Data Analyst & Business Intelligence Specialist

Transforming complex enterprise data into defensible decisions and clear dashboards.

Over 6.5 years of enterprise commercial data experience at Numerator delivering market intelligence, automated reporting pipelines, and cross-functional business analysis. Specialized in Power BI architecture, Kimball star schema modeling, statistical experimentation, and regulatory reporting.

Profile Snapshot Open to Opportunities
Professional Background Lead Data Associate • Numerator (6.5+ Years)
Academic Qualification MSc in Data Science • Coventry University (2025)
Core Technical Stack
Power BI SQL DAX Star Schema Python (Pandas) A/B Testing
Target Roles Senior Data Analyst • BI Developer • Analytics Lead
Location & Availability London, United Kingdom • Immediate Start
6.5+ Years of enterprise FMCG and commercial data experience at Numerator
5 Production repositories spanning BI, causal inference, and risk analytics
100% Automated continuous integration test coverage on data pipelines
London Based in London, United Kingdom and available for immediate onboarding

Production Analytical Systems

Five production-grade analytics pipelines and interactive reporting architectures, demonstrating business domain rigor and technical execution.

Business Intelligence • Star Schema SQL

Workforce Planning & Labour Market Intelligence

Interactive reporting suite harmonizing internal organizational human capital data with official UK benchmarks (ONS ASHE salary figures and real-time Adzuna vacancy demand) to pinpoint salary compression, skill gaps, and retirement succession risk.

  • Architected dimensional star schema with fact and dimension tables optimized for high-performance Power BI DAX calculations.
  • Built 3-page interactive dashboard covering executive workforce demographics, market salary benchmarking, and skills mismatch scoring.
  • Engineered Python ingestion pipelines extracting and normalizing NOMIS regional wage indexes and Adzuna API feeds.
Power BI DAX SQL Star Schema Python ONS Data
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Workforce Planning Dashboard Preview
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Statistical Testing • Causal Inference

Pricing A/B Test & Causal Inference Pipeline

Causal inference evaluation measuring the true average treatment effect (ATE) of promotional pricing tiers. Applies propensity score matching and Doubly Robust estimators to adjust for seasonal and customer cohort confounders.

  • Constructed Love plot diagnostics proving standardized mean difference reduction below 0.1 across all demographic covariates.
  • Evaluated multi-step conversion funnel drop-offs between treatment and control customer segments.
  • Automated GitHub Actions CI/CD workflow executing statistical validation suites on every code revision.
Python Causal Inference A/B Testing Propensity Score Statsmodels CI/CD
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Covariate Balance Love Plot Preview
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Risk Analytics • Model Governance

Credit Risk Scorecard Pipeline

Production-grade credit underwriting pipeline adhering to Basel II regulatory governance. Features Weight of Evidence (WoE) transformation, Information Value screening, and calibrated points scorecard scaling.

  • Achieved ROC-AUC 0.768 and Gini 0.536 on out-of-time test holdouts with validated calibration curves.
  • Benchmarked interpretable WoE Logistic Regression against high-capacity LightGBM gradient-boosted trees.
  • Engineered scorecard tables translating raw odds into transparent applicant points for credit risk audit committees.
Credit Risk Logistic Regression LightGBM Weight of Evidence Basel II Scikit-Learn
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Credit Risk ROC Curve
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Regulatory Analytics • Financial Conduct Authority

Consumer Duty Analytics Platform

Monitoring and governance reporting system engineered to satisfy UK Financial Conduct Authority (FCA) Consumer Duty requirements. Tracks customer vulnerability flags, fee fairness ratios, and product outcome disparities.

  • Developed multi-dimensional vulnerability matrices categorizing customer risk triggers into clear compliance tiers.
  • Implemented fair value margin diagnostics flagging products with disproportionate charging structures.
  • Produced structured compliance audit reports supporting quarterly executive certification.
FCA Regulation Consumer Duty Power BI SQL Risk Assessment Compliance
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Consumer Duty Dashboard Preview
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Time Series Analytics • Energy Market Intelligence

UK Electricity Price Forecasting

Multi-horizon econometric and machine learning pipeline analyzing day-ahead wholesale electricity price volatility across Great Britain's National Grid. Synthesizes renewable wind generation, gas commodity futures, and market driver sensitivities.

  • Evaluated time-series baselines (ARIMA, XGBoost, and PyTorch temporal networks) against mean absolute error benchmarks.
  • Conducted feature attribution analysis isolating wind generation suppression and evening demand peaks.
  • Generated detailed visual tracking of forecast versus actual price movements across the 2021–2022 European energy crisis.
Python Time Series XGBoost PyTorch Energy Markets Econometrics
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Energy Market Trajectory Preview
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Technical Skill Matrix

Core analytical tools and technical competencies applied across commercial enterprise analytics and production reporting.

BI

Business Intelligence & Reporting

Power BI Desktop & Service DAX Measures & Calculations Power Query & M Language Executive Dashboard Architecture Advanced Excel & Financial Modeling KPI Formulation & Variance Tracking Data Storytelling for Leadership
SQL

SQL & Data Modeling

SQL (PostgreSQL / SQL Server / Snowflake) Kimball Star Schema Design Complex Joins & Window Functions Common Table Expressions (CTEs) Data Reconciliation & Cleansing ETL / ELT Ingestion Pipelines Dimensional Fact & Dim Tables
PY

Statistical Analysis & Python

Pandas & NumPy Data Wrangling A/B Testing & Causal Inference Hypothesis Testing (SciPy & Statsmodels) Credit Risk Scorecards (Basel II / WoE) Predictive Scoring (Scikit-Learn / LightGBM) Exploratory Data Analysis (EDA) Matplotlib & Seaborn Visualizations
OPS

Data Governance & Tooling

Git & GitHub Version Control GitHub Actions CI/CD Automation Automated Unit Testing (pytest) FCA Consumer Duty Compliance Cross-Functional Stakeholder Alignment Analyst Mentorship & QA Protocols Commercial FMCG Market Analytics

Professional Experience

Proven commercial data analytics leadership and operational reporting track record.

Lead Data Associate

6.5+ Years of Service
Numerator • Market Intelligence & Consumer Commerce
  • Directed operational data validation across high-volume FMCG and omnichannel consumer transactional datasets, ensuring metric accuracy for Fortune 500 enterprise clients.
  • Designed and implemented automated quality assurance checks and reconciliation workflows, significantly reducing anomaly detection cycles across operational pipelines.
  • Partnered with commercial strategy, product management, and engineering teams to transform complex transactional streams into structured dashboard metrics.
  • Trained and mentored junior analysts on data cleansing protocols, quality verification standards, and operational best practices.

Education & Qualifications

Formal postgraduate and undergraduate training in quantitative methods and computer systems.

Master of Science in Data Science

2025
Coventry University • Coventry, United Kingdom
  • Core Modules: Programming for Data Science, Data Analytics, Machine Learning & Big Data, The Data Science Professional (Data Ethics, GDPR & Governance).
  • Individual Research Project: Major quantitative dissertation analyzing econometric time series forecasting, feature attribution, and market volatility.

Bachelor of Engineering in Electrical Engineering

2017
Gujarat Technological University • Ahmedabad, India
  • Quantitative engineering grounding in applied mathematics, numerical computing, systems analysis, and analytical problem-solving.
Available for Senior Analytics Roles

Let's Discuss Opportunities

Based in London, United Kingdom. Actively open to Data Analyst, Senior Data Analyst, and Business Intelligence Specialist positions across financial services, commercial, and technology sectors.