609 Data Models jobs in the United States

Country: Spain

The employee will work with systems and processes related with E2E deals life cycle, from their negotiation and recording in the front office platforms to the VAR, P&L, along with other risk metrics calculation. Technical/Functional profile. Static data and a huge amount of data will be managed, reporting generation, controls execution, incidences follow up and analysis, IT teams coordination and Segregation of duties management in the systems.

Need Banking domain experience. Good data analysis and SQL skills and very good with large data crunching. Minimum 5 years of hands-on analytical experience in working as a Data and Business Analyst. Experience leading projects end to end including international stakeholders. Conduct end-to-end evaluations of existing processes to design and implement process enhancements.

Need Banking domain exp is must.

Need good Data analysis and sql skills and very good with large data crunching
• Minimum 5 years of hands-on analytical experience in working as a Data and Business Analyst
• Experience leading projects end to end including international stakeholders
• Conduct end-to-end evaluations of existing processes to design and implement process enhancements and role redesigns to streamline operations and improve efficiency
• Financial markets domain - require to have basic knowledge and understanding of Capital Market Products - EQ, Rates - Bonds & IRS, Credit - CDS and Bonds, Commodities etc. along with understanding of basic trade life cycle (from dealer broker perspective)
• Experience working with relational / non-relational databases to turn into insights
• Experience with tools like SQL, Excel & Advanced Excel, Project Management tools like Jira, Confluence, SharePoint
• Hands-on experience in Scripting Languages (Python)
• Experience in troubleshooting code and logs
• Excellent interpersonal and communication skills in English

Manager- Data Analysis

At Capital One, data is at the center of everything we do. We revolutionized the credit card industry in 1988 by personalizing offers through statistical modeling and relational databases. Our passion for data has propelled us to become a Fortune 200 company and a leader in data-driven decision-making.

• Drive strategy using your analytical skills
• Build and validate data models
• Work with large, evolving datasets
• Expand our brand in new markets
• Create exceptional customer experiences through analytics
• Lead and mentor junior analysts
• Manage the full project lifecycle
• Collaborate across business units
• Work in a fast-paced, entrepreneurial environment with top talent
• Maintain work-life balance with minimal travel

• Mine data for organizational insights
• Improve processes, data, and reports
• Handle large databases with billions of records
• Enhance operational efficiency
• Evaluate processes and tests
• Analyze data to assess products
• Design and implement new systems
• Develop strategic product and marketing tests

The ideal candidate will be at the forefront of analytics technology, with strong problem-solving, communication, interpersonal, and leadership skills. This role requires managing multiple projects independently and collaboratively, with a strong Business Intelligence component. BI experience is highly encouraged.

• Currently pursuing or have completed a Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science) with at least 6 years of data analytics experience, or a Master's Degree with at least 4 years of experience, expected to be obtained by start date.
• Minimum 4 years of professional data analysis experience
• Minimum 4 years of programming experience

• Master's in STEM disciplines
• 7+ years of professional data analysis experience
• Experience with Python, R, Spark, or SQL
• 1+ year in people management
• 1+ year project management experience
• Experience with Tableau
• Proficiency with AWS services

Capital One considers sponsoring qualified applicants for employment authorization.

RPStaffing is conducting an immediate search for the Data Analysis Associate with a major healthcare nonprofit in Washington DC. Apply today for immediate consideration!

Job Title : Data Analysis Associate

Status : Temporary Contract

Assignment Length : 1-2 months

Office Status : Remote

Compensation : $20.00 per hour

Location : Washington, DC

Healthcare Benefits: none

***Candidates must currently be living in the Washington, DC area***

Work with a major national healthcare nonprofit in the Quality, Research, & Measurement Department. Tasks include verifying submitted data, preparing data for aggregation, and finalizing reports on the aggregated data.

Responsibilities:

• Compare data on Excel file to data submitted on a PDF and note any differences in the Excel file (Oct)
• Use a VLOOKUP in Excel to compare list of ~700 respondents required to report data to the list of respondents received and note variances (Sept/Oct)
• Send Login/Passwords to accredited organizations who need to submit data, as needed via email (Sept/Oct)
• Aggregate Reports (Nov/Dec)
• Map data file to be able to complete a mail merge in MS Word and then convert to PDF
• Ensure formatting is correct and make any edits in PDF
• Split PDF into 700+ individual reports
• Rename 700+ files according to provided syntax

Skills:

• Excel (VLOOKUP, Sorting, Check for Duplicate, able to navigate Pivot Table)
• PDF/ MS Word (mail merge from a data file, combining documents, editing and formatting, and splitting large documents into smaller client specific documents
• Detail Oriented to ensure confidentiality of client data is not sent to other organizations
• Communication (frequent updates on progress)
• Strong organizational and time management skills with demonstrated flexibility and the ability to manage multiple tasks and issues of varying complexity, while managing priorities and meeting deadlines.
• Strong written and verbal communication skills with the ability to generate original correspondence and reports and convey ideas clearly and effectively.

Equal Opportunity Employer. This description was prepared by RPStaffing and is subject to change. This has been designed to indicate the general nature and level of work performed by employees within this job classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. This job may be modified at any time by adding or removing duties. The above job description is not intended to be an all-inclusive list of duties and standards of the position. Benefits, hours, duties, and locations are subject to change. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor.

Overview

RPStaffing is conducting an immediate search for the Data Analysis Associate with a major healthcare nonprofit in Washington DC. Apply today for immediate consideration!

Job Title : Data Analysis Associate

Status : Temporary Contract

Office Status : Remote

Compensation : $20.00 per hour

Location : Washington, DC

Healthcare Benefits: none

Candidates must currently be living in the Washington, DC area

Work with a major national healthcare nonprofit in the Quality, Research, & Measurement Department. Tasks include verifying submitted data, preparing data for aggregation, and finalizing reports on the aggregated data.

• Compare data on Excel file to data submitted on a PDF and note any differences in the Excel file (Oct).
• Use a VLOOKUP in Excel to compare list of ~700 respondents required to report data to the list of respondents received and note variances (Sept/Oct).
• Send Login/Passwords to accredited organizations who need to submit data, as needed via email (Sept/Oct).
• Aggregate Reports (Nov/Dec).
• Map data file to be able to complete a mail merge in MS Word and then convert to PDF.
• Ensure formatting is correct and make any edits in PDF.
• Rename 700+ files according to provided syntax.

• Excel (VLOOKUP, Sorting, Check for Duplicate, able to navigate Pivot Table)
• PDF / MS Word (mail merge from a data file, combining documents, editing and formatting, and splitting large documents into smaller client specific documents)
• Detail oriented with confidentiality of client data
• Communication (frequent updates on progress)
• Strong organizational and time management skills with flexibility to manage multiple tasks and meet deadlines
• Strong written and verbal communication skills with the ability to generate original correspondence and reports

Equal Opportunity Employer. This description was prepared by RPStaffing and is subject to change. This has been designed to indicate the general nature and level of work performed by employees within this job classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. This job may be modified at any time by adding or removing duties. The above job description is not intended to be an all-inclusive list of duties and standards of the position. Benefits, hours, duties, and locations are subject to change. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor.

• Associate

• Temporary

• Administrative and Analyst

• Non-profit Organizations

Manager- Data Analysis

At Capital One, data is at the center of everything we do. We revolutionized the credit card industry in 1988 by personalizing offers through statistical modeling and relational databases. Our passion for data has propelled us to become a Fortune 200 company and a leader in data-driven decision-making.

• Drive strategy using your analytical skills
• Build and validate data models
• Work with large, evolving datasets
• Expand our brand in new markets
• Create exceptional customer experiences through analytics
• Lead and mentor junior analysts
• Manage the full project lifecycle
• Collaborate across business units
• Work in a fast-paced, entrepreneurial environment with top talent
• Maintain work-life balance with minimal travel

• Mine data for organizational insights
• Improve processes, data, and reports
• Handle large databases with billions of records
• Enhance operational efficiency
• Evaluate processes and tests
• Analyze data to assess products
• Design and implement new systems
• Develop strategic product and marketing tests

The ideal candidate will be at the forefront of analytics technology, with strong problem-solving, communication, interpersonal, and leadership skills. This role requires managing multiple projects independently and collaboratively, with a strong Business Intelligence component. BI experience is highly encouraged.

• Currently pursuing or have completed a Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science) with at least 6 years of data analytics experience, or a Master's Degree with at least 4 years of experience, expected to be obtained by start date.
• Minimum 4 years of professional data analysis experience
• Minimum 4 years of programming experience

• Master's in STEM disciplines
• 7+ years of professional data analysis experience
• Experience with Python, R, Spark, or SQL
• 1+ year in people management
• 1+ year project management experience
• Experience with Tableau
• Proficiency with AWS services

Capital One considers sponsoring qualified applicants for employment authorization.

At DuPont, our purpose is to empower the world with essential innovations to thrive. We work on things that matter. Whether it’s providing clean water to more than a billion people on the planet, producing materials that are essential in everyday technology devices from smartphones to electric vehicles, or protecting workers around the world. Discover the many reasons the world’s most talented people are choosing to work at DuPont. Why Join Us | DuPont Careers (

Reporting to the Data Operations Lead in the DuPont Water Solutions business, the Data Analysis Intern will be responsible for evaluating data integrity to support the business functions. DWS has multiple sources for its databases and conflicts must be researched and resolved. The intern will work in Microsoft Excel identifying errors or missing data, leverage AI and other sources of information to resolve the errors and propose solutions. The intern will be able to meet with members of our DWS cross functional teams and learn how we use our data in day-to-day and long-term decision making (supply chain, product management, marketing, strategy, finance).

Some possible work assignments might be:

• Using AI and web searches to identify “Customer Groups” within our global customer list (i.e. companies with the same parent corporation)

• Comparing related datasets from different systems to find and fix discrepancies

• Automating data cleaning and data manipulation tasks using Power Query (functionality within Excel)

Role Requirements

• High school senior

• Interest in learning Microsoft Excel and working with AI platforms.

• Interest in data analysis and best practices for data management

• Highly motivated and results-driven student willing to learn

• Strong organizational and time management skills

• Ability to work in the office as needed

Join our Talent Community ( to stay connected with us!

DuPont is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit our Accessibility Page for Contact Information ( .

DuPont offers a comprehensive pay and benefits package. To learn more visit the Compensation and Benefits page ( .

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Job Responsibilities:

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our machine learning models and ensuring their efficacy.
MAIN TASKS & RESPONSIBILITIES

Machine Learning Model Updates:

• Update training and test model databases with new or amended synthetic textual and image data.
• Modify and refine machine learning data creation, annotation, and rating guidelines.

• Initiate model training processes using internal tools and command-line interfaces.
• Evaluate the performance of trained models to gauge their efficacy and readiness for deployment.

• Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees.
• Handle data efficiently, ensuring its integrity throughout the workflow.
• Engage in data relevance tasks, ensuring data sets are aligned with project goals.
• Annotate data accurately, ensuring it adheres to set guidelines.

• Conduct manual quality analysis of model results.
• Recognize error patterns and report anomalies for further investigation.
• Deliver detailed reports on findings, including aspects such as utterance quality, LLM evaluation, ASR bug tracking, and customer pain points to be reviewed by the User Experience Research team.
• Implement basic quality control measures and ensure the reliability of processed data.
• Utilize intermediate data analysis techniques to extract insights and inform decision-making.
• Arbitrate discrepancies effectively, ensuring consistent data quality.

• Apply basic knowledge of natural language processing and linguistics to data processing tasks.
• Ensure linguistic accuracy in all processed and annotated data.

• Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.

• Ability to work in a fast-paced, collaborative environment.
• Excellent communication skills

• Familiarity with command-line tools and interfaces.
• Strong analytical skills with the ability to identify patterns and anomalies.