105 Data Cleaning Jobs - Page 2

You will be responsible for assisting in building and validating machine learning models as well as performing data cleaning, transformation, and feature engineering. Additionally, you will conduct exploratory data analysis using Python or R, support model tuning, performance tracking, and documentation. Collaboration with the team to apply AI/ML solutions to business use cases will be a key part of your role. You will also prepare clear reports and visualizations to present findings effectively. Applexus is a global technology leader that offers business consulting and SAP services to customers in the retail, fashion, and consumer products industries. Established in 2005, Applexus prioritizes customer satisfaction by developing technology solutions that facilitate business transformation. Headquartered in Seattle, Washington, Applexus operates across various centers in North America (Seattle & Canada), the United Kingdom, and India (Trivandrum & Chennai). The company is dedicated to making a positive impact by serving communities worldwide.,

You will be responsible for the following as a Data Analyst: - Participating in discovery processes by collaborating with key stakeholders to identify business requirements and expected outcomes. - Collecting, cleaning, and preprocessing data from various sources to ensure data quality and consistency. - Designing and building dashboards and reports using Power BI, or other data visualization tools to provide actionable insights. - Creating and maintaining comprehensive documentation for all data analysis processes and methodologies. - Collaborating with development teams to integrate data insights into software applications and business processes. - Defining business-specific performance metrics to measure data analysis effectiveness and monitoring these metrics over time. To qualify for this role, you should have the following requirements: - A graduate degree in Mathematics, Statistics, Computer Science, or a related field; an advanced degree is preferred. - 3 or more years of relevant data analysis experience, especially in collecting, organizing, analyzing, and disseminating significant amounts of information with attention to detail and accuracy. - Proficiency in using SQL for data querying and manipulation. - Hands-on experience with data visualization tools such as Power BI, Tableau, or similar. - An excellent understanding of statistical techniques and their applications. - Programming experience in Python for data analysis. - Proficiency in Microsoft Excel, including advanced functions and data analysis tools. - Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. - Excellent communication skills and the ability to convey complex topics to a cross-functional audience. Key Skills required for this role are Data Analysis, SQL, Power BI, Tableau, Statistics, Python, Excel, Data Visualization, and Data Cleaning.,

You are a Junior Data Analyst Associate joining an immediate project for PMC Elections 2025 in Pune. Your role involves handling and ensuring accuracy of large-scale political and voter data through cleaning and validation. You will present actionable insights via visual dashboards, requiring a strong understanding of political dynamics and data interpretation. Your responsibilities include collecting, cleaning, and validating datasets on voter behavior, booth-level trends, and campaign outreach. Analyzing data to identify patterns, outliers, and correlations relevant to the PMC election. Creating visual reports and dashboards using tools like Excel, Tableau, Power BI, etc. Collaborating with political consultants and field teams to convert insights into campaign strategies. Maintaining confidentiality and handling sensitive data responsibly. Presenting findings clearly and concisely for internal stakeholders. You must be fluent in Marathi and hold a Bachelor's degree in Data Science, Statistics, Computer Science, Political Science, or related field. Previous experience in data cleaning, analysis, and visualization is required. Proficiency in Excel, optional Python/R, and visualization tools like Power BI/Tableau is essential. Strong attention to detail, critical thinking, and communication skills are necessary for this role. Immediate availability and commitment to project timelines are also expected.,

CAI is an advisory and investment firm that invests across Mid-Large Corporates in every asset class PAN-INDIA. Our mission is to help secure the futures of institutional investors, family houses, and individuals counting on us. We are deeply committed to our clients and portfolio companies, believing in shared success. We provide brand strategies and digital marketing techniques to enhance their portfolios with a collaborative approach. We serve a wide range of companies and clients, including Institutional Investors, Family Houses & Individuals, Corporates, and Common Wealth Solutions for eligible investors across private equity, private credit, infrastructure, and real estate. Our differentiated investment insights, time-tested approach, and solutions aim to help clients harvest safe & good returns on their investments and find tailored solutions for their unique investment needs. We are currently seeking an AI Research Intern to explore emerging AI technologies, analyze their applications, and develop strategies for leveraging them effectively. The ideal candidate should be passionate about AI, possess strong research skills, and be able to translate AI trends into actionable strategies. **Key Responsibilities:** - AI Market Research & Trend Analysis - Tool Evaluation & Implementation - Analytics & Data Cleaning - Reporting & Strategic Recommendations - Collaboration & Knowledge Sharing **Key Skills & Qualifications:** - Education & Experience: Open to undergraduate/postgraduate students or recent graduates with a keen interest in AI and technology. Prior exposure to AI tools, analytics, or automation platforms is a plus. - Essential Skills: Strong research and analytical abilities, understanding of AI tools, basic knowledge of AI applications, ability to translate complex AI concepts into actionable insights, strong communication and presentation skills. **Benefits:** - Hands-on exposure to the latest AI innovations and market trends - Opportunity to work with cutting-edge AI tools and contribute to AI strategy - Experience in data-driven decision-making and AI-powered analytics - Certificate and letter of recommendation upon successful completion - Potential for a full-time role based on performance This is a full-time, fresher, internship position with a contract length of 3-6 months. The work location is in person, with day shift and fixed shift schedules. Applicants must be able to join immediately and commit full time to this job.,

Join us as an Assistant Vice President- Credit Strategy at Barclays, where you will spearhead the development of Credit Strategies for some of the well-known co-brand credit cards. You will utilize industry-leading tools to enhance credit strategies. You may be assessed on key skills relevant for success in the role, such as experience with SAS/SQL, knowledge of Lending products especially Credit cards, understanding of the credit underwriting process, as well as job-specific skillsets. To be successful as an Assistant Vice President - Credit Strategy, you should have experience with: Basic/ Essential Qualifications: - College degree required; quantitative disciplines preferred; master's degree preferred - Analytical experience in the financial services industry; credit card experience preferred - Experience building underwriting and/or line assignment credit strategies - Experience with SAS/SQL or other relevant statistical tools Desirable skillsets/ good to have: - Strong analytical, technical, and statistical skills with a proven ability to process vast amounts of data into meaningful information - Strong knowledge of SQL, SAS, and Excel - Strong communication skills, with the ability to present information clearly, in both written and verbal form - Previous experience in the Financial Services Industry and Credit Risk Management Preferred - Ability to thrive in a dynamic and fast-paced environment Key Accountabilities: - Utilizing segment-level valuations, develop Credit Strategies (Underwriting, Line, and Pricing) for the US Partner Portfolio (50%) - Evaluate alternative data for underwriting and line assignment strategies using statistical analysis techniques such as CHAID Decision Trees, optimization procedures, loss forecasting, enhanced process monitoring, data quality analyses, and incorporate score implementations supporting launch (20%) - Develop and monitor customized manual underwriting process (10%) - Work with Segment / Strategic Analytics / Decision Science staff to ensure project completion within agreed time frames and end-client satisfaction (10%) - Analyze, validate, track, and monitor delivered projects (100%) Stakeholder Management and Leadership: The person in this role will interact with Customer Office, Credit Risk, Finance, Segment teams, Customer Delivery, and Technology teams to ensure the correct implementation of the targeting strategies. Decision-making and Problem Solving: Strong problem-solving skills are required. The person needs to be resourceful with a can-do attitude to independently push tasks forward while working with key stakeholders. Ability to make decisions on the fly when equipped with the right background information and business insights. Risk and Control Objective: Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework, and internal Barclays Policies and Policy Standards. This role will be based out of Noida, India. Purpose of the role: To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organization. Accountabilities: - Identification, collection, extraction of data from various sources, including internal and external sources - Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis - Development and maintenance of efficient data pipelines for automated data acquisition and processing - Design and conduct statistical and machine learning models to analyze patterns, trends, and relationships in the data - Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities - Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Assistant Vice President Expectations: To advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness. Collaborate closely with other functions/business divisions. Lead a team performing complex tasks, using well-developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge, and Drive the operating manual for how we behave.,

We are seeking a passionate and motivated Junior Python Data Scientist to join our expanding data team. This position offers an excellent opportunity for recent graduates or individuals with up to one year of experience who are enthusiastic about applying their Python and data analysis skills to real-world challenges. As a Junior Python Data Scientist, you will be involved in meaningful projects focused on data preparation, analysis, and the development of machine learning models, all under the guidance of experienced data scientists. Your responsibilities will include cleaning, transforming, and analyzing data utilizing Python, pandas, and NumPy. You will also play a key role in supporting the development and evaluation of machine learning models using tools such as scikit-learn and TensorFlow. Additionally, you will conduct statistical analyses to extract valuable insights and identify trends, as well as contribute to building data pipelines and automating data processes. Communication of findings and presentation of insights in a clear and concise manner will be an essential part of your role. Collaboration with cross-functional teams, including data engineers, product managers, and software developers, is also a key aspect of this position. The ideal candidate for this role should have at least one year of hands-on experience with Python for data analysis or machine learning. Familiarity with pandas, NumPy, scikit-learn, and TensorFlow is required. A solid understanding of core statistical concepts and basic exploratory data analysis (EDA) is essential. Knowledge of machine learning models such as linear regression, decision trees, or classification algorithms is preferred, and exposure to advanced ML algorithms and Deep Learning is a plus. Strong problem-solving and analytical thinking skills, along with good communication and documentation abilities, are also important qualities we are looking for. A Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field is required, or currently pursuing one. Preferred qualifications include completed coursework, certifications, or personal projects related to ML or Data Science. Exposure to version control (e.g., Git), Jupyter notebooks, or cloud environments is advantageous. We are looking for candidates who are enthusiastic about learning and growing in the data science field.,

At Allucent, we are dedicated to helping small-medium biopharmaceutical companies efficiently navigate the complex world of clinical trials to bring life-changing therapies to patients in need across the globe. We are looking for a Senior Clinical Data Manager I to join our A-team (hybrid*). The Senior Clinical Data Manager I (SrCDM1) is responsible for leading data management activities of the Allucent Data Management (DM) department. In this role, you will manage, coordinate, review, and approve DM deliverables from database design & set-up, through cleaning and reporting to database locking. It is crucial to ensure that the completeness, accuracy, and consistency of clinical data meet the quality standards and regulatory requirements for analysis and reporting. Additionally, you will provide expertise in relevant data management areas and cross-functional initiatives, including the development of departmental processes, tools, and training of staff. You will also be involved in Request for Proposals (RFPs) and present at Business Development (BD) Meetings. As a Senior Clinical Data Manager I, your key tasks will include: - Leading and serving as the primary contact for DM with all relevant parties internally and externally - Planning and projecting the resources required including management of tasks, timelines, risk, and quality - Developing, reviewing, and maintaining project-specific DM documents throughout the project lifecycle - Leading and coordinating the development of clinical study database set-up, eCRF design, and database validation requirements - Creating training materials for EDC users and providing project-specific training - Overseeing data cleaning strategy, data releases, data transfers, and reconciliation activities - Providing project metric reports, status updates, study progress, and feedback to the project team - Maintaining DM study documentation, supporting internal and external audits, and aligning data management and clinical programming best practices - Participating in client evaluations, preparing new proposals and budgets for Data Management services, and staying updated on regulatory development trends Requirements: - Life science, healthcare degree and/or combination of education and experience - Minimum 5 years of relevant work experience as a Clinical Data Manager - Thorough knowledge of ICH-GCP, 21CFR11 data privacy guidelines, and awareness of local/regional requirements - Experience with EDC software systems, IRT, eCOA, and CDISC conventions - Strong written and verbal communication skills, organizational, negotiating, and motivational skills - Ability to work in a fast-paced challenging environment and proficiency with computer applications Benefits of working at Allucent include: - Comprehensive benefits package - Competitive salaries - Departmental Study/Training Budget for professional development - Flexible working hours and remote/office-based working opportunities - Leadership and mentoring opportunities - Internal growth opportunities, employee referral program, and access to online training platforms *This position is for the Chennai Location and not home-based** *Please note that Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any open roles. Candidates should never be submitted directly to hiring managers, employees, or human resources.*,

Veramed prides itself on providing the highest quality statistics and programming consultancy for its clients, and offering its employees an industry-leading working environment with support and training for career growth. We are seeking a hands-on Programmer with attention to detail and a strong work ethic to work as part of the statistical and programming team, providing programming support to a variety of clients in the Veramed portfolio. This role provides the opportunity to progress towards becoming a Lead Programmer at Veramed. This role entails a wide variety of responsibilities and client exposure - you are certainly not pigeonholed. Below is a range of the types of tasks you could be carrying out on a daily basis: As with many roles at Veramed, you have the opportunity to shape their direction dependent on client needs and your own career. Some key responsibilities include: - Developing and maintaining complex SAS programs for data manipulation, statistical analysis, report generation, and data visualization. - Utilizing advanced SAS procedures and techniques. - Managing and manipulating large datasets, including data cleaning, transformation, and integration from various sources. - Applying statistical methodologies and techniques to analyze data and interpret results. - Collaborating with statisticians and other team members on study design and analysis plans. - Creating high-quality reports, tables, and graphs to effectively communicate data insights. - Ensuring the accuracy and validity of SAS programs and output through rigorous quality control procedures. - Adhering to regulatory guidelines and industry best practices. - Providing technical guidance and mentorship to junior programmers. - Serving as a subject matter expert in SAS programming. - Collaborating effectively with cross-functional teams, including statisticians, clinicians, data managers, and other stakeholders. - Identifying opportunities to improve programming efficiency and streamline processes. - Developing and implementing programming standards and best practices. - Creating and maintaining clear and concise documentation for SAS programs and analyses. Required Skills: - Advanced proficiency in SAS programming language and various SAS procedures. - Strong understanding of statistical concepts and methodologies. - Experience with data manipulation, cleaning, and transformation techniques. - Ability to write efficient and optimized SAS code. - Excellent problem-solving and analytical skills. - Strong communication and interpersonal skills. - Ability to work independently and as part of a team. Opportunities For: - Development into lead programmer or technical role. - Gaining experience across different therapeutic areas and phases. - Presenting at conferences. - Peer mentoring and/or line management. - Developing innovative solutions to aid study reporting. - Contributing to initiatives that consider employees, the environment, and local communities as part of our B Corp accreditation.,

The role of this position involves extracting, cleaning, analyzing, and visualizing large sets of operational or business data using tools such as Power BI, SAQL, Excel, and other platforms. Your primary responsibility will be to create dashboards and reports that support decision-making, enhance efficiency, and reveal actionable insights. Your key responsibilities will include collecting, cleaning, and transforming raw data from diverse sources into usable formats. You will be responsible for building and maintaining interactive dashboards using Power BI and/or SAQL, developing and managing pivot tables, Excel models, and data visualizations. Additionally, you will generate process improvement ideas based on refined data insights, ensure data accuracy and integrity across reporting systems, and collaborate with process owners to understand their pain points and offer solutions. You will identify trends and present optimization ideas, support internal audits, reporting, and compliance with data-driven insights, as well as train team members on dashboard usage and basic analytics. It will be essential for you to document data cleaning and reporting standards for future reference. The ideal candidate for this role should possess a Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. You should have strong hands-on experience with Power BI, including DAX and Power Query, and a working knowledge of SAQL for building reports in Salesforce CRM if applicable. Advanced Excel skills, including pivot tables, charts, formulas, and data cleaning techniques, are a must. You should also have a solid understanding of data cleaning, transformation, and preparation, the ability to efficiently work with large datasets, an analytical mindset, attention to detail, and a penchant for process improvement ideas. Good communication and presentation skills are necessary to explain dashboards and insights effectively. Required skills include familiarity with SQL for data extraction, experience working with cloud-based data sources or APIs, previous experience in domains like operations, finance, sales, or manufacturing analytics, and knowledge of other visualization tools like Tableau (optional). This is a full-time position with a day shift schedule that requires in-person work.,

Job Summary: You will be responsible for managing lab listings, coordinating with partner labs for onboarding and integration with our systems, and communicating with labs for partnerships. Your role will involve maintaining and updating lab test catalogues, validating lab test details, conducting regular audits of lab data, and ensuring smooth onboarding processes. Key Responsibilities: - Maintain and update lab test catalogues using Excel, including mapping of test codes, prices, and turnaround times. - Validate and verify lab test names, profiles, panels, and packages from partner labs. - Perform regular audits of lab data to ensure consistency and accuracy. - Coordinate and communicate with new and existing lab partners to collect test details, rate cards, and required documentation. - Conduct follow-ups via calls and emails to ensure timely onboarding and data sharing by labs. - Train labs on platform processes and provide support for system-related queries. - Liaise with internal product and tech teams to ensure smooth lab integration. - Escalate issues related to data mismatches, delays, or non-cooperation to the reporting manager. Key Skills Required: - Advanced MS Excel skills including VLOOKUP, Pivot Tables, Data Cleaning, Formatting, etc. - Basic understanding of pathology and diagnostic lab tests (CBC, LFT, Thyroid, etc.). - Experience in B2B coordination or working with diagnostic labs is a plus. - Strong communication and follow-up skills (telephonic and email). - Good analytical and documentation ability. - Ability to multitask and handle lab onboarding pipelines. - Proficiency in English and Hindi (spoken and written). Qualification: - Bachelor's degree in Life Sciences / Biotechnology / BSc / BBA / BMLT/ any related field. - Minimum 1-3 years of experience in a healthcare, diagnostics, or lab aggregator company. Salary: - 25K-30K Working Days: - 6 Days a Week.,

As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. You will collaborate with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Your typical day will involve working on the data platform blueprint and design, collaborating with architects, and ensuring seamless integration between systems and data models. Expected to perform independently and become an SME, you will actively participate/contribute in team discussions and provide solutions to work-related problems. Your responsibilities will include assisting with the data platform blueprint and design, collaborating with Integration Architects and Data Architects, ensuring cohesive integration between systems and data models, implementing data platform components, and troubleshooting and resolving data platform issues. In terms of professional & technical skills, proficiency in Databricks Unified Data Analytics Platform is a must-have. You should have a strong understanding of statistical analysis and machine learning algorithms, experience with data visualization tools like Tableau or Power BI, and hands-on experience implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Furthermore, a solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity, is essential. The candidate for this position should have a minimum of 3 years of experience in Databricks Unified Data Analytics Platform. This position is based at the Bengaluru office and requires a 15 years full-time education.,

As a Short-term Analyst at 60 Decibels, a tech-powered impact measurement company, you will play a crucial role in supporting teams to deliver high-quality outputs for key clients across various sectors. Your responsibilities will involve overseeing data collection, ensuring quality assurance standards are met, owning tasks from start to finish, and contributing to drawing compelling insights for clients. You will have the opportunity to contribute to multiple client projects, ensuring high-quality output and timely delivery to directly impact the achievement of organizational goals. Additionally, you will support fellow team members with workflow and execution, which includes managing surveys on our platform, liaising with the research team during data collection, continuous quality checks, and data cleaning & manipulation. Your role will also involve conducting analysis and creating reports that tell a compelling story and provide actionable insights for clients while modeling the company values. To excel in this role, you are expected to bring compassion, dedication, and an excellent eye for detail. Thriving in a multitasking environment, you take personal accountability seriously and are known for your bias towards action. You are adaptable, embrace strategic risks, and learn from mistakes to drive great outcomes. With 1-2 years of relevant professional experience and a bachelor's degree, you possess excellent PowerPoint presentation and analytical skills, along with strong project management competence and communication abilities. Operating in a fast-paced, entrepreneurial environment, you demonstrate the capacity to prioritize and multitask effectively. Candidates interested in applying are encouraged to do so at their earliest convenience, as applications will be reviewed on a rolling basis. The compensation for this role ranges from INR 70,000 to 85,000 per month, with a duration of service spanning 12 weeks and the possibility of extension through December 2025. The Short-term Analyst will be based in Bengaluru, with the potential for a hybrid work setup. At 60 Decibels, you will be part of a fun and hardworking global team comprising smart, mission-driven individuals who blend an entrepreneurial spirit with a commitment to driving positive change in the world. The company culture is characterized by a slightly nerdy, not-take-ourselves-too-seriously vibe, as reflected in the monthly newsletter, The Volume. Full-time employees enjoy extra perks such as an unlimited leave policy and a monthly recharge day on the first Friday of each month. With a globally distributed team, you will have the opportunity to collaborate with colleagues from around the world. To learn more about 60 Decibels and our team values, we invite you to sign up to receive The Volume, visit our website at 60decibels.com, and read about our team values on our website. Please note that completing the application questionnaire will help us get to know you better, and we prioritize candidates who provide detailed responses to the questionnaire.,

You should have a minimum of 2 to 3 years of Clinical Data Management experience. It is essential to have exposure to Study Start-up, Conduct, and Study Closeout. If you do not have experience in all three phases, you should have good exposure to a minimum of two phases. Hands-on experience with Rave (Medidata) or Veeva EDC is a must. You must possess the following skills: - Setup experience with knowledge of DMP (Data Management Plan) creation, Edit check creation, Data Transfer specification creation, and UAT knowledge (not mandatory). - Conduct experience including Data Cleaning (Query Handling), Postproduction Changes, SAE reconciliation, LAB Reconciliation, ECOA/EPRO Reconciliation, PK/PD Reconciliation, and Dataset review. - Study Lock experience with expertise in Freezing/Locking. Having a client-facing role and mentoring experience are considered added advantages. Your responsibilities will include: 1. Executing Data Management Activities such as Data Cleaning, Manual and System checks, Updating relevant trackers, Discrepancy and query management, Issue resolution, and Database lock activities. 2. Participating in innovation and process improvement initiatives. 3. Identifying and developing action plans in coordination with the TL for activities not meeting the client SLAs. 4. Archiving all necessary information for audit purposes according to quality and security requirements. 5. Supporting multiple clinical trials across diverse therapeutic areas and providing technical oversight when required. 6. Having hands-on experience in Study Setup. 7. Working exposure in RAVE/VEEVA EDC and knowledge of Spotfire reporting tool. 8. Experience in third-party data handling (Lab, PK, Image, etc.) and client-facing role with experience in client communication.,

As a Power BI Analyst at Big Language located in Sector 98, Noida, you will be working in the US Shift (Night shift) with a salary ranging from INR 8-9 LPA. Big Language is dedicated to helping individuals achieve their financial goals through professional investment management and personalized planning. Join our finance team to collaborate with skilled professionals who are committed to continuous improvement and staying ahead in the industry. We are looking for a candidate with at least 5-6 years of robust experience in Power BI, SQL, and Advanced Excel. The primary focus of this role is on analyst experience rather than development. The ideal candidate should be proficient in Data Cleaning and Data Analysis. Candidates with an academic background in Economics (Hons) or Mathematics (Hons) from Delhi University or another reputable institution are preferred for the data analyst position. If you are passionate about data analysis, have a strong background in Power BI, SQL, and Advanced Excel, and possess experience in Data Cleaning and Data Analysis, we encourage you to apply and be a part of our dynamic finance team at Big Language.,

Wells Fargo is looking for a Senior Analytics Assistant to handle electronic reporting activities related to collateral monitoring. Your responsibilities will include preparing client files, analyzing results, and identifying and evaluating ineligible collateral throughout the credit life cycle. In this role, you will support the performance of less experienced staff and the overall effectiveness of the team. You will proactively provide feedback, suggest improvements to processes and tools, and perform complex administrative tasks. Additionally, you will update project logs, participate in research and data gathering, and provide expertise and guidance to junior staff members. The ideal candidate should have at least 4 years of experience in Analytics and Reporting. Advanced Excel skills with knowledge of complex formulas and VBA will be advantageous. Experience in data analysis, validation, visualization, and reporting is preferred. A good understanding of the credit life cycle, collaterals, and various types of collateral is essential for this role. Key responsibilities will include reviewing and preparing collateral reporting files, troubleshooting file formats, collaborating with multiple teams to resolve issues, performing trend analysis, and identifying root causes for variations in collateral. You will also create ineligibles schedules against client collateral reporting files and ensure accurate information extraction. The working hours for this position are from 17:30 PM to 02:30 AM, with flexibility for daylight saving adjustments. The posting end date for this job is 21 Jul 2025, but it may close early due to a high volume of applicants. At Wells Fargo, we value equal opportunity. We encourage applications from all qualified candidates, including women, persons with disabilities, aboriginal peoples, and visible minorities. Accommodations for applicants with disabilities are available upon request during the recruitment process. If you require a medical accommodation during the application or interview process, please visit Disability Inclusion at Wells Fargo. Our company maintains a drug-free workplace, and we have strict recruitment and hiring requirements in place to ensure a fair and transparent process. Please note that third-party recordings are prohibited unless authorized by Wells Fargo, and candidates are expected to represent their own experiences during the recruiting and hiring process. Reference Number: R-472392,

Job Description: As an MIS Executive (Data Analyst) at our Head Office in Chhatrapati Sambhajinagar (Aurangabad), Maharashtra, you will be responsible for analyzing, reporting, and visualizing data to provide actionable insights that support strategic decision-making. With a minimum of 2 to 5 years of relevant experience, you will possess a strong technical background in tools such as Python, SQL, MS Excel, and Power BI. Your role will involve transforming raw data into valuable information through data cleaning, visualization, and analysis processes. Key Responsibilities: - Collect, clean, and validate data from various sources to ensure accuracy and consistency. - Develop and maintain dashboards and reports using Power BI, Excel, and other visualization tools. - Write complex SQL queries to extract and manipulate data from databases. - Utilize Python for data processing, automation, and advanced analytics. - Perform data cleaning, transformation, and enrichment to prepare datasets for analysis. - Analyze trends, patterns, and anomalies to facilitate informed business decisions. - Collaborate with cross-functional teams to understand data requirements and deliver insights. - Maintain documentation for data processes, reports, and dashboards. - Ensure data security and integrity in all reporting activities. Required Skills & Qualifications: - Bachelor's degree in Computer Science, Information Technology, Statistics, or a related technical field. - 2-5 years of experience in data analysis, MIS reporting, or business intelligence. - Proficiency in Python, SQL, MS Excel (Advanced), and Power BI. - Strong understanding of data cleaning, transformation, and visualization techniques. - Excellent analytical and problem-solving skills. - Ability to work independently and manage multiple tasks. - Good communication skills to present findings clearly to stakeholders. Preferred Skills: - Experience with other BI tools (e.g., Tableau, Google Data Studio). - Knowledge of statistical analysis or machine learning basics. Growth & Benefits: - Opportunity to work on high-impact projects with real business outcomes. - Exposure to modern data tools and technologies. - Supportive work environment with learning and development opportunities. - Competitive compensation for the right candidate. Job Types: Full-time, Permanent Benefits: - Health insurance. - Paid sick time. - Provident Fund. Schedule: Day shift Work Location: In person,

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

The AI & Data Intern position at Novasensa in Delhi NCR offers a unique opportunity to work on building a custom AI Assistant aimed at automating experiments, analyzing lab data, and supporting decision-making to promote sustainability. Novasensa is a deep-tech sustainability company focusing on lithium-ion battery and e-waste recycling, contributing to clean energy, circular economy, and India's mineral self-reliance. During the minimum 3-month internship (extendable to 6 months), you will have the chance to use your Python and data skills on a real-world AI system, gaining valuable experience in automation, data visualization, and semantic search. The internship provides mentorship from a startup team working at the intersection of sustainability, engineering, and software, allowing you to contribute to India's green growth and circular economy mission. As an AI & Data Intern, your responsibilities will include programming and automation tasks such as writing Python scripts to process experimental data, automating R&D tasks, and assisting in building backend tools for experiment tracking and analysis. Additionally, you will be involved in data analysis and visualization by analyzing lab results, generating visual summaries, and creating dashboards using tools like Excel, Python (Pandas, Matplotlib), or Streamlit. You will also have the opportunity to contribute to AI Assistant Development by assisting with document parsing, semantic search, and testing and improving the performance of the AI assistant using real lab data. Novasensa is seeking curious and motivated learners with basic to intermediate Python programming skills, an understanding of data structures, functions, file handling, and familiarity with data visualization tools. Exposure to AI tools and an interest in clean energy, recycling, or sustainability are considered advantageous for applicants. Candidates pursuing or recently completing degrees in Computer Science, Data Science, AI, ML, Statistics, Mathematics, or related fields are encouraged to apply. To apply for this internship, please email hr@novasensa.com with your resume in PDF format and a short note (max 300 words) explaining why you want to intern at Novasensa and what you hope to learn and contribute. Applications are reviewed on a rolling basis, and early applicants are preferred. Join Novasensa to utilize your coding skills for a cleaner planet and make a positive impact through innovation and sustainability.,

As a Data Research Associate at Simform, you will be responsible for researching the web using various search engines and social networking sites to identify potential clients interested in outsourcing software services. Your role will involve understanding client personas, identifying key decision-makers such as CEOs, CXOs, and IT Managers, and gathering contact information for valuable prospects. You will be tasked with cleaning and verifying data to ensure that prospects match our target persona and do not have existing outsourcing partners in our competition. Additionally, you will research potential clients" portfolios to understand their business requirements and provide relevant information to our Sales team for pitching services or nurturing relationships. The ideal candidate for this role should have a degree or diploma in Computer Application studies or equivalent. It is essential to stay updated with new technologies and company offerings. Being target-oriented, focused, and energetic is crucial for success in this position. Joining Simform offers you the opportunity to be part of a young team with a thriving culture. Our flat-hierarchical and growth-focused environment provides well-balanced learning and growth opportunities. Employees enjoy benefits such as free health insurance, office facilities with a game zone, an in-office kitchen with affordable lunch service, and free snacks. We also offer sponsorship for certifications/events, library services, flexible work timing, leaves for life events, and work from home or hybrid options.,

Key Responsibilities: Extract, clean, and analyze large datasets using SQL and Advanced MS Excel . Leverage Advanced Excel skills (including Pivot Tables, VLOOKUP/XLOOKUP, INDEX-MATCH, Macros, conditional formatting, and data validation) for data analysis and reporting. Build and maintain basic dashboards and reports using Power BI and Tableau . Identify trends, patterns, and actionable insights to support business decisions. Automate and streamline reporting processes using Advanced Excel and SQL queries. Collaborate with cross-functional teams to gather requirements and deliver tailored data solutions. Clearly document analysis methodologies and present insights to technical and non-technical stakeholders.

You will be responsible for collecting and entering clinical trial data from various sources, ensuring that it complies with study protocols and regulatory standards. Additionally, you will review the data for discrepancies, missing values, and inconsistencies, perform data cleaning, and uphold data quality standards. You will also be tasked with identifying, escalating, and resolving data queries in collaboration with clinical teams and study sites. In this role, you will maintain and manage essential study documents such as case report forms (CRFs), data management plans, and databases. Effective collaboration with Clinical Research Associates (CRAs), Clinical Data Managers, and other stakeholders is essential to ensure the timely and accurate collection of data. Furthermore, you will provide support for the maintenance and configuration of data management systems and software to guarantee the smooth flow of data. This position is full-time and requires work to be conducted in person. The benefits offered for this position include health insurance.,

Genpact is a global professional services and solutions firm that is committed to delivering outcomes that shape the future. With over 125,000 employees in more than 30 countries, we are driven by curiosity, agility, and the desire to create lasting value for our clients. Our purpose is to relentlessly pursue a world that works better for people. We serve and transform leading enterprises, including the Fortune Global 500, by leveraging our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently seeking applications for the position of Associate, Data Analyst to join our team. As an Associate, Data Analyst, you will be tasked with performing pricing of spare parts and driving data analytics for the business. Your responsibilities will include reviewing pricing on a periodic basis, identifying gaps, and making recommendations to enhance pricing strategies. Your responsibilities will include: - Data extraction, collation, and cleaning in MS Excel/Access - Ensuring the pricing data in ERP is kept up to date by identifying necessary activities and executing them - Handling ad hoc pricing analytics requests - Conducting various statistical and pricing analyses in Excel/Access - Improving process efficiencies through digitization and the implementation of machine learning algorithms - Supporting clients on data systems and analysis - Using statistical tools to sanitize, segment, and normalize historical pricing information and master invoice data sets for better price rate distribution visibility Qualifications we are looking for: Minimum qualifications: - Master's degree in research, statistics, math, economics, or a related analytical discipline - Fresh graduates from reputable institutions or 2 years of relevant work experience in the data analytics domain - Curiosity is a key trait we seek Preferred qualifications: - Proficiency with analytical and presentation tools such as Excel, VBA, and PowerPoint - Strong analytical skills with the ability to gather, analyze, and leverage large data sets for key business decisions - Proficiency in basic statistics - A can-do mindset - Knowledge of R, Python, Tableau, and Power BI is advantageous If you are passionate about data analytics and pricing strategies, and if you possess the qualifications and skills mentioned above, we encourage you to apply for this exciting role of Associate, Data Analyst at Genpact.,

As a Data Scientist specializing in Generative AI & ML Engineering, your primary responsibility will be to research and develop AI algorithms and models. You will be tasked with analyzing data, constructing predictive models, and employing machine learning techniques to address intricate problems. Your proficiency should encompass a range of skills including proficiency in languages/frameworks such as Fast API and Azure UI Search API (React), as well as expertise in databases and ETL tools like Cosmos DB and Data Factory Data Bricks. In addition, you should have a strong command of Python and R, familiarity with Azure Cloud Basics and Gitlab Pipeline, and experience in deploying AI solutions end-to-end. In addition to your proficient skills, you are expected to possess expert-level knowledge in areas such as Azure Open AI, Open AI GPT Family of models, and Azure Storage Account. Your expertise should extend to machine learning algorithms, deep learning frameworks like TensorFlow and PyTorch, and a solid foundation in mathematics including linear algebra, calculus, probability, and statistics. Furthermore, your role will require proficiency in data analysis tools such as Pandas, NumPy, and SQL, as well as strong statistical and probabilistic modeling skills. Experience with data visualization tools like Matplotlib, Seaborn, and Tableau, along with knowledge of big data technologies like Spark and Hive, will be essential for success in this position. Overall, your experience in AI-driven analytics and decision-making systems, coupled with your ability to develop and deploy AI frameworks and models, will be critical in delivering effective solutions to complex challenges.,

You have 2 to 3 years of minimum Clinical Data Management experience. You must have exposure to Study Start up, Conduct, and Study Closeout. If you do not have experience in all three phases, you should have good exposure to a minimum of two phases. Hands-on experience with Rave (Medidata) or Veeva EDC is a must. In terms of setup, you should have knowledge of DMP (Data Management Plan) creation, Edit check creation, Data Transfer specification creation, and some understanding of UAT (User Acceptance Testing) although it's not mandatory. Your experience in conducting tasks should include Data Cleaning, Query Handling, Postproduction Changes, SAE reconciliation, LAB Reconciliation, ECOA/EPRO Reconciliation, PK/PD Reconciliation, Dataset review, among others. You should be familiar with Study Lock activities such as Freezing/Locking and have good experience with Study lock procedures. Having a client-facing role and the ability to mentor others would be advantageous in this position. Your responsibilities will include executing Data Management Activities like Data Cleaning, Manual and System checks, updating relevant trackers, managing discrepancies and queries, resolving issues, and conducting Database lock activities. You will be expected to participate in innovation and process improvement initiatives, and to identify and develop action plans in coordination with the Team Lead for activities not meeting the client SLAs. Furthermore, you will need to archive all necessary information for audit purposes according to quality and security requirements to ensure reliable and timely retrieval of documentation and information. In addition, you will support multiple clinical trials across diverse therapeutic areas and provide technical oversight when required. Having hands-on experience in Study Setup and working exposure in RAVE/VEEVA EDC, as well as knowledge of the Spotfire reporting tool, will be beneficial. Experience in third-party data handling (Lab, PK, Image, etc.), client-facing roles, and effective client communication will also be valuable in this role.,

Job Description: As an MIS Executive (Data Analyst) at our Head Office in Chhatrapati Sambhajinagar (Aurangabad), Maharashtra, you will be responsible for analyzing, reporting, and visualizing data to provide actionable insights for strategic decision-making. With a minimum of 2 to 5 years of experience, you will have a solid foundation in technical skills such as Python, SQL, MS Excel, and Power BI. Your role will involve transforming raw data into meaningful information to support various business functions. Your key responsibilities will include collecting, cleaning, and validating data from multiple sources to ensure accuracy and consistency. You will develop and maintain dashboards and reports using tools like Power BI and Excel, while also writing complex SQL queries to extract and manipulate data from databases. Utilizing Python for data processing, automation, and advanced analytics will be a crucial part of your daily tasks, along with performing data cleaning, transformation, and enrichment to prepare datasets for analysis. Additionally, you will analyze trends, patterns, and anomalies to provide valuable insights to stakeholders and collaborate with cross-functional teams to meet data requirements. To excel in this role, you must hold a Bachelor's degree in Computer Science, Information Technology, Statistics, or a related technical field, along with at least 2 years of experience in data analysis or MIS reporting. Proficiency in Python, SQL, MS Excel (Advanced), and Power BI is essential, as well as a strong understanding of data cleaning, transformation, and visualization techniques. Your analytical and problem-solving skills, coupled with the ability to work independently and manage multiple tasks, will be key to your success. Effective communication skills will also be required to present findings clearly to stakeholders. While experience with other BI tools like Tableau or Google Data Studio and knowledge of statistical analysis or machine learning basics are preferred, the role offers an opportunity to work on high-impact projects, exposure to modern data tools and technologies, and a supportive work environment with learning and development opportunities. A competitive salary will be offered to the right candidate, along with benefits such as health insurance, paid sick time, and Provident Fund. If you are a detail-oriented and technically proficient individual with a passion for data analysis and visualization, we invite you to apply for this Full-Time, Permanent position as an MIS Executive (Data Analyst) at our Head Office in Chhatrapati Sambhajinagar (Aurangabad), Maharashtra. Job Types: Full-time, Permanent Benefits: - Health insurance - Paid sick time - Provident Fund Schedule: Day shift Work Location: In person,