256 Data Cleaning Jobs - Page 9

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.,

At Allucent, we are dedicated to helping small-medium biopharmaceutical companies efficiently navigate the complex world of clinical trials to bring life-changing therapies to patients in need across the globe. We are looking for a Senior Clinical Data Manager I to join our A-team in the Chennai location. The Senior Clinical Data Manager I (SrCDM1) will be responsible for leading data management activities of the Allucent Data Management (DM) department. In this role, your key tasks will include leading and serving as the primary contact for DM with all relevant parties both internally and externally, planning and projecting the resources required, monitoring tasks against budgets and forecasts, and developing, reviewing, and maintaining project-specific DM documents. You will also lead and coordinate the development of clinical study database set-up, participate in the review of study documents, coordinate database User Acceptance Testing (UAT), create training materials for EDC users, oversee data cleaning and validation, and manage various data transfers and reconciliation activities. Additionally, you will provide project metric reports, status updates, study progress, and feedback to the project team, organize and lead Quality Review activities during the study, assist in project-related contracts negotiation, and manage the database maintenance, lock, and close-out processes. You will also participate in conference calls and meetings with vendors and sponsors, maintain DM study documentation, support internal and external audits, align data management and clinical programming best practices, and provide leadership and support to other department members. To be successful in this role, you should possess a life science or healthcare degree, a minimum of 5 years of relevant work experience as a Clinical Data Manager, thorough knowledge of ICH-GCP, 21CFR11 data privacy guidelines, and experience with electronic data capture software systems. You should also have experience as a DM lead on several studies, strong written and verbal communication skills, strong project management skills, and the ability to simplify complex issues into understandable concepts. Benefits of working at Allucent include a comprehensive benefits package, competitive salaries, departmental study/training budget, flexible working hours, opportunity for remote/office-based working, leadership and mentoring opportunities, internal growth opportunities, access to online training, eligibility for Spot Bonus Award Program, and eligibility for Loyalty Award Program. Please note that office-based employees are required to work in-office for a minimum number of days per work week. Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on open roles. Candidates should never be submitted directly to hiring managers, employees, or human resources.,

You will be joining XenonStack, a company committed to being the Most Value Driven Cloud Native Platform Engineering and Decision Driven Analytics Company. As part of our team, you will have the opportunity to work on enterprise national and international projects worth millions of dollars. We take pride in our lively and purposeful work culture, emphasizing a people-oriented approach. At XenonStack, you can expect complete job and employee security, along with warm, authentic, and transparent communication. As a Data Analyst at XenonStack, your responsibilities will include determining organizational goals, mining data from primary and secondary sources, cleaning and pruning data, analyzing and interpreting results, pinpointing trends, patterns, and correlations in complex data sets, providing concise data reports with visualizations, and creating and maintaining relational databases and data systems. We are looking for candidates with technical expertise in statistical skills, programming languages (especially Python), advanced MS Excel skills, data warehousing, business intelligence, data analysis, data cleaning, data visualization, and knowledge of Spark, PySpark, SQL, NoSQL, SAS, Tableau, Hadoop, JavaScript, and Python. Additionally, we value professional attributes such as excellent communication skills, attention to detail, analytical thinking, problem-solving aptitude, strong organizational skills, and visual thinking. Ideal candidates for this position should have a technical background, including a degree in BCA, BSC, B.Tech, MSc, or M.Tech with programming skills. The desired experience for this role is 3-4 years. If you enjoy working in a collaborative environment, have a passion for data analysis, and possess the required technical skills, XenonStack welcomes you to join our team located at Plot No. C-184, Sixth Floor 603, Sector 75 Phase VIIIA, Mohali 160071. This position requires in-office work engagement.,

Excelya is a leading independent Contract Research Organization (CRO) in Europe, dedicated to providing a people-centered approach since its inception in 2014. As a part of the ambitious health company, with a team of 900 Excelyates, our unique service model offers a diverse array of projects, enabling professional growth and personal development. In collaboration with experts, Excelya aims to advance scientific knowledge and enhance the patient journey, striving to become the clinical research leader in Europe. As a Clinical Data Manager at Excelya, you will be responsible for executing Data Management tasks in compliance with regulatory standards and Client SOPs. Working under the supervision of senior staff, you will be involved in data cleaning, review, discrepancy management, and reconciliation activities on assigned studies. Additionally, you will collaborate with the Lead Data Manager, generate study metrics and reports, and participate in study documentation archiving. Excelya is currently seeking a Full Service Provider role of Clinical Data Manager I (CDMI) based in Bangalore, India. The role requires a candidate with a Bachelor's degree in a Scientific discipline, preferably with at least one year of experience as a Data Manager or relevant expertise. Knowledge of ICH GCP guidelines, clinical trial databases, data flow, and proficiency in office computer applications are essential requirements for this position. Effective communication skills, both verbal and written, along with a commitment to professionalism, ethics, and compliance, are key attributes we are looking for in potential candidates. The successful candidate for the role of Clinical Data Manager at Excelya should be fluent in both the local language and English. This full-time position is located in Bangalore and offers an opportunity to contribute to the field of Clinical Research. If you are passionate about making a difference in the healthcare industry and meet the mentioned requirements, we encourage you to apply for this exciting opportunity. If you are interested in this position, please reach out to Bhavya Reddy, HR Manager, for further details.,

As a Manufacturing Data Analyst at our high-growth company, you will be responsible for understanding manufacturing data from clients, devising strategies to address pain points, and enhance business value. Your role will involve data exploration, analysis, and automation of data cleaning tasks. You will collaborate closely with the data science and product teams to derive valuable insights from client data. You should hold a Bachelor's or Master's degree in engineering, mathematics, Mechanical/Aerospace Engineering, and possess 4-6 years of experience working with renowned manufacturing/aerospace/automotive/consumer product companies. Proficiency in working with spreadsheets and processing large volumes of data is essential, along with experience in Python (Pandas)/R. In this role, you will be expected to understand and define relationships among entities in manufacturing data, interpret technical statements, and engage in tasks ranging from understanding business objectives to data manipulation and web scraping solutions. Collaboration with stakeholders such as machine learning engineers, data scientists, data engineers, and product managers will be a key aspect of your responsibilities. We are looking for individuals who are entrepreneurial, driven, and eager to contribute to a fast-growing SaaS company. You should have excellent written and verbal communication skills, expertise in natural language processing (NLP) techniques for text and sentiment analysis, and ideally, experience working with startups. Joining our interdisciplinary team, you will have the opportunity to work with leaders from Palantir, McKinsey, GM, and Ford. We value collaboration, diversity of thinking, and setting high standards to deliver exceptional results in a startup environment.,

We are Brainlabs, the High-Performance media agency, on a mission to become the world's biggest and best independent media agency. We plan and buy media that delivers profitable and sustained business impact. Our formula for success lies in our Superteams of Brainlabbers, fueled by data and enabled by technology. At Brainlabs, we prioritize our culture above all else. Our shared principles, philosophies, and values, as documented in The Brainlabs Handbook, have shaped our unique culture from the agency's inception. To further enhance and evolve our culture, The Brainlabs Handbook has been refined into The Brainlabs Culture Code. The Brainlabs Culture Code comprises 12 codes that define what it means to be a Brainlabber. It embodies our collective commitment to continuous development, fostering a company where Brainlabbers can excel, build relationships, and achieve success together. As a Specialist in Data Science at Brainlabs, you will report to the Manager, Data Science and operate from our Bengaluru office under an adaptive working model. In this role, you will be a pivotal member of our Data Science team, focusing on developing and deploying machine learning models to tackle intricate business challenges. Your responsibilities will include working with extensive datasets, constructing scalable data pipelines, and collaborating with diverse teams to deliver impactful solutions. If you are enthusiastic about machine learning, data-driven problem-solving, and cutting-edge technology, this position is tailored for you! Your key responsibilities will include developing and maintaining web scraping infrastructure, enhancing data quality through cleaning and transformation, designing and implementing various machine learning models, optimizing model performance, aiding in production deployment, identifying and resolving operational issues, collaborating with engineering and DevOps teams, understanding cross-functional requirements, and effectively communicating technical concepts to stakeholders. To excel in this role, you should possess a Bachelor's or Master's degree in Computer Science, Data Science, or a related field, along with 2-5 years of experience in machine learning model development and deployment. Proficiency in Python and relevant libraries, practical experience in web scraping, familiarity with cloud platforms, and strong communication and collaboration skills are essential. Success in this role will be measured by your ability to efficiently develop and deploy machine learning models with tangible business impact, implement smooth and scalable data pipelines, continuously monitor and optimize model performance, collaborate effectively with cross-functional teams, and communicate technical concepts clearly and insightfully. The recruitment process involves a comprehensive interview series, including skills assessments with our team, to ensure that the role aligns with both your career aspirations and our organizational needs. We understand the challenges of job searching and aim to find the best fit for both you and Brainlabs.,

Insurance Domain Expert - Data Migration || 7+ years || Noida Years of exp: 7+ years Work mode: Hybrid Overview : Seeking an experienced Insurance Domain Expert to lead data migration projects within the organization. The ideal candidate will have a deep understanding of the insurance industry, data management principles, and hands-on experience in executing successful data migration initiatives. Key Responsibilities: 1. Industry Expertise: - Provide insights into best practices within the insurance domain to ensure compliance and enhance data quality. - Stay updated on regulatory changes affecting the insurance industry that may impact data processing and migration. 2. Data Migration Leadership: - Plan, design, and implement comprehensive data migration strategies to facilitate smooth transitions between systems. - Oversee the entire data migration process, including data extraction, cleaning, transformation, and loading (ETL / ELT). 3. Collaboration and Communication : - Liaise between technical teams and business stakeholders to ensure alignment of migration objectives with business goals. - Prepare and present progress reports and analytical findings to management and cross-functional teams. 4. Risk Management : - Identify potential data migration risks and develop mitigation strategies. - Conduct thorough testing and validation of migrated data to ensure accuracy and integrity. 5. Training and Support : - Train team members and clients on new systems and data handling processes post-migration. - Provide ongoing support and troubleshooting for data-related issues. Qualifications: - Bachelors degree in information technology, Computer Science, or a related field; advanced degree preferred. - Minimum of 7-10 years of experience in the insurance domain with a focus on data migration projects. - Strong knowledge of insurance products, underwriting, claims, and regulatory requirements. - Proficient in data migration tools and techniques, with experience in ETL processes. - Excellent analytical and problem-solving skills with a keen attention to detail. - Strong communication and presentation skills to interact with various stakeholders.

As a senior analyst in the Data Processing team, you will be responsible for managing quantitative data processing tasks to ensure the successful completion of global market research studies. Your primary duties will involve executing programming, data management, cleaning, coding, and validation processes with a focus on achieving high accuracy and compliance with both internal and regulatory standards. It will be essential for you to handle multiple projects simultaneously, working closely with team leads and research teams to meet deadlines while upholding data quality standards. Your responsibilities will include managing all aspects of data processing for complex global market research projects, coordinating projects by collaborating with research teams, designing data processing plans, and tracking project timelines to ensure high-quality deliverables within established schedules. You will also be involved in survey design and tool evaluation, data validation and quality assurance, coding framework development, internal function development, communication, and teamwork. To be successful in this role, you should possess an undergraduate or advanced degree in mathematics, IT, or a related discipline, along with at least 2 years of relevant professional experience in a corporate/business, primary market research, or consulting environment. Hands-on experience in data collection techniques, a strong understanding of market research methodology, and proficiency in data processing tools and languages such as SPSS, SAS, R, Python, and SQL will be required. Additionally, familiarity with data visualization tools like Tableau and Power BI is essential, while knowledge of survey tools and platforms such as Qualtrics and SurveyMonkey would be advantageous. Having a growth mindset, customer and quality centricity, strong communication skills, effective time management and organization, as well as a results-oriented approach will be crucial for excelling in this role. You will also be expected to actively contribute to the broader business mission, vision, purpose, and the Prescient brand, while supporting social and environmental initiatives within the communities where we operate. For more information, please visit us at www.prescienthg.com.,

Key Responsibilities Extract and analyze data from company databases to drive the optimization and enhancement of product development and marketing strategies. Analyze large datasets to uncover trends, patterns, and insights that can influence business decisions. Leverage predictive and AI/ML modeling techniques to enhance and optimize customer experience, boost revenue generation, improve ad targeting, and more. Design, implement, and optimize machine learning models for a wide range of applications such as predictive analytics, natural language processing, recommendation systems, and more. Conduct experiments to fine-tune machine learning models and evaluate their performance using appropriate metrics. Deploy machine learning models into production environments, ensuring scalability Qualifications Bachelor's, Master's or Ph.D in Computer Science, Data Science, Mathematics, Statistics, or a related field. 2+ years of experience in Analytics, Machine learning, Deep learning. Proficiency in programming languages such as Python, and familiarity with machine learning libraries (e.g., Numpy, Pandas, TensorFlow, Keras, PyTorch, Scikit-learn). Strong experience with data wrangling, cleaning, and transforming raw data into structured, usable formats. Hands-on experience in developing, training, and deploying machine learning models for various applications (e.g., predictive analytics, recommendation systems, anomaly detection). In-depth understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) and their appropriate use cases. Experience with model evaluation techniques (e.g., cross-validation, A/B testing, performance metrics). Experience with cloud platforms (AWS, GCP, Azure) for model deployment and scalal Proficiency in data processing and manipulation techniques. Excellent problem-solving skills and the ability to work effectively in a collabor environment. Strong communication skills to convey complex technical concepts to non-tech stakeholders. Good To Have Experience in the [banking/financial services/industry-specific] sector. Familiarity with cloud-based machine learning platforms such as Azure, AWS, or GCP. Skills: recommendation systems,pytorch,cloud,anomaly detection,numpy,python,data cleaning,deep learning,predictive analytics,a/b testing,machine learning,pandas,tensorflow,scikit-learn,data wrangling,cloud platforms (aws, gcp, azure),model evaluation techniques,cross-validation,keras,machine learning models,

AI / Machine Learning / Data Science part time Work from Home (Any where in world) Warm Greetings from Excel Online Classes, We are a team of industry professionals running an institute that provides comprehensive online IT training, technical support, and development services. We are currently seeking AI / Machine Learning / Data Science Experts who are passionate about technology and can collaborate with us in their free time. If you're enthusiastic, committed, and ready to share your expertise, we would love to work with you! Were hiring for the following services: Online Training Online Development Online Technical Support Conducting Online Interviews Corporate Training Proof of Concept (POC) Projects Research & Development (R&D) We are looking for immediate joiners who can contribute in any of the above areas. If you're interested, please fill out the form using the link below: https://docs.google.com/forms/d/e/1FAIpQLSdvut0tujgMbBIQSc6M7qldtcjv8oL1ob5lBc2AlJNRAgD3Cw/viewform We also welcome referrals! If you know someone—friends, colleagues, or connections—who might be interested in: Teaching, developing, or providing tech support online Sharing domain knowledge (e.g., Banking, Insurance, etc.) Teaching foreign languages (e.g., Spanish, German, etc.) Learning or brushing up on technologies to clear interviews quickly Upskilling in new tools or frameworks for career growth Please feel free to forward this opportunity to them. For any queries, feel free to contact us at: excel.onlineclasses@gmail.com Thank you & Best Regards, Team Excel Online Classes excel.onlineclasses@gmail.com

Key Responsibilities Develop and maintain backend systems using Django and Django Rest Framework (DRF) Write clean, modular, and scalable code for APIs, forms, and admin panels Collaborate with frontend developers to integrate REST APIs with responsive UI Work with file upload systems, data cleaning (Pandas), and scheduled jobs (APScheduler/Celery) Handle database modeling, migrations, and optimization Assist in deploying applications on Linux/Ubuntu servers (DigitalOcean or similar) Write unit tests and participate in peer code reviews Debug production issues and optimize system performance Maintain documentation and contribute to agile sprint planning Must-Have Skills Strong hands-on experience in Python 3.x and Django Working knowledge of Django Rest Framework (DRF) Experience with PostgreSQL or MySQL Comfortable using Git and version control practices Understanding of REST APIs, request/response cycle, and

Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail

Seeking a Junior Analyst with strong Excel skills, data analysis expertise, and attention to detail to create reports and support business insights. Were hiring a Junior Analyst with 1-2 years of experience and strong Excel skills to create reports, analyze data, and support business decisions. Attention to detail and a proactive mindset are key. Apply now to be part of a data-driven team!

Shift: (GMT+05:30) Asia/Kolkata (IST) What do you need for this opportunity? Must have skills required: Machine Learning, NumPy, Data Cleaning, Python, Model evaluation, pandas, Statistics We are seeking a talented Data Scientist II to join our team. The ideal candidate will have 2-5 years of experience in data science and possess expertise in machine learning, deep learning, Python programming, SQL, Amazon Redshift, NLP, and AWS Cloud. ** Duties and Responsibilities: Develop and implement machine learning models to extract insights from large datasets. Utilize deep learning techniques to enhance data analysis and predictive modeling. Write efficient Python code to manipulate and analyze data. - Work with SQL databases to extract and transform data for analysis. Utilize Amazon Redshift for data warehousing and analytics. Apply NLP techniques to extract valuable information from unstructured data. - Utilize AWS Cloud services for data storage, processing, and analysis. Qualifications and Requirements: Bachelor's degree in Computer Science, Statistics, Mathematics, or related field. - 3-5 years of experience in data science or related field. Proficiency in machine learning, deep learning, Python programming, SQL, Amazon Redshift, NLP, and AWS Cloud. Strong analytical and problem-solving skills. - Excellent communication and teamwork abilities. * *Key Competencies - Strong analytical skills. - Problem-solving abilities. - Proficiency in machine learning and deep learning techniques. Excellent programming skills in Python. - Knowledge of SQL and database management. - Familiarity with Amazon Redshift, NLP, and AWS Cloud services. ** Performance Expectations: Develop and deploy advanced machine learning models. Extract valuable insights from complex datasets. Collaborate with cross-functional teams to drive data-driven decision-making. Stay updated on the latest trends and technologies in data science. We are looking for a motivated and skilled Data Scientist I to join our team and contribute to our data-driven initiatives. If you meet the qualifications and are passionate about data science, we encourage you to apply.

About the Role Minimum 6+ years of experience as Data Platform Engineer Cloud data platform engineer who designs, builds, and manages data storage and workflows in cloud environments. They ensure that data is secure, accessible, and processed efficiently. Data Platform Management and Optimization - designs, builds, and manages data storage and workflows/compute in cloud environments. Roles & Responsibilities: Assist with the data platform blueprint and design. Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Develop and maintain data platform components. Contribute to the overall success of the project. Professional & Technical Skills: Proficiency in Databricks Unified Data Analytics Platform. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.

Communicating with various service providers like Custodian, Fund Accountant, R&T Agent for day to day Back-Office operations. Also, with Trustee and Auditors for various report submissions. Key Responsibilities: 1. Day-to-Day Operations Assist in managing daily operational tasks including data entry, reporting, and tracking. Coordinate with internal teams such as sales, HR, accounts, and logistics to ensure timely task execution. Handle documentation and maintain organized records of transactions and internal communications. 2. Process Coordination Help develop and enforce efficient internal workflows. Coordinate with vendors, service providers, and internal stakeholders to ensure timely deliveries and services. Track timelines, deadlines, and deliverables for ongoing projects. 3. Reporting & Analysis Generate daily, weekly, and monthly reports for team performance, supply chain, client satisfaction, or financials, as applicable. Assist in data cleaning, formatting, and interpretation for meaningful insights. Prepare dashboards and performance summaries in Excel, Google Sheets, or internal tools. 4. Client & Stakeholder Communication Manage inbound queries and provide updates to clients or customers when required. Support the operations team in coordinating client meetings, follow-ups, and escalations. Draft emails, reports, and memos with professionalism and clarity. 5. Compliance & Documentation Ensure all processes adhere to internal policies and compliance standards. Assist in the preparation of audit documents, purchase orders, invoices, and agreements. Maintain confidentiality and proper authorization of sensitive data.

Overview Provide advanced analytics support for the LATAM Sector in the Insights Services Center; a part of the broader Global Business Services function in Hyderabad, India. This role will help to enable accelerated growth for PepsiCo by developing custom descriptive analytics approaches for LATAM to drive deeper understanding of business performance drivers both at the National / Regional / State /City level. Primary responsibilities include developing/enhancing statistical models to address key business questions associated with Growth Driver Modeling, Pricing, Assortment, Market Structure, Innovation Forecasting, and Category Growth Forecasts, Portfolio growth model, Ambition related assignments for the key markets of LATAM. Additionally, this role will also support the consumer insight team by collating learnings from a variety of sources, to help inform the development of future insights strategies for various brands with in Bevareages / Snacks . The role will have short-term responsibilities for knowledge transfer from the Vendors and effectively establishing business process and communication methods with teams they support; both are crucial requirements to enabling the organization to deliver answers to on-going business questions Responsibilities Functional Responsibilities: Support delivery of descriptive and predictive analytics as defined by the SLA (Service Level Agreement) within the LATAM Business Service Service Center Execute deep descriptive analytics of business performance and drivers to supplement standard reporting and inform data-driven decisions Identify, assess, and visualize key market share drivers for LATAM Categories, as a growth catalyst to prioritize and enable brand planning across portfolio Support LATAM regions annual SKU optimization process for the portfolio; analyzing impact by channel, customers and region as needed based on HQ delivered recommendations & targets Advise and share Advanced Analytics models and best practices with Regional Category Managers to leverage and build Advanced Analytics capability. Develop, maintain, and apply statistical models to business questions - including forecasting, price sensitivities/corridors, drivers analysis, market structure, etc. Forecast market growth leveraging (PGM an internal tool) on an annual basis to inform PEPs long-term expectations for growth Collate and format consumer learnings from custom insight outputs, sales performace reporting, industry periodicals, and social listening resources, etc to help inform and develop future consumer insights strategies Provide responses to ad-hoc follow-ups when double-click (additional questions) required with tables/charts for relevant data Support relationships with the key end-user stakeholders in LATAM and region offices Own flawless execution of analytics exercises Responsible for managing multiple priorities; being able to manage deadlines and deliverables Lead communication with Business Partners and potentially end-users on matters such as available capacity, changes of scope of existing projects and planning of future projects Deliver outputs in line with the agreed timelines and formats Flag and monitor any business risks related to delivering the requested outputs Partner with stakeholders and service center leadership to develop and finetune internal COE processes (work-flow mapping, pain-points and bottlenecks management) both related to service delivery and internal center operations Improve existing processes based on frequent Business Partner & end-user feedback loop People and Project Management Responsibilities Develop new skillsets among team members related to advanced analytics by conducting training and period review Promotes cross functional seamless communication, sharing know how and creating same quality of experience across sector markets Qualifications 6+ years of experience in the field of analytics Ability to convert insights into story that answers critical business questions. Hands on in coding in tools like R and Python ( both or at least Hands on in MS excel(advanced) and SQL Understanding of data structures, adept in data cleaning, structure, and aggregation as per need End-to-end project management. Expert of statistical techniques like regression, forecasting, decision trees and modelling process- concept and coding. Ability to design model architecture and translate business problem into analytical problem Ability to visualize data set and identify KPIs that will help decision making. Good PowerPoint skills. Experience in ML techniques, cloud compatible tech stacks, understanding of data pipeline creation preferable

Qualification & Experience: Minimum of 8 years of experience as a Data Scientist/Engineer with demonstrated expertise in data engineering and cloud computing technologies. Technical Responsibilities Excellent proficiency in Python, with a strong focus on developing advanced skills. Extensive exposure to NLP and image processing concepts. Proficient in version control systems like Git. In-depth understanding of Azure deployments. Expertise in OCR, ML model training, and transfer learning. Experience working with unstructured data formats such as PDFs, DOCX, and images. O Strong familiarity with data science best practices and the ML lifecycle. Strong experience with data pipeline development, ETL processes, and data engineering tools such as Apache Airflow, PySpark, or Databricks. Familiarity with cloud computing platforms like Azure, AWS, or GCP, including services like Azure Data Factory, S3, Lambda, and BigQuery. Tool Exposure: Advanced understanding and hands-on experience with Git, Azure, Python, R programming and data engineering tools such as Snowflake, Databricks, or PySpark. Data mining, cleaning and engineering: Leading the identification and merging of relevant data sources, ensuring data quality, and resolving data inconsistencies. Cloud Solutions Architecture: Designing and deploying scalable data engineering workflows on cloud platforms such as Azure, AWS, or GCP. Data Analysis : Executing complex analyses against business requirements using appropriate tools and technologies. Software Development : Leading the development of reusable, version-controlled code under minimal supervision. Big Data Processing : Developing solutions to handle large-scale data processing using tools like Hadoop, Spark, or Databricks. Principal Duties & Key Responsibilities: Leading data extraction from multiple sources, including PDFs, images, databases, and APIs. Driving optical character recognition (OCR) processes to digitize data from images. Applying advanced natural language processing (NLP) techniques to understand complex data. Developing and implementing highly accurate statistical models and data engineering pipelines to support critical business decisions and continuously monitor their performance. Designing and managing scalable cloud-based data architectures using Azure, AWS, or GCP services. Collaborating closely with business domain experts to identify and drive key business value drivers. Documenting model design choices, algorithm selection processes, and dependencies. Effectively collaborating in cross-functional teams within the CoE and across the organization. Proactively seeking opportunities to contribute beyond assigned tasks. Required Competencies: Exceptional communication and interpersonal skills. Proficiency in Microsoft Office 365 applications. Ability to work independently, demonstrate initiative, and provide strategic guidance. Strong networking, communication, and people skills. Outstanding organizational skills with the ability to work independently and as part of a team. Excellent technical writing skills. Effective problem-solving abilities. Flexibility and adaptability to work flexible hours as required. Key competencies / Values: Client Focus : Tailoring skills and understanding client needs to deliver exceptional results. Excellence : Striving for excellence defined by clients, delivering high-quality work. Trust : Building and retaining trust with clients, colleagues, and partners. Teamwork : Collaborating effectively to achieve collective success. Responsibility : Taking ownership of performance and safety, ensuring accountability.

We are seeking a highly motivated and detail-oriented Data Analyst to join our growing team. The ideal candidate will be passionate about transforming raw data into actionable insights, helping us make informed strategic decisions. You will play a crucial role in collecting, processing, and performing statistical analyses on large datasets, translating complex findings into clear, concise reports and visualizations for various stakeholders. Key Responsibilities: -Data Collection & Cleaning: Source, collect, and clean data from various internal and external databases, ensuring data accuracy, completeness, and consistency. -Data Analysis & Modeling: Perform in-depth statistical analysis, identify trends, patterns, and anomalies in data. Develop and implement data models to predict outcomes and optimize performance. -Reporting & Visualization: Create compelling and intuitive dashboards, reports, and presentations using data visualization tools (e.g., Power BI, Tableau) to communicate insights to technical and non-technical audiences. Location-Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad,Remote

About the job: Key responsibilities: 1. Enter and manage day-to-day financial transactions using Tally software 2. Maintain accurate records of purchases, sales, receipts, and payments 3. Reconcile bank statements and ensure timely entries of all financial transactions 4. Generate invoices, GST reports, and other statutory filings as required 5. Assist in preparation of monthly, quarterly, and annual financial statements 6. Maintain general ledger and supporting schedules 7. Coordinate with external auditors and provide required documentation 8. Ensure compliance with accounting standards and company policies 9. Assist in inventory and asset management where applicable Who can apply: Only those candidates can apply who: have minimum 1 years of experience Salary: ₹ 2,20,000 - 5,00,000 /year Experience: 1 year(s) Deadline: 2025-07-09 23:59:59 Skills required: Accounting, Tally, MS-Excel, Data entry, Data Analysis, Data Extraction, Data Cleaning and Accounting Software Other Requirements: 1. Educational qualification: B.Com / M.Com / CA Inter or equivalent 2. Minimum 1 year of working experience in Tally ERP 9 / Tally Prime 3. Proficiency in Tally ERP 9 / Tally Prime 4. Working knowledge of MS Excel and GST 5. Understanding of accounting principles and statutory requirements 6. Attention to detail and accuracy 7. Strong organisational and time management skills 8. Ability to work independently and within a team About Company: Join NONA Lifestyle, a leading provider of tech-driven procurement solutions for corporate needs. We specialize in custom workwear, uniforms, soft furnishings, safety gear, and more, using cutting-edge technology to simplify the process. At NONA Lifestyle, we redefine corporate procurement with precision and excellence. Whether you're starting your career or seeking an internship, join us in our dynamic environment where innovation thrives. Explore limitless opportunities with us and contribute to shaping the future of corporate identity. Apply now and embark on a rewarding journey at NONA Lifestyle.

REF69967Q_2025151745 - Deputy Manager - Operations - Data science Roles & Responsibilities: Data Analysis: Analyse large datasets to extract meaningful insights and trends Model Development: Develop and implement predictive models and machine learning algorithms to solve business problems Data Cleaning: Ensure data quality by cleaning and pre-processing data Visualization: Create visualizations to present data insights using tools like Power BI or Python libraries (eg, Matplotlib, Seaborn) Collaboration: Work closely with data engineers, software developers, and business stakeholders to understand requirements and deliver solutions Reporting: Generate automated reports and dashboards to provide actionable insights Research: Stay updated with the latest trends and technologies in data science and machine learning Technical Skills Required: Programming Languages: Proficiency in Python and SQL Machine Learning: Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch Data Visualization: Skills in data visualization tools like Power BI, Matplotlib, Seaborn, or Plotly Statistical Analysis: Strong understanding of statistical methods and techniques Data Wrangling: Expertise in data wrangling and pre-processing using libraries like Pandas and NumPy Platforms like Power BI, Power Automate, Apps are good to have

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Location: Remote,Anywhere in /Multiple Locations- Delhi / NCR,Bangalore/Bengaluru,Hyderabad/Secunderabad,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Location: Remote,Anywhere in /Multiple Locations- Delhi / NCR,Bangalore/Bengaluru,Hyderabad/Secunderabad,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

What lands you in this role Prepare and transform datasets through thorough data wrangling, cleansing, and preprocessing to enable high-quality analysis. Build and maintain efficient data ingestion pipelines to seamlessly integrate data from multiple sources. Conduct deep exploratory data analysis (EDA) to identify trends, patterns, and actionable insights. Leverage Python and SQL extensively for data manipulation, querying, and deploying analytical models. Use Excel and BI tools (Tableau, Power BI etc) for dashboards and data analysis. Translate complex model outputs into clear, actionable insights for both technical and business stakeholders. Partner closely with data engineers, analysts, and business teams to embed analytical solutions into existing workflows. Contribute to the development and optimization of statistical models and machine learning algorithms for targeted business problems. Support the design and validation of forecasting models to anticipate future business outcomes. Keep abreast of emerging techniques and innovations in data science, machine learning, and statistical modeling. Required Skills & Qualifications: 3 to 6 years of experience in Business Analysis, statistics, Data cleaning and transformation and related fields. Good proficiency in statistical modeling and hypothesis testing. Hands-on experience with Python (NumPy, Pandas, Scikit-learn, etc.). Advanced SQL skills for querying and manipulating large datasets. Experience in Excel and creating Dashboards is a plus. Experience in data wrangling, preprocessing, and feature engineering. Knowledge of data ingestion techniques and pipeline development. Ability to interpret predictive models, classification, regression, and clustering algorithms. Strong analytical and problem-solving skills with a keen eye for detail. Excellent communication and storytelling skills to present insights effectively.

Job Title: Data Analyst Location: Bangalore Experience: 6+ years Role Overview We are seeking a skilled Data Analyst to support our platform powering operational intelligence across airports and similar sectors. The ideal candidate will have experience working with time-series datasets and operational information to uncover trends, anomalies, and actionable insights. This role will work closely with data engineers, ML teams, and domain experts to turn raw data into meaningful intelligence for business and operations stakeholders. Key Responsibilities Analyze time-series and sensor data from various sources Develop and maintain dashboards, reports, and visualizations to communicate key metrics and trends. Correlate data from multiple systems (vision, weather, flight schedules, etc) to provide holistic insights. Collaborate with AI/ML teams to support model validation and interpret AI-driven alerts (e.g., anomalies, intrusion detection). Prepare and clean datasets for analysis and modeling; ensure data quality and consistency. Work with stakeholders to understand reporting needs and deliver businessoriented outputs. Qualifications & Required Skills Bachelors or Masters degree in Data Science, Statistics, Computer Science, Engineering, or a related field. 5+ years of experience in a data analyst role, ideally in a technical/industrial domain. Strong SQL skills and proficiency with BI/reporting tools (e.g., Power BI, Tableau, Grafana). Hands-on experience analyzing structured and semi-structured data (JSON, CSV, time-series). Proficiency in Python or R for data manipulation and exploratory analysis. Understanding of time-series databases or streaming data (e.g., InfluxDB, Kafka, Kinesis). Solid grasp of statistical analysis and anomaly detection methods. Experience working with data from industrial systems or large-scale physical infrastructure. Good-to-Have Skills Domain experience in airports, smart infrastructure, transportation, or logistics. Familiarity with data platforms (Snowflake, BigQuery, Custom-built using opensource). Exposure to tools like Airflow, Jupyter Notebooks and data quality frameworks. Basic understanding of AI/ML workflows and data preparation requirements.