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isha11bansal's photo
isha bansal
From United Arab Emirates
$110,000/yr
Active over a week ago
Member since Apr 2026

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Senior Data Analyst

Data Analyst
Available for hire
Years of experience
6+ years
Experience level
Senior
Available for
Full-time
Available from
23 Jul 2026

Senior Analytics Engineer with 6+ years of experience across banking, consulting, financial services, and real estate — currently based in Dubai.

I've worked at ANZ Bank, KPMG, CFI, and now WASL, where I build the dashboards, data models, and reporting layers that teams actually use to make decisions.

What makes me different?

I've always sat at the intersection of data and business. I don't just write SQL and build pipelines — I work directly with Product, Marketing, and Operations teams to figure out what questions matter, then go find the answers in the data.

  • At WASL — real estate analytics: tenant segmentation, occupancy KPIs, platform migrations
  • At ANZ Bank — banking: customer onboarding, compliance dashboards, report migration
  • At KPMG — consulting: client sentiment analysis, process automation, stakeholder reporting

The domain changes, but the approach stays the same: understand the business problem first, then build the right analytical solution.

Tech I work with:

SQL · Python · Power BI · Qlik Sense · Airflow · Databricks · dbt · Azure · Microsoft Fabric

I've led platform migrations, built data validation frameworks from scratch, and contributed to AI/ML initiatives. I care about data quality — not as a checkbox, but because bad data leads to bad decisions.

What I'm looking for:

A remote Senior Data Analyst or Analytics Engineer role where I can:

  • Work cross-functionally with real impact on business outcomes
  • Be part of a team that takes data seriously
  • Thrive in a fast-paced environment where the problems aren't always well-defined

Open to fintech, proptech, SaaS, or any product-led company that values what good analytics can do.

Skills

No skills.

Languages

English

Employment History

Senior Data Analyst at Wasl Current 2024 - Now
- Analyse large property, occupancy, contract, and sales datasets to identify trends, risks, and optimisation opportunities across the real estate portfolio. - Define and track KPIs across operational and product performance, building Power BI dashboards with real-time occupancy alerts and comprehensive performance monitoring used daily by leadership. - Conduct tenant segmentation analysis integrating demographic and behavioral data, breaking down ambiguous business problems into structured analytical approaches for Marketing and Operations teams. - Build and maintain analytics-ready data models using dbt-style transformations, improving data accuracy, consistency, and internal reporting standards across all layers. - Partner with Product and cross-functional teams to translate complex business requirements into scalable data solutions aligned with organisational objectives. Key Achievements: - Led analytics platform migration from Databricks to Microsoft Fabric, improving scalability and operational efficiency — demonstrating comfort operating in fast-paced, scaling environments. - Developed tenant personas adopted by Marketing, Operations, and Strategy teams, directly improving targeting and decision-making across the business. - Built data validation frameworks achieving 95%+ accuracy across all reporting layers. - Contributed to AI/ML initiative (LLM-based chatbot), supporting feature validation through data preparation and analytics integration.
Data Engineer at CFI Trade 2024 - 2024
- Built Python scripts and Airflow DAGs to orchestrate data workflows, improving data accuracy and consistency across multiple systems. - Implemented data governance frameworks and established best practices for documentation, lineage tracking, and internal - Prepared ad-hoc reports using Databricks and DataGrip to support business intelligence needs and translate data into actionable business insights. - Collaborated with stakeholders to define data requirements and break down business problems into clear technical specifications. Key Achievement: - Reduced data inconsistencies by 60% through automated validation and rigorous quality checks across multi-system data flows.
Data Analyst at ANZ Bank 2021 - 2024
- Analysed large datasets across enterprise systems using complex SQL queries to identify trends, surface risks, and deliver actionable insights to business stakeholders. - Built and maintained Qlik Sense dashboards and reporting frameworks tracking KPIs including customer onboarding volume, system discrepancies, and weekly/monthly performance trends. - Defined business requirements, source-to-target mappings, and data models — partnering with Product and Engineering teams to support feature validation and performance measurement. - Developed automated ETL scripts using KNIME to extract, transform, and structure datasets, improving data accuracy and reporting reliability. Key Achievements: - Migrated five operational reports from Excel to Qlik Sense, reducing manual effort by two days per report and boosting accuracy by 90%. - Increased dashboard adoption rate by 30% through UX improvements and data model optimisation.
Data Analyst at KPMG 2019 - 2021
- Applied statistical techniques to analyse large datasets, identify patterns, trends, and outliers, and translate data into actionable business insights for non-technical stakeholders. - Built clear, reliable Power BI dashboards for sentiment analysis and operational reporting, reducing data processing time by 80%. - Broke down ambiguous client business problems into structured analytical approaches, collaborating with cross-functional teams to deliver data solutions. - Wrote Python script using PDF scanning and OCR APIs to automate document matching, eliminating a manual process entirely. - Conducted Power BI training sessions across the organisation, enabling self-service analytics and improving internal reporting standards.

Education

Masters in Data Analytics at Deakin University 2018 - 2020
Bachelor of Technology in Computer Science Engineering at JIIT, India 2014 - 2018
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