Eliza @dataanaliza
Senior Data Analyst
Senior data analyst specializing in Power BI dashboards, SQL analytics, Python data analysis, and advanced data visualization.
I help organizations make data-driven decisions through compelling visual storytelling.
About Me
Passionate about uncovering insights hidden in data and creating visualizations that drive business decisions.
Background
With a strong foundation in business analytics and finance, I transform complex datasets into clear, actionable insights. My expertise spans Power BI development, SQL analytics, Python programming, and advanced optimization techniques.
I've partnered with global multinational corporations, Norwegian public sector organizations, and companies across maritime, manufacturing, energy, and healthcare industries—helping them optimize operations, forecast trends, and drive data-informed strategies.
Approach
I believe data storytelling transforms numbers into narratives that inspire action. My approach blends technical precision with business strategy to deliver solutions that create measurable impact.
From architecting robust data pipelines to crafting intuitive visualizations, I make complex information accessible and meaningful for decision-makers at every level—turning insights into competitive advantages.
Professional Experience
Certifications
Education
Industry Experience
Maritime & Logistics
- • Maritime Operations
- • Port Operations
- • Procurement
- • Vessel Tracking
- • Scheduling
- • Predictive Maintenance
Manufacturing & Energy
- • Cement
- • Alumina
- • Food
- • Energy
- • Fertilizers
Public Sector & Operations
- • Public Health
- • Marketing Operations
- • Staffing Optimization
- • Food/Non-food Inventory
- • Customer Feedback
- • Sentiment Analysis
Portfolio
Explore my data analysis projects featuring interactive Power BI dashboards and actionable insights.
Weekly Automation Performance Report
This dashboard provides a comprehensive view of automation's efficiency and impact over time, tracking key metrics like the current automation rate, year-over-year comparison, and total orders processed. The report helps operations teams assess the success of automation initiatives, identify weekly performance variations, and track progress toward annual goals.
Problem Addressed
Operations management required a centralized, weekly view of automation performance to monitor its effectiveness, compare current results against the previous year, and ensure the systems were meeting processing and efficiency targets.
Data Sources
SAP S/4HANA (MM, SD modules), SAP Process Automation, SQL Server, Historical performance databases
Tools Used
Digital Staffing Store Report
The report offers an in-depth analysis of a store's daily, weekly, and hourly performance metrics, including revenue, gross sales, customer traffic, and average transaction value. It breaks down customer and revenue distribution by day and hour, and highlights the top-performing products, differentiating between served and unserved demand, which is crucial for optimizing staffing levels and inventory.
Problem Addressed
Store managers needed granular insights into sales and customer traffic patterns, coupled with product performance data (including unmet demand), to effectively align staffing and inventory with peak times and high-demand products.
Data Sources
SAP S/4HANA Retail, Point-of-Sale (POS) system, Customer foot traffic sensors, SAP UDF (User-Defined Fields)
Tools Used
Digital Flows Overview
This project provides an executive overview of digital marketing and user acquisition performance. It tracks high-level metrics like total app users, website visitors, email and SMS delivery volumes, and the average conversion rate. The trend charts allow marketing teams to monitor growth in unique users and conversion rates over several months and analyze the performance of various digital campaigns.
Problem Addressed
Marketing leadership required a holistic, centralized dashboard to monitor the efficiency and reach of all digital channels, understand user growth trends, and evaluate the contribution of specific marketing campaigns to the overall conversion rate.
Data Sources
SAP Marketing Cloud, SAP Customer Data Platform, Website analytics (Google Analytics), Mobile App usage logs, Email/SMS marketing platforms
Tools Used
Inventory Quality Dashboard
The dashboard focuses on measuring and monitoring inventory accuracy and deviation for specific product categories (e.g., Dairy, Premium Items) across stores. Key metrics track positive and negative deviations from expected counts, providing a clear picture of inventory quality and reliability. It also includes an inventory accuracy trend and a view of top-performing products by revenue.
Problem Addressed
Supply chain and inventory teams needed a detailed view of inventory count reliability to minimize stock-outs and overstocking. The goal was to quickly identify the magnitude and trend of positive and negative deviations to improve inventory auditing and management processes.
Data Sources
SAP EWM (Extended Warehouse Management), SAP FNR (Financial Reporting), Cycle count data, Sales and Revenue data
Tools Used
Real-Time Vessel Tracking and Operations Monitoring
In port operations, real-time visibility of vessel locations, berthing schedules, and cargo handling is essential. This Power BI solution integrates multiple data sources—such as vessel tracking systems, terminal management software, and weather reports—into a unified dashboard. Real-time monitoring enables operators to optimize berth assignments, reduce idle times, and ensure smooth cargo loading and unloading.
Problem Addressed
Port operators needed unified visibility across vessel tracking, terminal management, and weather data to optimize operations and reduce vessel idle time.
Data Sources
Vessel tracking systems, Terminal management software, Weather APIs, SQL Server
Tools Used
Equipment Utilization and Predictive Maintenance
Ports rely heavily on equipment such as cranes, container handlers, and transport vehicles to manage operations efficiently. Monitoring the utilization and maintenance of this equipment can prevent costly breakdowns and minimize downtime. This Power BI dashboard visualizes equipment performance, schedules maintenance based on real-time usage data, and forecasts future equipment needs using predictive analytics.
Problem Addressed
Equipment breakdowns were causing costly downtime and operational delays. The port needed predictive insights to schedule maintenance proactively.
Data Sources
Equipment sensors, Maintenance logs, SQL Database, IoT data streams
Tools Used
Warehouse Receiving Activity Dashboard
The landing page aimed to provide a quick health check for how the warehouses accepted deliveries. There were 2 storage methods in those warehouses: rack and bulk. We analysed how many of those locations were still open vs occupied (fulfilled). The client also received products packed into pallets every day. We analysed how many of those pallets were put away to storage locations vs not put away. The goal was to identify the pallets that are still not put away to the storage locations and prioritise them. Finally, we also analysed the number of items per forklift. The warehouse managers could identify which forklift still had items on them, click the 'view items' button to view the specific items on them and ask their team to put those items away.
Problem Addressed
Warehouse managers lacked visibility into receiving operations, storage location occupancy, and forklift utilization, leading to inefficient put-away processes.
Data Sources
Warehouse Management System (WMS), SQL Database, Excel imports
Tools Used
Customer Feedback Dashboard
A comprehensive customer feedback analysis dashboard that tracks guest satisfaction across multiple touchpoints. The dashboard provides insights into overall ratings, NPS scores, purpose of visit, gender distribution, and feedback trends over time. This enables hospitality managers to identify areas for improvement and track the impact of service enhancements.
Problem Addressed
Hotel management needed to consolidate feedback from multiple sources and identify actionable insights to improve guest satisfaction scores.
Data Sources
Customer feedback systems, Booking platforms, Survey data, SQL Database
Tools Used
Let's Collaborate
I prefer discretion when it comes to sharing personal information.
Use the form below to get in touch, and I'll be happy to share my CV, LinkedIn, or any documentation you need.