Data Analyst

SiFi - Simplified Financial Solutions Company; Riyadh; Hybrid; SAR 120,000 - 240,000; Full time

Job summary

SiFi - Simplified Financial Solutions Company is seeking a data analytics professional to own the reporting layer. You will build and maintain dashboards across spend, card operations, support, and GTM, writing SQL against core banking data and other sources.

You will run deep dives, turn findings into actionable recommendations, and define metrics for consistency across teams, supporting regulatory and internal reporting with analytics input.

Qualifications

• Strong SQL: write and debug complex joins, window functions, and CTEs on large schemas.
• Experience building dashboards in a BI tool (Metabase, Power BI, Tableau, Looker).
• Python or R for analysis beyond SQL.

Responsibilities

• Own dashboards across spend, card operations, support, and GTM; ensure definitions and data quality.
• Write SQL directly against core banking and other production sources.
• Run deep dives on demand: identify patterns, funnel drop-offs, or anomalies.
• Turn findings into actionable recommendations with clear confidence levels.
• Define and document metrics to ensure consistency across teams.
• Support regulatory and internal reporting with analytics inputs.

Skills

Strong SQL

BI dashboards

Python or R

Tools

Metabase

Power BI

Tableau

Looker

Job description

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).