Business Intelligence Analyst

PayDo, a leading Electronic Money Institution (EMI) authorised by the FCA in the UK, FINTRAC in Canada, and MFSA in Malta, operates in 140 countries and over 25 industries. Offering multicurrency IBANs, merchant solutions and mass payment options, PayDo provides premium and convenient payment services. With all features available through one platform and contract, PayDo is a preferred solution for local and international payments. About the role We are building our business intelligence capability from the ground up and have not yet committed to a BI platform. We’re looking for a hands-on BI expert who has worked across multiple BI tools, can evaluate the options against our real needs — data security, scalability, cost, embeddability — recommend the right stack, and then implement it end to end. This is both a decision-making and a build role. You won’t inherit a fixed toolset; you’ll help define it. What you’ll own Phase 1 — Evaluate & select Audit our data sources, reporting needs, stakeholders, and constraints (security, budget, team skills). Benchmark candidate platforms (e.g. Tableau, Power BI, Metabase, Grafana, Looker, Superset) against those criteria. Present a reasoned recommendation with clear trade-offs on cost/licensing, data security, scalability, and maintainability. Phase 2 — Build Stand up the chosen platform from scratch: connections, data models, governance, permissions and row-level/role-based access, first production dashboards. Establish standards for reporting, naming, and documentation. Ongoing — Operate & scale Prepare regular (daily/weekly/monthly) and ad-hoc reports across finance, payments, operations, sales, marketing, and product. Gather stakeholder requirements, draft functional specs and wireframes, validate data accuracy, and finalize reports with stakeholders. Implement scheduled email summaries and event-based (trigger) notifications to departments. Automate data collection, processing, and aggregation via SQL/scripts; reduce manual effort and speed up refresh cycles. Design and maintain database schemas (OLTP/OLAP); write high-performance SQL, apply indexing, optimize complex JOINs; ensure data integrity and manage access controls. Set up secure export procedures (CSV/Parquet/JSON) and automate data dumps for internal teams and external partners, with quality and completeness checks. Advise the team on BI best practices, run trainings/workshops, troubleshoot incidents, and maintain documentation and user guides in Confluence. Requirements 4+ years as a BI Analyst, BI Engineer, or Data Analyst — ideally in fintech, payments, e-commerce, or a regulated data environment. Production, hands-on experience with at least 2–3 BI platforms (e.g. Tableau, Power BI, Metabase, Grafana, Looker, Superset) — not just “familiarity,” but having built dashboards, prepared data models, and administered the tool. Demonstrated experience selecting, migrating, or standing up a BI tool/platform — you have made, or strongly influenced, the “which tool” decision at least once. Ability to reason about platform trade-offs: licensing/cost models (per-user vs. capacity vs. open-source), data connectivity, self-service vs. governed reporting, embedding/white-label, scalability, on-prem vs. cloud, and security/compliance. Strong SQL: complex queries, analytical/window functions, JOIN and query optimization. Data modeling: relational and analytical models (OLTP/OLAP); structuring data for reporting; consistency across sources. Automation: ETL concepts, scheduling, automating collection/processing/reporting workflows. Security mindset for regulated data: role-based / row-level access, SSO, audit trails, awareness of data-residency constraints. Clear communicator — can explain findings and justify technical decisions to both technical and non-technical stakeholders; comfortable gathering requirements. Documentation discipline (Confluence). English: Upper-Intermediate+. Overlap with CET working hours (remote-first). Nice to have Experience with embedded / white-label analytics (serving dashboards to external clients). Modern data stack exposure (dbt, warehouse-native modeling) and Python for automation. Prior EMI / PSP / open banking data experience and awareness of regulatory reporting. Experience running a tool evaluation or migration as a documented, criteria-based process. We work in a result-driven culture. You’ll fit in if you: Are meticulous, dependable, and proactive. Communicate clearly and professionally with stakeholders across teams. Have a strong problem-solving mindset and can turn complex data into clear insights for non-technical audiences. Demonstrate high attention to detail and prioritize effectively in a fast-changing environment. Take a proactive approach to spotting patterns, proposing improvements, and catching data issues before they reach reports. What we offer: Annual Learning & Development Budget – invest in your growth with dedicated funds for courses and certifications Regular Performance Reviews Based on KPIs – for your professional advancement Transparent career path – opportunity to reach Lead roles within 1 year, Head roles in 2 years, and C-level in 4 years based on performance Innovation Financial Rewards – share your ideas via PayDo Ideas Hub and earn extra bonuses Paid Vacation & Sick Leave – with flexibility to transfer unused days or receive compensation Public Holidays – aligned with your country’s calendar Flexible payout options – via PE accounts or popular e-wallets

The role involves evaluating and selecting a BI platform from scratch and implementing the end-to-end data stack. Responsibilities include building data models, creating production dashboards, and automating reporting workflows across various business departments.

Requires 4+ years of experience as a BI or Data Analyst, preferably in fintech, with hands-on expertise in multiple BI tools and strong SQL skills. Candidates must have a proven track record of selecting and implementing BI platforms and a security-first mindset for regulated data.

• Annual Learning & Development Budget • Regular Performance Reviews Based on KPIs • Transparent Career Path • Innovation Financial Rewards • Paid Vacation & Sick Leave • Public Holidays • Flexible Payout Options

• Technical DocumentationPreferred
• SQLPreferred
• Stakeholder ManagementPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Business Intelligence
• SQL
• Data Modeling
• ETL
• Data Governance
• Dashboard Development
• OLTP/OLAP
• Data Security
• Requirement Gathering
• Technical Documentation
• Python
• dbt
• Stakeholder Management
• Analytical Functions
• Query Optimization
• Fintech

• Data & Analytics
• Technology
• Finance & Accounting
• Software
• Engineering

Minimum experience

5+ years

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level