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Practifi is seeking a Data QA Analyst to own data migration quality across client onboarding engagements. You will establish a standard checklist, document issues, and ensure data accuracy from migration through go-live.
You’ll work with Consultants, Business and Data Analysts, Data Engineers, and Project Managers in a fully remote US setting, with Salesforce and CRM data expertise at the center of delivery.
Practifi is the only intelligent CRM company that meets wealth management firms wherever they are in their AI adoption journey. Our enterprise-grade, compliance-first foundation brings client data, workflows, and relationship intelligence together in one system, so firms can understand what matters, take the right action, and scale without ever needing a new CRM.
That same directness runs through how we work. We're a team of fewer than 100 people, remote-first across the US and Australia, and we'd rather tell you how this job actually works than polish it for the pitch. We don't sell a version of the role that doesn't exist.
When a wealth management firm moves onto Practifi, the first thing they judge us on is their data. If a household is missing a member, if a client shows up twice, or if a servicing team points to the wrong advisor, they notice on day one. So do their clients.
Right now, quality assurance on those data migrations is handled by whoever is delivering the engagement, on top of everything else on their plate. It works, but it means every client gets a slightly different process and nobody has a clear view of the issues that keep coming back.
We're creating this role to change that. As our Data QA Analyst, you'll be the dedicated owner of data migration quality across every client onboarding engagement. You'll work the checklist object by object, build one standard the whole team uses, and spot the patterns a single-project view misses. You'll be a big part of why a client's first login feels like their business, not a spreadsheet import.
The Core Work
The Reality Check
The Practifi data model has its own vocabulary, and it takes time to learn how it all fits together. You won't figure it out alone. You'll complete the same onboarding and training curriculum as every individual contributor here, including our PractifiU learning platform, and you'll have a Practibuddy mentor from day one.
You’ll also be working alongside Consultants, Business and Data Analysts, Data Engineers, and Project Managers. Part of the job is raising problems in a way that keeps projects moving. And when QA volume is lighter, you'll flex into delivery support, so you'll see the whole implementation, not just your portion of it.
The Growth
This is a new role, which means you'll shape it. The checklist, the reporting format, and the process improvements you contribute each quarter become part of how Data Services operates.
You’ll earn a Salesforce certification once you're here, with time and support built in, and an annual Learnbucks stipend for the courses and certifications you choose after that. We promote from within. A role that sees every engagement is a strong foundation for a path into consulting, data engineering, or delivery leadership.
The Must-Haves
The Nice-to-Haves
Salesforce certification isn't required to apply. You'll earn one with us.
The More Important Stuff
The Practical Stuff
The Cultural Stuff
This role sits in our Data Services team within the Enablement organization and reports to our Project Management Office (PMO) Team Lead. You'll work closely with Consultants, Business and Data Analysts, Data Engineers, and Project Managers across every engagement. The role is fully remote within the US and does not provide Visa sponsorship (must be legally authorized to work in the US for any employer without sponsorship).
We're not just hiring a Data QA Analyst. We're adding someone to our community who'll make sure every client's first impression of Practifi is one we're proud of. If that sounds like you, we'd love to hear from you.
Practifi is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
We value transparency in our hiring process. Please note that portions of our recruitment process may involve the use of AI-assisted tools to help review applications and match candidates to job requirements. All final hiring decisions are made by our human recruitment team, ensuring fair and thoughtful consideration for every applicant.