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Part Time Data Quality Analyst Jobs in New York (NOW HIRING)

LEO&Co

Part Time Data Analyst (Remote)

New York, NY · Remote

In this role, the Data Analyst (Remote) will be responsible for ensuring the business makes better decisions through collection and usage of data. Responsibilities: The Data Analyst (Remote) will:

Housing Works

Part-Time Data Entry Specialist

Brooklyn, NY · On-site

$18 - $19/hr

... Quality Improvement (CQI) projects. Responsibilities: * Collect service encounters and data from ... Analyze and aggregate data regularly in preparation for program reporting. * Generate weekly and ...

Total Performance Consulting

Data Engineer

New York, NY · Remote

$125K - $150K/yr

Comfortable modeling data across relational and document-based systems, analyzing schemas, and resolving data quality issues. * Experience with the Azure data stack preferred, including Azure Data ...

netx

Data Analyst

New York, NY

Data Analyst - part time Netx is a great place to work - we think you're going to love it here. We ... Clients hire us because we get them quality customers through the internet and we do it efficiently.

Weekday AI

Data Engineer - Finance

New York, NY · On-site

$60 - $85/hr

Own end-to-end data quality by identifying, investigating, and resolving pipeline issues ... Strong analytical and problem-solving abilities with attention to data accuracy. * Experience ...

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Part Time Data Quality Analyst information

What does a part time data quality analyst do?

A Part Time Data Quality Analyst is responsible for reviewing, validating, and ensuring the accuracy and integrity of data within an organization. They typically perform tasks such as identifying data inconsistencies, running quality checks, and collaborating with other team members to resolve data-related issues. Working part-time, they may focus on specific projects or ongoing quality assurance activities, helping organizations maintain reliable and high-quality data for decision-making and reporting. Their work supports data-driven business processes and helps prevent costly errors.

What are the key skills and qualifications needed to thrive as a part time data quality analyst, and why are they important?

To thrive as a Part Time Data Quality Analyst, you need strong analytical skills, attention to detail, and a background in statistics or data management, often supported by a bachelor’s degree or relevant experience. Familiarity with data analysis tools like SQL, Excel, and data visualization software, as well as knowledge of data quality frameworks, is typically required. Excellent problem-solving abilities, communication skills, and time management distinguish top performers in this role. These competencies are crucial for ensuring accurate, reliable data that supports informed business decisions and operational efficiency.

What are some common challenges faced by part time data quality analysts, and how can they be managed?

Part-time data quality analysts often face challenges such as limited time for deep data investigation and the need to coordinate with full-time team members who may be working different schedules. To manage these challenges, it's important to maintain clear communication with colleagues, use effective documentation practices, and prioritize tasks that have the greatest impact on data integrity. Leveraging collaborative tools and regularly attending team meetings can also help ensure alignment and smooth workflow within the team.

What is the difference between Part Time Data Quality Analyst vs Part Time Data Analyst?

AspectPart Time Data Quality AnalystPart Time Data Analyst
Primary FocusEnsuring data accuracy, integrity, and quality standardsAnalyzing data sets to identify trends, insights, and support decision-making
Required SkillsData validation, quality control, attention to detailData analysis, reporting, visualization skills
CertificationsData quality certifications or related training often preferredStatistical or data analysis certifications beneficial
Work EnvironmentMostly in data management teams, quality assurance departmentsAcross various departments, including business intelligence and analytics

While both roles involve working with data, the Part Time Data Quality Analyst primarily focuses on maintaining data accuracy and integrity, whereas the Part Time Data Analyst emphasizes interpreting data to generate insights. Understanding these differences helps in choosing the right role based on your skills and career goals.

What are the most commonly searched types of Data Quality Analyst jobs in New York?

The most popular types of Data Quality Analyst jobs in New York are:

What cities in New York are hiring for Part Time Data Quality Analyst jobs?

Cities in New York with the most Part Time Data Quality Analyst job openings:

Part Time Data Quality Analyst jobs near you

Part Time Data Analyst (Remote)

LEO&Co

New York, NY • Remote

Part-time

Re-posted 22 days ago

Job description

A real estate services firm in New York City has a great Remote opportunity awaiting a new Data Analyst. In this role, the Data Analyst (Remote) will be responsible for ensuring the business makes better decisions through collection and usage of data.

Responsibilities:

The Data Analyst (Remote) will:

  • Perform ad-hoc, strategic analysis of structured and unstructured data across multiple data sources, reflecting global real estate markets and the operations of real estate assets
  • Develop data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate insights and addresses reporting needs
  • Define data requirements and gathers and validates information, using judgment and statistical tests
  • Identify and troubleshoot data integration and integrity issues in cooperation with the appropriate business units
  • Design work flows and procedures
  • Identify opportunities to maximize data usage, applying modeling and optimization methods to develop new strategies and improve business performance
  • Develop ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools
  • Perform other duties, as needed

Qualifications:

  • 5+ years of experience in Quantitative Analysis, Data Modeling, Reporting, Relational Database tools, Data Warehousing, Database Architecture, and SQL, SAS, and/or SPSS
  • 3+ years of Technical experience in Software Development, Machine Learning or Statistical Analysis, Data Engineering and Data Visualization related work
  • Associate's and/or Bachelor's Degree
  • Well versed in knowledge of creating algorithms, identifying patterns and insights from structured and unstructured data sets utilizing graphs, trees and/or other data representation techniques
  • Knowledge of Financial terms and principles
  • Solid analytical and problem solving skills
  • Great interpersonal skills
  • Excellent communication skills (written and verbal)
  • Strong attention to detail
  • Highly organized

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