Data Quality & Identity Analyst

Melissa; Rancho Santa Margarita (CA); In loco; USD 60.000 - 100.000; Tempo pieno

Vantaggi offerti da questo lavoro

401(k) with company match.

Medical, dental, and vision insurance.

Life insurance, including company-proc

Paid Holidays and personal time off.

Tuition and loan assistance after one

Office lunch on select weekdays.

Haircuts and manicures.

Workout and yoga classes.Onsite EV

Descrizione del lavoro

Melissa is seeking a curious and detail-oriented data professional to maintain and improve our proprietary identifiers. You will work with large datasets, validate data quality, and implement automated validation processes to keep identifiers accurate and reliable.

You will collaborate with cross-functional teams to test improvements, monitor trends, and document validation procedures, ensuring data integrity across Melissa’s data assets.

Competenze

• Strong analytical thinking and problem-solving skills.
• Working knowledge of SQL and relational databases.
• Ability to investigate complex data issues, identify patterns, and draw meaningful conclusions.
• Strong attention to detail and a commitment to data accuracy.
• Good written and verbal communication skills.
• Ability to work independently, take initiative, and follow problems through to resolution.
• Experience working with data in an analytical, operational, or technical capacity.

Mansioni

• Analyze and validate data for accuracy, consistency, uniqueness, and reliability.
• Investigate data anomalies, duplicate identifiers, unexpected key changes, incorrect matches, and other data-quality issues.
• Write SQL queries to compare datasets, identify patterns, investigate problems, and validate results.
• Develop repeatable data-quality checks, reports, and automated validation processes.
• Evaluate changes in data sources, matching rules, and data-processing procedures to identify potential impacts on identifier quality.
• Collaborate with Data Production, Programming, and Quality Assurance teams to investigate and resolve issues.
• Test and validate improvements, corrections, and new capabilities involving Melissa's identifiers.
• Monitor quality trends and recommend opportunities for improvement.
• Maintain documentation of findings, quality standards, known issues, and validation procedures.
• Help establish and maintain data-integrity metrics and reporting.

Conoscenze

SQL

Data analysis

Problem solving

Attention to detail

Independent work

Communication skills

Strumenti

Python

ETL

APIs

SQL Databases

Descrizione del lavoro

Melissa is seeking a curious and detail-oriented data professional to maintain and improve our proprietary identifiers. You will work with large datasets, validate data quality, and implement automated validation processes to keep identifiers accurate and reliable.

You will collaborate with cross-functional teams to test improvements, monitor trends, and document validation procedures, ensuring data integrity across Melissa’s data assets.