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Senior Data Analyst (Fully Remote)

PadSplit

Remote · ArgentinaFull Time$45k–$55k
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Senior Data Analyst (Fully Remote) at PadSplit is a full time role based in Remote · Argentina (remote). The listing states pay of $45k–$55k. It was published on 4 September 2026 and was open at last check.

Senior Data Analyst (Fully Remote) at PadSplit — key details
RoleSenior Data Analyst (Fully Remote)
CompanyPadSplit
LocationRemote · Argentina (remote)
Employment typeFull Time
Pay (as listed)$45k–$55k
Published4 September 2026
StatusOpen at last check

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

Originally posted on Himalayas

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Create your free OnJob profile to apply — we'll take you to PadSplit's application after sign-up. · Posted 4 Sept 2026.

Senior Data Analyst (Fully Remote) at PadSplit — questions answered

What does the Senior Data Analyst (Fully Remote) role at PadSplit pay?

The Senior Data Analyst (Fully Remote) at PadSplit listing states pay of $45k–$55k for the Remote · Argentina (remote) position. That figure is taken directly from the employer's own posting as published, not estimated or averaged from other roles.

Is the Senior Data Analyst (Fully Remote) role at PadSplit remote?

Yes — PadSplit advertises this Senior Data Analyst (Fully Remote) role as remote, tied to Remote · Argentina, and it is listed as full time work. Remote terms come from the employer's own posting, so confirm the expected working hours, timezone and any on-site days with PadSplit before you apply.

Is the Senior Data Analyst (Fully Remote) role at PadSplit still open?

The Senior Data Analyst (Fully Remote) posting at PadSplit was open at OnJob's last check of the employer's careers page, having been published on 4 September 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.

How do you apply for the Senior Data Analyst (Fully Remote) role at PadSplit?

Apply to the Senior Data Analyst (Fully Remote) at PadSplit role through OnJob with a free profile: OnJob scores your fit against the listing, shows the skills lowering that score, and submits an ATS-ready profile to PadSplit's own application page. Creating a profile is free and needs no card.

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