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PadSplit

Senior Data Analyst (Fully Remote)

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Remote from
LATAM
Salary
USD 45k–55k / yr
Department
Data Science & Analytics
Employment
Contract
Experience
Senior
Published
Apply before
31 Oct 2026
Listing views
114
Application actions
8
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AI Summary

The role, at a glance.

PadSplit is seeking a Senior Data Analyst to own end-to-end business analysis and build reliable analytics infrastructure for cross-functional decision-making. The role centers on advanced SQL, Snowflake, dbt data modeling, and Hex-based dashboards and reporting. The analyst will define metrics, investigate anomalies, validate data quality, document analytical assets, and communicate recommendations to technical and business stakeholders. Candidates need at least five years of analytics experience, strong independent judgment, and the ability to mentor peers while responsibly using AI-enabled tools.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a senior, highly autonomous analytics role requiring expert SQL, production dbt practices, and reliable stakeholder-facing decision support. The work involves ambiguous questions, complex data validation, and defending methodology across technical and non-technical audiences.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianBelow market
$50,000
US market range$95k–$135k
AI insightThe disclosed yearly compensation range is USD 45,000–55,000, with a midpoint of USD 50,000. For comparison, the estimated US market range for a senior data analyst with 5+ years of experience and Snowflake, dbt, and advanced SQL expertise is approximately USD 95,000–135,000 annually; this market comparison is an estimate and may differ for a South America-based contract engagement.

Core skills

Skills and capabilities most closely associated with this opportunity.

Advanced SQLSnowflakedbtHexData ModelingBusiness IntelligenceDashboard DevelopmentData QualityMetric DefinitionStakeholder Management
Sample interview questions
How would you approach an ambiguous request from a business leader to explain why a key metric declined?

I would first align on the metric definition, reporting period, decision context, and expected level of granularity. I would validate the underlying data, segment the metric across relevant dimensions, test plausible drivers, and document assumptions before sharing a concise narrative with evidence and recommended next actions.

Describe how you optimize a complex SQL query in Snowflake.

I begin by reviewing the query profile and execution plan to identify expensive scans, joins, and repeated transformations. I reduce unnecessary columns and filters, simplify joins, use CTEs carefully for readability, leverage appropriate clustering or incremental models where justified, and validate that the optimized query returns the same results.

What makes a dbt model production-ready?

A production-ready model has a clear business purpose, appropriate materialization, documented columns and metric logic, source freshness where needed, and tests for uniqueness, non-null values, relationships, and accepted values. It should also follow consistent naming, be maintainable by other analysts, and have an owner for ongoing quality.

How would you investigate an anomaly in a leadership dashboard?

I would confirm whether the anomaly is real by checking source freshness, pipeline status, metric logic, and recent dashboard or model changes. Then I would isolate when the change began, segment it by key dimensions, identify the root cause, quantify the impact, and communicate both the finding and any remediation needed.

How do you use AI tools in analytics while maintaining accuracy and data security?

I use AI to accelerate tasks such as drafting queries, documentation, and exploratory hypotheses, but I independently validate outputs against trusted data and business logic. I avoid exposing sensitive data to unapproved tools, review generated SQL for correctness and efficiency, and make final recommendations only after reproducible verification.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

The Role We Need

PadSplit runs on data, from Growth and Operations to Product and Finance, and we need someone who can turn that data into clear, trustworthy decisions. We’re looking for a Senior Data Analyst to own analyses end to end, build durable reporting infrastructure, and help shape how the company measures its business. This person will work daily across our modern data stack (Snowflake, dbt, and Hex) to answer high-impact questions and raise the analytical bar across the team.

The Person We Are Looking For

We’re looking for someone with 5+ years of analytics experience who is equally comfortable writing expert-level SQL and translating ambiguous business questions into rigorous, well-documented analysis. This person is a strong communicator who can defend their methodology to technical and non-technical audiences alike, and who brings sound judgment about when to lean on AI tools versus when to verify. They’re curious, detail-oriented, and take ownership seriously, from scoping a question through to following up on the outcome.

Here’s What You’ll Be Doing Day-to-Day:

  • SQL & Analysis: Write, optimize, and maintain complex SQL against our Snowflake warehouse to answer business questions accurately and efficiently.
  • dbt Modeling: Build and maintain dbt models that transform raw data into well-documented, tested, and reusable datasets.
  • Dashboards & Reporting: Build dashboards, apps, and reporting in Hex that leaders trust and use to run the business.
  • Stakeholder Partnership: Partner with teams to define metrics, scope analyses, and translate ambiguous questions into clear analytical work.
  • Anomaly Investigation: Investigate anomalies in key metrics, identify root causes, and communicate findings with clear recommendations.
  • Documentation: Maintain documentation across dbt and Hex so metric definitions stay consistent across teams.
  • Data Quality: Validate sources, pressure-test assumptions, and flag gaps before they reach decision-makers.
  • AI-Assisted Work & Mentorship: Use AI tools to accelerate analysis and reporting while verifying outputs, and mentor other analysts on best practices.

Here’s What You’ll Need to Be Successful:

  • Analytics Experience: 5+ years of experience in data analytics or a closely related field.
  • Expert SQL: Advanced skills in window functions, CTEs, query optimization, and large, complex datasets.
  • Snowflake Expertise: Hands-on experience with Snowflake as a primary data warehouse.
  • dbt Experience: Building and maintaining dbt models in a production analytics environment, including tests and documentation.
  • Hex/Notebook Reporting: Experience building reporting in Hex or a similar notebook-based analytics platform.
  • End-to-End Ownership: A track record of owning analyses from scoping through delivery and follow-through.
  • Strong Communication: Ability to explain technical findings to non-technical audiences and defend your methodology.
  • AI Fluency & Judgment: Working familiarity with AI tools in analytics, paired with sound judgment on when to verify outputs and how to handle sensitive data.

The Interview Process:

  • Your application will be reviewed for possible next steps by a real human being from the PeopleOps team.
  • If you meet eligibility requirements, the next step would be a video interview with a member of the PeopleOps team for about thirty (30) minutes.
  • If warranted, the next step would be a video interview with our Head of Business Intelligence for forty-five (45) minutes.
  • If warranted, the next step would be an SQL assessment through Coderbyte.
  • If warranted, the next step would be a video panel interview with key stakeholders at PadSplit for one and a half (1.5) hours.
  • If warranted, we move to offer!

Compensation, Benefits, and Perks:

  • Fully remote position – we swear!
  • Competitive compensation package including an equity incentive plan and company-wide bonus opportunity
  • National medical, dental, and vision healthcare plans
  • Company provided life insurance policy
  • Optional accidental insurances, FSA, and DCFSA benefits
  • Unlimited paid-time (PTO) policy with eleven (11) company-observed holidays
  • 401(k) plan
  • Twelve (12) weeks of paid time off for both birth and non-birth parents
  • The opportunity to do what you love at a company that is at the forefront of solving the affordable housing crisis

Compensation

Additional Information

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