256 Data Cleaning Jobs - Page 5

As an expert in all aspects of data management and analysis, you will be responsible for converting data into meaningful insights to enable strategic decision-making. Your role will involve leading the end-to-end business intelligence lifecycle, which includes gathering business requirements, data provisioning, modeling, reporting, and insight generation. Key responsibilities include leading data collection, validation, transformation, and analysis from multiple sources, translating complex business problems into data models, sourcing and organizing data using advanced tools, designing custom reference data to support analytical use cases, developing scalable dashboards and reports, applying statistical analysis and predictive modeling techniques, cleaning and transforming raw data, delivering scheduled and ad hoc reports, analyzing campaign performance and user behavior, handling large datasets, and guiding junior analysts. To qualify for this role, you should have a minimum of 5 years of experience in data analysis, reporting, and visualization, strong skills in end-to-end BI development, advanced proficiency in MS Excel, SQL, and data querying, hands-on experience with BI tools like Power BI and Tableau, familiarity with scripting languages like Python or R, numerical aptitude, analytical thinking, attention to detail, effective communication skills, problem-solving abilities, proactive mindset, ownership mentality, and experience in mentoring junior team members.,

Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. The company is dedicated to transforming innovative science into medical solutions that provide value and hope to patients and their families. By focusing on addressing unmet medical needs and upholding ethics and integrity in business practices, Astellas strives to enhance the health of individuals globally. This particular position is based in Bangalore, India, and emphasizes the significance of work-life balance. Astellas believes in creating an optimal work environment that fosters productivity for all employees, promoting success and achievement. The primary purpose and scope of this role involve supporting the Clinical Trial Lead(s) and Clinical Trial Manager(s) in the day-to-day operations, setup, execution, and closure of designated drug trials. These trials may encompass pre/post-POC interventional drug trials, Clinical Pharmacology normal healthy volunteer clinical trials, pre-approval access, and post-marketing regulatory commitment trials, both interventional and non-interventional. The individual in this position is responsible for assisting the clinical trial team in executing trials effectively, collaborating with cross-functional team members and vendors to ensure proper trial processes setup and execution of protocols with operational excellence. It is crucial to adhere to standard operating procedures (SOPs) and guidelines to ensure the quality of trial outcomes. Reporting to the Clinical Operations Functional Manager or Clinical Operations Lead, the key responsibilities and accountabilities of this role include supporting the day-to-day operations of assigned trials, ensuring compliance with project objectives, milestones, and deliverables in accordance with GCP/ICH guidelines and regulatory requirements. Maintaining accurate trial information within tracking systems, contributing to trial plan development, coordinating data cleaning, and participating in site feasibility assessment are integral aspects of the role. The individual is expected to participate in the setup and management of CROs and vendors during trial execution, facilitate TMF setup and maintenance, manage trial documentation, and coordinate investigator and site monitor training. Compliance with regulations, SOPs, and standards throughout trial setup, conduct, and closure is essential. Qualifications for this role include a BA/BS degree or Associates degree with at least 2 years of experience in the healthcare field. Proficiency in interpersonal, written, verbal, presentation, administrative, and computer skills is required, along with fluency in English. General knowledge of drug development and ICH/GCP guidelines is necessary. Minimal travel may be required. Preferred qualifications include an advanced degree. Astellas is committed to ensuring equality of opportunity in all aspects of employment, including Disability/Protected Veterans.,

About the job: Job description Job Title: Data Management & Research Associate Location: Gurugram Position Type: Full-Time Required Experience: Fresher Salary: 18,000/month Role Overview: We are seeking a detail-oriented and proactive individual to identify, research, and map legal professionals, with a focus on their expertise, engagement, and influence in the legal domain. Key responsibilities: 1. Lead Generation: Identify and research legal professionals. The Bulk data is fed through Bloomberg on Salesforce. The role is to map and clean the data and identify the execs who are at the top of the ladder in every organization. 2. Profile Mapping: Collect and organize detailed information such as practice area, experience, jurisdiction, and professional achievements. 3. Engagement Tracking: Track and analyze engagement metrics specific to legal professionals and their niche/content category. 4. Database Management: Maintain and regularly update the database of identified professionals with verified and relevant information. 5. Trend Research: Stay updated on emerging legal influencers, thought leaders, and key voices in the legal community. Who can apply: Only those candidates can apply who: are from Gurgaon only Salary: ₹ 2,00,000 - 2,89,572 /year Experience: 0 year(s) Deadline: 2025-09-11 23:59:59 Other perks: 5 days a week, Health Insurance, Life Insurance Skills required: MS-Excel, Lead Generation, Data entry, English Proficiency (Spoken), English Proficiency (Written), Research and Analytics and Data Cleaning Other Requirements: 1. Strong research and analytical abilities. 2. Familiarity with LinkedIn, YouTube, and other professional networking/content platforms. 3. Excellent attention to detail and data organization skills. 4. Ability to interpret engagement and performance metrics. 5. Background or interest in the legal field. 6. Prior experience in lead generation or market research. 7. Must be a graduate. 8. The role involves research and manual data entry (not data analysis). Apply only if genuinely interested. 9. Based in Gurgaon or willing to relocate. About Company: Wechartered Consultancy Private Limited (formerly known as Wealthedge Financial Advisory Private Limited), established in 2009, has over 12 years of experience in providing world-class compliance, accounting, and auditing services. We specialize in catering to small businesses and individuals, offering dedicated and certified internal auditors and chartered accountant services (CAS). Our expertise includes offshore outsourcing services such as bookkeeping & accounting, business process reengineering & design, LPO, KPO, and BPO, as well as management consultancy for clients in the USA, UAE, UK, Canada, Australia, and India.

The role of a Python Intern at 8byte in Bangalore involves working with the AI Solutions team to build real products, collaborate with senior engineers, and contribute to critical AI infrastructure components. As a Python Intern, you will play a significant role in various tasks such as data parsing & cleaning, search indexing, LLM routing systems, API development, testing & debugging, documentation, and exploration of new tools and technologies. It is a hands-on internship where you will be an integral part of the core team from day one. You will be responsible for writing Python scripts to parse, transform, and wrangle enterprise data, assisting in the development of efficient search systems using Elasticsearch, Solr, etc., building logic for routing queries to the appropriate model or service, creating clean REST APIs to connect different AI components, learning to write unit tests and debug issues, and documenting the work with clear and helpful documentation. Candidates with exposure to Python frameworks such as Flask, FastAPI, Django, familiarity with Git, and basics of NLP or LLMs will be given bonus points. The internship offers real-world experience in working on enterprise-grade AI infrastructure, mentorship from experienced engineers and researchers, a collaborative team environment, and a pathway to full-time employment based on performance. Additionally, interns will receive a stipend, daily office meals, and access to clean air. If you are enthusiastic about building AI infrastructure for the financial world and are ready to contribute to innovative solutions, apply now for this paid internship at 8byte. Join us in creating something great together and making a difference in the BFSI sector.,

Are you passionate about building intelligent systems that make a real-world impact Do you enjoy working in a fast-paced and dynamic start-up environment If so, we are looking for a talented AI Developer to join our team! We are a data and AI consultancy start-up with a global client base, headquartered in London UK, and we are looking for someone to join us full time on-site in our vibrant office in Gurugram. About Uptitude Uptitude is a forward-thinking consultancy that specialises in providing exceptional AI, data, and business intelligence solutions to clients worldwide. Our team is passionate about delivering data-driven transformation and intelligent automation, enabling our clients to make smarter decisions and achieve remarkable results. We embrace a vibrant and inclusive culture where innovation, excellence, and collaboration thrive. As an AI Developer at Uptitude, you will be responsible for designing, developing, and deploying AI models and solutions across a wide range of use cases. You will collaborate closely with data engineers, analysts, and business teams to ensure models are well-integrated, explainable, and scalable. We are looking for a candidate who is not only technically skilled but also creative, curious, and excited about pushing the boundaries of AI in real-world business environments. Requirements - 3 years of hands-on experience in developing AI/ML models in production or research settings. - Proficiency in Python and libraries such as scikit-learn, Pandas, TensorFlow, PyTorch. - Experience working with structured and unstructured data. - Familiarity with model lifecycle management, MLOps, and version control (MLflow, DVC). - Ability to communicate technical ideas to cross-functional teams. - Experience with data cleaning, EDA, and feature selection. - Creativity in applying AI to real-world business problems. Awareness of ISO:27001, ISO:42001 and data governance best practices is a plus. Role based in Gurugram, India. Head office in London, UK. Company Values At Uptitude, we embrace a set of core values that guide our work and define our culture: - Be Awesome: Strive for excellence and keep levelling up. - Step Up: Take ownership and go beyond the expected. - Make a Difference: Innovate with impact. - Have Fun: Celebrate wins and build meaningful connections. Benefits Uptitude values its employees and offers a competitive benefits package, including: - Competitive salary based on experience and qualifications. - Private health insurance. - Offsite trips for team building and knowledge sharing. - Quarterly outings to celebrate milestones. - Corporate English lessons with a UK-based instructor. If you're ready to develop cutting-edge AI solutions and work on meaningful challenges with a global impact we'd love to hear from you.,

As a Digital Operations Specialist and HubSpot Admin with strong data skills, you will play a crucial role in ensuring data accuracy, segmentation, and governance. Your expertise in HubSpot reporting will be instrumental in creating targeted lists to support Marketing teams in delivering personalized messages to the right audience. This position is based in the newly established Marketing Delivery Centre in Chennai, India, and you will report to the Head of Marketing Delivery Centre as part of the Brand, Marketing, and External Relations team. Your primary responsibility will be to maintain the health, integrity, and effectiveness of the HubSpot database. You will focus on data governance, segmentation, list uploads, CRM sync, and supporting Digital Operations Specialists and Marketing Managers in executing impactful campaigns. Key tasks include monitoring integrations, particularly MS Dynamics, organizing data for various campaigns, managing list uploads, creating actionable reports and dashboards using HubSpot, and collaborating with Marketing and Operations teams to analyze asset performance across channels. To excel in this role, you should have proven expertise in HubSpot Marketing and Operations Hub, strong Excel skills, familiarity with data visualization tools like Power BI, and experience with API integrations and CRM systems, preferably MS Dynamics. HubSpot certifications in Reporting and Operations are advantageous, along with attention to detail, analytical mindset, and strong communication skills. While HTML, CSS, and SQL skills are not mandatory, they are considered beneficial. Being organized, proactive, and capable of managing multiple projects and deadlines is essential for success in this position. At Ramboll, we prioritize personal and professional development, offering a supportive environment for your growth within the company. If you are detail-oriented, collaborative, and adept at managing time and tasks, you will thrive in our global Support Organization that ensures the smooth functioning of various business areas like Finance, HR, IT, Legal, and more. Ramboll is a foundation-owned people company with over 18,000 experts working in 35 countries, specializing in diverse markets such as Buildings, Transport, Water, Environment & Health, Energy, and Management Consulting. In India, Ramboll has a team of more than 1,000 experts across five offices, dedicated to delivering innovative solutions in different sectors. To apply for this role, please submit your application online, including your CV, cover letter, and any relevant documents that demonstrate why you are the ideal candidate for this position. We are excited to review your application and welcome you to join our collaborative and empowering team at Ramboll.,

As a Data Analyst in this role, you will be responsible for performing hands-on tasks such as data analysis, lookup and validation, advanced formula and functions usage, data cleaning, calculation of seasonal demand, and creating charts. The ideal candidate must possess advanced proficiency in Excel, SQL, and PowerBI. Additionally, having domain knowledge in sales will be a key asset for this position.,

The main purpose of this role is to support the development and implementation of technical solutions aimed at monitoring and enhancing data quality enterprise-wide, particularly focusing on SAP R/3 and S/4HANA systems. Your responsibilities will include assisting business units in establishing Master Data standards and elevating the quality of Master Data in ERP, MDG, CRM, and other consuming systems. You will collaborate closely with cross-functional teams, comprising business users, data owners, and IT teams, to ensure that technical solutions take into account end-to-end processes. Your involvement will be pivotal in digital transformation projects to guarantee that project deliverables meet established quality standards. To be successful in this role, you should ideally possess a completed degree in business informatics, information technology, or a relevant technical field, combined with a strong interest in master data and data quality. A minimum of 5 years of pertinent professional experience is required, with prior experience in a consultant capacity being advantageous. Proficiency in SAP Material Master Data, Business Partner, and related processes is essential, along with a sound comprehension of SAP data and system architecture. You should have the ability to create and articulate structured frameworks effectively and possess a keen interest in the latest technological advancements, coupled with a good grasp of the technical feasibility of data-oriented products and services. Demonstrated experience in agile project management and a proven track record of success in agile projects are crucial. It is preferred that you have participated in data projects from start to finish, encompassing data cleaning, integration, modeling, and productization. Excellent communication skills in both English and German are expected. ZEISS in India is headquartered in Bengaluru and operates in various sectors including Industrial Quality Solutions, Research Microscopy Solutions, Medical Technology, Vision Care, and Sports & Cine Optics. The company has three production facilities, an R&D center, Global IT services, and approximately 40 Sales & Service offices in nearly all Tier I and Tier II cities across India. With a workforce of over 2200 employees and continuous investments spanning 25 years, ZEISS's success story in India is evolving rapidly. For more information, visit ZEISS India at https://www.zeiss.co.in/corporate/home.html.,

At PwC, as a member of the audit and assurance team, your focus will be on providing independent and objective assessments of financial statements, internal controls, and other assurable information. Your role will involve enhancing the credibility and reliability of information for various stakeholders. You will be responsible for evaluating compliance with regulations, assessing governance and risk management processes, and related controls. Additionally, as part of the data, analytics, and technology solutions team, you will assist clients in developing solutions that build trust, drive improvement, and detect, monitor, and predict risk. Your work at PwC will require utilizing advanced analytics, data wrangling technology, and automation tools to leverage data effectively. You will be instrumental in establishing the right processes and structures to enable clients to make efficient and effective decisions based on accurate and trustworthy information. Driven by curiosity, you are expected to be a reliable and contributing member of a team. In a fast-paced environment, you will need to adapt to working with a diverse range of clients and team members, each presenting unique challenges and scope. Every experience will be an opportunity for learning and growth. In this role, you are expected to take ownership and consistently deliver quality work that adds value for clients and contributes to the success of the team. Building a brand for yourself within the Firm will open doors to more opportunities. Some of the key skills, knowledge, and experiences required for success in this role include: - Applying a learning mindset and taking ownership of your own development. - Appreciating diverse perspectives, needs, and feelings of others. - Adopting habits that sustain high performance and develop your potential. - Actively listening, asking questions to check understanding, and clearly expressing ideas. - Seeking, reflecting, acting on, and giving feedback. - Gathering information from various sources to analyze facts and discern patterns. - Committing to understanding how the business works and building commercial awareness. - Learning and applying professional and technical standards, upholding the Firm's code of conduct and independence requirements. Preferred Knowledge/Skills: - Assisting in collecting, cleaning, and processing data from various sources to support business objectives. - Conducting exploratory data analysis to identify trends, patterns, and insights for strategic decision-making. - Collaborating with team members to design and implement data models and visualizations using tools such as Excel, SQL, Python, or Power Bi. - Supporting the preparation of reports and presentations that communicate findings and insights clearly to stakeholders. - Participating in the development and maintenance of documentation and data dictionaries to ensure data integrity and governance. - Working with cross-functional teams to understand business requirements and deliver data-driven solutions. - Staying updated with industry trends and best practices in data analytics and contributing ideas for continuous improvement. Good To Have: - Experience in a similar role in your current profile. - Good accounting knowledge and experience in dealing with financial data are a plus. - Knowledge of Azure Databricks, Alteryx, Python, SAS, Knime. - Familiarity with data analysis tools and programming languages such as Excel, SQL, Python, Databricks. - Basic understanding of Power BI data visualization techniques and tools. - Strong analytical and problem-solving skills with attention to detail. Education: - Bachelor's degree in a related field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or equivalent experience. - More than 1 year of experience in data analytics, data science, or a related role. - Excellent verbal and written communication skills. - Ability to work collaboratively in a team environment and manage multiple tasks efficiently. - Eagerness to learn and adapt to new technologies and methodologies. - CPA or equivalent certification.,

As an intern at IntelliSQr, you will be responsible for assisting in various tasks related to data processing and machine learning projects. Your day-to-day responsibilities will include: - Assisting in the collection, cleaning, and preprocessing of data for Machine Learning (ML), Deep Learning (DL), and GenAI projects. - Supporting the development, training, and evaluation of machine learning and deep learning models. - Working on fine-tuning and evaluating Large Language Models (LLMs) for specific tasks. - Exploring and experimenting with GenAI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, Transformers. - Contributing to the building and testing of AI/ML/DL pipelines and GenAI-powered applications. - Conducting literature reviews to stay updated on recent advancements in ML, DL, and LLMs. - Performing prompt engineering and optimizing LLM outputs for relevance and accuracy. - Documenting model architectures, experiments, findings, and improvement suggestions. - Collaborating with AI engineers and product teams to integrate models into real-world applications. - Participating in code reviews, version control, and team discussions to enhance learning and contribution. About Company: IntelliSQr is a technology procurement platform specializing in business analytics solutions across various industries. The company aims to simplify the process for customers by recommending suitable solutions based on their business and technical requirements.,

As a member of our Procurement Intelligence team, you will play a crucial role in supporting strategic sourcing, enhancing process efficiency, and providing valuable insights through the analysis of procurement-related data. By leveraging tools such as Excel, SQL, and data visualization platforms, you will contribute to the optimization of procurement strategies and the improvement of overall supply chain performance. Your responsibilities will include gathering procurement and spend data from various sources, analyzing purchasing patterns to identify cost-saving opportunities, evaluating supplier performance based on key performance indicators, and developing dashboards and reports to visualize procurement metrics. Additionally, you will use historical data and market trends for forecasting demand and price fluctuations, ensure compliance with procurement policies, and provide deep insights into specific procurement categories or commodities. Collaborating closely with category managers, finance, and leadership teams, you will offer analytical support to drive informed procurement decisions. Moreover, you will guide and support team members in skill development, assist in workload planning and resource allocation, and monitor team performance against key performance indicators. To be successful in this role, you should possess a Bachelor's degree in a relevant field such as Supply Chain Management, Procurement, Business Analytics, Engineering, or Finance. A Master's degree or MBA with a focus on Analytics, Operations, or Procurement would be preferred, along with certifications in data analytics tools like Microsoft Power BI, Tableau, SQL, or Python. Advanced skills in Excel, proficiency in data visualization tools such as Power BI and Tableau, and experience with SQL and database querying are highly desirable. Familiarity with ERP systems like SAP and Coupa, as well as knowledge of data cleaning and automation tools, will further enhance your capabilities in this role. Join us at Koch companies, where we value entrepreneurship, challenge the status quo, and reward individual contributions. Our compensation philosophy is flexible and considers factors such as knowledge, skills, abilities, and geographic location. If you have any questions, please reach out to your recruiter for more information on our compensation philosophy and flexibility. At Koch, we empower employees to unleash their potential and create value for themselves and the company. We strive to provide the best work environment that supports your personal and professional needs, enabling you to produce superior results.,

As a valuable member of the team, your responsibilities will include supporting data collection from lab and field validation tests, performing data cleaning, validation, and basic statistical analysis. You will also assist in preparing structured reports and dashboards for internal review. Collaboration with test engineers to ensure data accuracy and consistency will be a key part of your role. Additionally, your contributions to data-driven insights for root cause analysis and performance improvement will be highly valued.,

The Continuous Improvement (CI) Associate Program Manager at DRS collaborates closely with the CI Senior Director, Service Delivery Team, LDE Team, and various other stakeholders to develop and execute strategies that align with organizational goals and strategic plans. You will assist in creating policies, procedures, training materials, and resources for the Epiq team, actively engaging in training, program implementation, reporting, and website management. Your role will involve managing multiple projects simultaneously, demonstrating excellent time management, working independently and collaboratively, maintaining detailed records, providing team support, effective communication, and catering to diverse eDiscovery needs. A deep understanding of electronic discovery requirements, Epiq best practices, including AI and technology utilization, is essential for this position, which emphasizes functional work rather than legal tasks. Proficiency in Excel and Microsoft Office, attention to detail, creative thinking, analytical skills, and problem-solving abilities are crucial. Experience with statistical analysis, MS CoPilot, Power BI, Power Automate, and other AI tools is highly beneficial. As the CI Associate Program Manager, you will embody Epiq's mission, vision, and values, exhibiting professionalism across all aspects of the business. Supporting Document Review Services leadership, you will provide expert consultation and contribute to fostering a positive work culture emphasizing diversity, equity, and inclusion. Key Responsibilities: - Collaborate with Epiq teams to address queries, troubleshoot issues, and provide best practice support. - Perform regular project audits and conduct training sessions for team members. - Compile E-Discovery metrics and generate monthly reports using Power BI. - Develop resource materials for the DRS team's SharePoint site. - Coordinate Client & Counsel Surveys with vendors and prepare performance reports for leadership. - Participate in product development meetings and research eDiscovery tools. - Identify and implement AI automation opportunities and internal process enhancements. Qualifications: - Minimum 2 years of Power BI experience required. - Hands-on expertise in Power BI, DAX, and Power Query for report creation and maintenance. - Proficiency in Power Automate, Teams, SharePoint, Excel, and Microsoft Office. - Strong data manipulation and visualization skills in Excel. - At least 1 year of e-Discovery experience, with managed review vendor experience preferred. - Familiarity with Relativity, analytics, TAR, and AI technologies. - Exceptional communication, problem-solving, and organizational abilities. - Ability to manage multiple projects, work independently, and collaborate effectively. - Willingness to exceed expectations and adapt to dynamic work environments. (Note: This Job Description is a summarized and formatted version of the original content provided),

As a skilled professional in data handling and processing, you will demonstrate expertise in SQL Server and query optimization, ensuring efficient application data design and process management. Your knowledge in data modeling will be extensive, supported by hands-on experience with Azure Data Factory, Azure Synapse Analytics, and Microsoft Fabric. Additionally, your familiarity with Azure Databricks will be utilized in your work. In the realm of data warehouse development, your proficiency in SSIS (SQL Server Integration Services) and SSAS (SQL Server Analysis Services) will be essential. You will excel in ETL processes, encompassing data extraction, transformation, and loading, including data cleaning and normalization. Moreover, your exposure to big data technologies like Hadoop, Spark, and Kafka will enable you to handle large-scale data processing efficiently. Your understanding of data governance, compliance, and security measures within Azure environments will be integral to your role. Furthermore, your expertise in data analysis, statistical modeling, and machine learning techniques will drive insightful decision-making. Proficiency in analytical tools such as Python, R, and libraries like Pandas and NumPy will be leveraged for data analysis and modeling. You will showcase a strong command of Power BI for data visualization, data modeling, and DAX queries, following best practices in the field. Implementing Row-Level Security in Power BI will be one of your key responsibilities. Handling medium-complex data models and quickly grasping application data design and processes will be part of your routine tasks. In addition to technical skills, you will lead a team of 4-5 developers, ensuring timely deliverables and fostering a culture of continuous learning. Your communication skills in English, both written and verbal, will be crucial for effective collaboration with customers. You will adeptly explain complex technical concepts to non-technical stakeholders, showcasing your ability to bridge the gap between technical and non-technical perspectives. Your proficiency in SQL, Azure Synapse Analytics, Azure Analysis Service, and Data Marts will enable effective data management. Utilizing ETL tools like Azure Data Factory, Azure Data Bricks, Python, and SSIS will streamline your workflow. Data visualization will be a key aspect of your role, with Power BI and DAX serving as your primary tools for creating impactful visual representations of data. Overall, as a data professional, you will be responsible for handling and processing data efficiently, leveraging your technical expertise and non-technical skills to drive valuable insights and support strategic decision-making.,

DataProd Consultants LLC is transforming the conventional approach to data projects by focusing on depth over volume and expertise over process-heavy execution. Our LEAN execution model utilizes experienced data experts in a freelance cohort to deliver impactful data solutions with agility and cost-effectiveness. Specializing in data engineering, discovery, and business intelligence challenges, we offer a method that is perfect for businesses in need of practical, business-aligned data strategies without the burden of lengthy consulting engagements. This is a full-time on-site role for a Data Analytics Intern based in Jaipur. As an intern, you will be responsible for collecting, analyzing, and interpreting large datasets to derive actionable insights. Your daily responsibilities will include supporting data engineering tasks, contributing to data visualization projects, implementing machine learning models, and aiding in report generation and business intelligence activities. The ideal candidate should possess the following qualifications: - Proficiency in Data Collection, Data Analysis, and Data Cleaning skills - Strong command of SQL, Python, and R for data manipulation and analysis - Experience with data visualization tools like Tableau, Power BI, or Matplotlib - Basic knowledge of machine learning concepts and algorithms - Excellent analytical and problem-solving abilities - Outstanding written and verbal communication skills - Ability to work both independently and collaboratively as part of a team - Bachelor's degree in Data Science, Statistics, Computer Science, or a related field Join us at DataProd Consultants LLC and be part of a team that is passionate about leveraging data to drive business success.,

As a Web Scraping Engineer, you will join our dynamic team and play a crucial role in driving our data-driven strategies. Your primary responsibility will be to develop and maintain innovative solutions to automate data extraction, parsing, and structuring from various online sources. By utilizing your expertise in web scraping, you will empower our business intelligence, market research, and decision-making processes. Key Responsibilities - Design, implement, and maintain web scraping solutions to collect structured data from publicly available online sources and APIs. - Parse, clean, and transform extracted data to ensure accuracy and usability for business needs. - Store and organize collected data in databases or spreadsheets for easy access and analysis. - Monitor and optimize scraping processes for efficiency, reliability, and compliance with relevant laws and website policies. - Troubleshoot issues related to dynamic content, anti-bot measures, and changes in website structure. - Collaborate with data analysts, scientists, and other stakeholders to understand data requirements and deliver actionable insights. - Document processes, tools, and workflows for ongoing improvements and knowledge sharing. Requirements - Proven experience in web scraping, data extraction, or web automation projects. - Proficiency in Python or similar programming languages, and familiarity with libraries such as BeautifulSoup, Scrapy, or Selenium. - Strong understanding of HTML, CSS, JavaScript, and web protocols. - Experience with data cleaning, transformation, and storage (e.g., CSV, JSON, SQL/NoSQL databases). - Knowledge of legal and ethical considerations in web scraping, with a commitment to compliance with website terms of service and data privacy regulations. - Excellent problem-solving and troubleshooting skills. - Ability to work independently and manage multiple projects simultaneously. Preferred Qualifications - Experience with cloud platforms (AWS, GCP, Azure) for scalable data solutions. - Familiarity with workflow automation and integration with communication tools (e.g., email, Slack, APIs). - Background in market research, business intelligence, or related fields. Skills: data extraction, data cleaning, BeautifulSoup, business intelligence, web automation, JavaScript, web scraping, data privacy regulations, web protocols, Selenium, Scrapy, SQL, data transformation, NoSQL, CSS, market research, automation, Python, HTML.,

As a dynamic global technology company, Schaeffler's success is attributed to its entrepreneurial spirit and long history of private ownership. Partnering with major automobile manufacturers, aerospace, and industrial sectors, Schaeffler provides numerous development opportunities for individuals like you. Your key responsibilities in this role will include researching and defining analytical models based on provided data/information for analytical ad hoc feasibility cases, proofs of concepts, or with a focus on software development for deployable analytics solutions. You will collaborate with internal and/or external clients to grasp business requirements, compile, sort, and organize function-specific information and data for subsequent analyses, conduct routine and instant data cleaning and testing, as well as identify and resolve data quality issues in cooperation with the team. Additionally, you will analyze data for feasibility cases and proofs of concepts, actively contributing to the research and definition of analytical models for eventual product transfer. To qualify for this position, you should hold a Graduate Degree in Business Informatics, Applied Computer Science, Mathematics, Software Engineering, or Machine Learning, with 1 to 3 years of relevant experience. At Schaeffler, we value respect and diverse perspectives among our global employees. By appreciating differences, we foster creativity and drive innovation, contributing to sustainable value creation for our stakeholders and society. Together, we advance the future through innovation, offering exciting assignments and exceptional development opportunities. We eagerly anticipate your application to join our team. For further details and to apply, visit www.schaeffler.com/careers. For any technical queries, please reach out to Kalyani More at Schaeffler Technology Solutions India Pvt. Ltd. via email at technical-recruiting-support-AP@schaeffler.com.,

As a Data Management Specialist, you will play a crucial role in supporting data processing operations by cleaning, restructuring, validating, and uploading data into our system. Your primary responsibility will be to ensure the accuracy and compliance of data with program rules. To excel in this role, you must possess advanced Excel skills to efficiently manipulate and organize data. Post-upload testing will also be a key aspect of your responsibilities to confirm data integrity and accuracy. Key Responsibilities: - Data Cleaning & Preparation: Identify and rectify inconsistencies, duplicates, and errors in datasets. Standardize and format raw data to meet system requirements. Maintain data consistency across various sources. - Data Reorganization & Formatting: Transform data structures to match the required platform format. Develop and modify Excel templates/macros for effective data processing. Utilize pivot tables, formulas, and automation techniques to streamline data organization. - Data Validation & Compliance: Validate datasets against predefined business rules and logic. Conduct checks to ensure data accuracy, completeness, and integrity. Collaborate with stakeholders to address discrepancies. - Data Upload & System Integration: Prepare and upload validated data into the platform. Resolve errors during upload and troubleshoot any issues. Document upload procedures and ensure adherence to system standards. - Post-Upload Testing & Quality Assurance: Verify data post-upload to ensure accuracy. Conduct sample tests to identify missing or incorrect entries. Generate reports highlighting anomalies or errors. - Process Improvement & Documentation: Identify opportunities to enhance data management workflows. Maintain records of data processing steps and update documentation. Train team members on data management best practices and Excel automation. Required Skills & Qualifications: - Proficiency in Microsoft Excel, including pivot tables, VLOOKUP, HLOOKUP, INDEX-MATCH, and nested formulas. - Familiarity with data cleaning techniques using functions like TEXT, CONCATENATE, TRIM, SUBSTITUTE, etc. - Experience in handling and processing large datasets. - Strong attention to detail and problem-solving abilities. - Ability to adhere to complex data validation rules. - Understanding of data structures and formatting principles. - Excellent organizational and documentation skills. - Capability to work independently and manage multiple tasks efficiently. Preferred Qualifications: - Bachelor's degree in data science, Information Systems, Business Analytics, or related field. - Experience with database tools or data management systems (optional). - Familiarity with Python or SQL for data manipulation (a plus but not required).,

As a Data Analyst at PureSpectrum, you will play a crucial role in conducting product-related analyses, generating reports, and deriving insights. You will operate within the Analytics and Data Science team, reporting directly to the VP Analytics and Data Science in a dynamic and fast-paced environment. The ideal candidate for this position is highly analytical, inquisitive, detail-oriented, and adept at collaborating with global stakeholders, technology partners, and vendors. Your primary responsibilities will include understanding business challenges, formulating and testing hypotheses utilizing appropriate statistical methods, and developing Proof-of-Concept (POC) models. You will be tasked with creating and refining predictive models to construct training datasets, as well as executing end-to-end projects that involve data mining, cleaning, inputting, and transforming from various databases. Collaborating with the engineering team, you will establish pipelines for collecting, storing, and retrieving training datasets. Furthermore, you will work closely with cross-functional teams to prioritize workflows, address data consistency and quality issues, and effectively communicate findings and analyses to technical and non-technical audiences. To qualify for this role, you should possess a Bachelor's degree with a minimum of 3 years of hands-on experience in Data Analysis, or a Master's Degree in Quantitative Economics with at least one year of relevant experience. Proficiency in big data environments like AWS, relational database management systems, and programming languages such as Python, R, and SAS is essential. Previous experience in report and dashboard design, API integrations, and familiarity with databases and BI tools like SQL, mongoDB, QuickSight, Tableau, and Microsoft Power BI will be advantageous. PureSpectrum offers a competitive compensation and benefits package that includes comprehensive health insurance, PF, and a leave policy compliant with statutory requirements. In addition, you will have the opportunity to participate in team events and celebrations, enjoy a casual dress code, and work in a professional yet enjoyable team environment.,

About the Company: We are one of India's premier integrated political consulting firms specializing in building data-driven 360-degree election campaigns. Our expertise lies in providing strategic advice and implementation services that merge data-backed insights with in-depth ground intelligence to create comprehensive electoral campaigns. With a deep passion for democracy and the impact of politics on our world, we have assembled a team of exceptional individuals from prestigious institutions and diverse professional backgrounds. Together, we bring 7 years of experience in developing electoral strategies that initiate conversations, drive change, and influence the electoral and legislative landscapes of our country. Job Summary: We are currently looking for a detail-oriented and methodical Statistical Analyst/Statistician to join our analytics team. The ideal candidate will play a crucial role in collecting, analyzing, and interpreting quantitative data to facilitate strategic decision-making processes. This position involves developing statistical models, conducting simulations, and generating reports and visualizations to extract insights that inform organizational priorities. Additionally, the candidate will be expected to share data-driven insights through reporting and publications. Key Responsibilities: - Collect, clean, and prepare extensive datasets from various sources for analysis. - Utilize statistical methods and models (e.g., regression, hypothesis testing, inference building, panel, categorical, multilevel models) to analyze trends, patterns, and make forecasts. - Interpret and effectively communicate complex data findings and forecasts to non-technical stakeholders. - Create and maintain dashboards, forecasts, and ad hoc reports. - Assist in survey design and evaluation processes, including sampling, weighting, and post-stratification if applicable. - Collaborate with data engineers, subject matter experts, and decision-makers to define analysis goals. - Ensure the accuracy, integrity, and privacy of all processed data. Required/Minimum Qualifications: - Bachelor's or Master's degree in Statistics, Mathematics, Data Science, Economics (Econometrics), or a related quantitative field. - Proficiency in Microsoft Excel, Word, and G-Suites is essential. - Proficiency in statistical software, with preference for R/SPSS. - Strong understanding of statistical concepts and modeling, including linear and logistic regression, ANOVA, Time-Series Modeling, and Bayesian methods. - Experience working with large datasets and relational databases, with consideration for both graduate and undergraduate experiences. - Excellent analytical, problem-solving, and organizational skills. - Strong communication skills, especially in translating data for non-technical audiences. Preferred Qualifications: - Demonstrated ability to manage multiple large datasets concurrently for hypothesis building and inference testing. - Academic excellence or research experience in quantitative fields like econometrics, finance, mathematics, Bayesian statistics, etc. - Experience in model building using Python, R will be advantageous. - Proficiency in query writing and data automation tasks (SQL, VBA, etc.) is a plus. - Ability to independently handle multiple projects and meet the key requirements of internal stakeholders. - Previous experience or postgraduate exposure to publishing academic research is favorable. Location: BLR - 4th Floor, VK Kalyani Commercial Complex, Opp to BDA Sanky Road, Bangalore, 560021.,

As an intern at AppVersal, you will be responsible for validating and verifying campaign data, user metrics, and marketing reports. Your role will involve identifying data inconsistencies or gaps and promptly reporting them to the operations or campaign team. Additionally, you will assist in cleaning and organizing campaign data using tools such as Excel, Google Sheets, or internal dashboards. Furthermore, you will play a crucial part in maintaining and updating marketing databases with accurate and verified information. Collaboration with the performance marketing and analytics teams will also be essential to improve data quality and enhance overall campaign effectiveness. AppVersal is a renowned app marketing company globally, serving clients from various parts of the world. With a focus on helping app developers market their products to boost sales and expand their user base, AppVersal has achieved over 5 million downloads. Join us in this exciting journey of app marketing innovation and growth.,

The company SAASQUIRK LLP is a dynamic startup that is making waves in the SaaS marketplace by providing innovative solutions. We are dedicated to creating user-friendly and powerful tools that assist businesses in finding and implementing the most suitable software solutions for their specific requirements. Our team, though small, is expanding rapidly, and we are seeking individuals who are enthusiastic and committed to contributing to the future development of our product. As part of this role, your main responsibilities will include cleaning, organizing, and arranging data in Excel based on specific criteria. You will also be tasked with creating and managing interactive dashboards using tools such as Excel, Power BI, Google Data Studio, or similar platforms. Additionally, you will be expected to extract insights and generate simple reports from data to facilitate decision-making processes. Identifying trends, anomalies, and areas for enhancement within datasets will also be a key aspect of your role. Collaboration with stakeholders to comprehend reporting requirements and deliver actionable results will be crucial. To excel in this position, proficiency in Microsoft Excel including formulas, pivot tables, data sorting/filtering, and charts is essential. Familiarity with dashboard tools like Power BI, Google Data Studio, Tableau, or Excel Dashboards is highly desirable. A basic understanding of data cleaning and data analysis concepts, along with a keen eye for detail and analytical thinking, are necessary attributes for this role. Strong communication skills and the ability to present data clearly are also important. Experience with Python for data analysis (Pandas, etc.) or SQL would be considered a bonus. Ideally, candidates with backgrounds in Data Science, Statistics, Computer Science, Business Analytics, or related fields, including students or recent graduates, would be well-suited for this position. Having a portfolio or academic projects that showcase your data analysis skills would be advantageous. Please note that this is a paid internship opportunity where you will have the chance to enhance your skills and gain valuable experience in the field.,

The selected intern will be responsible for the following day-to-day tasks: Data collection and cleaning: You will collect and compile data from various sources, ensuring accuracy and completeness. Additionally, you will perform data cleaning and transformation to prepare it for analysis. Data analysis: You will assist in conducting data analysis using statistical methods, data visualization tools, and data analysis software. Your role will involve summarizing findings in clear and concise reports. Data visualization: Creating visually appealing and informative charts, graphs, and dashboards to present data insights to stakeholders will be part of your responsibilities. You will utilize tools such as Tableau, Power BI, or Excel for visualization purposes. Report generation: You will prepare regular and ad-hoc reports to communicate key metrics and findings to the team and management. It will be crucial to ensure that reports are accurate and delivered on time. Data quality assurance: Your role will involve helping maintain data quality standards by identifying and resolving data discrepancies or inconsistencies. Collaborating with other team members to establish data quality protocols will also be essential. Collaboration: Working closely with cross-functional teams, including data engineers, business analysts, and stakeholders, will be necessary to understand data requirements and deliver actionable insights. Research and learning: Staying up to date with industry trends and best practices in data analysis will be important. Continuously expanding your knowledge and skills in data analytics techniques and tools will also be encouraged. About Company: BatteryPool is focused on building an affordable and convenient battery charging solution for electric 2 wheelers in India. The company aims to promote the adoption of electric vehicles in India through solutions tailored to the Indian context. The BatteryPool ecosystem is supported by patent-pending hardware and a proprietary IoT layer. The team at BatteryPool is driven by a strong passion for clean energy, automobiles, and technology. Comprising engineers from top engineering schools and premier automobile companies, the team is supported by the Department of Science and Technology and Tata Power/Tata Trusts.,

You are a Senior Python Developer with a strong background in backend development and a passion for designing and implementing efficient algorithms. Your main responsibility is to develop, maintain, and optimize core backend systems and services, with a focus on complex algorithms. This role requires a deep understanding of Python, strong problem-solving skills, and the ability to work collaboratively in a fast-paced environment. You will play a key role in designing, developing, and maintaining robust data pipelines, APIs, and data processing workflows. It is essential to work closely with data analysts and business teams to understand data requirements and deliver insightful data-driven solutions. Ideal candidates are passionate about data, enjoy problem-solving, and thrive in a collaborative environment. Experience in the financial or banking domain is a plus. Responsibilities: - Design, develop, and maintain robust and scalable data pipelines using Python, SQL, PySpark, and streaming technologies like Kafka. - Perform efficient data extraction, transformation, and loading (ETL) for large volumes of data from diverse data providers, ensuring data quality and integrity. - Build and maintain RESTful APIs and microservices to support seamless data access and transformation workflows. - Develop reusable components, libraries, and frameworks to automate data processing workflows, optimizing for performance and efficiency. - Apply statistical analysis techniques to uncover trends, patterns, and actionable business insights from data. - Implement comprehensive data quality checks and perform root cause analysis on data anomalies, ensuring data accuracy and reliability. - Collaborate effectively with data analysts, business stakeholders, and other engineering teams to understand data requirements and translate them into technical solutions. Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field. - 5+ years of proven experience in Python development, with a strong focus on data handling, processing, and analysis. - Extensive experience building and maintaining RESTful APIs and working with microservices architectures. - Proficiency in building and managing data pipelines using APIs, ETL tools, and Kafka. - Solid understanding and practical application of statistical analysis methods for business decision-making. - Hands-on experience with PySpark for large-scale distributed data processing. - Strong SQL skills for querying, manipulating, and optimizing relational database operations. - Deep understanding of data cleaning, preprocessing, and validation techniques. - Knowledge of data governance, security, and compliance standards is highly desirable. Experience in the financial services industry is a plus. - Familiarity with basic machine learning (ML) concepts and experience preparing data for ML models is a plus. - Strong analytical, debugging, problem-solving, and communication skills. - Ability to work both independently and collaboratively within a team environment. Preferred Skills: - Experience with CI/CD tools and Git-based version control. - Experience in the financial or banking domain.,

As a Data Scientist, you will be responsible for analyzing large and complex datasets to identify trends, patterns, and insights. Your main tasks will include developing and implementing machine learning models for prediction, classification, and clustering using Python libraries such as scikit-learn, TensorFlow, or PyTorch. Additionally, you will perform statistical analysis and hypothesis testing to validate findings and draw meaningful conclusions. Your role will also involve designing and implementing data visualization dashboards and reports using Python libraries like Matplotlib, Seaborn, or Plotly to effectively communicate insights. Collaboration with cross-functional teams to understand business requirements and translate them into data science solutions is a key aspect of this position. You will also be responsible for building and deploying scalable data pipelines using Python and related tools. To excel in this role, you should have proven experience as a Data Scientist or in a similar role, ideally with 2+ years of experience. Strong programming skills in Python and familiarity with relevant data science libraries such as Pandas, NumPy, and Scikit-learn are essential. A solid understanding of statistical concepts, machine learning algorithms, and data modeling techniques is required. Furthermore, experience in data visualization using Python libraries like Matplotlib, Seaborn, and Plotly is important. You should be adept at working with large datasets, performing data cleaning, preprocessing, and feature engineering. Strong problem-solving and analytical skills are also crucial for success in this role. Excellent communication and presentation abilities are necessary to effectively communicate complex data insights and findings to both technical and non-technical audiences. A Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related area is preferred. Experience with big data technologies like Spark and Hadoop, familiarity with cloud platforms such as AWS, Azure, and GCP, and knowledge of deep learning frameworks like TensorFlow and PyTorch are all valuable assets. Additionally, experience with database technologies (SQL and NoSQL) and deploying machine learning models into production will be beneficial for this role. Stay updated with the latest advancements in data science, machine learning, and Python libraries to continuously enhance your skills and knowledge.,