Data Analyst (Operations Intelligence & Strategy) at TAP

Al Maathar Municipality, Riyadh Region, Saudi Arabia -

Full Time

Start Date

Immediate

Expiry Date

06 Jun, 26

Salary

0.0

Posted On

08 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, KPI Definition, Metrics Frameworks, BI Tools, Cohort Analysis, Data Quality Validation, Statistical Concepts, Payment Processing Metrics, Data Pipelines, Dashboard Visualisation, Data Analysis, React Native Engineers Interaction, GRC Alignment, Finance Alignment, Documentation

Industry

Financial Services

Description

About Tap Tap Payments is revolutionizing online payments across the MENA region by connecting businesses with simple, unified payment experiences. We need exceptional talent to help us on this journey. The Operations Team Great ideas aren't enough. To build a truly global business, we need great experiences. Join our operations team and help build, operate, and scale our customer, financial and administrative operations across the Middle East and beyond. Yalla! let's do this As a Tapster you will: Define the criteria and formulas for all key Ops metrics — acceptance rates, chargeback ratios, onboarding TTL, KYC queue age, SLA breach rates, dispute resolution times, and more Work with the Ops leadership team to design new KPIs when new domains or functions are added Review existing dashboards and reports to identify measurement inconsistencies, formula errors, or misleading representations Guide the React Native Engineers and product teams on how to build data pipelines and dashboard visualisations that correctly reflect defined formulas Produce cohort analyses — comparing merchant segments, market performance, BIN group behaviour, or time-period comparisons Define segmentation logic — which merchants go into which cohort, what counts as an 'active' merchant, what defines a 'failed' transaction Develop and maintain a Metrics Dictionary: a living document that defines every metric Ops reports, including formula, data source, refresh frequency, and known limitations Validate data quality — working with Engineering to identify data gaps, duplicate entries, or incorrect event tracking that affects report accuracy Support leadership sessions with ad-hoc analysis — pulling specific data cuts to answer leadership questions that go beyond standard dashboards Work with GRC and Finance to ensure Ops metrics align with regulatory reporting requirements and financial reconciliation standards What you will bring to the party: 2–4 years in a data analyst role — fintech, payments, or e-commerce strongly preferred Strong SQL — comfortable writing complex queries across multiple tables without assistance Experience defining KPIs and metrics frameworks — not just pulling numbers but designing what gets measured Experience working with BI tools (Metabase, Looker, Tableau, Power BI, or similar) Does not need to build dashboards alone but must understand how they work Comfortable with averages, percentiles, rates, cohort analysis, and basic statistical concepts Able to spot misleading aggregations Understanding of payment processing metrics (authorization rates, chargeback ratios, settlement cycles) is a strong advantage Able to explain metric definitions and methodology clearly to non-technical stakeholders, including leadership and merchant teams Meticulous — every formula, data source, and assumption must be documented Degree in Mathematics, Statistics, Economics, Computer Science, or equivalent 2–4 years — mid-level role; depth of analytical thinking matters more than seniority Key Deliverables: Metrics Dictionary: Complete documentation of every Ops KPI — formula, source, owner, refresh rate Dashboard Review: Monthly review of all active Ops dashboards for accuracy and consistency Cohort Analysis: Quarterly cohort performance reports across merchant segments and markets Ad-hoc Analysis: Turnaround within 48 hours for leadership-requested data cuts Data Quality Report: Quarterly report on data quality issues affecting Ops reporting Are you ready to shape the future of payments in MENA?

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Responsibilities

The role involves defining criteria and formulas for all key Operations metrics, such as acceptance rates and chargeback ratios, and guiding engineering teams on building accurate data pipelines and visualizations. This includes producing cohort analyses and developing a comprehensive Metrics Dictionary for all reported KPIs.