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Data Quality Analyst - Ataccama

77% Flex
Full Remote
Fixed-term contract
Senior (5-10 years)

  • Remote from:United States

Data Quality Analyst - Ataccama

77% Flex
Remote:Full Remote
Contract:Fixed term
Experience:Senior (5-10 years)
Work from:United States

Offer summary

Qualifications: Minimum 5 years of data quality analysis experience, 2+ years using Ataccama ONE for development/operations.

Key responsabilities:

  • Analyze datasets to identify and resolve data quality issues
  • Document complex data quality problems for stakeholder review
  • Interact with various stakeholders to report findings and suggest improvements
  • Measure data quality and report progress to management
Yoh, A Day & Zimmermann Company logo
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Yoh, A Day & Zimmermann Company
Human Resources, Staffing & RecruitingLarge

1001 - 5000 Employees

Job description

Logo Jobgether

Your missions

Remote with option to go to NYC office.
18 - 24 month + Project.
W2 or Corp, no 3rd parties

Job Summary:
We are seeking a highly capable data quality analyst to

  • enhance the accuracy and integrity of our organization's data.
  • develop data quality rules and monitoring projects using Ataccama ONE.
  • develop good relationships with users across the organization and interact with them to resolve any data quality issues.
  • exhibit extensive knowledge of data analysis techniques and experience in a similar role.
  • determine the root cause of data quality issues and drive their resolution.
  • Perform analysis on large datasets to determine data quality and integrity.
  • Identify and describe the complex data quality issues and document for review with stakeholders.
  • Interact with data users, managers, and other stakeholder to report the data analysis findings and suggest improvements.
  • Query source data to pinpoint sources of data quality issues.
  • Resolve data quality problems. Activities include Identify, assess, fix, document, and communicate quality issues in the way data is collected, stored, processed, or used. This may involve interacting with business users to resolve data quality problems using techniques such as root cause analysis as well as collecting user requirements.
  • Measure data quality using Ataccama ONE. Activities include Design, collect, analyze, and report on data quality assurance / production performance metrics.
  • Report to management on the progress of data quality improvement.
Skill Requirements:
  • 5+ years data quality analysis experience
  • 2+ years development/operating expierince with Ataccama ONE web and desktop
  • Knowledge of P&C Insurance will be an advantage
  • Exceptional analytical skills
  • Advanced problem-solving skills
  • Knowledge of best practices in data analysis
  • Ability to review, analyze and manage large volumes of data
  • Outstanding attention to detail and a meticulous approach to work
  • Experience in root cause analysis and implementation of quality management principles
  • Experience in DQ Measurements, Data Entry Improvement, User Requirements
  • Good problem solving (error detection, root cause analysis, error correction)
  • Experience in Change Process, DQ Implications, DQ Cost/Benefit Analysis.
  • Strong verbal and written communication skills to interact with business and technical teams.
Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.

Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Visit [1]to contact us if you are an individual with a disability and require accommodation in the application process.


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Level of experience :
Senior (5-10 years)

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Hard Skills
Soft Skills
  • Exceptional analytical, problem-solving, and communication skills
  • Attention to detail, ability to manage large volumes of data, and meticulous work approach

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