256 Data Cleaning Jobs - Page 10

Job Requirements Education: Bachelors degree (Statistics, Business Analytics, Data Science, Math, Economics, etc.) Masters degree preferred (MBA/MS/M.Tech in Computer Science or related field) Experience: 5–7 years in a Data Science/Advanced Analytics role Behavioral Skills: Delivery Excellence Business Orientation Social Intelligence Innovation and Agility Knowledge & Technical Skills: Functional analytics experience (Supply Chain, Marketing, Customer Analytics, etc.) Statistical modeling using tools such as R, Python, KNIME Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference) Experience building and evaluating machine learning models MLOps tools and practices (MLflow, DVC, Docker, etc.) Strong Python programming (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.) Experience with big data technologies (AWS, Azure, GCP, Hadoop, Spark) Familiarity with relational (MySQL, SQL Server) and non-relational (MongoDB, DynamoDB) databases BI and reporting tools (Power BI, Tableau, Alteryx) Proficiency with Microsoft Office applications (especially Excel) Roles & Responsibilities Analytics & Strategy: Analyze large-scale structured and unstructured data to develop insights and machine learning models across various business domains Apply statistical and machine learning techniques to generate value from operational, financial, and customer data Recommend best-fit algorithms and models with clear justifications for business use Leverage cloud platforms for modeling and big data analysis; utilize data visualization tools to communicate results Operational Excellence: Follow industry-standard coding practices and development lifecycles Formulate hypotheses, develop analytics frameworks, and bring structure to complex problems Collaborate with Data Engineering to maintain core data infrastructure and automate analytical processes Stakeholder Engagement: Work cross-functionally with business stakeholders, engineers, and visualization experts to deliver impactful projects Communicate complex models and results to non-technical stakeholders in a clear and compelling way

1.Research skills development Proposal Writing: Follow the pre-requisites for the proposal - Need for study, objective of study, decide the research approach and methodology, research design elements, sample plans, etc Draft the proposal adhering as per the project brief Preparation of 1st draft Research Instruments like Questionnaires, exploratory notes, researchstimulus materials, secondary market information. Field Work Material Preparation Should be able to preparerobust and errorfree material for launch of field work. This Includes- Brief note, budgets, show cards etc Questionnaire preparation Learn the basicsof questionnaire design,flow, filters, routing, different kinds of scales, implications of using different scales, preparing 1st draft of quality questionnaires for simple projects as guided. Digitalizing the questionnaire with the help of scripting team 2.Project Management Project Setup, Execution & Commercial Management Understand the process of Field Work & to learn to give comprehensive field briefing after Understanding the objectives of the study from the senior Project Planning & prioritizing the project activities as per timelines Sharing research study pre-requisites to the PM teams Debriefing the interviewers and POG team on the study and questionnaire Finalizing Estimates, Costing & Budgeting for projects and RQs are correct Launching the projects online in the necessary software Learn & Prepare the Analysis Plan for simple projects by understanding how data should be analyzed, preparing the basic code list as guided by supervisor, preparing 1st cut analysis of data for review. Constant Coordination with Project Management & Field teams Manages timely Quotas Assist seniors in preparing 1st cut presentations Raise timely invoices and submit to the senior/finance department 3.Client Management Client Servicing Manage clients independently for routine matters and address their queries ongoing projects Attend Client Meetings- Make Notes and prepare Minutes of the Meeting. Provide Error Free Insights /Deliverables to clients Learn and develop awareness on the category, brands or industry on the project working on Generate Client Satisfaction scores /Testimonials 4.Time Management Follow up with the relevant support teams adhering to the timelines Timely submission of client deliverables Manage and Multitask project activities

RAG Pipeline Architectures Fine/Prompt/Instruction Tuning of LLMs machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn). data wrangling, data cleaning, data preprocessing, and data

About the job: Key responsibilities: 1. Outbound calls to potential customers using provided scripts 2. Generate leads through references or social media 3. Maintain accurate records in our CRM system Who can apply: Only those candidates can apply who: have minimum 1 years of experience Salary: ₹ 3,80,000 - 5,00,000 /year Experience: 1 year(s) Deadline: 2025-06-22 23:59:59 Other perks: 5 days a week Skills required: Data Cleaning and Customer Acquisition Other Requirements: 1. International Outbound call experience is a must (Preferably Australia) 2. Candidates preferring to work from home also can apply (Only Laptop with headset & strong internet connection is sufficient About Company: Into energy efficient solutions for commercial & residential @ Australia. We are into solution of Water heaters, Lighting & Solar

Coordinating with different business analysts, Importing, cleaning, transforming, validating or modeling data with the aim of understanding or making conclusions from the data for decision making purposes, Extracting company information from different sources as per the requirements, Finding relevant information using Search-Engines like Google, Conducting research on executive profiles from respective company sites, Analyzing companies financial reports, Collecting data from different sources, data management, validations & final structuring using MS Excel, MS Word, MS Access and Internet. Sound knowledge of MS Excel, Access, Word & Internet

Job Title: Data Analyst Experience: 5 8 Years Location: Bangalore (BLR) Notice Period: Immediate to 15 Days Job Summary: We are looking for a seasoned Data Analyst with 5–8 years of professional experience to join our analytics team in Bangalore. The ideal candidate will have strong technical expertise in SQL, Python, data visualization tools, and statistical analysis. You will play a crucial role in uncovering insights that drive strategic business decisions. Key Responsibilities: Analyze complex datasets to extract actionable insights aligned with business objectives. Build, optimize, and maintain dashboards and reports using BI tools. Write complex SQL queries for data extraction, transformation, and reporting. Apply statistical techniques to identify trends, patterns, and anomalies. Collaborate with product managers, engineers, and other stakeholders to define metrics and KPIs. Automate data workflows and streamline reporting processes. Present findings and recommendations to senior leadership in a clear and concise manner. Mandatory Technical Skills: SkillDescription SQL Advanced query writing, joins, aggregations, window functions Python Data manipulation with Pandas, NumPy; basic scripting; data visualization Data Visualization Hands-on with Power BI , Tableau , or LookerExcel Advanced functions (VLOOKUP, pivot tables, macros) Statistics Hypothesis testing, regression, forecasting ETL/Data Pipelines Understanding of data ingestion and transformation processes Cloud (Preferred) Basic knowledge of AWS/GCP/Azure data services Preferred/Bonus Skills: R for statistical computing Experience with big data tools (Spark, Hive) Exposure to A/B testing and predictive modeling Familiarity with data warehousing concepts and tools like Snowflake or Redshift Experience working with version control (Git) and Agile methodologies

We are looking for a skilled Data Analyst with 3 to 6 years of experience to join our team in Bengaluru. The ideal candidate will be responsible for transforming data into actionable insights and supporting decision-making in a global organization focused on pricing and commercial strategy. ### Roles and Responsibility Analyze and interpret structured and unstructured data using statistical and quantitative methods to generate actionable insights and ongoing reports. Design and implement data pipelines and processes for data cleaning, transformation, modeling, and visualization using tools such as Power BI, SQL, and Python. Collaborate with stakeholders to define requirements, prioritize business needs, and translate problems into analytical solutions. Develop, maintain, and enhance scalable analytics solutions and dashboards that support pricing strategy and commercial decision-making. Identify opportunities for process improvement and operational efficiency through data-driven recommendations. Communicate complex findings clearly and concisely to both technical and non-technical audiences. ### Job Requirements Proven experience as a data analyst, business analyst, data engineer, or similar role. Strong analytical skills with the ability to collect, organize, analyze, and present large datasets accurately. Foundational knowledge of statistics, including concepts like distributions, variance, and correlation. Skilled in documenting processes and presenting findings to both technical and non-technical audiences. Hands-on experience with Power BI for designing, developing, and maintaining analytics solutions. Proficient in both Python and SQL, with strong programming and scripting skills. Skilled in using Pandas, T-SQL, and Power Query M for querying, transforming, and cleaning data. Hands-on experience in data modeling for both transactional (OLTP) and analytical (OLAP) database systems. Strong visualization skills using Power BI and Python libraries such as Matplotlib and Seaborn. Experience with defining and designing KPIs and aligning data insights with business goals. A bachelor’s degree in a STEM field relevant to data analysis, data engineering, or data science is required. 3–6 years of experience in data analysis, data engineering, or a closely related field, ideally within a professional services environment. ### Additional Info The company offers a dynamic work environment and opportunities for growth and development.

The ideal candidate will be responsible for collecting, analyzing, and interpreting data to help drive business decisions. They should have strong analytical skills, proficiency in data visualization tools, and the ability to communicate insights effectively. Collect, clean, and analyze large datasets to identify trends and insights. Develop and maintain dashboards and reports using tools like Power BI, Tableau, or Excel. Work closely with different teams to understand data requirements and provide actionable insights. Perform statistical analysis and predictive modeling to support business strategies. Ensure data accuracy, consistency, and security in compliance with company policies. Present findings and recommendations to stakeholders in a clear and meaningful way. Basic knowledge of Python Strong proficiency in SQL, Excel, and data visualization tools (Power BI/Tableau). Experience with Python or R for data analysis (preferred). Strong analytical and problem-solving skills. Ability to communicate insights effectively to both technical and non-technical stakeholders. Knowledge of data cleaning, transformation, and reporting best practices. Education- Bachelor's degree in Statistics, Mathematics, Computer Science, Business Analytics, or a related field.

Analyzing data trends and building predictive models. We are seeking a highly motivated Junior Data Scientist to join our data team. The ideal candidate will be passionate about working with data, uncovering trends, and building predictive models to solve real-world business problems. You will work closely with senior data scientists and analysts to turn raw data into actionable insights. Key Responsibilities: Analyze large datasets to identify trends, patterns, and anomalies. Assist in building, testing, and deploying predictive and statistical models. Collaborate with cross-functional teams to define data requirements and business goals. Perform data cleaning, transformation, and feature engineering tasks. Use data visualization tools to communicate findings effectively. Support ongoing data science projects and contribute to model improvements. Education - B.Tech CS, Data Science

Analyzing data trends and building predictive models. We are seeking a highly motivated Junior Data Scientist to join our data team. The ideal candidate will be passionate about working with data, uncovering trends, and building predictive models to solve real-world business problems. You will work closely with senior data scientists and analysts to turn raw data into actionable insights. Key Responsibilities: Analyze large datasets to identify trends, patterns, and anomalies. Assist in building, testing, and deploying predictive and statistical models. Collaborate with cross-functional teams to define data requirements and business goals. Perform data cleaning, transformation, and feature engineering tasks. Use data visualization tools to communicate findings effectively. Support ongoing data science projects and contribute to model improvements. Education - B.Tech CS, Data Science

Analyzing data trends and building predictive models. We are seeking a highly motivated Junior Data Scientist to join our data team. The ideal candidate will be passionate about working with data, uncovering trends, and building predictive models to solve real-world business problems. You will work closely with senior data scientists and analysts to turn raw data into actionable insights. Key Responsibilities: Analyze large datasets to identify trends, patterns, and anomalies. Assist in building, testing, and deploying predictive and statistical models. Collaborate with cross-functional teams to define data requirements and business goals. Perform data cleaning, transformation, and feature engineering tasks. Use data visualization tools to communicate findings effectively. Support ongoing data science projects and contribute to model improvements. Education - B.Tech CS, Data Science

Analyzing data trends and building predictive models. We are seeking a highly motivated Junior Data Scientist to join our data team. The ideal candidate will be passionate about working with data, uncovering trends, and building predictive models to solve real-world business problems. You will work closely with senior data scientists and analysts to turn raw data into actionable insights. Key Responsibilities: Analyze large datasets to identify trends, patterns, and anomalies. Assist in building, testing, and deploying predictive and statistical models. Collaborate with cross-functional teams to define data requirements and business goals. Perform data cleaning, transformation, and feature engineering tasks. Use data visualization tools to communicate findings effectively. Support ongoing data science projects and contribute to model improvements. Education - B.Tech CS, Data Science

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.