Data Analyst

Melissa•Rancho Santa Margarita, CA

10d

About The Position

Melissa is seeking a curious, detail-oriented, and technically capable data professional to maintain and improve the quality of proprietary data assets. The role involves hands-on analysis, investigation, validation, and continuous improvement of identifiers used by Melissa's customers. The analyst will work with large datasets, investigate anomalies, develop quality checks, evaluate changes, and collaborate with technical teams to help ensure identifiers remain accurate, consistent, and reliable. The position offers the opportunity to develop expertise in data quality, identity resolution, and large-scale data management while taking ownership of supported data assets. The successful candidate enjoys investigating data problems, understanding root causes, and preventing issues from recurring. They should be comfortable working independently, asking thoughtful questions, and collaborating with technical teams. Experienced software development is not required; the role values analytical aptitude, a technical foundation, and willingness to learn. The posted pay range is $60,000–$100,000 per year, or $28.85–$48.07 per hour, depending on experience.

Requirements

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 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.

Nice To Haves

Two or more years of relevant experience in data analysis, data quality, data operations, or a related field.
Experience working with large datasets.
Familiarity with AI, Python, or other scripting tools for data analysis and automation.
Understanding of data matching, deduplication, entity resolution, or master data management.
Experience with data profiling, data validation, or quality monitoring.
Familiarity with ETL processes, APIs, or data-processing pipelines.
Experience investigating production data issues and evaluating changes between data releases.

Responsibilities

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 for 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.