Alexandra M.

• ETL (extract, transform, load) and building data landscape:

Writing scripts to pull raw data from multiple sources, cleaning and transforming raw data into well structured datasets and saving new data sets using AWS Data Pipelines, SQL, python, pySpark and GBQ.

• Data Analysis, Reports and Dashboards:

Providing guidance in data-driven decision making and product development by building and presenting data analyses, reports or dashboards to stakeholders from product, marketing, sales or general management. This is achieved through close collaboration with stakeholders and by using SQL, Excel, python, PowerPoint, Google Analytics, Salesforce and BI-Tools like MicroStrategy, Tableau and PowerBi.

• Data Products:

Writing scripts that deliver end-to-end data products. This includes training and implementation of machine learning models, automatic email communications based on consumer behaviour and data-driven detection of customer new acquisition, product upsell or customer churn using AWS Data Pipelines, SQL, python, pySpark and Salesforce.

Product Data Analyst in the B2B-customer business. Acting as a central reference and information source covering tasks across the data analytics life cycle including ETL, data wrangling and cleansing, reporting and dashboarding.

• Creating dashboards to track our business KPI's and product performance in close collaboration with stakeholders.

• Consulting product leads on defining optimal product bundeling for new memberships through analyzing customers product usage. New product generates yearly 2.4 Million Euros.

• Actively shaping product discovery by analyzing target groups and customer behavior and presenting results in discovery.

• Analysis and presentation of market share of Scout24 against competitors with implications on product & sales strategy.

• Building and owning customer-fraud detection algorithm which generates 1.5 Million Euros of yearly revenue.

• Providing data for regular customer-facing value communications email to 1.800 strategically important customers.

• Successful training and implementation of a neural network and a daily inference job with AWS-Sagemaker. The results get pushed into a sales campaign to acquire new customers.

• Leading an analytics onboarding process which involves 15 data analysts covering a wide variety of topics and hosting a series of meeting of 20hr speaking material.

• Host and organizer of weekly knowledge sharing session data org.

- Leading project about analyzing eDM attrition in order to improve target audiences and open rate using python and GoogleBigQuery.

- Creating dashboards about consumer behaviour and top searched regions in tableau

- Enhancing listing data by applying NLP techniques to listing descriptions in order to improve consumer profiling in python.

- Supporting to predict consumer journey stages with random forest models in python.