Komal Singh Saini — Business Development Executive

I turn messy data into trusted numbers and missed revenue into recovered dollars. Having 10 years experience at Data Career App, Accenture, British Telecom, AT&T and Orange Business, I have built a consistent track record of improving data accuracy, automating reporting, and protecting the bottom line. 𝐊𝐞𝐲 𝐀𝐜𝐜𝐨𝐦𝐩𝐥𝐢𝐬𝐡𝐦𝐞𝐧𝐭𝐬 :- Improved recognised revenue accuracy by $4M+ annually at AT&T and recovered $850K+ in disputed revenue through variance analysis and root cause investigation. Automated reconciliation of 200K+ monthly transactions at Accenture, reducing manual effort by 80% and cutting exceptions by 70%. Designed a daily automated Data Quality Monitoring framework across 7 dimensions and 50K+ records, creating a single source of truth for data health. Built 20+ interactive Power BI dashboards and scalable reporting solutions integrated with SQL databases, reducing analysis turnaround time by 50%. Core toolkit: SQL · Oracle SQL · DAX · Power BI · Google BigQuery · Oracle SQL Database · Bigquery · Advanced Excel · Data Reconciliation · Revenue Assurance · Variance Analysis · KPI Development · Stakeholder Management Certifications: Microsoft Certified Power BI Data Analyst (PL-300) · PRINCE2 Foundation & Practitioner Based in Melbourne with full working rights. Open to Business Data Analyst, Data Quality Analyst, BI Analyst, and Revenue Assurance Analyst roles. Connect or message me — always happy to chat.

Stackforce AI infers this person is a Data Analyst specializing in Revenue Assurance and Data Quality within the SaaS industry.

Location: Melbourne, Victoria, Australia

Experience: 8 yrs 8 mos

Skills

Data Quality Monitoring
Power Bi
Data Analysis
Data Reconciliation
Sql
Revenue Assurance
Project Management

Career Highlights

Recovered $850K+ in disputed revenue through analysis.
Automated reconciliation of 200K+ transactions, reducing effort by 80%.
Designed a Data Quality Monitoring framework for 50K+ records.

Work Experience

datacareer.app 🤖

Data Quality and Insights Analyst (3 mos)

Accenture

Business Data Analyst (4 mos)

BT Group

Business Data Analyst (1 yr 9 mos)

AT&T

Senior Associate-Revenue Assurance Team (8 mos)

Associate -Revenue Assurance Team (2 yrs)

Orange Business

Project Coordinator (3 yrs 11 mos)

Education

B.Tech: ECE at Punjab Technical University

Master of Business Administration at CHANDIGARH UNIVERSITY

12th at DAV College, Hoshiarpur

10th at Mount Carmel School

Komal Singh Saini

Business Development Executive

Melbourne, Victoria, Australia8 yrs 8 mos experience

Key Highlights

Recovered $850K+ in disputed revenue through analysis.
Automated reconciliation of 200K+ transactions, reducing effort by 80%.
Designed a Data Quality Monitoring framework for 50K+ records.

Stackforce AI infers this person is a Data Analyst specializing in Revenue Assurance and Data Quality within the SaaS industry.

Contact

Skills

Core Skills

Data Quality MonitoringPower BiData AnalysisData ReconciliationSqlRevenue AssuranceProject Management

Other Skills

Microsoft ExcelKPI DashboardsTableauAzure SQL DatabaseGoogle BigQueryPython (Programming Language)Data ModelingEDAVariance AnalysisDAXExcel DashboardsData VisualizationOracle SQL Developer

About

Experience

Datacareer.app 🤖

Data Quality and Insights Analyst

Nov 2025 – Feb 2026 · 3 mos · Australia · Remote

Project :- Hidden Job role Detection
● Developed and deployed a job classification algorithm using skill extraction, assigning scores to skills , co-occurrence matrix and frequency analysis, automating categorization of approx. 2,000 job descriptions weekly and reducing manual intervention by 90%.
● Developed, maintained, and delivered Power BI dashboards and visualisations, including Total Data Jobs, Standard Data Jobs, and Hidden Data Jobs, clearly communicating insights on skills demand, companies, locations, and role trends to stakeholders..
Project: Data Quality Rules – Monitoring Dashboard (Power BI & SQL)
● Designed and delivered a daily automated Data Quality Monitoring dashboard in Power BI, providing a single source of truth for data completeness, validity, consistency, timeliness, uniqueness, accuracy, and anomaly detection across job-posting datasets.
● Implemented 30+ data quality rules using SQL and Power BI to proactively monitor missing fields, invalid values, duplicates, future-dated records, stale postings, and ingestion gaps, significantly improving trust in reporting outputs.
● Built completeness metrics and NULL-rate profiling (including >90% NULL field detection), enabling early identification of schema issues and preventing downstream reporting errors.
● Implemented duplicate detection logic across job title, company, and posted date, identifying high-duplicate organisations and data sources to support root-cause analysis and data pipeline improvements.
Project :- App Feature Enhancements & Product Development
Built a Power BI job-market intelligence dashboard combining supply, competition, and opportunity metrics into a single decision framework.Developed a Market Temperature Gauge ,state-level , Job supply and competition indicators to surface favourable application conditions.

Data AnalysisMicrosoft ExcelData Quality MonitoringPower BI

Accenture

Business Data Analyst

Sep 2023 – Jan 2024 · 4 mos · India · On-site

● Automated reconciliation of 200K+ monthly EMI transactions for Samsung mobile phones by implementing SQL-based data mapping and validation checks, reducing manual reconciliation effort by 80%.
● Enabled early detection of 1,000+ missing loan entries per month, significantly reducing revenue leakage.
● Enhanced data quality across EMI transaction datasets to support finance and operations decision-making, resulting in a 10% increase in data accuracy.
● Implemented robust SQL-based control logic and validation rules within invoice-order reconciliation processes, resulting in a 70% reduction in reconciliation exceptions.
● Developed a comprehensive suite of DAX measures to monitor and analyse key project metrics, including Active EMI Customers, Missing Loan Amounts, Percentage of Loan Paid, Remaining Loan Balance , Number of Payments Remaining, and Early/Late Payment Indicator in Power BI Desktop.

KPI DashboardsData AnalysisData ReconciliationSQL

Bt group

Business Data Analyst

Dec 2021 – Sep 2023 · 1 yr 9 mos · India · On-site

Project: - XBOX Gaming Passes | BRITISH TELECOM
● Strengthened British Telecom’s financial assurance by detecting contract rate deviations early, preventing revenue leakage and ensuring full compliance with Microsoft contract terms.
● Interpreted the BT–Microsoft commercial contract, extracting 20+ billing rules, including contracted rates, discounts and price-per-unit terms.
● Designed the SQL validation logic to automatically flag discrepancies where Microsoft invoicing did not match the agreed pricing models and internal ordering systems thus preventing potential revenue leakage by 20 %.
● Implemented automated billing validation for monthly rate checks and exception reporting, achieving a 90% reduction in manual effort and improving billing accuracy by 20%.
Project: - AppleCare Insurance | BRITISH TELECOM
● Reconciled 250K+ AppleCare claim records by integrating claims data with ordering and invoicing systems, achieving 98% accuracy across financial and device parameters.
● Automated reconciliation using Excel and SQL to validate claims and identify misbilled or invalid records, reducing manual effort by 70%.
● Built DAX-driven KPIs (Active Policies, Premium, Claims Paid, Profit) to support detailed financial and operational insights.
● Developed three targeted Power BI dashboards—Claims, Executive, and Sales—reducing claim delays by 30% and boosting conversions in low-performing regions by 12%.

Data AnalysisMicrosoft ExcelRevenue AssuranceSQL

At&t

2 roles

Senior Associate-Revenue Assurance Team

Promoted

Apr 2021 – Dec 2021 · 8 mos · India · On-site

● Led revenue recognition and missed-revenue identification across multiple service lines by analysing monthly transaction files and booking adjustments using Excel and Power BI, improving recognised revenue accuracy by $4M+ annually.
● Conducted detailed billing validation by comparing contract pricing, rate cards, and SOW terms against monthly billing extracts using Power BI dashboards, Excel models, and reconciliation checks; identified recurring discrepancies across 12+ projects and raised disputes to correct over- and under-billing.
● Resolved client billing disputes by collaborating with finance, sales, delivery, and operations teams; leveraged Power BI reports for variance analysis and trend tracking, recovering $850K+ in disputed or missed revenue through root-cause analysis, documentation, and process improvements

Data ReconciliationData AnalysisRevenue AssurancePower BI

Associate -Revenue Assurance Team

Mar 2019 – Mar 2021 · 2 yrs · India · On-site

● Led revenue recognition and missed-revenue identification across multiple service lines by analysing monthly transaction files and booking adjustments using Excel and Power BI, improving recognised revenue accuracy by $4M+ annually.
● Conducted detailed billing validation by comparing contract pricing, rate cards, and SOW terms against monthly billing extracts using Power BI dashboards, Excel models, and reconciliation checks; identified recurring discrepancies across 12+ projects and raised disputes to correct over- and under-billing.
● Resolved client billing disputes by collaborating with finance, sales, delivery, and operations teams; leveraged Power BI reports for variance analysis and trend tracking, recovering $850K+ in disputed or missed revenue through root-cause analysis, documentation, and process improvements

Orange business

Project Coordinator

Mar 2015 – Feb 2019 · 3 yrs 11 mos · India · On-site

Delivered 400+ global service orders annually across multiple enterprise customers, achieving a 98% right-first-time delivery rate through rigorous scope validation, quality checks, and on-time execution.
Coordinated 10+ internal teams and 20+ vendors to deliver network/connectivity deployments; improved on-time delivery by 30% through proactive planning, resource alignment, and bottleneck resolution.
Managed risk, issues, and escalations for 1,000+ active orders, resolving 85% independently and reducing repeat delivery delays by 25%, while maintaining 95%+ customer satisfaction.

Microsoft ExcelProject Management