Operations → Data Analytics

Marcus Reed

Operations Professional Transitioning into Data Analytics

I’m combining years of operational experience with growing capability in data analytics — using SQL, Power BI and business insight to understand performance, uncover patterns and support better decisions.

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Melbourne, Australiamarcus.reed@example.com

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Career Transition

Operations experience. A new analytical direction.

I’m a Melbourne-based operations professional transitioning into data analytics after several years working with performance targets, staffing, inventory, customer service and day-to-day business decision-making.

Working in operations showed me how much value sits inside everyday business data. I regularly used reports and KPIs to understand performance, identify problems and allocate resources, which led me to develop deeper skills in SQL, Power BI and analytical methods.

I’m now building a portfolio of practical analytics projects that combines those technical skills with the operational context I already understand — translating data into findings that are useful to decision-makers.

Based inMelbourne, Australia

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Analytics Portfolio

Turning operational questions into data-driven analysis.

Business Intelligence2026

Retail Performance Dashboard

An interactive retail dashboard analysing sales, margin and store performance across a fictional multi-location business to identify trends and performance differences.

Cleaned and structured transactional data before analysis.
Created measures for revenue, gross margin, average transaction value and period-over-period performance.
Built store and product-category comparisons using interactive filters.
Designed trend views to highlight changes across months and regions.
Summarised business findings alongside the dashboard rather than presenting charts in isolation.

OutcomeProduced an executive-style dashboard that converts transactional data into clear retail-performance indicators and comparison views.

Power BIPower QueryDAXExcelData CleaningData Visualisation

Operational Analytics2026

Workforce Planning Analysis

An analysis exploring the relationship between staffing levels, customer demand and labour utilisation across different days and trading periods.

Combined fictional demand, staffing and labour-cost datasets for analysis.
Used SQL to aggregate staffing and demand by location, day and hour.
Compared labour allocation with periods of higher and lower customer activity.
Identified potential overstaffing and coverage gaps within the sample schedule.
Presented findings through Power BI visuals and operational recommendations.

OutcomeDemonstrated how operational data can support more informed workforce scheduling and labour-allocation decisions.

SQLPower BIExcelData ModellingWorkforce Analytics

Inventory Analytics2025

Inventory Optimisation Analysis

A fictional inventory analysis examining stock movement, turnover and availability to identify slow-moving products and potential stockout risk.

Analysed inventory balances alongside product sales and replenishment data.
Calculated inventory turnover and identified products with unusually low movement.
Used SQL queries to classify stock according to sales activity and availability risk.
Created Power BI views covering stock levels, turnover and product categories.
Developed example recommendations for prioritising inventory review.

OutcomeBuilt an analytics workflow that demonstrates how stock data can support replenishment and inventory-management decisions.

SQLPower BIPower QueryExcelInventory Analysis

Customer Analytics2025

Customer Behaviour Analysis

An exploratory analysis of fictional retail transaction data focused on purchase frequency, customer value and behavioural differences between customer groups.

Prepared customer and transaction data for repeat-purchase analysis.
Used SQL to calculate transaction frequency, customer spend and recency measures.
Grouped customers into simple behavioural segments for comparison.
Built visualisations covering repeat purchasing, average spend and category preference.
Translated analytical outputs into concise observations about customer behaviour.

OutcomeCreated a practical customer-analysis project demonstrating the progression from raw transactional data to business-focused insights.

SQLPower BIExcelCustomer SegmentationData Visualisation

Professional Experience

The business context behind the data.

Urban Retail Group2022 — PresentMelbourne, Australia

Operations Manager

Manage daily operations, team performance, inventory and service delivery within a high-volume retail environment.

Review sales, labour, service and inventory KPIs to understand operational performance.Manage workforce scheduling and adjust staffing based on trading patterns and operational requirements.Investigate performance gaps and implement process improvements across store operations.Coordinate stock availability, replenishment and inventory-control activities.Prepare performance updates and communicate operational priorities to team members and management.

Metro Home & Living2019 — 2022Melbourne, Australia

Assistant Operations Manager

Supported retail operations, workforce management, stock control and reporting across a busy customer-facing environment.

Monitored daily and weekly sales performance against operational targets.Supported staff scheduling, labour planning and workload allocation.Tracked inventory discrepancies and assisted with cycle counts and stock investigations.Maintained operational spreadsheets and recurring management reports.Worked with management to identify opportunities to improve workflow and service delivery.

Central Market Co.2017 — 2019Melbourne, Australia

Team Leader

Led frontline operations while developing practical experience in team coordination, performance tracking and inventory management.

Coordinated daily task allocation across customer-service and stock teams.Tracked shift performance and supported achievement of operational targets.Completed stock checks, discrepancy investigations and routine reporting.Resolved customer and operational issues during high-volume trading periods.

Capabilities

Analytics skills grounded in operational experience.

Data Analytics

SQLPower BIPower QueryDAXExcelData CleaningData Visualisation

Business & Operations

KPI AnalysisOperational ReportingInventory ManagementWorkforce PlanningProcess ImprovementPerformance MonitoringRoot Cause Analysis

Professional

Stakeholder CommunicationTeam LeadershipProblem SolvingBusiness InterpretationPresentationPrioritisationContinuous Improvement

Analytics Development

Building the technical foundation for the transition.

Google Data Analytics Professional Certificate

Google · 2025

Microsoft Power BI Data Analyst — Learning Path

Microsoft · 2026

SQL for Data Analysis

Professional Development Programme · 2025

Education

A foundation in business and management.

2017

Bachelor of Business — Management

RMIT University · Melbourne, Australia

Studied business management, operations, organisational behaviour and business decision-making.

Transition

Connecting previous experience with a new career direction.

Career transition into analytics

Developed a structured analytics portfolio while continuing full-time operations work, demonstrating practical capability in SQL, Power BI and business-focused analysis.

Transferable operational experience

Built extensive experience working directly with staffing, inventory, performance targets and operational reporting — providing practical business context for analytical work.

Profile

Business experience backed by developing technical capability.

018+

Years in operations

024

Analytics portfolio projects

0315+

Team members managed

04SQL + Power BI

Current analytics focus

Opportunities

Ready to bring operational insight into analytics.

Start a conversationmarcus.reed@example.com

Based inMelbourne, Australia

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