freiberufler BI Developer | Senior Data Analyst auf freelance.de

BI Developer | Senior Data Analyst

zuletzt online vor 2 Tagen
  • 85€/Stunde
  • 262-0032 Tokyo
  • auf Anfrage
  • de  |  en  |  ja
  • 18.11.2024

Kurzvorstellung

BI Developer und Data Analyst mit Erfahrung neue Datenprojekte aufzusetzen und zu migrieren.

SQL, Python, Data Warehousing, Machine Learning, BI Tools (Looker, Tableau, Power BI , etc.), Product und Marketing Analytics.

Qualifikationen

  • Business Intelligence (BI)3 J.
  • Data Science3 J.
  • Data Warehousing1 J.
  • Datenanalyse7 J.
  • Looker
  • Predictive Analytics3 J.
  • Python4 J.
  • Reporting5 J.
  • SQL3 J.
  • Tableau

Projekt‐ & Berufserfahrung

Google Looker Consultant and BI Developer
HSBC, Remote
9/2023 – 6/2024 (10 Monate)
Banken
Tätigkeitszeitraum

9/2023 – 6/2024

Tätigkeitsbeschreibung

• Migrated a vast SAP BusinessObjects environment with thousands of reports to Google Looker, enhancing interactivity and analytical capabilities for fund managers.
• Developed the Looker analytics architecture and visualizations, including LookML models, explores, views and dashboards for financial investment reporting (e.g. fund assets, private equity, ESG).
• Implemented ETL processes between Looker and the data warehouse, transforming DWH data into aggregated tables and data models tailored to meet business needs.
• Built Python scripts to harness Looker’s API and integrated Looker with GitHub for version control.
• Leveraged HTML and Liquid to design custom navigation, filters, and metrics, improving the user experience of interacting with the data and dashboards.
• Trained an in-house team of analysts and project managers on Google Looker and authored documentation to support independent usage.

Eingesetzte Qualifikationen

Business Intelligence (BI), Data Warehousing, Datenanalyse, Google Cloud, Python, SAP BusinessObjects (BO), SQL

Data Scientist Consultant
Lados Ltd, Sliema
12/2022 – 6/2023 (7 Monate)
Finanzdienstleister
Tätigkeitszeitraum

12/2022 – 6/2023

Tätigkeitsbeschreibung

• Designed, trained and deployed an XGBoost machine learning model in Python to predict market indicators, driving automated trading strategies.
• Implemented a real-time end-to-end pipeline to fetch live API data, transform it into a feature data frame, and deliver predictions to the algorithm engine for instant trading decisions.
• Created interactive Tableau dashboards and Jupyter notebooks to visualize and analyse algorithm performance, enhancing transparency for business owners.

Eingesetzte Qualifikationen

Data Science, Datenanalyse, Maschinelles Lernen, Python, Scikit-learn, Tableau

BI Developer (Looker) and Data Science Consultant
Taxfix GmbH, Remote
1/2022 – 7/2022 (7 Monate)
FinTech
Tätigkeitszeitraum

1/2022 – 7/2022

Tätigkeitsbeschreibung

• Established the analytics environment for a new product line, developing Looker and Metabase dashboards, data models, and event trackers to support informed decision-making by stakeholders.
• Forecasted operational needs and identified bottlenecks affecting customer wait times, leading to an operational overhaul and a 50% reduction in wait times.
• Achieved a 5% increase in conversion rates through A/B testing, enhancing product revenue.
• Laid the groundwork for LTV analysis by clustering the user base into customer value segments and ranking features for value generation using XGBoost and SHAP.
• Led a weekly data deep-dive meeting with the project team to share insights and align findings with product and business strategies.

Eingesetzte Qualifikationen

Big Data, Business Intelligence (BI), Data Science, Data Warehousing, Datenanalyse, Jira, Lean Startup, Maschinelles Lernen, Predictive Analytics, Python, Snowflake, SQL

Analytics Consultant
7Pace GmbH, Remote
6/2021 – 10/2021 (5 Monate)
SaaS
Tätigkeitszeitraum

6/2021 – 10/2021

Tätigkeitsbeschreibung

• Spearheaded the end-to-end implementation of Amplitude, overseeing app tracking setup, coordinating testing with engineers, and designing MVP dashboards for stakeholders.
• Fostered self-service analytics within the organization by mentoring the product team in leveraging Amplitude for data-driven decision-making.

Eingesetzte Qualifikationen

Business Intelligence (BI), Datenanalyse, Predictive Analytics, Reporting

Senior Data Analyst (Festanstellung)
Zuper GmbH, Remote
5/2019 – 5/2021 (2 Jahre, 1 Monat)
FinTech
Tätigkeitszeitraum

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.

Eingesetzte Qualifikationen

Business Intelligence (BI), Data Science, Datenanalyse, Jira, Lean Startup, Predictive Analytics, Python, Reporting, SQL

Research Analyst (Festanstellung)
Third Bridge Group, London
12/2015 – 11/2018 (3 Jahre)
Finanzdienstleister
Tätigkeitszeitraum

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.

Eingesetzte Qualifikationen

Datenanalyse, Finanzanalyse, Marktforschung / -analyse, Microsoft Excel, Reporting, VBA (Visual Basic for Applications)

Zertifikate

Applying Advanced LookML Concepts
Google
2023
Deep Learning Specialization
deeplearning.AI
2023

Persönliche Daten

Sprache
  • Deutsch (Muttersprache)
  • Englisch (Fließend)
  • Japanisch (Fließend)
Reisebereitschaft
auf Anfrage
Arbeitserlaubnis
  • Europäische Union
  • Schweiz
Home-Office
unbedingt
Profilaufrufe
534
Alter
37
Berufserfahrung
8 Jahre und 11 Monate (seit 12/2015)

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