A professionally written resume tailored for a
Data Analyst – use it as inspiration or as a template.
## Summary
Motivated and detail-oriented data professional with 2 years of experience in operational reporting and data quality management within logistics and retail environments. Proven ability to transform raw operational data into actionable insights, build KPI dashboards, and support cross-functional teams in process improvement. Currently seeking to formalise and expand analytical expertise through the Data Analyst Operations Insights Apprenticeship.
## Work Experience
**Operations Data Analyst** | Swift Logistics Ltd, Manchester | Jun 2023 - Present
- Develop and maintain daily operational performance reports for warehouse and transport teams, tracking on-time delivery, pick accuracy, and vehicle utilisation using Advanced Excel (PivotTables, Power Query) and Power BI dashboards.
- Built and automated a KPI dashboard in Power BI that reduced manual reporting time by 40 percent, enabling management to monitor performance in real time.
- Conduct root-cause analysis on delivery delays and inventory discrepancies, presenting findings and recommended process changes to the Operations Manager; implemented two workflow changes that reduced average dispatch time by 12 percent.
- Perform data quality validation on inbound shipment records, cleaning and deduplicating over 10,000 rows monthly, and liaising with warehouse staff to correct source data errors.
- Ensure all data handling complies with GDPR regulations, including access controls and anonymisation for internal reporting.
**Data & Reporting Assistant** | Greenfield Retail Group, Leeds | Sep 2022 - May 2023
- Supported the finance and operations teams by extracting and analysing sales and stock data from CRM (Salesforce) and internal databases using SQL (SELECT, JOINs, GROUP BY).
- Created weekly sales performance reports in Excel, using VLOOKUP and conditional formatting to highlight underperforming product lines for the buying team.
- Assisted in a data migration project from legacy systems to a new ERP, performing data quality checks, identifying duplicate records, and validating over 5,000 customer and product entries.
- Collaborated with the warehouse team to reconcile stock counts, using basic statistical analysis to identify variance patterns and recommend inventory control improvements.
## Key Skills
- Operational data analysis and reporting
- KPI development and performance monitoring
- Data quality improvement and validation
- Stakeholder communication and presentation
- GDPR-compliant data handling
- Process improvement and workflow streamlining
- Root-cause analysis for operational inefficiencies
- Advanced Excel (PivotTables, VLOOKUP, Power Query, conditional formatting)
- SQL (SELECT, JOINs, GROUP BY, filtering)
- Power BI (dashboard creation)
- Tableau (basic dashboards)
- CRM systems (Salesforce)
- Data cleaning and validation techniques
- Data migration and quality checking
- Basic statistical analysis
- Analytical and problem-solving mindset
- Clear written and verbal communication
- Time management and prioritisation
- Collaboration across teams (warehouse, finance, operations)
- Attention to detail
- Adaptability in fast-paced environments
- Proactive learning and development orientation
## Education
**BSc (Hons) Business Management with Data Analytics** | University of Salford | 2022
- Final-year project: Analysing operational efficiency in retail supply chains using SQL and Power BI.
**A-Levels: Mathematics (B), Business Studies (B), ICT (C)** | Leeds City College | 2019
## Career Goal
To secure the Data Analyst Operations Insights Apprenticeship to deepen my technical expertise in advanced analytics and statistical modelling, while applying my practical experience to drive measurable operational improvements within a forward-thinking organisation.
Summary
Motivated and detail-oriented data professional with 2 years of experience in operational reporting and data quality management within logistics and retail environments. Proven ability to transform raw operational data into actionable insights, build KPI dashboards, and support cross-functional teams in process improvement. Currently seeking to formalise and expand analytical expertise through the Data Analyst Operations Insights Apprenticeship.
Work Experience
Operations Data Analyst | Swift Logistics Ltd, Manchester | Jun 2023 - Present
Develop and maintain daily operational performance reports for warehouse and transport teams, tracking on-time delivery, pick accuracy, and vehicle utilisation using Advanced Excel (PivotTables, Power Query) and Power BI dashboards.
Built and automated a KPI dashboard in Power BI that reduced manual reporting time by 40 percent, enabling management to monitor performance in real time.
Conduct root-cause analysis on delivery delays and inventory discrepancies, presenting findings and recommended process changes to the Operations Manager; implemented two workflow changes that reduced average dispatch time by 12 percent.
Perform data quality validation on inbound shipment records, cleaning and deduplicating over 10,000 rows monthly, and liaising with warehouse staff to correct source data errors.
Ensure all data handling complies with GDPR regulations, including access controls and anonymisation for internal reporting.
Data & Reporting Assistant | Greenfield Retail Group, Leeds | Sep 2022 - May 2023
Supported the finance and operations teams by extracting and analysing sales and stock data from CRM (Salesforce) and internal databases using SQL (SELECT, JOINs, GROUP BY).
Created weekly sales performance reports in Excel, using VLOOKUP and conditional formatting to highlight underperforming product lines for the buying team.
Assisted in a data migration project from legacy systems to a new ERP, performing data quality checks, identifying duplicate records, and validating over 5,000 customer and product entries.
Collaborated with the warehouse team to reconcile stock counts, using basic statistical analysis to identify variance patterns and recommend inventory control improvements.
Key Skills
Operational data analysis and reporting
KPI development and performance monitoring
Data quality improvement and validation
Stakeholder communication and presentation
GDPR-compliant data handling
Process improvement and workflow streamlining
Root-cause analysis for operational inefficiencies
Advanced Excel (PivotTables, VLOOKUP, Power Query, conditional formatting)
SQL (SELECT, JOINs, GROUP BY, filtering)
Power BI (dashboard creation)
Tableau (basic dashboards)
CRM systems (Salesforce)
Data cleaning and validation techniques
Data migration and quality checking
Basic statistical analysis
Analytical and problem-solving mindset
Clear written and verbal communication
Time management and prioritisation
Collaboration across teams (warehouse, finance, operations)
Attention to detail
Adaptability in fast-paced environments
Proactive learning and development orientation
Education
BSc (Hons) Business Management with Data Analytics | University of Salford | 2022
Final-year project: Analysing operational efficiency in retail supply chains using SQL and Power BI.
A-Levels: Mathematics (B), Business Studies (B), ICT (C) | Leeds City College | 2019
Career Goal
To secure the Data Analyst Operations Insights Apprenticeship to deepen my technical expertise in advanced analytics and statistical modelling, while applying my practical experience to drive measurable operational improvements within a forward-thinking organisation.
