About
Data Analyst with 3+ years of experience working across credit risk analytics, supply chain operations, and insurance sales analytics, using SQL, SAS, Python, Big Query, Power BI, Tableau, and Power Automate for reporting and analysis. Strong hands-on exposure to account origination and performance tracking, end-to-end KPI monitoring, and operational reporting, supported by regular dashboard refreshes, data validation, and reconciliation checks. Comfortable handling ad-hoc analysis and working closely with business stakeholders to clarify requirements and deliver accurate insights. Known for a practical approach, quick domain adaptation, and consistently delivering data-driven insights that support operational and business decisions.
Skills & Expertise (13)
Work Experience
Operations Supervisor
Microtech
May 2025 - Jul 2025
Worked on a supply chain and logistics analytics project focused on import–export operations. Analysed shipment, delivery, and inventory data to support operational tracking and reporting. Prepared dashboards and reports tracking order movement, turnaround time, delays, and operational KPIs. Supported data cleansing, validation, and standardisation across logistics datasets. Coordinated with operations teams to ensure data consistency and clarity in reports used for decision-making.
Credit Risk Analyst
BOQ
Mar 2023 - Apr 2025
Joined the credit risk analytics team during a phase where improving visibility across the account origination funnel was a key focus, and became closely involved in analysing how applications moved through the system. Analysed the origination flow across Application Received → Approved → Booked → Declined, tracking volumes, conversion rates, and drop-offs at each stage to understand channel and portfolio growth patterns. Used SQL and SAS Enterprise Guide to extract and combine data from application, decisioning, and booking systems, ensuring consistent definitions across approved, booked, and declined populations. Monitored changes in approval quality and booking behaviour over time, identifying trends by channel, customer segment, and product to support origination strategy discussions. As accounts moved beyond booking, extended analysis into early performance monitoring, linking origination characteristics with subsequent utilisation and delinquency behaviour. Owned regular MIS and dashboard reporting, managing the full cycle from data extraction and validation to reconciliation and publishing dashboards in Power BI and Tableau. Built and enhanced automation workflows using SAS macros and Big Query, reducing manual effort and improving turnaround time as origination and performance reporting scaled. Supported deep-dive and root-cause analysis when origination or performance metrics shifted unexpectedly, using SQL, SAS, and Excel to explain drivers behind approval rates, booking drops, or portfolio quality changes. Worked closely with risk, business, and operations teams, often walking stakeholders through funnel movement and performance insights to support informed credit and growth decisions.
Analyst
Liberty Mutual Insurance
Aug 2025 - Present
Supporting insurance sales and performance analytics by tracking policy issuance, renewals, cancellations, and sales funnel metrics, using SQL, SAS, and Python to extract, clean, and prepare data from source systems. Preparing daily, weekly, and monthly MIS reports to monitor agent performance, conversion ratios, premium growth, and target achievement, leveraging SAS and Python for data processing and consistency checks to ensure timely delivery for business reviews. Refreshing and maintaining interactive dashboards in Power BI, supported by Python- and SQL-based data pipelines, providing visibility into sales pipeline, regional performance, product-wise trends, and channel performance. Performing data validation, reconciliation, and sanity checks on sales and commission data using SAS, Python, and Big Query to ensure accuracy before reports are shared with management. Handling ad-hoc analysis requests from sales leadership, including performance deep-dives, agent-wise comparisons, and trend analysis, using Python, SQL, and BI tools under tight timelines. Working closely with sales, operations, and finance teams to clarify reporting logic, resolve data discrepancies, and ensure numbers are consistent, trusted, and decision-ready across all reporting outputs.
Education
Bachelor of Technology - GGSESTC, Bokaro
- · Afghanistan
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Citizen
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Open to Relocation
