Senior Data Quality Analyst

1 Month ago • 8-10 Years

Job Summary

Job Description

The Senior Data Quality Analyst will be responsible for ensuring the accuracy and reliability of data pipelines, audience segmentation, and reporting. This includes managing QA processes across various platforms, building automated tests, and working closely with different teams to resolve issues. The analyst will also be the final checkpoint for data accuracy, mentor junior team members, and promote best practices. Strong communication and collaboration are crucial for this role, along with the ability to work in an agile, sprint-based environment. They must take ownership of quality checks across the data lifecycle—from ingestion to delivery—and work closely with engineers, analysts, and stakeholders to drive high standards and solve issues quickly.

Must have:

8-10 years of experience in data QA or analytics.
Excellent written and verbal communication skills.
Strong sense of ownership and team mentorship experience.
Skilled in Python and SQL.
Hands-on experience with Databricks, SQL Server, Looker.

Good to have:

Familiar with ad tech, campaign measurement, audience targeting.
Comfortable working in agile environments and across time zones.
Bachelor’s or Master’s degree in a related field.
Familiarity with CI/CD workflows and tools like Jira, Git, Jenkins.

15 skills required

15 skills required for this role

Add these skills to join the top 1% applicants for this job

quality-control

sql

looker

agile-development

jenkins

jira

ci-cd

github

spark

python

git

data-science

qlikview

business-intelligence

mysql

Job Details

Description

Position at Everyday Health - Professional

The Opportunity

We’re looking for a Senior Data Quality Analyst to join our fast-paced Data & Analytics team. This team supports internal operations and client-facing work by ensuring the accuracy and reliability of data pipelines, audience segmentation, and reporting. You'll take ownership of quality checks across the data lifecycle—from ingestion to delivery—and work closely with engineers, analysts, and stakeholders to drive high standards and solve issues quickly. Strong communication and collaboration are key to this role.

Key Responsibilities

Own and manage QA processes for data pipelines, campaign outputs, and reporting across Databricks, SQL Server, Looker, and QuickPivot
Build automated tests to catch data issues early and ensure clean, reliable data throughout workflows
Test all changes and new development before they go live
Work closely with engineering, business intelligence, data science and operations teams to identify and resolve issues quickly
Maintain clear documentation of QA processes and testing standards
Investigate data quality problems and recommend solutions that prevent them from recurring
Be the final checkpoint for data accuracy before delivery to internal teams or clients
Mentor junior team members and promote QA best practices
Collaborate with global teammates in agile, sprint-based cycles—managing priorities, raising blockers, and delivering quality work on time
Bonus if the candidate brings a strong understanding of clean coding principles and can actively contribute to enforcing code quality and development standards. Familiarity with CI/CD workflows and tools such as Jira, Git, and Jenkins is highly desirable, particularly in the context of automated testing and continuous quality assurance.

Job Qualifications

Experience: 8–10 years in data QA or analytics, with at least 2 years of team leadership or management experience
Communication: Excellent written and verbal communication; able to explain complex data issues clearly to different teams
Leadership: Strong sense of ownership, team mentorship experience, and a proactive approach to solving problems
Technical Skills: Skilled in Python and SQL; experienced with Databricks Data Lake, SQL Server, or MySQL
Tools: Hands-on experience with Databricks, SQL Server, Looker, and QlikView/Qlik Sense
Data Understanding: Familiar with ad tech, campaign measurement, audience targeting, and reporting workflows
Ways of Working: Comfortable working in agile environments and across time zones with global teams
Education: Bachelor’s or Master’s degree in Computer Science, IT, or a related field

About Everyday Health

Everyday Health Group (EHG) is a recognized leader in patient and provider education and services attracting an engaged audience of over 74 million health consumers and over 890,000 U.S. practicing physicians and clinicians. Our mission is to drive better clinical and health outcomes through decision-making informed by highly relevant information, data, and analytics. We empower healthcare providers, consumers and payers with trusted content and services delivered through Everyday Health Group’s world-class brands.

Our Culture and Values

We created our values together to guide our collective purpose and pursuits. We are collaborators and problem solvers. We empower one another to make informed decisions and to be enabled towards action. We embrace success. We recognize that innovation can spark and be born from any of us no matter our individual role or background. We encourage open mindedness and sensitivity to each other and our environment. Our personal and professional passions get ignited, nurtured and supported. We value that doing is greater than talking as the most measurable means of impact. Our collective purpose to deliver enlightened audience experiences with trusted brands is what drives the success of our business and our professional satisfaction.

Life at Everyday Health

At Everyday Health Group, a division of Ziff Davis, we work in a culture of collaboration and welcome those who desire to join our growing global community. We believe in careers versus jobs and people versus employees. We seek enthusiastic individuals with an entrepreneurial spirit looking for an environment that rewards your best work.