Majduddin Mohammed | Senior Data Analyst Portfolio
Senior Data Analyst · London, UK

Evidence into
advantage.

Senior Data Analyst with 7+ years of experience turning complex customer, marketing and operational data into trusted decisions. I combine advanced SQL, Python, business intelligence and commercial judgement to lead analysis from an ambiguous question through to measurable action.

From data to business impact● DECISION-READY
35+Dashboards delivered
30+Client projects
7+Industries supported
7+years in analytics and digital performance
30+client and analytical projects delivered
35+dashboards and reporting solutions
LSE logoDistinctionLSE Data Analytics Career Accelerator
Senior analytical leadership

Transforming complex data into confident decisions.

I am a Senior Data Analyst with 7+ years of experience delivering business intelligence, customer analytics, digital measurement and reporting automation across more than 30 client projects and seven industries. I work beyond the production of reports: I clarify the decision, challenge definitions, assess data quality and build analysis that leaders can trust.

My approach combines deep technical delivery with commercial context. I use SQL and Python to investigate performance, design governed KPI frameworks, develop stakeholder-ready data products and explain what changed, why it matters and what the organisation should do next. My experience covers diagnostic, predictive and prescriptive analytics, customer behaviour, marketing effectiveness, conversion, retention and operational performance.

✓Advanced SQL, Python and statistics
✓Tableau, Power BI, Qlik and Looker/Data Studio
✓Snowflake, Snowsight, BigQuery and GCP
✓Executive insight and stakeholder influence
Senior analyst capability

From analytical question to measurable outcome.

A senior-level combination of rigorous analysis, modern BI, scalable data foundations and commercial judgement, focused on helping UK organisations make confident decisions.

7+ years30+ projects35+ dashboards
Majduddin Mohammed, Senior Data Analyst
Majduddin MohammedSenior Data AnalystLinkedIn logolinkedin.com/in/majdmubashir
Python analytics ecosystem

Analyse, model and automate

PythonpandasNumPyscikit-learnstatsmodelsMatplotlibSeabornRegressionClassificationClusteringForecastingNLP
Business intelligence

Build trusted decision products

TableauPower BIQlikLooker/Data StudioAlteryxExcelDashboardsScorecardsDAXTableau PrepData storytellingSelf-service BI
Modern data stack

Prepare, govern and scale

SQLSnowflakeSnowsightBigQueryPostgreSQLGoogle CloudAPIsETL / ELTData modellingQuality checksGitAutomation
Marketing and customer analytics

Measure growth and value

Retention rateChurn rateCACCustomer LTVConversion rateROAS / ROICohort analysisFunnel analysisSegmentationAttributionIncrementalityMMM

Select a capability above to explore the complete toolkit.

Python analytics, statistics and machine learning

Python is the analytical foundation, with pandas and NumPy used together for data preparation and numerical analysis. Statistical and machine-learning workflows use scikit-learn and statsmodels, supported by clear validation and reproducible assumptions.

Python ecosystem: pandas & NumPyAdvanced
Statistical modelling & experimentationStrong
Machine learning: regression, classification & clusteringStrong
Forecasting, NLP & diagnostic analysisStrong

Trusted, decision-ready business intelligence

Executive dashboards, scorecards and self-service reporting products designed around governed KPI definitions, intuitive drill-down journeys and the decisions each audience needs to make.

Tableau, Qlik & data storytellingAdvanced
Power BI, DAX & AlteryxAdvanced
Looker/Data Studio & ExcelAdvanced
Dashboard governance & self-service BIAdvanced

Scalable and governed data foundations

Data preparation, modelling, validation and automation across cloud warehouses and API-connected workflows, with attention to lineage, reusable SQL and dependable metric definitions.

Advanced SQL & dimensional modellingAdvanced
BigQuery & Google CloudAdvanced
Snowflake & SnowsightStrong
APIs, ETL/ELT pipelines & automationAdvanced

Marketing and customer analytics that drive action

Commercial analysis connects customer behaviour and marketing investment to growth, profitability and retention. Findings are communicated with clear implications, limitations and prioritised action.

Retention, churn & cohort analysisAdvanced
CAC, customer LTV & conversion rateAdvanced
ROAS, ROI, attribution & incrementalityStrong
Funnels, segmentation & marketing mix analysisAdvanced
Selected analytical work

Evidence of end-to-end delivery.

Examples of how I structure ambiguous questions, engineer reliable analysis and communicate the result as a practical business decision.

LSE employer projectQSR analytics

Franchise Health & Competitive Risk

Led the design of a multi-factor digital health framework that converted customer sentiment, service, wait time, value and recency signals into prioritised franchise action.

SnowflakeSQLPythonTableauNLP
  • Developed governed internal-performance and external competitor-risk views.
  • Enabled state, city and outlet-level investigation through a structured drill-down journey.
  • Combined multiple behavioural signals into an interpretable health index for senior decision-makers.
Customer analytics2Market

Customer & Campaign Performance

Combined customer and advertising data to segment audiences and uncover spend, engagement and response patterns.

SQLTableauSegmentation
  • Created calculated measures for income, engagement and product preference.
  • Joined marketing and customer data into an analytical view.
  • Presented findings through a concise executive dashboard and report.
Diagnostic analysisNHS data

Appointment Demand & Missed Visits

Analysed national appointment datasets to understand service demand, regional variation, seasonality and missed appointments.

PythonpandasMatplotlibSeaborn
  • Cleaned and reconciled multiple public datasets.
  • Examined monthly trends by service setting and appointment context.
  • Produced an evidence-led technical report and presentation.
AutomationCommercial reporting

Multi-source Analytics Pipeline

Automated the collection and preparation of digital performance data from multiple APIs for repeatable reporting.

PythonAPIsBigQueryGCP
  • Standardised inputs from different platforms and reporting formats.
  • Reduced recurring manual reporting effort by up to 50%.
  • Improved consistency and stakeholder access to performance metrics.
My delivery approach

Senior analysis starts with the decision.

I take ownership from discovery to adoption: defining the question, aligning metrics, testing data quality, selecting the right method and making the recommendation clear enough to act on.

01 · FrameDecision, audience, value and success measure
02 · GovernDefinitions, quality, lineage and analytical grain
03 · AnalyseDrivers, uncertainty, scenarios and opportunity
04 · InfluenceNarrative, visual evidence, caveats and recommendation
05 · MeasureAdoption, outcome and continuous improvement

A repeatable route from a complex question to an accountable outcome.

Career profile

Experience built around trusted delivery.

7+ years combining hands-on analysis, BI development, automation and stakeholder partnership across complex, multi-industry environments.

Senior Data Analyst

Webwooh · London, UK

  • Lead analytical delivery across 30+ client projects and seven industries, using hypothesis testing, regression, clustering and diagnostic analysis to uncover performance drivers and support strategic decisions.
  • Developed and maintained 35+ interactive dashboards and reporting products using Tableau, Power BI, Qlik, Looker/Data Studio and Python, enabling consistent, data-driven decision-making across teams.
  • Applied Python, SQL, Power Query and Excel to clean, transform and model complex data, automate recurring analysis and deliver predictive and prescriptive insights.
  • Collaborated with cross-functional stakeholders to define data requirements, establish success measures, design A/B tests and translate findings into prioritised commercial actions.
  • Analysed retention through cohort and survival analysis, identifying behavioural patterns, high-value segments and opportunities to strengthen customer loyalty.
  • Performed churn and propensity analysis using statistical and machine-learning techniques, including linear and logistic regression and XGBoost, to explain customer behaviour and identify customers at risk of attrition.
  • Optimised analytical data structures and reusable models across Azure, AWS and Google Cloud environments, improving query efficiency, reporting consistency and access to governed metrics.
  • Delivered quantitative marketing and e-commerce analysis covering customer lifetime value, acquisition cost, ROI, ROAS, conversion and campaign performance, using statistical and econometric methods.
  • Supported targeted retention and acquisition strategies through churn predictions, segmentation and experimentation frameworks, helping teams focus investment on valuable customer groups.

Co-Founder and Head of Analytics

Zawjaan · SaaS online dating platform · Hyderabad, India

  • Data analytics and reporting: Led measurement through Google Tag Manager, GA4 and Looker/Data Studio, building automated dashboards to monitor conversions, revenue, acquisition and campaign performance.
  • Testing and optimisation: Designed A/B and multivariate testing frameworks, using behavioural evidence to improve user journeys, engagement and conversion outcomes.
  • Performance marketing: Managed the analytical lifecycle of paid campaigns, from measurement strategy and audience design to performance evaluation and budget recommendations.
  • Stakeholder leadership: Promoted a data-led culture by identifying trends, communicating commercial implications and providing clear recommendations to guide product and growth decisions.

Education & professional development

LSE logo Data Analytics Career Accelerator · DistinctionLondon School of Economics and Political Science · 2025–2026

Advanced SQL, Python, Tableau, statistical modelling and an employer-led QSR analytics project delivered through Snowflake, NLP and interactive business intelligence.

Data Analyst Career TrackDataCamp · 2023

Applied Python, SQL, statistical analysis and data visualisation.

MSc Telecommunication Systems (Electrical Engineering) · Grade ABlekinge Institute of Technology, Sweden · 2009–2011

Research included performance evaluation of delay and load parameters in mobile ad-hoc network protocols.

B.Tech Electronics & Communication Engineering · Grade AJawaharlal Nehru Technological University · 2004–2008

Engineering, communications systems, quantitative analysis and microcontroller applications.

Academic & engineering projects

Delay and Load Analysis of AODV & TORAPerformance evaluation · 2011
AODV & TORA Across Network SizesTCP and UDP comparison · 2010
Instant Mobile Ticket Booking ServiceMobile systems project · 2009
Petrochemical Level & Temperature MonitorMicrocontroller project · 2008
2026Analytics Guru Award
Issued by Webwooh
2023Best Performing Employee Award
Issued by Webwooh
2020Friendly Colleague Award
Issued by Digital Agency
“MJ was a very diligent and professional member of the team. He was consistently hardworking and always approached tasks with a focused and committed attitude.”

Sean O’Keeffe · Group Creative & Technical Director / Co-Founder · Former direct manager

Senior analytics opportunities

Need an analyst who can earn trust and move decisions forward?

I am open to Senior Data Analyst, Business Intelligence Analyst and Analytics Consultant opportunities across the UK. I have full, unrestricted right to work in the UK.

Discuss your analytics challenge ↗