401 Data Cleaning Jobs

As a Data Analyst (SQL) at our company, your role will involve utilizing your strong proficiency in SQL (SQL Server, MySQL, PostgreSQL, etc.) to manipulate, transform, and clean data. You will also be expected to work with business intelligence tools like Power BI or Tableau, and have familiarity with ETL processes and data integration. Key Responsibilities: - Utilize SQL to manipulate, transform, and clean data - Work with business intelligence tools such as Power BI or Tableau - Implement ETL processes and ensure smooth data integration Qualifications Required: - 5-6 years of experience in a similar role - Strong proficiency in SQL (SQL Server, MySQL, PostgreSQL, etc.) - Experience in data...

As a Python AI/ML Developer at the company, your main responsibilities will include: - Assisting in the development and implementation of machine learning models and algorithms. - Writing clean, efficient, and reusable Python code for data processing, modeling, and deployment. - Working on datasets by performing tasks such as data cleaning, preprocessing, feature engineering, and visualization. - Collaborating with senior data scientists and developers to build scalable ML solutions. - Conducting literature reviews and staying updated on the latest ML/AI research. - Contributing to model deployment and integration with APIs or web applications (basic knowledge is sufficient). The desired pro...

Role Overview: As a member of our team, you will be responsible for gathering requirements from multiple teams, management leaders, and domain experts to formulate business metrics. You will be required to extract, manipulate, and analyze data from large databases, simplify and automate existing complex reports, build dashboards, and other metrics monitoring tools. Additionally, you will play a crucial role in mentoring, guiding, and supporting the in-house teams for advanced features of the power platform, particularly Power BI. Key Responsibilities: - Highest level expertise in Power BI - 2-4 years of experience with data dashboards - Experience building self-serve systems - Building Dashb...

Role Overview: PharmaACE is a growing Global Healthcare Consulting Firm, headquartered in Princeton, New Jersey, with expert teams of Business Analysts across various locations. The firm provides Analytics and Business Solutions to a diverse clientele in the BioPharma sector, with expertise in Forecasting, Business Analytics, Competitive Intelligence, and more. They cater to clients in different therapeutic areas such as Oncology, Immuno-science, CNS, CV-Met, and Rare Diseases, across Primary Care, Specialty Care, and Hospital business units. Key Responsibilities: - Analyze different pharmaceutical/life sciences data sets including claims data, electronic medical records, patient level data,...

As an intern at Total Environment, you will have the following day-to-day responsibilities: - Conduct data cleaning activities for the internal design team. - Assist the Estimation team with day-to-day operational work. - Collaborate with internal stakeholders. Total Environment is an architectural design, construction, and real estate development company that has constructed high-quality, completely customized, and furnished homes in Bangalore and Pune, each with its garden. The design philosophy of Total Environment focuses on blending in with nature, providing a strong connection to the surroundings, and handcrafting homes with warm finishes and sensitive detailing. The company's approach...

As a Scripting and Automation Specialist, you will be responsible for developing, maintaining, and debugging Google Apps Scripts to automate workflows across Google Workspace, with a primary focus on Google Sheets. Your key responsibilities will include: - Automating repetitive tasks such as data importing, cleaning, formatting, and calculations to enhance efficiency and reduce manual errors. - Creating custom functions and user interfaces within Google Sheets to improve functionality for non-technical users. - Integrating Google Sheets with other Google services and external APIs to build end-to-end solutions. You will also be involved in reporting and data analysis, where you will: - Desig...

Role Overview: As a Senior Level Data Engineer / Data Analyst technical lead, you will be responsible for utilizing your data analytics experience in Databricks, Pyspark, and Python. Your role as a key team member requires great communication skills, proactiveness in risk & issue management, and expertise in designing and implementing scalable, secure, and cost-efficient data solutions on AWS. Key Responsibilities: - Hands-on experience in data analytics with Databricks on AWS, Pyspark, and Python - Migration of data asset to the cloud using a GenAI automation option - Migration of data from on-premises to AWS - Developing data models and delivering data-driven insights for business solution...

MIS Programmer needs to be proficient in Python, SQL, Power BI, and Google Dashboards. The ideal candidate will posMIs progsess an analytical mindset and be adept at data cleaning, data wrangling, and data presentation, providing initial insights from data analysis. Roles and Responsibilities: Develop and maintain data pipelines using Python and SQL to ensure data integrity and accuracy. Perform data cleaning and wrangling to prepare datasets for analysis, ensuring data is in a usable format. Create interactive dashboards and visualizations using Power BI and Google Dashboards to effectively present findings and insights. Collaborate with cross-functional teams to understand their data needs...

JD: Prototype, develop, deploy and scale AI solutions tailored to customer needs, including both traditional machine learning and LLM-based solutions Manage data pipeline for AI model training, including data collection, cleaning, preprocessing, and ensuring data quality and integrity to support accurate and reliable model training Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch or TensorFlow

Job description: 1. Extract, clean, and structure prospect and company data from Google Apollo, ZoomInfo, Sales Navigator, and other B2B databases. 2. Develop and implement data mining strategies to identify high-value leads, key decision-makers, and market trends. 3. Validate and deduplicate data to ensure accuracy and compliance with data privacy regulations. 4. Automate data extraction and integration workflows where possible. 5. Monitor data quality and optimize mining techniques for efficiency. 6. Generate reports and dashboards to track lead generation performance and ROI. 7. Experience in fintech and banking sector is a plus. Preference: Candidates strictly from Mohali and Chandigarh,...

Role Overview: You are an expert in all aspects of data management and analysis with a strong ability to convert data into meaningful insights. Your role involves leading the end-to-end business intelligence lifecycle from gathering business requirements, data provisioning, and modeling, to reporting and insight generation enabling strategic decision-making across teams. Key Responsibilities: - Lead data collection, validation, transformation, and analysis from multiple internal and external sources. - Translate complex business problems into data models and analytical frameworks. - Source and organize data using advanced data provisioning tools, ensuring datasets are optimized for analysis....

As a Finance Data Intelligence Specialist Senior at EY, you will be responsible for designing, developing, and deploying data-driven solutions to enhance supply chain operations and decision-making processes. You will have the opportunity to work closely with IT, supply chain, and other stakeholders to understand their data analysis needs, and translate them into technical requirements. Your key responsibilities will include: - Conducting data assessment for clients using different frameworks and supporting them in building a successful data strategy. - Developing strategies to validate, clean, transform, and monitor data to ensure accuracy, consistency, completeness, reliability, and timeli...

As a member of the Digital Advisory team at Arcadis, your role will involve assisting in data extraction from various sources such as PDFs, images, and databases. You will also support optical character recognition processes for digitizing data from images and contribute to understanding data through natural language processing. Your responsibilities will extend to collaborating with business domain experts to derive business value drivers and documenting model design choices and algorithm selection processes. Additionally, you will collaborate effectively in cross-functional teams within the CoE and the organization at large, proactively seeking opportunities to contribute beyond assigned t...

As a Team Lead Procurement at a US based organization in Bangalore Whitefield, you will play a crucial role in overseeing procurement activities. Your responsibilities will include: - Bachelor's degree in Supply Chain Management, Procurement, Business Analytics, Engineering, Finance, or a related field. - Master's degree or MBA (preferred) with a focus on Analytics, Operations, or Procurement. - Certifications in data analytics tools such as Microsoft Power BI, Tableau, SQL, or Python are highly desirable. To excel in this role, the following skills will be advantageous: - Advanced Excel skills with strong knowledge of formulas, pivot tables, lookups, and data modeling. - Proficiency in data...

As a Data Science and Analytics Trainer at Maitexa Technologies in Calicut, you will play a crucial role in turning data into valuable insights and guiding students through real-world data challenges. Your passion for teaching and expertise in various tools and concepts will be essential in mentoring aspiring data professionals. Key Responsibilities: - Build a strong foundation in Python, NumPy, Pandas, Matplotlib, and Scikit-Learn among students - Provide expert guidance in Data Cleaning, Exploratory Data Analysis, Machine Learning, and Statistics - Teach the usage of Power BI, Tableau, Excel, and SQL for effective data analysis - Create engaging capstone projects, case studies, and industr...

As a Data Analyst with over 5 years of experience in roles such as Business Intelligence Analyst, you will be required to have a strong focus on Microsoft data technologies. Your responsibilities will include: - Proficiency in SQL for data querying, manipulation, and database management. - Expertise in Microsoft Power BI, which includes: - Connecting to various data sources. - Data modeling using DAX and relationships. - Creating interactive reports and dashboards. - Publishing and managing reports in Power BI Service. - Designing, developing, and maintaining data pipelines, ETL processes, and data warehouses using Azure Data Factory, Synapse Analytics, SQL Server, and Databricks. - Demonstr...

You will be a part of the Climate Change and Sustainability Practice at IPE Global, collaborating with a team of skilled professionals to deliver impactful programmes. The practice has a proven track record of successful projects supported by esteemed donors and implemented in collaboration with renowned research institutions, civil society organizations, and public institutions. - Assist the team in conducting literature reviews and background research on GIS and remote sensing applications in climate studies. - Contribute to desk research on policy frameworks integrating GIS and remote sensing for climate change adaptation and mitigation. - Support the acquisition and preprocessing of geos...

Role Overview: As a Data Analyst at our company, you will play a crucial role in collecting, processing, and analyzing data from various online sources to support IEPF share recovery. Your expertise in Python programming, web scraping, and data analysis will be essential in providing actionable insights for business decision-making. Key Responsibilities: - **Data Scraping:** Utilize Python and web scraping techniques to extract data from financial, regulatory, and shareholding-related websites for IEPF share recovery. - **Data Cleaning & Preprocessing:** Clean, process, and structure raw data to ensure data quality and integrity for analysis purposes. - **Data Analysis & Visualization:** Ana...

Role Overview: You will be responsible for training and encouraging staff to maintain complete databases for subsequent analysis. Your duties will include gathering raw data from relevant individuals in each department, collating the data for interpretation, checking and cleaning the data, analyzing the data considering missing information, outliers, and other variables, reporting insights obtained to inform business strategies, consulting on areas of uncertainty to optimize data-derived ideas, and creating and updating data sets according to the evolving needs of the business. Key Responsibilities: - Train and encourage staff to maintain complete databases - Gather raw data from relevant in...

As an intern, your day-to-day responsibilities will include: - Conducting market/data research and performing business analytics - Managing and maintaining the management information system - Collecting, cleaning, and organizing business data to create structured reports - Cold calling and pitching for the company Qualifications required for this internship: - Available for full-time (in-office) internship - Can start the internship between 27th Feb'25 and 1st Apr'25 - Available for 1 month - Have relevant skills and interests - Pursuing or have completed graduation - Interest in market research, data management, and business strategy - Proficiency in Excel, Google Sheets, and data visualiza...

Role Overview: You will be responsible for leveraging your strong technical skills in Python, SQL, machine learning concepts, and data visualization tools to work on data projects. Your role will involve developing data pipelines, optimizing database queries, and ensuring data quality and validation. Additionally, you will be required to have expertise in AI and prompt engineering, including prompt design, application development, and AI model deployment. Key Responsibilities: - Strong proficiency in Python with Pandas, SQL expertise, and version control systems (Git) - Experience with data pipeline development, ETL processes, and data warehouse design - Knowledge of statistical methods, mac...

Role Overview: As a Data Analyst at PureSpectrum, you will be responsible for product-related analyses, reporting, and insights. Working within the Analytics and Data Science organization, you will report directly to the VP - Analytics and Data Science. Your role will involve understanding business issues, developing predictive models, executing end-to-end projects, and effectively communicating results to both technical and non-technical audiences. You will be required to work in a fast-paced environment and collaborate with global team members and technology partners. Key Responsibilities: - Understand business issues, formulate and test hypotheses using appropriate statistical methods, an...

Responsible for accurate data entry, updating records, maintaining databases, and verifying information. Must have good typing speed, attention to detail, and basic computer knowledge (MS Excel, Word). Fresher/experienced both can apply.

In the role of Senior Manager, Data Analytics at Novartis, you will be responsible for managing and analyzing large volumes of data to extract valuable insights. Your exceptional analytical skills will be utilized to manipulate and interpret complex datasets using various technologies, including programming languages. You will also play a crucial role in fostering strong relationships with global stakeholders and effectively communicating business analyst needs to data engineers or software engineers. Key Responsibilities: - Utilize statistical techniques and data mining methods to analyze large datasets, identify trends, patterns, and correlations to uncover valuable insights - Thoroughly c...

As a Data Scientist at our company in Thiruvananthapuram, you will be expected to have 5 to 9 years of hands-on experience in data science projects, preferably across different domains. Your role will involve utilizing strong statistical expertise, including hypothesis testing, linear and non-linear regression, classification techniques, and probability distributions. You should demonstrate a proven ability to translate complex business problems into data science use cases with practical impact. Your key responsibilities will include: - Building and validating machine learning models, including classification, regression, and survival analysis. - Proficiency in Python, including libraries li...