Product Operations & Analytics Lead

About Daloopa, Inc.

Daloopa is transforming how investment professionals work. Our mission is to eliminate the slow, error-prone parts of fundamental research—without sacrificing accuracy or auditability.

Founded by a former equity research analyst and top engineers, we built an AI-powered platform that converts complex financial filings, transcripts, and KPIs into clean, hyperlinked, customizable data. This means analysts spend less time on manual tasks and more time generating insights that drive performance.

Today, Daloopa powers the workflows of leading investment teams worldwide—helping them move faster, think deeper, and make every decision with confidence. If you’re passionate about building technology that solves real-world problems and want to make an impact, join us and help redefine the future of investment research.

About the role
Shape the intersection of product, data, and customer experience atDaloopa.In this role,you’llhelp createthe connectivetissue between how customersactually useour products and how our teams buildwhat’snext.You’llturn raw data, signals, and feedback into meaningful insights that drive smarter decisions across the organization.

As the Product Operations & Analytics Lead,you’llown the analytics foundation that powers our product strategy.You’llbuild dashboards, define metrics, synthesize customer behavior, and ensure teams have the clarity they need to move quickly. This role is perfect for someonewho’sboth analytically rigorous and highly pragmatic—someone who empowers teams, not bottlenecks them.

The Essentials

Role:Product Operations & Analytics Lead
Type:Full Time Consultant; Individual Contributor
Location:LATAM (Remote)
Compensation:[Insert compensation details]

Your Impact:

Metrics, Dashboards & Insights

• Build andmaintaindashboards measuring MAU, WAU, DAU, adoption, abandonment, retention, and performance across product lines.
• Partner with Product and Data to ensure analytics are reliable, trusted, and aligned to decision-making needs.
• Deliver recurring insight reports to PMs and leadership that surface trends, risks, and opportunities—not just raw data.
• Own event tracking governance using tools likeMixpanel,Statsig, andMetabase.

Cross-Functional Enablement

• Partner with Product, CS, and Data to translate questions into analytics frameworks.
• Enable PMs and CS teams to self-serve insights by improving dashboard usability, documentation, and shared understanding of metrics.
• Own metric definitions and drive consistency across teams.

Customer Behavior & Feedback Synthesis

• Aggregate and analyze qualitative data from Gong, support tickets, feature requests, Zoom/Fathom transcripts, Slack channels, Salesforce, and more.
• Identifythemes and translate user feedback into actionable product insights.
• Maintain analytics documentation and dashboards.

WhatWe’reLooking For:

Experience

• 5+ years in product operations, product analytics, or related roles.
• Proven experience partnering with Product, Customer Success, and Data/Analytics teams.
• Demonstrated ability to turn ambiguous questions and large data sets into insights that influence product decisions.
• Experience supporting multiple product lines or complex workflows in a B2B SaaS environment (preferred).

Technical Skills

• Analytics tools:Mixpanel, Amplitude, Pendo,Statsig, or equivalents.
• SQLproficiencyrequired.
• Experience with BI tools such as Looker, Mode, or Tableau.
• Python or R preferred for deeper analysis.
• Experience with Claude Code.

Nice to Have

• Experience with customer support or CRM platforms such as Zendesk, Intercom, Salesforce, or HubSpot.
• Familiarity with fintech, regulated environments, or data privacy considerations.
• Experience building analytics standards or product operations practices in a scaling organization.
• Knowledge of data taxonomy, instrumentation frameworks, or analytics governance models.

WhyYou’llLove This Role:

• Make a direct impact on product strategy and decision-making across a fast-growing FinTech organization.
• Shape how teams understand customer usage and behavior—your insights will influence what we build and why.
• Work closely with Product, CS, and Data, gaining visibility into multiple parts of the business.
• Own foundational analytics systems and frameworks with the autonomy to improve and scale them.
• Join a collaborative, high-energy environment that values clarity, curiosity, and customer-driven thinking.

What Makes This Role Hard:

• High expectationsaround insight quality—you’llneed to go beyond reporting and deliver meaningful interpretations.
• Complex, high-velocity environment that demands prioritization and agility.
• You’llbe translating signals from many sources (qual + quant), which requires synthesis and judgment.
• Ensuring teams understand and use metrics consistently can be challenging in a fast-scaling organization.

Join us and help redefine the future of investment research.Apply today!