8 Data Analyst Jobs Remote

Erstellung von Datenflüssen aus verschiedensten Quellen in unsere Datenplattformen, Business-Analyse der Quellsysteme und den dazugehörigen Daten, Aufbereitung, Analyse und Visualisierung vielfältiger, projektbezogener Daten, Bereitstellung von Daten für Entwickler über Schnittstellen, Verantwortung für Datenanalysen einzelner Projekte, Konzeptionierung der Datenstruktur zusammen mit Data Steward und Data Warehouse Expert:innen für interne und externe Projekte um die Datenqualität zu steigern

Datenanalyse und Reporting: Analyse von Bewegungsdaten und Erstellung von wiederverwendbaren Reports., Business-Insights und Kommunikation: Übersetzung komplexer Analysen in verständliche Mehrwerte., Lösungspräsentation und Business-Insights: Analyse von Daten zur Aufzeigung des Mehrwerts der Lösung., Teamunterstützung und Weiterentwicklung: Mitwirkung an der Weiterentwicklung der Pipelines und Reportingstrukturen., Fachliche Unterstützung und Zusammenarbeit: Unterstützung des Customer Success Teams mit Analysen und Begleitung von Kundenterminen.

Erstellen von Datenanalysen zur Generierung von Insights über Fundraising und organisatorische Performance, Analysieren von Daten, Erstellen von Datenmodellen, Identifizieren von Korrelationen und Trends, Entwickeln von konkreten Handlungsempfehlungen, Erstellen von Prognosen zur Zielerreichung und strategischen Planung, Aufbauen und Pflegen von Berichten, Dashboards und Visualisierungen, Durchführen von Ad-hoc-Analysen, Sammeln und Verknüpfen von strukturierten und unstrukturierten Daten aus internen und externen Quellen

Explore data in different domains of the public sector and transform it into meaningful data stories and visualisations for decision-makers., Build, test and maintain automated data pipelines with airflow, python and dbt, as well as reliable predictive models., Support the process ranging from ideation, prototyping and implementation to standardisation, support and monitoring the solutions in production., Collaborate with other technical and non-technical teams in an agile environment., Take part in internal learning & growth projects.

Partnering with B2B stakeholders to drive operations activity performance and business results through data analysis and business acumen, Driving a data-driven culture through engaging stakeholders to conceptualize and implement KPIs and performance metrics, Formulating strategic recommendations regarding the next steps and calculate business cases for different options and scenarios, Refining, challenging and supporting requests from stakeholders and creating new data analyses based on commonly defined specifications, Becoming a data owner, understanding the data lineage end-to-end, Advising on process improvements and work hands-on, where possible, helping automate reporting

Explore data in different domains of the public sector and transform it into meaningful data stories and visualisations for decisionmakers., Build, test and maintain automated data pipelines with airflow, python and dbt, as well as reliable predictive models., Support the process ranging from ideation, prototyping and implementation to standardisation, support and monitoring the solutions in production., Collaborate with other technical and non-technical teams in an agile environment., Take part in internal learning & growth projects.

Provide the institute's management with meaningful reports, key figures, and analyses., Work closely with project controlling to optimize financial oversight., Design budgeting, planning, and forecasting mechanisms for a dynamic project environment., Define the requirements for data provisioning (Requirement Engineering)., Be responsible for the operation and steering of the further development of our data architecture (Data Engineering)., Model and visualize data using Excel and Power BI and advise end-users on visualization and interpretation., Ensure data integrity and consistency in close collaboration with the IT team and data stewards.

Design, develop, and maintain robust data pipelines to support reporting, analytics, and decision-making across the organization., Collaborate closely with data engineers, analysts, and scientists to translate business requirements into scalable data engineering solutions., Build and maintain scalable data infrastructure and processes, ensuring reliability, efficiency, and alignment with industry best practices., Monitor, optimize, and troubleshoot database performance to ensure seamless data flow and minimal downtime., Enable advanced analytics and machine learning by designing cloud-based solutions that are scalable and efficient., Guarantee data quality and consistency, contributing to the creation of a single source of truth across the organization., Play a pivotal role in shaping how data powers key business decisions in a fast-paced e-commerce environment.