Soayba Hassan

Microsoft-certified BI & Data Analyst with 5+ years of experience building enterprise-scale analytics, reporting, and data pipeline solutions in the fintech sector. Built a company's BI ecosystem from the ground up, delivering 20+ Power BI dashboards used by 50+ regular users across Finance, Risk, Product, and Executive teams, supporting a combined active portfolio of PKR 2.5 billion. Skilled in SQL, Power BI, DAX, Power Query, Python, and Talend ETL, with a track record of translating complex business requirements into scalable, self-serve reporting.

Comfortable working independently and across distributed, cross-time zone teams — including two years of remote freelance client delivery. Known for automating manual processes, improving data reliability, and cutting reporting turnaround time.

BI & Data Analyst / Technical Business Analyst at NOVA Finance (2024-03 – Present)

• Designed and built the company's first end-to-end Business Intelligence reporting ecosystem from scratch, delivering 20+ Power BI dashboards and analytical reports used by Finance, Credit Risk, Operations, Product, Customer Support, and Senior Management (50+ regular users).
• Automated daily reconciliation reporting for Finance, cutting manual preparation time by ~50% and reducing turnaround from 5 hours to 2 hours per cycle.
• Delivered reporting solutions across 5 lending products — including Earned Wage Access (EWA), Advance Plus Loans, Payroll Financing (PF), and Salary Plus Loans — supporting a combined active portfolio of PKR 2.5 billion (~$9M).
• Built Employer Performance Dashboards giving real-time visibility into employer activity, portfolio performance, and utilization across 60+ employer accounts.
• Developed Product Portfolio dashboards tracking disbursements, interest, fees, repayments, outstanding balances, recovery trends, and loan aging — directly informing ~PKR 575 million (~$2.07M) in monthly portfolio decisions.
• Engineered Credit Scoring and Risk Analytics reports used in underwriting decisions, contributing to a 30% reduction in default rate, 15% improvement in recovery rate, and 20% reduction in portfolio at risk (PAR).
• Architected reusable semantic data models and optimized DAX/SQL logic, improving dashboard load times by 25% and cutting report maintenance effort by 40%.
• Built a Call Center Performance dashboard by integrating ticket data via REST APIs, tracking ticket volume, resolution time, SLA compliance, and agent performance — enabling 40% faster identification of SLA breaches and reducing manual reporting time by ~50%.
• Processed and analyzed data for 40,000+ customers, enabling self-serve, organization-wide business insights via Power BI.
• Owned the full BI delivery lifecycle — requirements gathering, SQL development, ETL (Talend), data modeling, dashboard build, testing, and deployment — for 10+ reporting products spanning Finance reconciliation, lending portfolios, call center operations, credit risk, and client onboarding/activation.

Freelance BI Analyst at Self-Employed (2022-05 – 2024-01)

• Delivered custom Power BI reports and client engagement dashboards for multiple small-business clients, including product purchase and customer engagement analytics.
• Managed end-to-end delivery — requirements gathering, data modeling, report build, and handover — while working independently and remotely with clients across different time zones.

Business Analyst / Associate Project Manager at Digitify (2020-02 – 2021-05)

• Authored BRDs, PRDs, functional specifications, and user stories for 7 fintech projects delivered via Agile methodology.
• Coordinated cross-functional delivery across engineering, product, and QA teams, improving on-time delivery rate by 20%.
• Identified business process gaps and led the team's shift to Jira for automated story/sprint tracking and Confluence for centralized product documentation, reducing manual status reporting and improving cross-team visibility.
• Led UAT cycles across 11 releases, ensuring smooth, low-defect production launches.

Software Engineer at i2c Inc. (2017-11 – 2020-01)

• Provided production support for fintech and payment-processing platforms serving 35+ clients, maintaining 92% SLA compliance.
• Managed end-to-end onboarding, testing, implementation, database management, and program setup for new fintech clients and integrations.
• Diagnosed and resolved database and system issues using SQL and log analysis, improving average incident resolution time.
• Collaborated with technical and business teams to maintain platform stability, supporting consistent uptime for mission-critical payment systems.

Master of Computer Science – FAST National University (2015-09 – 2018)

Bachelor of Information Technology – University of the Punjab (2012 – 2015)