1129 Data Extraction Jobs - Page 30

About OnlineSales.ai Built by ex-Amazon ad-tech experts, OnlineSales.ai offers a future-proof Retail Media Operating System - boosting Retailer s profitability by 7% of Sales! We are an Enterprise B2B SaaS startup, based out of Pune India. With OnlineSales.ais platform, retailers activate and delight 10x more Brands by offering an omni-channel media buying experience, advanced targeting, analytics & 2x better ROAS. Tier 1 Retailers and Marketplaces globally are accelerating their Monetization strategy with OnlineSales.ai and are innovating ahead of the market by at least 2 years. About the Role We are seeking a talented and motivated individual to join our team as a Senior Data Analyst who will be responsible for extracting insights from complex datasets to drive informed decision-making and enhance business performance. You will collaborate closely with cross-functional teams to identify key metrics, develop data-driven strategies, and provide actionable recommendations. Additional responsibilities may include managing daily regulatory reporting tasks and remediation activities, as well as process improvement. What will you do @OnlineSales? Data Analysis: Utilize advanced analytical techniques to explore large datasets, identify trends, patterns, and anomalies, and extract actionable insights. Data Visualization: Create visually compelling dashboards and reports to communicate findings effectively to stakeholders, enabling them to make informed decisions. Data Extraction: regular extraction of relevant data from internal databases using SQL queries. Design and optimize SQL queries to retrieve specific datasets required for performance analysis and reporting Issue Identification: Proactively identify performance-related issues by monitoring key performance indicators (KPIs), analyzing trends, and investigating anomalies reported by internal stakeholders or external clients. Addressing Client Exceptions and Issues: Responsively address performance-related exceptions and issues raised by clients, ensuring timely resolution and effective communication throughout the process. Collaborate with client-facing teams to understand client requirements, prioritize tasks, and deliver solutions that meet or exceed client expectations. Root Cause Analysis: Dive deep into data to understand the root causes of performance issues, considering factors such as system architecture, infrastructure, code efficiency, and user behavior. Hypothesis Testing: Apply hypothesis testing techniques to validate assumptions and identify statistically significant factors impacting performance. Documentation and SOP Creation: Create clear and detailed Standard Operating Procedures (SOPs) outlining the process for diagnosing, troubleshooting, and resolving performance issues. Ensure that documentation is organized, easily accessible, and regularly updated to reflect changes in systems, processes, or configurations. Cross-Functional Collaboration: Collaborate with teams across the organization, including business development, marketing, product development and operations, to understand their data needs and provide analytical support You will be a great fit, if you have : 2-4 years of relevant experience. Bachelors or Masters degree in Computer Science, Engineering, or a related technical field. Proficiency in SQL for data extraction and manipulation from relational databases. Familiarity with programming languages such as Python for Data Analysis and Data modeling is a plus. Strong analytical skills with the ability to interpret complex datasets and draw meaningful insights. Strong problem-solving abilities with a proactive approach to troubleshooting and issue resolution. Advanced proficiency in Excel and adept data manipulation skills for efficient analysis and visualization of large datasets. Effective communication and interpersonal skills for collaboration with cross-functional teams and stakeholders. Understanding of E-Commerce as a domain. Excellent documentation skills with the ability to create clear and comprehensive reports and SOPs. Attention to detail and commitment to data accuracy and quality. Willingness to work for a startup. Why Online Sales.ai? Startup-y . We believe Startup is a mindset. It s about being scrappy, being nimble, solving tough problems with constrained resources, and more. It s about working hard and playing hard Enterprise SaaS . Opportunity to work with an Enterprise Product SaaS firm with aspirations of growing 10x across the globe AI-led Retail Tech . We are working to digitize & democratize one of the most exciting and growing verticals - Retail Tech leveraging data, machine learning, and automation (culmination of ad-tech, mar-tech, and analytics for Retail vertical) Meaningful work . This is not just a job. You can find a job anywhere. This is a place for the bold to get paid who make a real impact on business No red tape . Say goodbye to pointless meetings or political hoops to jump through. We re scrappy, believe in autonomy, and empower our teams to do whatever it takes to do the unthinkable Problem Solving . We ignite the best in you. We exist not only to deliver meaningful innovation but to ignite and inspire the creative problem-solver in you Quirky & fun . Enjoy new skills and hobbies like being a quiz master, playing board games, trying your hands on percussion, playing Djembe, and spreading love within the org!

AOP team is looking for an innovative, hands-on and customer-obsessed Business Analyst for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once. Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done. This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams. 1) Translate business problems into analytical requirements and define expected output 2) Create analytical approach to solve the problem inline with stakeholder expectation 3) Be the domain expert and have knowledge of data availability from various sources. 4) Execute solution with scalable development practices in scripting, data extraction and data visualization 5) Triangulate data from multiple sources to ensure data fidelity 6) Responsible for deep-dive analysis on key metrics 7) Manage top notch communication with stakeholders and team members with include project progress, blockers etc. A day in the life 1) Solve analyses with well-defined inputs and outputs; drive to the heart of the problem and identify root causes 2) Have the capability to handle large data sets in analysis 3) Derive recommendations from analysis 4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing 5) Communicate analytical insights effectively About the team AOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace. AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession. We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities. We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams. 1+ years of tax, finance or a related analytical field experience 2+ years of complex Excel VBA macros writing experience Bachelors degree or equivalent Experience defining requirements and using data and metrics to draw business insights Experience with SQL or ETL Experience working with Tableau Experience using very large datasets

Its fun to work at a company where people truly believe in what they are doing! Job Description: Job Description Position Summary The Litigation Analyst works as a member of the Operations team within Epiqs Electronic Discovery. In this role analyst is responsible for both overseeing litigation support work and interacting with Client services in order to maintain ECTs w.r.t processing team s work. Strong attention to detail, high quality work product and frequent interaction with project managers is also a major function of this role. Essential Job Responsibilities The Litigation Analyst is responsible for the following: Oversee daily tasks and workflows performed by the litigation support department as directed by management Ensure daily services requests are assigned to team members and executed accurately in accordance with client deadlines Ensure all QC procedures and protocols are followed Responsible for performing searching, search term formatting and structured analytics. Also responsible for managing processing team priorities, managing ECTs and communication with project managers whenever required. Handling general requests and assigning to other teams as per the instructions so knowledge of overall EDRM model is also required. Trouble-shoot and resolve issues from litigation Analysts and Client Services prior to escalation to managers Requirements for the role include: At least 2-3 years experience in the litigation support industry is required. Intermediate knowledge of several ESI data processing platforms (e.g. NUIX) Intermediate knowledge of several ESI data hosting platforms (e.g. Relativity, Concordance, Summation etc.) Must be flexible in working long hours and could work earlier and later than their scheduled shift to meet often last minute and tightly compressed client deadlines Must possess a strong understanding of electronic discovery tools and technology with an advanced level understanding of eDiscovery Processing and data extraction Possess and employ effective verbal and written communicate skills and work positively and effectively with other company departments Education & Experience Bachelor s degree or equivalent combination of education and experience; a degree in Computer Science, Business Management or a closely related field of study is preferred. Knowledge, Skills, and Abilities Experience working under tight deadlines in a fast-paced technical environment is strongly preferred Ability to perform troubleshooting and learn customized proprietary software Excellent communication skills (written and verbal) Strong organizational skills and an extreme attention to detail is required If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us!

About Newton School Come be part of a rocket ship that s creating a massive impact in the world of education! On one side you have over a million college graduates every year with barely 5% employability rates and on the other side, there are thousands of companies struggling to find talent. Newton School aims to bridge this massive gap through its personalized learning platform. We are building an online university and solving the deep problem of the employability of graduates. We have a strong core team consisting of alumni from IITs and IIM, having several years of industry experience in companies like Unacademy, Inmobi, Ola, and Microsoft - among others. On this mission, we are backed by some of the most respected investors around the world, - RTP Global, Nexus Venture Partners, and a slew of angel investors including CRED s Kunal Shah, Flipkart s Kalyan Krishnamoorthy, Unacademy and Razorpay founders, Udaan s Sujeet Kumar among others. Role Overview: We re seeking a proactive and driven Operations Associate to take full ownership of our students academic and placement journeys. This isn t a traditional support role its a strategic position where youll lead student cohorts, ensuring their success across both learning milestones and career outcomes. You ll be empowered to make decisions, solve problems, and work cross-functionally to elevate student experiences and results. Key Responsibilities: Driving Student Success: Monitor and improve key performance indicators such as attendance, assignment completion, contest participation, and project delivery. Implement structured interventions to keep batches on track and thriving. Student Engagement & Support: Use insights into student behavior and psychology to uncover obstacles and motivators. Provide timely guidance to encourage well-rounded progress. Balanced Student Management: Effectively manage student expectations using a mix of empathy and assertiveness. Maintain discipline while nurturing motivation. End-to-End Placement Coordination: Lead students through their entire placement journey from prep to final offers. Collaborate with placement and grooming teams to ensure successful outcomes. Treat your student batch as your own business unit, owning their career success. Cross-Functional Collaboration: Partner with teams across product, marketing, and academics to advocate for student needs and drive improvements. Represent student voices in planning and strategy sessions. Communication & Execution: Clearly communicate plans, influence stakeholders, and drive initiatives to execution. Keep students and teams aligned with goals and expectations. Data-Driven Decision Making: Analyze student and cohort data to forecast challenges, identify trends, and implement scalable solutions. What We re Looking For: Experience & Education: 1-3 years of relevant experience in operations, program management, consulting, or customer-facing roles. Graduate from a Tier 1/2/3 college. Technical Skills: Proficiency in Excel for data analysis and reporting. Basic knowledge of SQL for independent data extraction. About Newton School Come be part of a rocket ship that s creating a massive impact in the world of education! ...

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together Primary Responsibilities: Gather and analyze requirements for clinical data conversion projects Collaborate with clients and vendors to define project scope, timelines, and deliverables Prepare and transform clinical data for conversion activities Address and resolve data-related issues reported by clients Develop and maintain documentation and specifications for data conversion processes Monitor project progress and ensure timely completion of milestones Troubleshoot common database issues and provide technical support Ensure compliance with US healthcare regulations and standards Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Familiarity with US healthcare systems and regulations Knowledge of standard EHR/EMR clinical data workflows Understanding of healthcare clinical dictionaries Proficiency in EHR database architecture and data extraction/transformation using MS SQL Server Solid knowledge of stored procedures, triggers, and functions Proven excellent problem-solving and troubleshooting skills Solid communication and collaboration abilities

Giorgi Global Holdings, Inc. ( GGH ) is a privately held, diversified consumer products/packaging company with approximately 11,000 employees and operations in 20 countries. GGH consists of four US based companies ( The Giorgi Companies ) and one global packaging company ( CANPACK ). GGH has embarked on a transformation journey to become a digital, technology enabled, customer-centric, data and insights-driven organization. This transformation is evolving our business, strategy, core operations and IT solutions. As an ETL Developer, you will be an integral part of our Data and Analytics team, working closely with the ETL Architect and other developers to design, develop, and maintain efficient data integration and transformation solutions. We are looking for a highly skilled ETL Developer with a deep understanding of ETL processes and data warehousing. The ideal candidate is passionate about optimizing data extraction, transformation, and loading workflows, ensuring high performance, accuracy, and scalability to support business intelligence initiatives. What you will do: 1. Design, develop, test and maintain ETL processes and data pipelines to support data integration and transformation needs. 2. Continuously improve ETL performance and reliability through best practices and optimization techniques. 3. Develop and implement data validation and quality checks to ensure the integrity and consistency of data. 4. Collaborate with ETL Architect, Data Engineers, and Business Intelligence teams to understand business requirements and translate them into technical solutions. 5. Monitor, troubleshoot, and resolve ETL job failures, performance bottlenecks, and data discrepancies. 6. Proactively identify and resolve ETL-related issues, minimizing impact on business operations. 7. Contribute to documentation, training, and knowledge sharing to enhance team capabilities. 8. Communicate progress and challenges clearly to both technical and non-technical teams Essential Requirements: Bachelor s or master s degree in information technology, Computer Science, or a related field. 3-5 years of relevant experience. Power-BI, Tabular Editor/Dax Studio, ALM/Github/Azure Devops skills Exposure to SAP Systems/Modules like SD, MD, etc. to understand functional data., Exposure to MS Fbric, MS Azure Synapse Analytics Competencies needed: - Hands-on experience with ETL development and data integration for large-scale systems - Experience with platforms such as Synapse Analytics, Azure Data Factory, Fabric, Redshift or Databricks - A solid understanding of data warehousing and ETL processes - Advanced SQL and PL/SQL skills such as query optimization, complex joins, window functions - Expertise in Python (pySpark) programming with a focus on data manipulation and analysis - Experience with Azure DevOps and CI/CD process - Excellent problem-solving and analytical skills - Experience in creating post-implementation documentation - Strong team collaboration skills - Attention to detail and a commitment to quality Strong interpersonal skills including analytical thinking, creativity, organizational abilities, high commitment, initiative in task execution, and a fast-learning capability for understanding IT concepts If you are a current CANPACK employee, please apply through your Workday account . CANPACK Group is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, age, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by law or not related to job requirements, unless such distinction is required by law.

Giorgi Global Holdings, Inc. ( GGH ) is a privately held, diversified consumer products/packaging company with approximately 11,000 employees and operations in 20 countries. GGH consists of four US based companies ( The Giorgi Companies ) and one global packaging company ( CANPACK ). GGH has embarked on a transformation journey to become a digital, technology enabled, customer-centric, data and insights-driven organization. This transformation is evolving our business, strategy, core operations and IT solutions. As an ETL Developer, you will be an integral part of our Data and Analytics team, working closely with the ETL Architect and other developers to design, develop, and maintain efficient data integration and transformation solutions. We are looking for a highly skilled ETL Developer with a deep understanding of ETL processes and data warehousing. The ideal candidate is passionate about optimizing data extraction, transformation, and loading workflows, ensuring high performance, accuracy, and scalability to support business intelligence initiatives. What you will do: 1. Design, develop, test and maintain ETL processes and data pipelines to support data integration and transformation needs. 2. Continuously improve ETL performance and reliability through best practices and optimization techniques. 3. Develop and implement data validation and quality checks to ensure the integrity and consistency of data. 4. Collaborate with ETL Architect, Data Engineers, and Business Intelligence teams to understand business requirements and translate them into technical solutions. 5. Monitor, troubleshoot, and resolve ETL job failures, performance bottlenecks, and data discrepancies. 6. Proactively identify and resolve ETL-related issues, minimizing impact on business operations. 7. Contribute to documentation, training, and knowledge sharing to enhance team capabilities. 8. Communicate progress and challenges clearly to both technical and non-technical teams Essential Requirements: Bachelor s or master s degree in information technology, Computer Science, or a related field. 3-5 years of relevant experience. Power-BI, Tabular Editor/Dax Studio, ALM/Github/Azure Devops skills Exposure to SAP Systems/Modules like SD, MD, etc. to understand functional data., Exposure to MS Fbric, MS Azure Synapse Analytics Competencies needed: - Hands-on experience with ETL development and data integration for large-scale systems - Experience with platforms such as Synapse Analytics, Azure Data Factory, Fabric, Redshift or Databricks - A solid understanding of data warehousing and ETL processes - Advanced SQL and PL/SQL skills such as query optimization, complex joins, window functions - Expertise in Python (pySpark) programming with a focus on data manipulation and analysis - Experience with Azure DevOps and CI/CD process - Excellent problem-solving and analytical skills - Experience in creating post-implementation documentation - Strong team collaboration skills - Attention to detail and a commitment to quality Strong interpersonal skills including analytical thinking, creativity, organizational abilities, high commitment, initiative in task execution, and a fast-learning capability for understanding IT concepts If you are a current CANPACK employee, please apply through your Workday account .

At Cotality, we are driven by a single mission to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society. Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; its a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, were working together to set the pace for unlocking new possibilities that better serve the property industry. Job Description: In India, we operate as Next Gear India Private Limited, a fully-owned subsidiary of Cotality with offices in Kolkata, West Bengal, and Noida, Uttar Pradesh. Next Gear India Private Limited plays a vital role in Cotalitys Product Development capabilities, focusing on creating and delivering innovative solutions for the Property & Casualty (P&C) Insurance and Property Restoration industries. While Next Gear India Private Limited operates under its own registered name in India, we are seamlessly integrated into the Cotality family, sharing the same commitment to innovation, quality, and client success. When you join Next Gear India Private Limited, you become part of the global Cotality team. Together, we shape the future of property insights and analytics, contributing to a smarter and more resilient property ecosystem through cutting-edge technology and insights. Company Description At Cotality, we are driven by a single mission to make the property industry faster, smarter, and more people-centric. CoreLogic is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity, and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society. Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; its a place where you can collaborate, feel valued, develop skills, and directly impact the insurance marketplace. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, were working together to set the pace for unlocking new possibilities that better serve the property insurance and restoration industry. Regular working hours will be from 12noon to 9pm IST It will be Hybrid work where the team will need to be in the office for the first half of the day for 3 days a week and they can leave in the afternoon around 3pm or 4pm and log back at home for the remaining hours (same as other local teams). Training will be provided about the product. Description We are seeking a highly skilled Data Analyst to join our Analytics Support team to serve customers across the property insurance and restoration industries. As a data analyst you will play a crucial role in developing methods and models to inform data-driven decision processes resulting in improved business performance for both internal and external stakeholder groups. You will be responsible for interpreting complex data sets and providing valuable insights to enhance the value of data assets. The successful candidate will have a strong understanding of data mining techniques, methods of statistical analysis, and data visualization tools. This position offers an exciting opportunity to work in a dynamic environment, collaborating with cross-functional teams to support decision processes that will guide the respective industries into the future. Responsibilities Collaborate with cross-functional teams to understand and document requirements for analytics products. Serve as the primary point of contact for new data/analytics requests and support for customers. Act as the domain expert and voice of the customer to internal stakeholders during the analytics development process. Develop and maintain an inventory of data, reporting, and analytic product deliverables for assigned customers. Work with customer success teams to establish and maintain appropriate customer expectations for analytics deliverables. Create and manage change order tickets on behalf of customers within internal frameworks. Ensure timely delivery of assets to customers and aid in the development of internal processes for the delivery of analytics deliverables. Work with IT/Infrastructure teams to provide customer access to assets and support internal audit processes to ensure data security. Create and optimize complex SQL queries for data extraction, transformation, and aggregation. Develop and maintain data models, dashboards, and reports to visualize data and track key performance metrics. Conduct validation checks and implement error handling mechanisms to ensure data reliability. Collaborate closely with stakeholders to align project goals with business needs and perform ad-hoc analysis to provide actionable recommendations. Analyze large and complex datasets to identify trends, patterns, and insights, and present findings and recommendations to stakeholders in a clear and concise manner. Job Qualifications: 5+ years experience of building PowerBI dashboards, data modeling and analysis Bachelor s degree in computer science, data science, statistics, or a related field is preferred. Advanced knowledge of data analysis tools such as Power Query, Excel, and Power BI. Demonstrated expertise in Power BI creating reports and dashboards, including the ability to connect to various data sources, prepare and model data, and create visualizations. Excellent visual and storytelling skills with data. Experience with Power Query for importing, transforming, and shaping data. Expert knowledge of DAX for creating calculated columns and measures to meet report-specific requirements. Proficiency in SQL with the ability to write complex queries and optimize performance. Experience with ETL processes, data pipeline and automation a plus. Strong analytical and problem-solving skills Excellent attention to detail and the ability to work with large datasets. Effective communication skills, both written and verbal. Ability to work independently and collaborate in a team environment. Knowledge of property insurance industry will be a plus. Cotalitys Diversity Commitment: Cotality is fully committed to employing a diverse workforce and creating an inclusive work environment that embraces everyone s unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. We are better together when we support and recognize our differences. Equal Opportunity Employer Statement: Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, record of offences, age, marital status, family status or disability. Cotality maintains a Drug-Free Workplace. Please apply on our website for consideration. Privacy Policy Global Applicant Privacy Policy By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide. Connect with us on social media! Click on the quicklinks below to find out more about our company and associates

Join us as a Data & Analytics Analyst Take on a new challenge in Data & Analytics and help us shape the future of our business You ll take accountability for the analysis of complex data to identify business issues and opportunities, and supporting the delivery of high quality business solutions Were committed to mapping a career path that works for you, with a focus on helping you build new skills and engage with the latest ideas and technologies in data analytics Were offering this role at vice president level What youll do As a Data & Analytics Analyst, you ll be driving the production of high quality analytical input to support the development and implementation of innovative processes and problem resolution. You ll be capturing, validating and documenting business and data requirements, making sure they are in line with key strategic principles. We ll look to you to interrogate, interpret and visualise large volumes of data to identify, support and challenge business opportunities and identify solutions. You ll also be: Performing data extraction, storage, manipulation, processing and analysis Conducting and supporting options analysis, identifying the most appropriate solution Accountable for the full traceability and linkage of business requirements of analytics outputs Seeking opportunities to challenge and improve current business processes, ensuring the best result for the customer Creating and executing quality assurance at various stages of the project in order to validate the analysis and to ensure data quality, identify data inconsistencies, and resolve as needed Strong sense of ownership with a focus on delivering high-quality outcomes Exceptional attention to detail Emphasis on measurable outcomes and impact of work Expertise in data analytics and reporting The skills youll need You ll need a background in business analysis tools and techniques, along with the ability to influence through communications tailored to a specific audience. Additionally, you ll need the ability to use core technical skills. You ll also demonstrate: Clear and effective communication Proficiency in SQL, and tools such as Excel and Power BI Experience in Informatica, Snowflake or others Responsible for performance metrics and data solutions across the entire data architecture team Skilled in data visualization, report generation and presentation to both technical and business audiences Over 15 years of professional experience Hours 45 Job Posting Closing Date: 23/06/2025

Note: Please don't apply if you do not have at least 3 years of Scrapy experience. We are seeking a highly experienced Web Scraping Expert specialising in Scrapy-based web scraping and large-scale data extraction. This role is focused on building and optimizing web crawlers, handling anti-scraping measures, and ensuring efficient data pipelines for structured data collection. The ideal candidate will have 5+ years of hands-on experience developing Scrapy-based scraping solutions, implementing advanced evasion techniques, and managing high-volume web data extraction. You will collaborate with a cross-functional team to design, implement, and optimize scalable scraping systems that deliver high-quality, structured data for critical business needs. Key Responsibilities Scrapy-based Web Scraping Development Develop and maintain scalable web crawlers using Scrapy to extract structured data from diverse sources. Optimize Scrapy spiders for efficiency, reliability, and speed while minimizing detection risks. Handle dynamic content using middlewares, browser-based scraping (Playwright/Selenium), and API integrations. Implement proxy rotation, user-agent switching, and CAPTCHA solving techniques to bypass anti-bot measures. Advanced Anti-Scraping Evasion Techniques Utilize AI-driven approaches to adapt to bot detection and prevent blocks. Implement headless browser automation and request-mimicking strategies to mimic human behavior. Data Processing & Pipeline Management Extract, clean, and structure large-scale web data into structured formats like JSON, CSV, and databases. Optimize Scrapy pipelines for high-speed data processing and storage in MongoDB, PostgreSQL, or cloud storage (AWS S3). Code Quality & Performance Optimization Write clean, well-structured, and maintainable Python code for scraping solutions. Implement automated testing for data accuracy and scraper reliability. Continuously improve crawler efficiency by minimizing IP bans, request delays, and resource consumption. Required Skills and Experience Technical Expertise 5+ years of professional experience in Python development with a focus on web scraping. Proficiency in using Scrapy based scraping Strong understanding of HTML, CSS, JavaScript, and browser behavior. Experience with Docker will be a plus Expertise in handling APIs (RESTful and GraphQL) for data extraction. Proficiency in database systems like MongoDB, PostgreSQL Strong knowledge of version control systems like Git and collaboration platforms like GitHub. Key Attributes Strong problem-solving and analytical skills, with a focus on efficient solutions for complex scraping challenges. Excellent communication skills, both written and verbal. A passion for data and a keen eye for detail Why Join Us? Work on cutting-edge scraping technologies and AI-driven solutions. Collaborate with a team of talented professionals in a growth-driven environment. Opportunity to influence the development of data-driven business strategies through advanced scraping techniques. Competitive compensation and benefits.

Job Summary: We are seeking a highly skilled and detail-oriented Assistant Manager - MIS & Workflow to oversee the management information systems (MIS) and streamline workflows across various departments. The ideal candidate will play a pivotal role in improving operational efficiency, ensuring the accuracy of reports, and fostering seamless communication and data flow within the organization. Key Responsibilities: MIS Management: Oversee the development, implementation, and maintenance of Management Information Systems (MIS) across the organization. Ensure timely and accurate reporting of key business metrics, KPIs, and performance indicators to senior management. Generate ad-hoc and scheduled reports, analyze trends, and provide actionable insights to management. Collaborate with different departments to ensure data accuracy and consistency across systems. Workflow Optimization: Design, implement, and optimize workflows to improve operational efficiency and reduce bottlenecks. Identify areas for process improvements and recommend solutions to streamline daily operations. Work closely with department heads to assess current workflows and propose automation solutions where applicable. Create and maintain standard operating procedures (SOPs) for business processes. Data Analysis & Reporting: Analyze data patterns and trends to derive actionable insights for business decisions. Regularly review system outputs to ensure accuracy and consistency. Prepare and present periodic reports for senior management, highlighting key operational metrics and performance. Technology Integration & Improvement: Stay updated with the latest trends and technologies in MIS and workflow management. Identify opportunities for system upgrades, integrations, and new software solutions to improve performance and efficiency. Oversee the integration of new tools or systems to improve workflow and data management. Qualifications & Requirements: Bachelors degree in Business Administration, Computer Science, Engineering, or a related field. A Masters degree is a plus. years of experience in MIS management, workflow optimization, or a similar role. Strong proficiency in MIS software and tools (e.g., Excel, Power BI, Tableau, ERP systems). Experience with workflow automation tools and process management. Strong analytical and problem-solving skills, with a focus on data integrity and business intelligence. Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams.

Hi, We are hiring for the ITES Company for ISC Analytics Role. Overview The ISC Analytics team plays a key role in delivering business intelligence solutions that support data-driven decision-making across sourcing, procurement, and supply chain functions. It focuses on delivering data-driven insights through the development of Tableau dashboards and SAP Ariba reports to support sourcing and procurement functions. It involves end-to-end BI project management, including data extraction, cleaning, and visualization using tools like SQL, Tableau Prep, and S/4HANA. The role requires strong collaboration with global stakeholders, deep domain knowledge in supply chain and procurement, and a continuous improvement mindset to optimize reporting solutions for better business outcomes. Key Skills : a) Any Graduate b) Minimum 3+ years of experience in developing Tableau dashboards c) Minimum 3+ years of experience in database management and SQL programming experience including creating tables, views, stored procedures, and user-defined functions To Apply, WhatsApp 'Hi' @ 9151555419 Follow the Steps Below: >Click on Start option to Apply and fill the details >Select the location as Other ( to get multiple location option ) a)To Apply for above Job Role ( Bangalore) Type : Job Code # 145 b)To Apply for above Job Role ( Mumbai) Type : Job Code # 146 Job description: Experience working across organizations and cross-functional groups to ensure project coordination, implementation, and completion. Experience in developing Tableau dashboards using multiple data sources as per the business requirement (Power BI experience is not required but good to have). Experience in SAP Ariba Procurement reporting and S/4HANA. Experience in database management and SQL programming experience including creating tables, views, stored procedures, and user-defined functions. Experience with data exploration, data cleaning (primarily using Tableau Prep), data analysis, data visualization, and data mining. Domain knowledge in the supply chain industry and /or sourcing and procurement is required. Strong communication, project management and team building skills. Soft skills Excellent MS Office skills, analytical skills, presentation skills. Responsibilities : Design, develop, and maintain automated Tableau dashboards and complex Ariba reports that provide critical business insights to business stakeholders. Lead business intelligence projects from inception to completion, including defining scope, business requirements, timelines and deliverables. Monitor project progress, adjust as necessary and communicate updates to stakeholders. Conduct deep dive analyses on business problems and provide recommendations based on data. Develop and implement data pipelines and end-user data tools that empower non-technical business partners to access and analyse data independently. Provide dashboard access and end-user support for Tableau dashboards and Ariba reports. Operate with initiative and a continuous improvement mindset by constantly looking for opportunities to innovate, create, refine, and optimize solutions with the goal of simpler, faster, and better. Fluent in extracting, implementing and interpreting large data sets. Experience in supporting global clients. Skills / Requirements: Excellent analytical and problem-solving abilities. Excellent interpersonal and collaborative skills. Ability to engage and develop strong working relationships with business stakeholders in order to anticipate and understand key business requirements through multiple discussions. Proficiency in SQL and experience with relational database management systems. Ability to work independently and within a team environment. Ability to manage multiple projects simultaneously and work under pressure to meet deadlines. Knowledge of best practices in data visualization and business intelligence. Experience in developing a large number of Tableau dashboards in production in the last 2 years is required. Contributes to the effectiveness of the team by working closely with colleagues by sharing information, skills, and responsibilities.

We are seeking a highly motivated and detail-oriented Research Ops Intern- Clinical Data to join our dynamic team. The ideal candidate will have a strong background in oncology, the ability to understand and interpret medical terminology from Electronic Health Records (EHR) and medical reports, and the expertise to extract and analyze data from patient notes. The candidate must have a background of clinical research and is able to comprehend clinical trials. Also have good knowledge about patient pre-screening, enrolling participants in oncology clinical trials . The role requires proficiency in Google Sheets and Excel, along with the ability to correlate medical data to meet specific requirements. Duration: 3 months Key Responsibilities: Clinical Trials Acumen: Interpret the Inclusion and Exclusion criteria outlined in the clinical trials on clinicaltrials.gov and in study protocols, and use this information to assess patient eligibility for clinical trials. Data Extraction and Curation: Extract relevant data from patient notes, EHRs, patient information, medical history, laboratory/pathology results, diagnoses, and treatments, to support oncology research and clinical decision-making. Medical Terminology: Interpret and understand complex medical terms, especially those related to oncology to ensure accurate data extraction and analysis. Data Management: Maintain and manage datasets using Google Sheets and Excel, ensuring data accuracy and integrity. Correlation and Interpretation: Analyze medical data to identify patterns and correlations that align with project requirements. Quality Assurance: Conduct regular quality checks and validation of extracted data to ensure consistency and accuracy. Patients Pre-screening: Knowledge of pre-screening patients before enrolling to clinical trials would be required to curate and verify clinical trials on the companys platform Qualifications: Bachelors/Masters degree in a relevant field such as Clinical Research, Health Information Management, Medical Informatics, Oncology, or a related discipline. 6 months of experience in clinical research/oncology research/ clinical data abstraction/ clinical data curation. Candidates with Clinical Trial Certification will be preferred. Proficiency in Google Sheets and Excel; familiarity with data extraction tools and EHR systems. Strong understanding of oncology, medical, and pathology terminologies. Excellent analytical and problem-solving abilities, with a keen eye for detail. Strong written and verbal communication skills, with the ability to present complex data in a clear and concise manner. Ability to manage multiple tasks and projects simultaneously, with strong organizational and time-management skills. Ability to work effectively both independently and as part of a multidisciplinary team.

We are seeking a highly motivated and detail-oriented Research Ops Intern- Clinical Data to join our dynamic team. The ideal candidate will have a strong background in oncology, the ability to understand and interpret medical terminology from Electronic Health Records (EHR) and medical reports, and the expertise to extract and analyze data from patient notes. The candidate must have a background of clinical research and is able to comprehend clinical trials. Also have good knowledge about patient pre-screening, enrolling participants in oncology clinical trials . The role requires proficiency in Google Sheets and Excel, along with the ability to correlate medical data to meet specific requirements. Duration: 3 months Key Responsibilities: Clinical Trials Acumen: Interpret the Inclusion and Exclusion criteria outlined in the clinical trials on clinicaltrials.gov and in study protocols, and use this information to assess patient eligibility for clinical trials. Data Extraction and Curation: Extract relevant data from patient notes, EHRs, patient information, medical history, laboratory/pathology results, diagnoses, and treatments, to support oncology research and clinical decision-making. Medical Terminology: Interpret and understand complex medical terms, especially those related to oncology to ensure accurate data extraction and analysis. Data Management: Maintain and manage datasets using Google Sheets and Excel, ensuring data accuracy and integrity. Correlation and Interpretation: Analyze medical data to identify patterns and correlations that align with project requirements. Quality Assurance: Conduct regular quality checks and validation of extracted data to ensure consistency and accuracy. Patients Pre-screening: Knowledge of pre-screening patients before enrolling to clinical trials would be required to curate and verify clinical trials on the companys platform Qualifications: Bachelors/Masters degree in a relevant field such as Clinical Research, Health Information Management, Medical Informatics, Oncology, or a related discipline. 6 months of experience in clinical research/oncology research/ clinical data abstraction/ clinical data curation. Candidates with Clinical Trial Certification will be preferred. Proficiency in Google Sheets and Excel; familiarity with data extraction tools and EHR systems. Strong understanding of oncology, medical, and pathology terminologies. Excellent analytical and problem-solving abilities, with a keen eye for detail. Strong written and verbal communication skills, with the ability to present complex data in a clear and concise manner. Ability to manage multiple tasks and projects simultaneously, with strong organizational and time-management skills. Ability to work effectively both independently and as part of a multidisciplinary team.

We are seeking a highly motivated and detail-oriented Research Ops Intern- Clinical Data to join our dynamic team. The ideal candidate will have a strong background in oncology, the ability to understand and interpret medical terminology from Electronic Health Records (EHR) and medical reports, and the expertise to extract and analyze data from patient notes. The candidate must have a background of clinical research and is able to comprehend clinical trials. Also have good knowledge about patient pre-screening, enrolling participants in oncology clinical trials . The role requires proficiency in Google Sheets and Excel, along with the ability to correlate medical data to meet specific requirements. Duration: 3 months Key Responsibilities: Clinical Trials Acumen: Interpret the Inclusion and Exclusion criteria outlined in the clinical trials on clinicaltrials.gov and in study protocols, and use this information to assess patient eligibility for clinical trials. Data Extraction and Curation: Extract relevant data from patient notes, EHRs, patient information, medical history, laboratory/pathology results, diagnoses, and treatments, to support oncology research and clinical decision-making. Medical Terminology: Interpret and understand complex medical terms, especially those related to oncology to ensure accurate data extraction and analysis. Data Management: Maintain and manage datasets using Google Sheets and Excel, ensuring data accuracy and integrity. Correlation and Interpretation: Analyze medical data to identify patterns and correlations that align with project requirements. Quality Assurance: Conduct regular quality checks and validation of extracted data to ensure consistency and accuracy. Patients Pre-screening: Knowledge of pre-screening patients before enrolling to clinical trials would be required to curate and verify clinical trials on the companys platform Qualifications: Bachelors/Masters degree in a relevant field such as Clinical Research, Health Information Management, Medical Informatics, Oncology, or a related discipline. 6 months of experience in clinical research/oncology research/ clinical data abstraction/ clinical data curation. Candidates with Clinical Trial Certification will be preferred. Proficiency in Google Sheets and Excel; familiarity with data extraction tools and EHR systems. Strong understanding of oncology, medical, and pathology terminologies. Excellent analytical and problem-solving abilities, with a keen eye for detail. Strong written and verbal communication skills, with the ability to present complex data in a clear and concise manner. Ability to manage multiple tasks and projects simultaneously, with strong organizational and time-management skills. Ability to work effectively both independently and as part of a multidisciplinary team. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, India.

1. Adverse Event (AE) Extraction & Analysis Lead and help improve how we find and extract AE data using rules and AI. Check AE data carefully to make sure its accurate, relevant, and follows rules like DORA Work with data teams to keep making the AE system better using feedback and verified data. Look at AI results to find mistakes and suggest fixes. Create and manage lists and categories to help the system recognize and organize AE information. Learn and document the rules for reporting AEs to stay compliant. 2. Contract Intelligence & Domain Understanding Review contracts to find important details using AI tools and manual checks. Use your knowledge of legal language to help improve contract data extraction. Work with teams to set clear rules for labeling contract data. 3. AI Engine Collaboration Work with AI teams to train and improve language models for AE and contract data. Test models and share feedback to improve accuracy. Help translate business needs into instructions the AI can understand. 4. Product Ownership & Development Support Give feedback to product and engineering teams about how AE and contract tools work. Suggest new features and improvements based on user feedback. Write clear instructions and help test new features and models. 5. Client Engagement & Stakeholder Communication Act as an expert during client meetings to explain AE and contract solutions. Turn clients needs into clear requirements and make sure solutions meet them. Help with client training and documentation. 6. Quality Control & Reporting Review data and AI outputs to ensure quality and compliance. Create reports and dashboards to track progress and find areas to improve. Keep detailed records of processes and model versions. What youll need: AI & Contract Tools: Know how to use contract software and AI tools to review documents, find key parts, track duties, and spot risks. Risk Management: Good at spotting and managing risks in contracts, including service agreements and delivery terms. Problem Solving: Can understand contract language and what it means for business. Able to use data and AI results to find helpful insights. Communication: Skilled at talking and writing clearly with clients, business teams, and technical teams. Teamwork: Works well with different teams, handles multiple clients, and adapts to fast-changing work. Advising: Gives useful advice based on contract data and AI insights, linking work done to business results. Business Sense: Makes good decisions about contract compliance, risks, and costs. Organisation: Good at managing time, setting priorities, and working with teams while keeping quality.

1. Adverse Event (AE) Extraction & Analysis Lead and help improve how we find and extract AE data using rules and AI. Check AE data carefully to make sure it’s accurate, relevant, and follows rules like DORA Work with data teams to keep making the AE system better using feedback and verified data. Look at AI results to find mistakes and suggest fixes. Create and manage lists and categories to help the system recognize and organize AE information. Learn and document the rules for reporting AEs to stay compliant. 2. Contract Intelligence & Domain Understanding Review contracts to find important details using AI tools and manual checks. Use your knowledge of legal language to help improve contract data extraction. Work with teams to set clear rules for labeling contract data. 3. AI Engine Collaboration Work with AI teams to train and improve language models for AE and contract data. Test models and share feedback to improve accuracy. Help translate business needs into instructions the AI can understand. 4. Product Ownership & Development Support Give feedback to product and engineering teams about how AE and contract tools work. Suggest new features and improvements based on user feedback. Write clear instructions and help test new features and models. 5. Client Engagement & Stakeholder Communication Act as an expert during client meetings to explain AE and contract solutions. Turn clients’ needs into clear requirements and make sure solutions meet them. Help with client training and documentation. 6. Quality Control & Reporting Review data and AI outputs to ensure quality and compliance. Create reports and dashboards to track progress and find areas to improve. Keep detailed records of processes and model versions. What you’ll need: AI & Contract Tools: Know how to use contract software and AI tools to review documents, find key parts, track duties, and spot risks. Risk Management: Good at spotting and managing risks in contracts, including service agreements and delivery terms. Problem Solving: Can understand contract language and what it means for business. Able to use data and AI results to find helpful insights. Communication: Skilled at talking and writing clearly with clients, business teams, and technical teams. Teamwork: Works well with different teams, handles multiple clients, and adapts to fast-changing work. Advising: Gives useful advice based on contract data and AI insights, linking work done to business results. Business Sense: Makes good decisions about contract compliance, risks, and costs. Organisation: Good at managing time, setting priorities, and working with teams while keeping quality.

Hi, We are hiring for the ITES Company for the Optimal Data Analyst Role. Overview The Optimal Data Analyst is responsible for leveraging data to generate actionable insights that support strategic decision-making, particularly in supplier negotiations and cost forecasting. The role involves working with large data sets, using statistical methods, programming tools (e.g., SQL, R, Python), and business intelligence platforms like Tableau to identify patterns, trends, and financial opportunities. This position requires strong analytical thinking, problem-solving abilities, and collaboration across technical, operational, and supply chain teams. The analyst plays a key role in translating complex data into meaningful business insights, aligning analytical efforts with high-level business objectives, and driving value through data-informed negotiation support. Key Skills: a) Bachelor's degree in discipline such as Supply Chain, Economic, Manufacturing, Technology, or Data Analytics b) Minimum 3 years of experience in data analysis with understanding of statistical methods and strong analytical skills To Apply, WhatsApp 'Hi' @ 9151555419 Follow the Steps Below: >Click on Start option to Apply and fill the details >Select the location as Other ( to get multiple location option ) a)To Apply for above Job Role ( Bangalore) Type : Job Code # 20 b)To Apply for above Job Role ( Mumbai) Type : Job Code # 21 Job Description Bachelor's degree in discipline such as Supply Chain, Economic, Manufacturing, Technology, or Data Analytics to bring diversity and different perspectives Minimum 3 years of experience in data analysis with understanding of statistical methods and strong analytical skills Experience with database management, programming, statistical modelling and/or business intelligence (SQL, R, Python, JMP, Tableau, etc.) Experienced with and proficient in Microsoft Office Suite Lateral and logical thinking. The ability to think creatively and outside the box to solve unique and challenging problems Motivated self-starter Strong problem-solving tendencies Willing and able to push boundaries Goal-oriented, with a focus on utilizing data for insight Able to multi-task, prioritize and project manage independently in an environment with competing priorities Experience working in a technical, operational or manufacturing environment with the ability to translate that knowledge into financial opportunities Diverse functional experience, with a desire to use data in negotiations Excellent communication skills and a proven history of excelling in a collaborative environment as a key team player Working closely with technical teams, and other organizations to understand the product and data Finding and interpreting large data sets to help predict costs Learning and understanding Boeing's data resources and knowing when, how, and which to use and which not to use. Identifying, analyzing, and solve systematic problems, while maintaining focus on the bigger picture Working together with the team to ensure data analysis and developed algorithms can be appropriately applied for negotiation support Ensuring data collected, analyzed and presented result in actionable insights for negotiation support Engaging and participating in negotiation support, to bolster the use of data analytics within supplier negotiations Understanding high-level business objectives and continually align those objectives to meet needs of the business.

Job Title: Junior Analyst Location: Mumbai Job Description We are seeking a detail-oriented and motivated Junior Analyst to join our team. The ideal candidate will be responsible for analyzing data, generating insights. This position requires collaboration with cross-functional team members, strong communication skills, and the ability to present findings effectively. Primary Responsibilities Conducting Meetings: Facilitate meetings and presentations to communicate findings and share insights effectively with team members and management. Data Reporting: Use internal data to create dashboards in Tableau, utilizing SQL. Insight Communication: Collaborate closely with cross-functional team members to ensure alignment on insights, plans, and strategies. Quality Assurance: Ensure data reports meet stringent quality standards to support reliable and accurate business decisions. Skills & Requirements Technical Skills: - Proficiency in Excel (advanced level) - Experience with Tableau for data visualization - Strong command of SQL for data extraction Analytical Skills: - Knowledge of market research methodologies - Basic understanding of statistics and analysis - Experience in data mining and visualization Soft Skills: - Effective communication and interpersonal skills - Strong problem-solving abilities Qualifications Bachelors degree in Statistics or a related field (or equivalent work experience) Expertise in Tableau, Excel, and SQL Previous Experience in both quantitative and qualitative research

Work Responsibilities The Palantir Developer will be responsible for designing and implementing modern data architecture solutions that facilitate enterprise-level transformation. Key responsibilities include: Data Architecture Design: Create and optimize modern data architectures that support advanced analytics and operational requirements. Pipelining: Develop and maintain efficient data pipelines using Palantir Foundry to ensure seamless data flow and accessibility for analytics. Advanced Analytics: Create and deploy advanced analytics products that provide actionable insights to stakeholders, enhancing decision-making processes. Artificial Intelligence Integration: Collaborate with data scientists to incorporate AI and machine learning models into data pipelines and analytics products, enabling predictive capabilities. Agentic AI Exposure: Leverage knowledge of Agentic AI to develop systems that can autonomously make decisions and take actions based on data insights, enhancing operational capabilities. Collaboration: Work closely with cross-functional teams, including data scientists, engineers, and business analysts, to gather requirements and deliver tailored solutions. Cloud Technologies: Utilize cloud-based tools and services to enhance scalability, security, and performance of data solutions. Best Practices: Implement best practices for data governance, quality, and security to maintain data integrity and compliance with relevant regulations. Continuous Improvement: Identify opportunities for process improvements and automation to enhance operational efficiency within data ecosystems. Documentation: Maintain comprehensive documentation of data architecture designs, pipeline configurations, and analytics processes. The Team Artificial Intelligence & Data Engineering: In this age of disruption, organizations need to embrace data-driven decision-making to Deliver Enterprise Value. Our Team Leverages Data, Analytics, Robotics, And Cognitive Technologies To Uncover Insights And Drive Transformation In Business. Key Initiatives Include Data Ecosystem Implementation: Collaborate with clients to implement large-scale data ecosystems that integrate structured and unstructured data for comprehensive insights. Predictive Analytics: Utilize machine learning and predictive modeling techniques to derive actionable insights and predict future scenarios. AI Solutions Development: Work on developing AI-driven solutions that enhance data analytics capabilities, including natural language processing (NLP), computer vision, and recommendation systems. Agentic AI Development: Engage in projects that involve the development and deployment of Agentic AI systems capable of autonomous decision-making and action-taking based on real-time data. Operational Efficiency: Drive operational efficiency by utilizing automation and cognitive techniques for data management, ensuring timely and accurate reporting. Client Engagement: Engage with clients to understand their unique challenges and tailor solutions that align with their strategic objectives. Innovative Solutions: Research and implement innovative technologies and methodologies that enhance data analytics capabilities and drive business value. Training and Support: Provide training and support to clients on data tools and platforms to ensure they can maximize the value of their data assets. Qualifications Required: Education: Bachelors degree in Computer Science, Data Science, Engineering, or a related field. Experience 3+ years of hands-on experience in data extraction and manipulation using various tools and programming languages. 3+ years of experience in engineering and developing Palantir pipelines, with a strong understanding of data integration techniques. 3+ years of experience collaborating with Palantir Foundry data scientists and engineers on complex data projects. 2+ years of experience working with AI and machine learning technologies, including model development, deployment, and performance tuning. Familiarity with Agentic AI concepts and applications, including experience developing or working with autonomous systems is a plus. Technical Skills: Proficiency in programming languages such as Python, SQL, or R, along with experience in statistical analysis and machine learning techniques. Problem-Solving: Strong analytical and problem-solving skills, with the ability to think critically and creatively. Communication: Excellent interpersonal and communication skills to effectively convey technical concepts to non-technical stakeholders.

Summary To enhance user profiling and risk assessment, we are building web crawlers to collect relevant user data from third-party sources, forums, and the dark web. We are seeking a Senior Web Crawler & Data Extraction Engineer to design and implement these data collection solutions. Job Responsibilities Design, develop, and maintain web crawlers and scrapers to extract data from open web sources, forums, marketplaces, and the dark web. Implement data extraction pipelines that aggregate, clean, and structure data for fraud detection and risk profiling. Use Tor, VPNs, and other anonymization techniques to safely crawl the dark web while avoiding detection. Develop real-time monitoring solutions for tracking fraudulent activities, data breaches, and cybercrime discussions. Optimize crawling speed and ensure compliance with website terms of service, ethical standards, and legal frameworks. Integrate extracted data with fraud detection models, risk scoring algorithms, and cybersecurity intelligence tools. Work with data scientists and security analysts to develop threat intelligence dashboards from collected data. Implement anti-bot detection evasion techniques and handle CAPTCHAs using AI-driven solvers where necessary. Stay updated on OSINT (Open-Source Intelligence) techniques, web scraping best practices, and cybersecurity trends. Requirements 5+ years of experience in web crawling, data scraping, or cybersecurity data extraction. Strong proficiency in Python, Scrapy, Selenium, BeautifulSoup, Puppeteer, or similar frameworks. Experience working with Tor, proxies, and VPNs for anonymous web scraping. Deep understanding of HTTP protocols, web security, and bot detection mechanisms. Experience parsing structured and unstructured data from JSON, XML, and web pages. Strong knowledge of database management (SQL, NoSQL) for storing large-scale crawled data. Familiarity with AI/ML-based fraud detection techniques and data classification methods. Experience working with cybersecurity intelligence sources, dark web monitoring, and OSINT tools. Ability to implement scalable, distributed web crawling architectures. Knowledge of data privacy regulations (GDPR, CCPA) and ethical data collection practices. Nice to Have Experience in fintech, fraud detection, or threat intelligence. Knowledge of natural language processing (NLP) for analyzing cybercrime discussions. Familiarity with machine learning-driven anomaly detection for fraud prevention. Hands-on experience with cloud-based big data solutions (AWS, GCP, Azure, Elasticsearch, Kafka).

Req ID: 322971 We are currently seeking a BODS Developer to join our team in Hyderabad, Telangana (IN-TG), India (IN). SAP BODS Developer Position Overview Understand and execute data migration blueprints (migration concepts, transformation rules, mappings, selection criteria) Understand and contribute to the documentation of the data mapping specifications, conversion rules, technical design specifications as required Build the conversion processes and associated programs that will migrate the data per the design and conversion rules that have been signed-off by the client Execution of all data migration technical steps (extract, transform & load) as well as Defect Management and Issue Resolution Perform data load activities for each mock load, cutover simulation and production deployment identified in L1 plan into environments identified Provide technical support, defect management, and issue resolution during all testing cycles, including Mock Data Load cycles Complete all necessary data migration documentation necessary to support system validation / compliance requirements Support the development of unit and end-to-end data migration test plans and test scripts (including testing for data extraction, transformation, data loading, and data validation) Job 4-6 Yrs. of overall technical experience in SAP BODS with all the SAP BODS application modules (Extract, Transform, Load) 2-4 Yrs. of experience with Data Migration experience with S/4 HANA/ECC Implementations Experience in BODS Designer Components- Projects, Jobs, Workflow, Data Flow, Scripts, Data Stores and Formats Experience in BODS performance tuning techniques using parallel processing (Degree of Parallelism), Multithreading, Partitioning, and Database Throughputs to improve job performance Experience in ETL using SAP BODS and SAP IS with respect to SAP Master / Transaction Data Objects in SAP FICO, SAP SD, SAP MM/WM, SAP Plant Maintenance, SAP Quality Management etc. is desirable Experience with Data Migration using LSMW, IDOCS, LTMC Ability to Debug LTMC errors is highly desirable Night shift will be from 3 PM to 12 AM IST with Work from home option unless otherwise mentioned.

Req ID: 323607 We are currently seeking a Sr BODS Developer to join our team in Hyderabad, Telangana (IN-TG), India (IN). Sr SAP BODS Developer "“ Track Lead Position Overview Understand and execute data migration blueprints (migration concepts, transformation rules, mappings, selection criteria) Understand and contribute to the documentation of the data mapping specifications, conversion rules, technical design specifications as required Build the conversion processes and associated programs that will migrate the data per the design and conversion rules that have been signed-off by the client Execution of all data migration technical steps (extract, transform & load) as well as Defect Management and Issue Resolution Perform data load activities for each mock load, cutover simulation and production deployment identified in L1 plan into environments identified Provide technical support, defect management, and issue resolution during all testing cycles, including Mock Data Load cycles Complete all necessary data migration documentation necessary to support system validation / compliance requirements Support the development of unit and end-to-end data migration test plans and test scripts (including testing for data extraction, transformation, data loading, and data validation) Job 6-8 Yrs. of overall technical experience in SAP BODS with all the SAP BODS application modules (Extract, Transform, Load) 5+ Yrs. of experience with Data Migration experience with S/4 HANA/ECC Implementations Experience in BODS Designer Components- Projects, Jobs, Workflow, Data Flow, Scripts, Data Stores and Formats Experience in BODS performance tuning techniques using parallel processing (Degree of Parallelism), Multithreading, Partitioning, and Database Throughputs to improve job performance Extensive experience in ETL using SAP BODS and SAP IS with respect to SAP Master / Transaction Data Objects in SAP FICO, SAP SD, SAP MM/WM, SAP Plant Maintenance, SAP Quality Management etc. is desirable Experience with Data Migration using LSMW, IDOCS, LTMC Night shift will be from 3 PM to 12 AM IST with Work from home option unless otherwise mentioned.

Skill Expectations Must-Have Skills: Strong hands-on experience in Python development Experience working with Fast API Data migration and data engineering experience (ETL, pipelines, transformations) Experience in web scraping and data extraction techniques Experience working with GCP Good-to-Have / Optional Skills: Exposure to FastAPI Experience or familiarity with GenAI / LLMs Knowledge of testing frameworks (e.g., PyTest) and CI/CD pipelines

Wipro Limited (NYSEWIT, BSE507685, NSEWIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. About The Role Do Research, design, develop, and modify computer vision and machine learning. algorithms and models, leveraging experience with technologies such as Caffe, Torch, or TensorFlow. Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops and prototyping initiatives. Help build a high-impact ML/AI team by supporting recruitment, training and development of team members. Serve as evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations and/or other channels. Knowledge & Abilities- Designing integrations of and tuning machine learning & computer vision algorithms - Research and prototype techniques and algorithms for object detection and recognition - Convolutional neural networks (CNN) for performing image classification and object detection. Familiarity with Embedded Vision Processing systems - Open source tools & platforms - Statistical Modeling, Data Extraction, Analysis, - Construct, train, evaluate and tune neural networks Mandatory Skills: One or more of the following: Java, C++, Python Deep Learning frameworks such as Caffe OR Torch OR TensorFlow, and image/video vision library like OpenCV, Clarafai, Google Cloud Vision etc Supervised & Unsupervised Learning Developed feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, and random forest) on big data computation platform (Hadoop, Spark, HIVE, and Tableau) *One or more of the followingTableau, Hadoop, Spark, HBase, Kafka Experience- 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence - Creation and application of Machine Learning algorithms to a variety of real-world problems with large datasets. Building scalable machine learning systems and data-driven products working with cross functional teams - Working w/ cloud services like AWS, Microsoft, IBM, and Google Cloud - Working w/ one or more of the followingNatural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar Nice to Have- Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering or related technical field or equivalent practical experience Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law Product and Services Sales Manager ? ? ? ? Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.