Lead Generation & Campaign Management : Own end-to-end lead generation across performance marketing channels such as Meta, Google , and YouTube . Set up and manage ad campaigns, including budget allocation and A/B testing . Creative Optimization : Create and optimize ad creatives, copy, and landing pages to maximize ROI (Return on Investment) . Data Analysis & Reporting : Track, analyze, and report key metrics, using data insights to improve performance. SEO & Organic Growth : Improve SEO (Search Engine Optimization) strategy, including on-page and off-page optimizations, and content planning for organic growth. Cross-Functional Collaboration : Work closely with design, content, and product teams to enhance conversion rates. Skills Required 2-5 years of experience in performance marketing, PPC (Pay-Per-Click) , and SEO . Strong hands-on experience with Meta Ads and Google Ads , and a solid understanding of keyword strategy. Proven track record of running high- ROI campaigns and lead-generation funnels. Strong analytical skills with expertise in Google Analytics, GA4 , and various reporting tools. Ability to write compelling ad copy and collaborate effectively with creatives. A passion for music or education is a plus.

Job description Come join our high performing team consisting of PhDs, machine vision and algorithm engineers building the next generation of AI enabled semiconductor inspection equipment. The successful candidate will grow their career in the LS-SWIFT algorithms group in Chennai, India engaged in the following activities. Collaborate with KLA s AI and HPC centers of excellence Further product roadmaps through applied R&D Drive innovation through hackathons and engineering conferences Further KLA s technical IP portfolio through generating patent filings Minimum Qualifications Doctorate (Academic) Degree and 0 years related work experience; Masters Level Degree and related work experience of 3 years; Bachelors Level Degree and related work experience of 5 years

Career Area: Engineering Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, youre joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We dont just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Role Definition Turning product data into insights to support new product development, continuous product improvement, productivity enhancements, and condition monitoring. Responsibilities Work closely with business stakeholders to understand their goals determine how Data analytics can be used to achieve those goals. Should be able to design data modelling processes, create algorithms develop predictive models to help analyze the data Develop prediction tools which can help Caterpillar customers to gain efficiency and plan the forecast better Develop innovative solutions which enables machine learning and prediction. Also , Work with Cross - functional team to come up with innovative solutions Act as a Technical lead in the field of Analytics and Machine Learning. Degree Requirement Experience : 6-9 years of experience in developing Analytics tool for Data prediction developing machine learning algorithm Education : B.Tech/M.Tech or equivalent professional qualification in Statistics, Machine Learning Required skills : Strong knowledge in python, SQL Fully skilled in Visualization tools such as Power Bi , Tableau with ability to utilize it as Automation tool Should be able to develop Data Analysis Algorithm Should have experience in developing prediction formulas for non-linear data. Self - starter passionate for Data analysis Can make use of statistical tools for data prediction. Regression analysis (Linear/Non-linear) Should be able to present the data in a meaningful form Passion for Innovation and Technology Self-Starter, Should be able to present Ideas to stakeholders Desired Skill Good understanding of Six Sigma tools Can develop Matlab models on the deep learning toolbox Should be able to translate Data requirement into analytics Positive outlook, strong work ethic, willingness to learn and grow Excellent communication skills Skill Descriptors Domain Knowledge: Knowledge of a specific domain, its current trends, directions, and regulatory considerations; ability to apply domain-specific knowledge to relevant situations. Level Basic Understanding: Identifies key concepts and features of the domain. Describes key products and services associated with the domain. Identifies major initiatives, key issues and current trends in the domain. Describes where and how to obtain up-to-date domain-specific information. Technical Analysis: Knowledge of the concepts, methodologies, and activities in technical analysis; ability to forecast the direction of technical landscape using technical indicators and take collective actions. Level Basic Understanding: Lists commonly used technical analysis tools and technologies. Documents key technical analysis procedures and policies. Describes basic concepts and major activities associated with technical analysis. Identifies the sources of information to extract the required data and technical indicators. Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. Level Working Knowledge: Approaches a situation or problem by defining the problem or issue and determining its significance. Makes a systematic comparison of two or more alternative solutions. Uses flow charts, Pareto charts, fish diagrams, etc. to disclose meaningful data patterns. Identifies the major forces, events and people impacting and impacted by the situation at hand. Uses logic and intuition to make inferences about the meaning of the data and arrive at conclusions. Decision Making and Critical Thinking: Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment. Level Basic Understanding: Explains characteristics and steps in an effective decision-making process. Identifies issues and communicates with others when a decision needs to be made. Names decision makers in own environment and cites examples of past decisions. Describes types of decisions incumbent may and may not make in own job or function. Effective Communications: Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors. Level Working Knowledge: Delivers helpful feedback that focuses on behaviors without offending the recipient. Listens to feedback without defensiveness and uses it for own communication effectiveness. Makes oral presentations and writes reports needed for own work. Avoids technical jargon when inappropriate. Looks for and considers non-verbal cues from individuals and groups. Technical Excellence: Knowledge of a given technology and various application methods; ability to develop and provide solutions to significant technical challenges. Level Working Knowledge: Provides effective technical solutions to routine functional challenges via sound technical competence, effectively examining implications of events and issues. Effectively performs the technical job aspects, continuously building knowledge and keeping up-to-date on technical and procedural job components. Applies technical operating and project standards based on achieving excellence in delivered products, technologies and services. Applies current procedures and technologies to help resolve technical issues in ones general area of technical competence. Helps others solve technical or procedural problems or issues. Software Development: Knowledge of software development tools and activities; ability to produce software products or systems in line with product requirements. Level Working Knowledge: Describes common tools for component-based, object-oriented development. Describes the objectives, activities and results of unit testing. Has developed programs in a specific language and for a specific platform. Interprets functional and technical blueprints; participates in structuring technical components. Participates in technical and code reviews. Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project. Level Working Knowledge: Follows policies, practices and standards for determining functional and informational requirements. Confirms deliverables associated with requirements analysis. Communicates with customers and users to elicit and gather client requirements. Participates in the preparation of detailed documentation and requirements. Utilizes specific organizational methods, tools and techniques for requirements analysis. Posting Dates: March 19, 2025 - April 1, 2025Caterpillar is an Equal Opportunity Employer (EEO).

Role Definition Performs analytical tasks and initiatives on huge amount of data to support data-driven business decision and development. Responsibilities Direct the data gathering, data mining, data processing and data modelling for large datasets including the processing, cleansing, and verification of datasets used for analysis. . Lead requirement definition and scope of data analyses, presenting and reporting possible business insights to management using data visualization technologies. Conduct research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses. Use knowledge of statistical approaches, data management techniques, and/or related digital technologies to complete projects. Conduct technical analysis of new requests from internal customers to gather requirements, analyses, and convert into technical requirements for optimal coding structure for technical development. Research and apply new methods and digital technologies to exceed customer expectations. Background/Experience : Bachelors degree with minimum of 2+ years experience in Data Analytics. The applicant must have employment experience with Power BI, Tableau , Power Automate, Power App, snowflake, SQL, Python & Data Visualization. Ability to clearly communicate vision and complex technical ideas, data science initiatives and insights to all levels of users within the organization Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyse and record required business functionality and non-functionality requirements to ensure the success of a system or software development project. Skill Descriptors Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions. Level Basic Understanding: Identifies and describes basic statistical measures. Summarizes the underlying uncertainties associated with statistical analysis and reporting. Describes the relationship between statistical measurement and continuous improvement. Cites examples and meaning of statistics used in own area. Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision. Level Working Knowledge: Accurately gauges the impact and cost of errors, omissions, and oversights. Utilizes specific approaches and tools for checking and cross-checking outputs. Processes limited amounts of detailed information with good accuracy. Learns from mistakes and applies lessons learned. Develops and uses checklists to ensure that information goes out error-free. Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. Level Basic Understanding: Names specific tools or techniques that can be used to support the analytical thinking process. Describes specific software applications or products used for business analytics. Gives examples of how analytical thinking has been used to resolve problems. Helps others research and learn more about business analytics tools and applications. Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. Level Basic Understanding: Explains the definition and objectives of machine learning. Describes the algorithms and logic of machine learning. Distinguishes between machine learning and deep learning. Gives several examples on the implementation of machine learning. Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages. Level Basic Understanding: Describes the basic concepts of programming and program construction activities. Uses programming documentation including program specifications in order to maintain standards. Describes the capabilities of major programming languages. Identifies locally relevant programming tools. Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use. Level Basic Understanding: Identifies query facilities that are available in one's own environment. Explains organization's standards, procedures and practices for building queries. Describes the functions and features of query and database access tools. Identifies the key benefits and drawbacks of query languages. Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project. Level Working Knowledge: Follows policies, practices and standards for determining functional and informational requirements. Confirms deliverables associated with requirements analysis. Communicates with customers and users to elicit and gather client requirements. Participates in the preparation of detailed documentation and requirements. Utilizes specific organizational methods, tools and techniques for requirements analysis.

Career Area: Technology, Digital and Data Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, youre joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We dont just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Basic Qualifications: BS or MS degree in a quantitative discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, finance, or other related degree Overall experience of 7+ years of professional experience 5+ years of proven experience as a Data scientist in designing and implementing data processing and machine learning frameworks. Recent 4+ years of experience with Python, SQL Develop and implement advanced statistical models, machine learning algorithms, and AI techniques to solve complex business problems. Perform data analysis, data cleaning, and feature engineering to prepare data for modeling. Evaluate and select appropriate algorithms and models for specific use cases. Top candidates will also have: MS degree in a quantitative discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, finance, or other related degree Proven experience in some of the following: Compiling and standardizing diverse, non-sanitized datasets. Working with structured and unstructured data. Developing classification and regression models. Unsupervised learning algorithms. Experience integrating analytical models with existing data pipelines. Proven experience as a Senior Data scientist for a Data science team. Hands-on experience in Agents, Large Language Models, Small Language Models, Retrieval Augmented Generation, Generative AI, Natural Language Processing, and Deep Learning Proven experience with AWS full-stack development and services such as Athena, Glue, DynamoDB, EC2, EMR, RDS, S3, SageMaker or Equivalent Experience with Snowflake data warehouse Experience visualizing data using BI software such as Tableau and MS Power BI Good organizational skills and an aptitude for complex analytical and detailed work; ability to prioritize among multiple concurrent projects to meet deadlines promptly. Ability to consider a broad range of issues or factors, grasp complexities and perceive relationships among problems or issues, and use accurate logic in analysis Exceptional verbal and written communication skills and ability to engage effectively at all levels of the organization, to both technical and non-technical audiences. Ability to work independently or collaboratively in a complex, rapidly changing, and culturally diverse environment. Ability to learn and comply with company policies and procedures Passion for technology and an eagerness to contribute to a team-orientated environment

Account Reconciliation: Perform timely and accurate reconciliations of bank, payment gateway, and other financial accounts to ensure records are consistent and error-free. Data Analysis : Leverage advanced Excel functions (e.g., VLOOKUP, pivot tables, macros) to analyze financial data, identify discrepancies, and assist with reporting. Tally Expertise : Maintain and update financial records in Tally ERP, ensuring all transactions are recorded and reconciled appropriately. Transaction Review: Regularly review and investigate discrepancies, providing clear explanations and solutions for any variances in accounts. Reporting : Prepare monthly, quarterly, and annual reconciliation reports for management review. Collaboration : Work closely with other teams, including Finance, Accounts Payable/Receivable, and Operations, to resolve any discrepancies or issues. Audit Support: Assist in audit preparation by providing necessary reconciled financial data and supporting documentation. Process Improvement: Suggest improvements for enhancing reconciliation processes and increasing efficiency through automation or new tools. Key Skills & Qualifications: Advanced Excel Skills: Proficient in Excel with strong knowledge of formulas (VLOOKUP, INDEX-MATCH), pivot tables, macros, and data manipulation techniques. Experience with Tally : Strong working knowledge of Tally ERP software, particularly for transactionrecording and reconciliations. Data Analysis: Ability to analyze large data sets, identify trends, and provide actionable insights to resolve issues. Attention to Detail: Strong eye for detail and precision in handling financial data. Accounting Knowledge : Basic understanding of accounting principles, preferably with experience in managing reconciliations and financial reporting. Problem-Solving Skills : Ability to troubleshoot and resolve discrepancies in accounts efficiently. Communication: Strong written and verbal communication skills to interact with internal teams and external stakeholders. Preferred Qualifications: Bachelors degree in Accounting, Finance, or related field. Previous experience in a reconciliation role in a fast-paced environment. Knowledge of other accounting software is a plus.

We are seeking a skilled Investment Analyst to join our team in India. The ideal candidate will have a strong background in financial analysis and investment management, with the ability to assess and make recommendations on investment opportunities. Responsibilities Conducting financial analysis and modeling to evaluate investment opportunities. Assisting in the preparation of investment reports and presentations for clients and stakeholders. Monitoring market trends, economic developments, and industry news to inform investment strategies. Collaborating with senior analysts and portfolio managers on investment strategies and portfolio management. Performing due diligence and risk assessment on potential investments. Skills and Qualifications Bachelor's degree in Finance, Economics, Business Administration, or a related field. 4-10 years of experience in investment analysis, financial modeling, or related roles. Strong analytical skills with a keen attention to detail. Proficiency in financial modeling and valuation techniques. Knowledge of investment products and market trends in India and globally. Excellent communication skills, both verbal and written. Ability to work independently and as part of a team in a fast-paced environment.

The role: Support various types of audits and consulting engagements, including but not limited to process reviews, data analysis, J-SOX activities, operational reviews, and system implementation reviews Prepare quality work papers, or other deliverables timely and professionally to document testing adequately and clearly, support conclusions, communicate findings to Audit lead or in-charge, in accordance with our audit methodology Exercise critical thinking and judgment when evaluating the business impact and significance of audit findings, identifying mitigating controls and other factors to assess the residual risks. Able to complete the allocated J-SOX tasks on time and, making sure the status of testing is progressing. Report any obstacles to audit lead timely. Working on multiple priorities/projects for on-time delivery, proactively providing status of all activities to Internal Audit management and relevant business stakeholders Provide support for Audit Projects, i.e., partner audits/ country audits, and compliance activities. Assist in special assignments by analyzing data sets, interpretation of analysis results etc. Interacts with All team members in the global IA department Business functions and relevant staff External Audit teams (for J-SOX) Various contacts in Internal Controls & Finance Department What you ll bring: Minimum 2-3 years of audit (internal/external) experience or accounting firm consulting/advisory experience is required Bachelors Degree in Accounting, Finance, Business Administration, CA (CPA equivalent) Basic-moderate level understanding of and experience in SOX or J-SOX compliance, including internal control, documentation, and testing Good verbal and written communication skills Ability to build strong relationships across cross-functional teams Be flexible to accommodate working with a global workforce Can adapt quickly to changing work environments, priorities and tight deadlines Analytical, good problem solver and out-of-the box thinker No passport/visa restrictions to travel About us We are a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you. #LI-SA1 Championing diversity, equity, and inclusion Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team. How we look after you We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We are also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We are always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We are proud to say We are an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

The Role Data Management Lead Consultant Workday, SQL, Power BI, Release Management, Python, Problem-Solving, and Decision-Making. Data Maintenance: Perform regular data updates, corrections, and maintenance tasks within the Workday platform covering HCM Module Issue Resolution: Troubleshoot and resolve data-related issues, working closely with functional teams to identify root causes and implement solutions. Data Validation: Conduct data validation checks to ensure compliance with business rules and regulatory requirements, addressing any discrepancies as they arise. User Support: Provide data-related support to Workday users, assisting with data queries, reporting requests, and system navigation. Data Auditing: Assist in conducting data audits to identify inconsistencies, errors, or areas for improvement, and work on corrective actions. Documentation: Maintain thorough documentation of data support processes, issue resolutions, and best practices to ensure knowledge transfer and continuity. Collaboration: Work collaboratively with cross-functional teams, including HR, Finance, and IT, to support data-related needs and ensure alignment with business objectives. Continuous Improvement: Identify opportunities for process improvements in data management practices and contribute to the development of efficient workflows. Qualifications: Experience: 7-8 years of experience in Workday implementation / operations in modules core HCM /Compensation domain knowledge. Expertise in handling data conversion using EIB, worksheets, org chart. Capable of independently debugging and developing solutions regarding data upload , corrections. Experience in handling complex organizations transactional data loads. Technical Skills: o Familiarity with Workday data structures and reporting tools. o Proficient in data analysis tools and troubleshooting techniques. o Knowledge data manipulation, visualization tools is a plus. o Macro , Python , SQL knowledge is a plus. Analytical Skills: Strong analytical and problem-solving skills, with attention to detail and a focus on data accuracy. Communication: Good written and verbal communication skills, with the ability to work effectively with both technical and non-technical stakeholders. About us We are a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you. #LI-SA1 Championing diversity, equity, and inclusion Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team. How we look after you We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We are also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We are always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We are proud to say We are an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

The Role Data Management Lead Consultant Workday, SQL, Power BI, Release Management, Python, Problem-Solving, and Decision-Making. Data Maintenance: Perform regular data updates, corrections, and maintenance tasks within the Workday platform covering HCM Module Issue Resolution: Troubleshoot and resolve data-related issues, working closely with functional teams to identify root causes and implement solutions. Data Validation: Conduct data validation checks to ensure compliance with business rules and regulatory requirements, addressing any discrepancies as they arise. User Support: Provide data-related support to Workday users, assisting with data queries, reporting requests, and system navigation. Data Auditing: Assist in conducting data audits to identify inconsistencies, errors, or areas for improvement, and work on corrective actions. Documentation: Maintain thorough documentation of data support processes, issue resolutions, and best practices to ensure knowledge transfer and continuity. Collaboration: Work collaboratively with cross-functional teams, including HR, Finance, and IT, to support data-related needs and ensure alignment with business objectives. Continuous Improvement: Identify opportunities for process improvements in data management practices and contribute to the development of efficient workflows. Qualifications: Experience: 7-8 years of experience in Workday implementation / operations in modules core HCM /Compensation domain knowledge. Expertise in handling data conversion using EIB, worksheets, org chart. Capable of independently debugging and developing solutions regarding data upload , corrections. Experience in handling complex organizations transactional data loads. Technical Skills : o Familiarity with Workday data structures and reporting tools. o Proficient in data analysis tools and troubleshooting techniques. o Knowledge data manipulation, visualization tools is a plus. o Macro , Python , SQL knowledge is a plus. Analytical Skills : Strong analytical and problem-solving skills, with attention to detail and a focus on data accuracy. Communication: Good written and verbal communication skills, with the ability to work effectively with both technical and non-technical stakeholders. About us We are a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you. #LI-SA1 Championing diversity, equity, and inclusion Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team. How we look after you We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We are also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We are always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We are proud to say We are an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

The Role Data Management Consultant Workday, SQL, Power BI, Release Management, Python, Problem-Solving, and Decision-Making. Data Maintenance: Perform regular data updates, corrections, and maintenance tasks within the Workday platform covering HCM Module Issue Resolution: Troubleshoot and resolve data-related issues, working closely with functional teams to identify root causes and implement solutions. Data Validation: Conduct data validation checks to ensure compliance with business rules and regulatory requirements, addressing any discrepancies as they arise. User Support: Provide data-related support to Workday users, assisting with data queries, reporting requests, and system navigation. Data Auditing: Assist in conducting data audits to identify inconsistencies, errors, or areas for improvement, and work on corrective actions. Documentation: Maintain thorough documentation of data support processes, issue resolutions, and best practices to ensure knowledge transfer and continuity. Collaboration: Work collaboratively with cross-functional teams, including HR, Finance, and IT, to support data-related needs and ensure alignment with business objectives. Continuous Improvement: Identify opportunities for process improvements in data management practices and contribute to the development of efficient workflows. Qualifications: Experience: 1-3 years of experience in Workday implementation / operations in modules core HCM /Compensation domain knowledge. Expertise in handling data conversion using EIB, worksheets, org chart. Capable of independently debugging and developing solutions regarding data upload , corrections. Experience in handling complex organizations transactional data loads. Technical Skills: o Familiarity with Workday data structures and reporting tools. o Proficient in data analysis tools and troubleshooting techniques. o Knowledge data manipulation, visualization tools is a plus. o Macro , Python , SQL knowledge is a plus. Analytical Skills: Strong analytical and problem-solving skills, with attention to detail and a focus on data accuracy. Communication: Good written and verbal communication skills, with the ability to work effectively with both technical and non-technical stakeholders. About us We are a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you. #LI-SA1 Championing diversity, equity, and inclusion Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team. How we look after you We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We are also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We are always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We are proud to say We are an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

We re a leader in cutting-edge innovation, the transformative power of cloud technology, and converged and hyperconverged solutions. Our mission is to empower clients to securely store, manage, and modernize their digital core, unlocking valuable insights and driving data-driven value. This strong, diverse, and collaborative group of technology professionals collaborate with teams to support our customers as they store, enrich, activate, and monetise their data, brining value to every line of their business. The role: Experience: 15+ Years of SD Experience. 2 -3 years of SAP Implementation Experience 3-4 years of SAP Support Experience Responsibilities: Implementation / Roll-Out / Support - Flexible to work across Work Location: Pune / Hyderabad / Bangalore Hands- On experience in customizing SAP modules (SD, LE) Experience working in a medium to large SAP landscape comprising multiple systems Proven experience on working in SAP implementation and support projects Should be able to independently design new solutions Exposure to integration with other SAP modules Experience in coordinating with development team Basic exposure to ALE , IDOC s Excellent analytical and problem solving skills Project / team management experience Very strong oral written communication Skills SAP SD Functional Expert serves as a subject matter expert for the business in the area of SAP ERP Sales and Distribution (SD) and its business processes (Sales Documents, Deliveries, Logistics, Shipping, Billing etc.). He is accountable for the solution design and configuration of new business process solutions, continuous improvements and for the on-going operational support of these business process solutions. He is responsible for having an in-depth knowledge of the SAP ERP SD module and direct configuration that is needed. Prepare Functional Specifications and Test cases Support client during UAT and month end closing Engaging business stakeholders to understand and analyze business issues, goals and requirements. He/ She will gather requirement, design, configure, test, and implement changes. Producing a consistently high standard of documentation, both in a technical and a descriptive nature. Working with the business to analyze, design, develop, implement, and measure business processes and data flows, often applying process/data analysis and improvement techniques. Generating innovative approaches to existing problems or new opportunities in order to enhance results or maximise potential through researching potential solutions and innovative ideas. Designs and manages tests of new/updated processes. Specifies test environment for whole lifecycle testing. What you'll bring Proven expertise in your area by virtue of which you can contribute to growth of practice. Subject matter expert who can increase the competency in said technology and act as mentor to other team members. Be at the forefront of the exiting journey Hitachi Digital Solutions has undertaken and contribute immensely through your consulting skills for internal as well as external customers.

Skills Required : Basic knowledge of Machine Learning (ML) Understanding of Artificial Intelligence (AI) concepts Familiarity with Chatbots and Generative AI Proficiency in Python Experience in building AI solutions Strong skills in data analysis across any domain Preferred : Prior internship experience in AI/ML Perks & Opportunities : Real-time project exposure in AI/ML Chance for a full-time offer post-internship Work with cutting-edge technologies and learn from industry experts

Your Role Performance analysis Design and implement Performance framework Design and implement Observability stack Support internal engineering team for performance benchmarking and observability onboarding What You Will Bring Programming language strong in Python and bonus with C++/Java/Golang Strong in Math and stats, data analysis Have experience with Observability tools like Grafana, Prometheus, Splunk, Jaeger, Signoz etc Bonus experience with Jenkins, JMeter, ClickHouse, k8s, AWS, etc Experience in designing and developing scalable distributed systems and microservices architectures. Solid understanding of cloud computing concepts and technologies (AWS, Azure, GCP). Familiarity with RESTful APIs and API design principles. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience with agile methodologies and collaborative software development practices. Bachelor s degree in Computer Science, Software Engineering, or a related field. Strong problem-solving skills and a passion for innovation in cloud infrastructure.

Develop effective and interactive training programs and materials to support employee development and organizational enhancement Research, outline, write, proof, and publish engaging digital content Develop timely and essential training programs and materials, create post training assessments for organizational and personnel needs Assist in content calendar preparation every month. Brainstorm & ideate with the Training team to collect, write, research, organize and edit the information Conducting research, generating new areas of development to get a deeper understanding of the topic Contribute to structured content strategy and rollout both internal and external communications on timely basis Coming up with content goals and strategies and pitching ideas to the training team Collaborating with team members and brainstorming subjects for creative content Creating unique, simple-to-understand, and user-friendly content using good techniques Reflects the understanding of the training requirement verbally as we'll as writing new content and editing existing content Editing and proofreading new content before publication Managing the distribution of content through our various channels Analyzing performance indicators and determining the effectiveness of created content Will have to create compelling original, informative and meaningful content for website based on the company s requirement and organize the information for posting on company website and maintain itm periodically Should be able to cover up all the things that the business wants to showcase to the viewers and wants to provide information about the same Will have to post the crisp, precise, and persuasive content to ensure viewers understand what has been presented in front of them Will have to completely understand the requirements of the company, the target audience and must develop the content accordingly while using good search engine optimization (SEO) techniques Has a full understanding of the various business units and their specific training requirements Need to be flexible with shift as and when the business or work requires Key skills and experience required Hands on experience with some of the authoring tools like MS Power point, Articulate Storyline 360, i spring. (Articulate Storyline would be prioritized) Hands on experience using Project management tools like Trello, JIRA. (JIRA would be prioritized) Creating storyboards and write voiceover for the courses. Good knowledge of UX design (User Experience) Data analysis & Problem-solving skills Hands on experience in basic graphic designing tools (Canva) Good command over Microsoft tools like word doc, Excel, etc Excellent communication, writing, and grammar skills with listening skills and multitasking abilities Basic analytical and critical thinking skills An eye for details and a positive attitude, self-motivated and proactive Ideation Ability to prioritize and meet critical deadlines Role: UX , Design & Architecture - Other Industry Type: BPM / BPO Department: UX , Design & Architecture Employment Type: Full Time, Permanent Role Category: Other Design Education UG: Any Graduate PG: Any Postgraduate

Job description Meta is looking for Software Engineer, Machine Learning to join our dynamic team and embark on a rewarding career journey. We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team. The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models to solve complex problems and enhance our products or services. The ideal candidate will have a strong background in machine learning algorithms, programming, and data analysis. Responsibilities : Problem Definition : Collaborate with cross-functional teams to define and understand business problems suitable for machine learning solutions. Translate business requirements into machine learning objectives. Data Exploration and Preparation : Analyze and preprocess large datasets to extract relevant features for model training. Address data quality issues and ensure data readiness for machine learning tasks. Model Development : Develop and implement machine learning models using state-of-the-art algorithms. Experiment with different models and approaches to achieve optimal performance. Training and Evaluation : Train machine learning models on diverse datasets and fine-tune hyperparameters. Evaluate model performance using appropriate metrics and iterate on improvements. Deployment : Deploy machine learning models into production environments. Collaborate with DevOps and IT teams to ensure smooth integration. Monitoring and Maintenance : Implement monitoring systems to track model performance in real-time. Regularly update and retrain models to adapt to evolving data patterns. Documentation : Document the entire machine learning development pipeline, from data preprocessing to model deployment. Create user guides and documentation for end-users and stakeholders. Collaboration : Collaborate with data scientists, software engineers, and domain experts to achieve project goals. Participate in cross-functional team meetings and knowledge-sharing sessions.

Job description Responsible for the end-to-end solution design and architecture Deliver innovative technical products on an aggressive timeline with a team of world-class engineers and admins. Collaborates with Business, Engineering, and peer Product Managers to capture business and solution architecture including business capabilities, value streams and business processes. Collaborates with peer product manager, and other stakeholders to create product strategy, identify investments and create roadmaps that support business goals and align to the minimum viable architecture (MVA). Effectively communicate technical requirements to engineers and non-technical requirements to the business. Understands the context of the supported product and product portfolio within the organization and its competitive landscape. Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 5+ years of experience as an SFDC architect with advanced knowledge of Salesforce platform. 8+ years of experience implementing Salesforce Applications. Demonstrated experience of crafting and owning the 23 year product roadmap and vision. 10+ years of experience integrating systems with third-party service vendors. Proficiency using flow builder, process builder, Omni-channel, entitlement and other out of the box solutions. Demonstrated experience working in a fast-paced deadline-focused environment. Demonstrated success in challenging the status quo and driving impact across stakeholders. Understands the context of the supported product and product portfolio within the organization and its competitive landscape. Preferred Qualifications Experience in implementing latest AI technology such as Agentforce, Einstein AI, Gen AI and machine learning. 10+ years of experience implementing or building solutions with enterprise software. Experience in handling business and leadership communication with internal and external stakeholders and users. Experience in managing large initiatives and multi-tenant Salesforce orgs. Demonstrated experience with lightning component development and Apex code. Preferred Certifications: Advanced Administrator, Service Cloud Consultant, Application Architect and Agentforce Specialist.