Data Analyst

Jobgether; Germany (OH); On-site; USD 62,799 - 102,762; Full time

Benefits offered by this job

Weekly payments

Remote India

Full-time 30-40h

Training & Upskilling

Support throughout engagement

AI & BI tooling

Collaborative culture

Job summary

Jobgether, based in Germany, seeks a Data Analyst to drive business decisions through data, analytics, and automation. You will work with technical and business stakeholders to develop dashboards, optimize reporting systems, and build scalable data solutions that improve operational performance.

The role combines BI, AI, and cloud technologies to transform raw data into actionable insights across multiple functions, in a collaborative and fast-paced environment that rewards innovation and

Qualifications

• 5+ years of experience in Data Analytics, Business Intelligence, or a related field.
• Strong proficiency in SQL and Python for data analysis, reporting, and automation.
• Advanced Microsoft Excel skills and strong proficiency with Google Sheets.

Responsibilities

• Design, build, and maintain interactive dashboards and business intelligence reports using modern visualization tools.
• Analyze operational, sales, recruiting, and financial data to uncover trends, opportunities, and performance insights.
• Develop scalable reporting systems, data models, and KPI frameworks to support business growth.
• Validate data accuracy and maintain data integrity across multiple platforms and business units.
• Build cloud-based workflows and automation processes to streamline reporting and reduce manual effort.
• Leverage AI tools to improve reporting efficiency, automate workflows, and support data-driven initiatives.
• Perform SQL-based data extraction, transformation, validation, and reporting.
• Support API integrations between business platforms and troubleshoot data connectivity issues.
• Document reporting processes, technical workflows, and analytics solutions to ensure consistency and scalability.
• Collaborate with leadership and cross-functional teams to continuously improve reporting capabilities and operational performance.

Skills

SQL

Python

Excel

Google Sheets

Power BI

Tableau

Looker

APIs

AI tools

Automation

Education

Bachelor's degree in Computer Science, Data Analytics, Information Systems, Engineering, Mathematics, Statistics, or related technical discipline

Tools

REST APIs

Cloud data workflows

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Analyst based in Germany.

This role is an excellent opportunity to drive business decisions through data, analytics, and automation. You will work closely with technical and business stakeholders to develop dashboards, optimize reporting systems, and build scalable data solutions that improve operational performance. Combining business intelligence, AI, and cloud technologies, you will help transform raw data into actionable insights across multiple functions. The position offers a collaborative, fast-paced environment where innovation and continuous improvement are encouraged. If you enjoy solving complex business problems with data and leveraging modern analytics tools, this role offers both impact and professional growth.

Accountabilities:

As a Data Analyst, you will support reporting, business intelligence, and automation initiatives while helping improve data quality, operational efficiency, and strategic decision-making across the organization.

• Design, build, and maintain interactive dashboards and business intelligence reports using modern visualization tools.
• Analyze operational, sales, recruiting, and financial data to uncover trends, opportunities, and performance insights.
• Develop scalable reporting systems, data models, and KPI frameworks to support business growth.
• Validate data accuracy and maintain data integrity across multiple platforms and business units.
• Build cloud-based workflows and automation processes to streamline reporting and reduce manual effort.
• Leverage AI tools to improve reporting efficiency, automate workflows, and support data-driven initiatives.
• Perform SQL-based data extraction, transformation, validation, and reporting.
• Support API integrations between business platforms and troubleshoot data connectivity issues.
• Document reporting processes, technical workflows, and analytics solutions to ensure consistency and scalability.
• Collaborate with leadership and cross-functional teams to continuously improve reporting capabilities and operational performance.

Requirements:

The ideal candidate combines strong technical expertise with analytical thinking and a passion for leveraging data and automation to solve business challenges.

• 5+ years of experience in Data Analytics, Business Intelligence, or a related field.
• Strong proficiency in SQL and Python for data analysis, reporting, and automation.
• Advanced Microsoft Excel skills and strong proficiency with Google Sheets.
• Experience building dashboards using Power BI, Tableau, Looker, or similar business intelligence platforms.
• Experience working with cloud-based data workflows, REST APIs, and data integrations.
• Familiarity with AI tools such as ChatGPT, Claude, or similar large language models to improve productivity and reporting.
• Understanding of automation concepts, workflow optimization, and business process improvement.
• Experience supporting business operations through data analysis and performance reporting.
• Bachelor's degree in Computer Science, Data Analytics, Information Systems, Engineering, Mathematics, Statistics, or a related technical discipline is preferred.
• Strong analytical mindset, attention to detail, communication skills, and the ability to work independently in a fast-paced environment.
• Curiosity, adaptability, and a continuous improvement mindset with a willingness to learn new technologies.

Benefits:

• Competitive compensation with weekly payments.
• Flexible remote work opportunity based in India.
• Full-time engagement of approximately 30–40 hours per week.
• Access to ongoing training, professional development, and upskilling opportunities.
• Continuous support and guidance throughout the engagement.
• Opportunity to work with modern analytics, AI, automation, and business intelligence technologies.
• Collaborative and supportive professional community.
• Exposure to a variety of business intelligence and data-driven projects across multiple business functions.