Data Engineer – Data Analytics, Business Intelligence

Jobtailor; Deutschland; Vor Ort; EUR 65.000 - 95.000; Vollzeit

Zusammenfassung

Jobtailor is seeking an experienced data analytics professional in Germany to deliver analytics solutions, build dashboards, and ensure data quality across multiple systems. You will work with engineering and business stakeholders to translate complex data findings into actionable insights and scalable reporting processes.

Ideal candidates have 5–7 years in data analytics and BI, strong analytical skills, and hands-on experience with Power BI or Tableau.

Qualifikationen

• Bachelor-level degree in a technical field as listed.
• 5–7 years in data analytics, BI, reporting, or data quality.
• 4+ years validating data quality across multiple systems.
• 3+ years building dashboards and reports in BI platforms.

Aufgaben

• Partner with engineering and business stakeholders to define reporting requirements and analytics solutions.
• Analyze large datasets to identify trends, performance gaps, risks, and opportunities.
• Conduct data quality assessments to ensure accuracy and integrity across sources.
• Design, automate, and maintain data collection, transformation, validation, and reporting processes.
• Develop dashboards, KPI scorecards, and self-service analytics for visibility into performance.
• Build data validation frameworks and monitoring to proactively resolve issues.
• Collaborate to improve data models, reporting structures, and metadata management.
• Translate complex findings into clear recommendations for technical and executive audiences.
• Drive process improvements via automation and scalable analytics solutions.
• Support root-cause investigations using data to identify drivers of issues.
• Document methodologies, requirements, reporting processes, and data quality standards.

Kenntnisse

Analytical thinking

Data quality

BI dashboards

Data governance

Problem solving

Communication

Ausbildung

Bachelor's degree in CS/CE/IS/Data Analytics or related

Tools

Power BI

Tableau

SQL

Jobbeschreibung

Responsibilities

• Partner with engineering, operations, program management, and business stakeholders to understand objectives, define reporting requirements, and deliver analytics solutions that support informed decision-making.
• Analyze large, complex datasets to identify trends, anomalies, performance gaps, risks, and opportunities for operational improvement.
• Conduct data quality assessments, validation, and verification activities to ensure accuracy, completeness, consistency, and integrity across multiple data sources.
• Design, implement, automate, and maintain scalable data collection, transformation, validation, and reporting processes.
• Develop and maintain dashboards, KPI scorecards, reports, and self‑service analytics solutions that provide visibility into operational performance, program health, technical metrics, and business outcomes.
• Build data validation frameworks, monitoring processes, and quality controls to proactively identify and resolve data issues.
• Collaborate with technical teams to enhance data models, reporting structures, metadata management practices, and overall data governance initiatives.
• Translate complex technical findings into clear, concise, and actionable recommendations for both technical and executive audiences.
• Drive process improvements through automation, standardization, and implementation of scalable analytics and reporting solutions.
• Support root cause investigations by leveraging data to identify drivers of operational issues, risks, and performance challenges.
• Document methodologies, business requirements, reporting processes, and data quality standards to ensure consistency and scalability.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Data Analytics, or a related technical field.
• 5–7 years of professional experience in data analytics, business intelligence, reporting, data quality management, or a related discipline.
• 4+ years of experience conducting data quality validation and verification to ensure data accuracy, completeness, and consistency across multiple systems and sources.
• 4+ years of experience analyzing large datasets to identify trends, anomalies, risks, gaps, and opportunities for improvement.
• 3+ years of experience developing dashboards, reports, and visualizations using Power BI, Tableau, or similar business intelligence platforms.
• Experience designing and implementing data quality monitoring, validation, and governance processes.
• Experience automating manual workflows using scripting, workflow automation, or data integration technologies.
• Strong analytical, troubleshooting, problem‑solving, and investigative skills.
• Excellent written and verbal communication skills with the ability to present complex findings to both technical and non‑technical audiences.
• Demonstrated success delivering scalable solutions that improve operational visibility, efficiency, and data reliability.

Core Competencies

Demonstrates expertise in data analytics, data quality management, and business intelligence, with a strong focus on developing scalable reporting solutions and dashboards. Proficient in translating complex data findings into actionable insights for diverse audiences.