06.09.2022 aktualisiert

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100 % verfügbar

Business Intelligence Consultant, Data Analyts, Performance and Web Analytics Co

Berlin, Deutschland
Weltweit
Marketing and Administration
Berlin, Deutschland
Weltweit
Marketing and Administration

Profilanlagen

CV - Amanda da Silva

Skills

Python, R, Power BI, MicroStrategy, Tableau, Google Data Studio, Google Analytics, AdWords, Analytics, Data Studio, Google Tag Manager, business intelligence tools, SQL, Adobe Analytics, Web Analytics, social media, Facebook Insights, Youtube, Twitter , Google, Coremetrics, Sitecatalyst

Sprachen

DeutschGrundkenntnisseEnglischgutPortugiesischgutSpanischgut

Projekthistorie

Digital Analyst

Zurich Insurance

Versicherungen

1000-5000 Mitarbeiter

- Helps identify analytic strategies, measure website and conversion funnel performance, as well as online campaigns, digital marketing and multichannel activities;
- Builds and maintains weekly, monthly summary reports and dashboards on Tableau and Data Studio ;
- Implementing Google Analytics tracking, developing tagging in Google Tag Manager;

- Measuring the impact of product features to take fact-based decisions and make sure the App and Website keep improving; - Developing business intelligence tools and dashboards to help the different departments in their job;
- Work with different types of data and modeling the data with Tableau and SQL.

Business Intelligence Consultant

Iluztrar
- Implementation of Google Tag Manager and events via GTM.

- Implementation of Remarketing and AdPlaces Tags

- Creation and implementation of goals and kpi`s in Google Analytics

- Sending of weekly reports with the evolution of the inscriptions for the entrance exam.

- Analysis of media investment and ROI.

- Client: FEI

Business Intelligence Consultant

HandMade UX
- Understanding the company and data collected in the most diverse channels such as Google Analytics, Adobe Analytics, call

center data and open data as research and government data.

- Carry out the mapping of the KPIs that defined the success of the proposed solution according to the business objective and

product objective.

- Document measurement strategy, definition of pageviews, events, variables, goals and funnels of conversion paths, separate

groups of metrics and indicate how the analysis should be performed.

- Technical documentation (source code) for implementing analytics tools and configuring their interfaces.

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