Analytics Engineer

Beschreibung

Job Zusammenfassung In dieser Rolle entwickelst du Datenpipelines mit SQL und Python, unterstützt Stakeholder mit Datenanalysen und KPIs, implementierst Datenarchitekturen und automatisierst ETL-Prozesse zur Entscheidungsfindung. Job Zusammenfassung In dieser Rolle entwickelst du Datenpipelines mit SQL und Python, unterstützt Stakeholder mit Datenanalysen und KPIs, implementierst Datenarchitekturen und automatisierst ETL-Prozesse zur Entscheidungsfindung. Deine Rolle im Team At justDice, we create mobile gaming experiences that reward players for their time and engagement. We move quickly, take ownership, and value people who bring ideas, curiosity, and a willingness to challenge how we do things. You'll work with experienced teammates, solve meaningful problems, and have the freedom to make an impact from day one. The Analytics Engineer occupies an essential role within our data-driven organization, collaborating with product, tech, and marketing teams while reporting to the Business Intelligence Lead. The primary purpose of this role is to support stakeholders in making informed decisions by proactively identifying challenges and opportunities through data analysis, leading to tangible and positive impacts on the business. Design, construct, and enhance data pipelines utilizing SQL, Python, dbt, git, and AWS services. Create and maintain data architecture and data models for various business domains. Implement data quality and validation processes to guarantee data accuracy and consistency. Automate and streamline data integration, ETL, and ELT processes to improve efficiency. Establish and implement data requirements and analytics solutions with our tech and product teams. Plan, execute, and evaluate experiments with our marketing and product teams. Establish the KPIs and metrics that will be used by the business. Develop appropriate monitoring tools for these indicators. Convey the message using visualization tools (Tableau). Unsere Erwartungen an dich Ausbildung Bachelor's degree in STEM fields or previous experience in related jobs or projects. Qualifikationen Strong SQL, Python programming skills. Knowledge of dbt. Proficient in data modeling, data architecture, and data engineering principles. Knowledge of GitLab or similar git-based version control systems. Ability to validate hypotheses through data visualization. Strong analytical skills. Autonomy and ability to work independently. Strong problem-solving skills. Growth mindset and eagerness to learn new technologies and methodologies. Is able to communicate in a pragmatic and professional manner. Erfahrung Minimum 3 years of experience in data science, engineering, analytics, or a related field. Unser Angebot Regular feedback and our development program support your growth, helping you expand your skill set and achieve your career goals. From signing to settling in Hamburg, we've got you covered. Need a visa? No problem. Ready to build your new life and career at justDice in Hamburg? We support every ambition-from learning German to a relocation bonus that helps you settle in and make Hamburg feel like home. We work in a hybrid setup with 3 core office days, plus flexible working hours. Enjoy 30 vacation days, 3 weeks of remote work per year, and free access to an in-house gym with lots of different fitness classes and mental health support through our Employee Assistance Program (EAP). Enjoy the Alster lake view from our central office with top notch equipment, fun open spaces, and a large variety of snacks and drinks. Participate in regular team and company events, including hackathons and social gatherings. Themen mit denen du dich im Job beschäftigst AI Data Economy Metadaten Level: Erfahren Job Feld: BI, Data Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Hybrid, Onsite Unternehmenstyp: Digitale Agentur Branche: Internet, IT, Telekom Ort: Hamburg | Deutschland

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