Marketing Operations Analyst; LATAM

About Valorx

Valorx is redefining how businesses interact with their Salesforce data, delivering enterprise-grade, Excel-like spreadsheet experiences that enable users to drive outcomes from Salesforce not previously possible. Our solutions eliminate friction, streamline data management, and enhance productivity — empowering teams to get more done in less time, without data ever leaving the CRM.

We don’t need someone who knows where the buttons are in Marketo. We need someone who has already solved the hard problems — deduplication nightmares, broken Salesforce syncs, attribution models that actually tell you what’s working, and nurture programs that respond to real buying signals instead of blasting everyone on a timer.

Our stack includes Marketo, Salesforce, Zapier, and a growing set of tools. The person in this role architects how data flows between them, catches problems before they become fires, and uses automation and AI to do what used to take a team of three.

You think in data flows, not just campaign sends. You know the difference between “working in Marketo” and “running Marketo like infrastructure.”

This isn’t a generic responsibilities list. These are the actual challenges you’ll own from day one.

The CEO asks: “Which channels are driving pipeline?” You don’t just pull a last‑touch report and call it a day.

• Design and implement a multi‑touch attribution model (W‑shaped, linear, or custom) across Marketo and Salesforce
• Map every touchpoint — first touch, lead creation, opportunity creation, closed‑won — to the correct Salesforce campaign and Marketo program
• Build reporting that shows marketing’s true pipeline contribution, not just MQL counts
• Handle the messy reality: a lead who attended a webinar, clicked three emails, visited the pricing page, and then their boss (a different contact) signed the deal — who gets credit?

Your database has 200K records. 15% are duplicates. Some are junk. Some have three versions of the same person across lead and contact objects.

• Build automated deduplication workflows — identify duplicates by email domain, company name normalization, and fuzzy matching
• Create merge rules that preserve the most complete record (latest activity, most fields populated, correct lifecycle stage)
• Set up ongoing data hygiene campaigns: standardize job titles, normalize country/state fields, flag incomplete records, purge unmarketable leads on a schedule
• Implement validation rules at the point of entry (forms, API imports, list uploads) so garbage doesn’t get in to begin with

A lead exists in Marketo, syncs to Salesforce as a Lead, gets converted to a Contact, and somehow there’s now a duplicate Lead and a Contact for the same person. Or worse — the same email exists as a Lead under one account and a Contact under another.

• Diagnose and fix Marketo‑to‑Salesforce sync issues: duplicate SFDC records, orphaned leads, contacts stuck in the wrong account
• Build preventive sync logic — custom fields, sync filters, and flow steps that check “does this person already exist in SFDC as a Contact?” before creating a new Lead
• Work with Sales Ops to establish lead‑to‑contact conversion rules that don’t break the Marketo sync
• Monitor the Marketo sync error log daily and resolve field‑level security issues, validation rule conflicts, and sync queue backlogs

A user signs up with a  email. Another signs up with  Another with  All three are Walmart subsidiaries — but your system treats them as three separate companies.

• Build and maintain a domain‑to‑parent‑account mapping system so subsidiary and acquired‑company leads roll up to the correct parent account
• Implement automated workflows that detect known subsidiary domains at the point of lead creation and associate them with the parent account in Salesforce
• Handle edge cases: personal email domains (gmail, yahoo), recently acquired companies whose domains haven’t been mapped yet, joint ventures
• Use enrichment tools (Zoom Info,…