SiFi

Data Analyst

United States full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

This is a remote position.
About the role
SiFi is a B2B spend management platform operating under SAMA regulation. We move fast and we decide with data, which means someone has to build the reporting layer everyone relies on and then go digging when the numbers look wrong.
This role does both. You will own the dashboards that the business runs on, and you will be the person who takes an ambiguous question and comes back with an answer people can act on.
What you'll do
Build and maintain dashboards across spend, card operations, support, and GTM. Own them end to end: definitions, data quality, refresh reliability.

Write SQL directly against our core banking database and other production sources. Most of the interesting work starts here.

Run deep dives on demand: decline code patterns, cohort behaviour, funnel drop-offs, campaign performance, anomalies flagged by ops.

Turn findings into decisions. A clear recommendation with a stated confidence level beats a beautiful chart with no conclusion.

Define and document metrics so the same number means the same thing across teams.

Support regulatory and internal reporting where analytics is the input.

Automate the repetitive parts. If you're pulling the same extract every week, build it once and stop.

Requirements
What we're looking for
Required

Strong SQL. You can write and debug complex joins, window functions, and CTEs against a large transactional schema without hand-holding.

Experience building dashboards in a BI tool (Metabase, Power BI, Tableau, Looker, or similar).

Python or R for analysis beyond what SQL handles cleanly.

Ability to scope a vague business question into something answerable, and to say clearly when the data can't answer it.

Comfortable working directly with ops, product, and commercial stakeholders.

Nice to have

Fintech, payments, or banking background. Familiarity with card transaction data, authorisation flows, or scheme reporting is a strong advantage.

Exposure to KSA financial services and SAMA reporting requirements.

Workflow automation experience (n8n, Airflow, or similar).

Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT Data Analysis MySQL Operations Python Remote Collaboration Mid level

Likely questions

  1. Tell us about work you have done that is close to the Data Analyst role.
  2. How would you approach your first 30 days at SiFi?
  3. Which of Data Analysis, MySQL and Operations have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, MySQL and Operations.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Data Analyst role because I can bring practical experience in Data Analysis, MySQL and Operations, learn the team quickly, and contribute to the outcomes SiFi needs from this hire.

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