Senior Data Analyst | BI Developer
- Verfügbarkeit einsehen
- 0 Referenzen
- 80€/Stunde
- SLM2023 Sliema
- auf Anfrage
- de | en | ja
- 26.04.2024
Kurzvorstellung
SQL, Python, Data Warehousing, Machine Learning, BI Tools (Looker, Tableau, Power BI , etc.), Product und Marketing Analytics.
Qualifikationen
Projekt‐ & Berufserfahrung
9/2023 – 4/2024
Tätigkeitsbeschreibung
Google Looker Consultant and BI Developer
- Migrating SAP BusinessObjects environment consisting of thousands of reports to Google Looker
- Designing and developing LookML models, derived tables, etc.
- Consulting on the initial set-up of Looker, incl. version control, repo organization, Dev/Prod/UAT instances, user attributes, model access, etc.
- Developing MVP and first use case dashboards to show wider audience of PMs, executives, business analysts etc.
- Authoring documentation on LookML models, dashboards, style guides and more
- Mentoring and coaching internal team on Google Looker
Business Intelligence (BI), Datawarehouse / DWH, Datenanalyse, Google Cloud, Python, SAP BusinessObjects (BO), SQL
12/2022 – 6/2023
Tätigkeitsbeschreibung
- Training von Prognosemodellen (XGBoost, Log. Regression) zur Vorhersage von Marktbewegungen in Crypto.
- Erstellung einer Worker-App, um kontinuierlich neue Daten von Drittanbieter-APIs abzurufen und Prognosemodelle auf einem Live-Tradingbot auszuführen.
- Entwicklung von Algorithmen und Tradingstrategien für den Handel mit Kryptowährungen auf der Grundlage von prognostizierten Signalen, Alpha-Faktoren und anderen Marktindikatoren.
- Einsatz von Back-, Forward- und Live-Tests zur Bewertung von Strategien und zur Verringerung des Risikos von Overfitting.
- Erstellung von Visualisierungen in Tableau und Python Notebooks, um die Leistung von Strategien und Algorithmen zu verfolgen.
Data Science, Datenanalyse, Tableau, Maschinelles Lernen, Scikit-learn, Python
1/2022 – 7/2022
Tätigkeitsbeschreibung
• Tech Stack: SQL, Python, Snowflake, Looker, Metabase, Segment, Firebase, JIRA, Slack, Notion
• Joined an interdisciplinary team of product, business, marketing, and data stakeholders within this large scale-up company to build out the BI and data analysis capabilities for a new product line.
• Collaborated with data engineers to create 4-5 data models in Snowflake DWH for a new product-line
• Created new explores and views with LookML for use by data analysts
• Built product, marketing and operations KPI dashboards in Looker and Metabase
• Generated new tracking logic and collaborated with engineers to implement new tracking events for mobile, web and backend.
• Documented data models, tracking, queries, and dashboards in Notion and trained new in-house hire on it for full and smooth handover of duties to company.
Big Data, Business Intelligence (BI), Data Science, Datawarehouse / DWH, Datenanalyse, Jira, Lean Startup, Maschinelles Lernen, Predictive analytics, Python, snowflake, SQL
6/2021 – 10/2021
TätigkeitsbeschreibungConsulted this SaaS firm on their product analytics implementation. Researched and suggested optimal tools for analytics purposes [Amplitude], set up the tracking, visualized product data with dashboards & charts for the C-Suite, wrote technical documentation and advised on implementation, and trained product managers on the independent usage of the product analytics tool.
Eingesetzte QualifikationenBusiness Intelligence (BI), Datenanalyse, Predictive analytics, Reporting
5/2019 – 5/2021
Tätigkeitsbeschreibung
Queried large-scale data from our database and analytics stack to inform and guide decision making processes with data insights. E.g., established and monitored KPIs, visualized data via dashboards/charts, built models (see below), and presented regular & ad-hoc reports to stakeholders (primarily the product team).
Implemented and maintained the complete product analytics stack, including analytics (Amplitude/Mixpanel), communication (Braze) and marketing attribution (Branch) platforms, as well as our BI tool (Looker Studio, then Data Studio).
Developed time series and regression models, k-means clusters and A/B hypothesis tests with Python’s statistics and data science libraries. Identified drivers of retention, user personas and churn points to inform product strategies.
Engineered data pipelines and ETL processes with SQL and Python to merge data from the database, analytics tools (via APIs) and Excel/Sheets to then load cleaned data into data models or Looker Studio.
Focused on Conversion Rate Optimizations (CRO) with A/B testing. Achieved a hike in sign up rates by 20% and the doubling of user activation. Helped to incrementally improve feature flows (e.g., budget adoption went from 35% to 85% conversion) and segmented users to improve communication targeting and email open conversions by 25%.
Worked in remote and agile environment and used all the tools to enable this: Slack, Jira, Trello, Zoom, Google Cloud suite, Confluence, etc.
Business Intelligence (BI), Data Science, Datenanalyse, Jira, Lean Startup, Predictive analytics, Python, Reporting, SQL
12/2015 – 11/2018
Tätigkeitsbeschreibung
Researched portfolio of 75+ major companies/equities and analyzed business and industry trends as well as company specific KPIs such as sales, market share, product range, brand perception and more.
Designed and used quantitative and qualitative research methods, in the form of data analysis (Excel), rating methodologies and surveys.
Authored research reports enhanced with data visualizations.
Datenanalyse, Finanzanalyse, Marktforschung / -analyse, MS Excel, Reporting, VBA (Visual Basic for Applications)
Zertifikate
deeplearning.AI
Persönliche Daten
- Deutsch (Muttersprache)
- Englisch (Fließend)
- Japanisch (Fließend)
- Europäische Union
- Schweiz
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