Data Quality Associate
6 months ago
**JOB DESCRIPTION**
As a Data Quality (DQ) Associate, your primary responsibility is to ensure the accuracy, completeness, consistency, and reliability of data within an organization.
**Responsibilities**:
- Data Profiling and Assessment: Analyze and profile data to understand its structure, content, and quality. Identify anomalies, errors, and inconsistencies in data sets and databases. Perform data assessments to determine the overall data quality and highlight areas for improvement.
- Data Cleansing and Standardization: Develop and implement data cleansing procedures to correct errors, remove duplicates, and reconcile discrepancies in data. Standardize data formats, units of measurement, and naming conventions to ensure consistency and uniformity across systems.
- Data Validation and Verification: Design and execute data validation processes to verify the accuracy and integrity of data. Perform data quality checks, validate data against predefined business rules or data models, and reconcile data with external sources or reference data.
- Root Cause Analysis: Investigate data quality issues and identify the root causes behind data inaccuracies or inconsistencies. Collaborate with relevant stakeholders, such as data owners, data stewards, and IT teams, to understand underlying issues and implement corrective actions.
- Data Quality Metrics and Reporting: Define and track data quality metrics and key performance indicators (KPIs) to measure the effectiveness of data quality initiatives. Prepare regular reports and dashboards to communicate data quality issues, trends, and improvements to management and stakeholders.
- Data Governance and Policies: Contribute to the development and implementation of data governance frameworks, policies, and standards. Ensure adherence to data governance principles, including data classification, access controls, and data lifecycle management.
- Process Improvement: Identify opportunities to enhance data quality processes and workflows. Collaborate with cross-functional teams, such as data owners, data stewards, and IT teams, to streamline data collection, transformation, and integration processes. Propose and implement process improvements to prevent data quality issues.
- Data Quality Training and Awareness: Conduct training sessions and workshops to educate stakeholders on data quality best practices, data governance principles, and the importance of data quality. Promote awareness and understanding of data quality requirements throughout the organization.
- Data Quality Tools and Technologies: Utilize data quality tools and technologies to automate data profiling, cleansing, and validation processes. Stay updated on industry trends and advancements in data quality tools to recommend and implement appropriate solutions.
10. Compliance and Regulatory Requirements: Ensure data quality practices align with regulatory requirements and industry standards. Stay informed about data privacy regulations, data protection laws, and other relevant compliance frameworks to ensure data quality activities meet legal and regulatory obligations..
**Required Qualifications, Skills and Responsibilities**:
- 6 years of industry experience in Data related project
- Strong understanding of Data lifecycle and Data Quality dimensions, with a track record of having built DQ KPI dashboards using Excel, Qlik or Tableau.
- Demonstrated experience of aggregating data from different sources (using tools such as Microsoft SSIS, Alteryx, Talend), identifying and resolving DQ issues.
- Hands-on experience in a DQ product such as IDQ (Informatica Data Quality), SAP Info Steward or an equivalent tool
**ABOUT US**
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental health or physical disability needs.
**ABOUT THE TEAM**
Commercial Banking is focused on helping our clients succeed and making a positive difference in
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