SD - Data Analyst

About Graitec Group Graitec is a global leader in Building Information Modeling (BIM) solutions, designing and developing software that helps architects, engineers, and manufacturers design smarter and better. With over 30 years of innovation and an entrepreneurial spirit, we’ve tripled our revenue in just five years.

Our North Star is clear — accelerate the digital transformation of the AECO industry and model the future. We achieve this by growing our recurring revenue through innovative software and services that drive adoption, integration, and lasting value for our customers. Our 800 experts across 30+ offices in 12 countries support more than 270,000 users worldwide.

As a global Autodesk Platinum Partner, we combine world-class partnerships with our own cutting-edge software and services to drive performance and sustainability across the industry. At Graitec, we move fast and think big. We collaborate across teams and borders, embrace diversity, and challenge ourselves to innovate every day.

We believe in doing the right thing, breaking down silos, and making an impact together. How we work: Growth, Agility, Innovation, Responsibility How we behave: Ambition, Engagement, One Graitec, Positive Energy Learn more about the Graitec Group: graitec-group.com/graitec-a-global-player About the Team Hiring The GRAITEC IT Department is a dynamic, multicultural environment bringing together skilled professionals across Europe and North America.

With core expertise in IT infrastructure, cybersecurity, systems administration, cloud technologies, and enterprise applications, the team works closely with all business units to ensure stable, secure, and efficient operations that support the company’s strategic objectives. At GRAITEC, the IT team plays a critical role in enabling business performance, minimizing security risks, and driving automation and digital transformation across the organization.

We foster a culture of continuous improvement, collaboration, and operational excellence, encouraging initiative, supporting professional development, and empowering our IT professionals to implement solutions that create real, measurable impact across the global organization Overview The Data Analyst is responsible for transforming data into actionable business insights that support strategic decision-making across the organization.

The role combines traditional analytical skills with modern data tools, automation capabilities, and AI-enabled technologies to deliver impactful reporting, dashboards, and recommendations. The successful candidate will work closely with business stakeholders to understand requirements, analyze trends, identify opportunities, and develop scalable reporting solutions.

They should be comfortable working with structured and unstructured data, creating visualizations, and leveraging modern analytics platforms to improve business performance. This role requires a professional who can bridge business and technology, combining strong analytical thinking with the ability to communicate insights effectively to both technical and non-technical audiences.

Key Responsibilities

Collect, analyze, and interpret data from multiple business sources. Design, develop, and maintain dashboards, reports, and visualizations. Translate business requirements into analytical solutions and meaningful KPIs. Identify trends, patterns, risks, and opportunities through data analysis. Support stakeholders with ad hoc analysis and data-driven recommendations.

Ensure data accuracy, consistency, and reporting quality. Automate recurring reports and analytical processes where appropriate. Utilize AI-powered analytics tools to improve efficiency and insight generation. Partner with business teams to measure operational and commercial performance. Create and maintain documentation for reports, metrics, and data definitions.

Support data governance, quality improvement, and continuous optimization initiatives. Present findings and recommendations to management and business leaders. Key Performance Indicators (KPIs) Business Impact Delivery of actionable insights supporting business decisions. Stakeholder satisfaction with analytical outputs.

Adoption rate of dashboards and reporting solutions. Measurable contribution to business performance initiatives. Reporting & Analytics Accuracy and reliability of reports and dashboards. Timely delivery of recurring and ad hoc reporting. Reduction of manual reporting effort through automation. Data quality improvement metrics.

Innovation & Improvement Implementation of AI-enabled analytical solutions. Process optimization and reporting automation initiatives. Development of new metrics and analytical frameworks. Continuous improvement of reporting capabilities. Collaboration Effective partnership with business stakeholders. Quality of presentations and data storytelling.

Documentation and knowledge-sharing contributions.

Responsibilities

3-5+ years of experience in Data Analytics, Business Analytics, Reporting, or Business Intelligence roles. Strong experience working with large datasets and multiple data sources. Advanced proficiency in Excel and data analysis techniques. Experience developing dashboards and visualizations using Power BI, Tableau, or similar tools.

Strong SQL skills for data extraction, transformation, and analysis. Experience translating business requirements into analytical outputs. Ability to identify trends, patterns, and actionable insights from data. Experience presenting analytical findings to non-technical stakeholders. Strong critical thinking and problem-solving skills.

Excellent verbal and written English communication skills.

Nice to Have

Experience with Microsoft Fabric. Experience with Azure Data services. Exposure to Python or R for analytics and automation. Experience using AI-powered analytics and reporting tools. Predictive analytics or forecasting experience.

Qualifications

Bachelor's degree in Data Analytics, Statistics, Computer Science, Mathematics, Economics, Business, or a related field. Strong analytical and quantitative mindset. Excellent communication and data storytelling skills. Ability to influence decision-making through data-driven recommendations. Strong business acumen and stakeholder management skills.

Attention to detail and commitment to data accuracy. Ability to manage multiple priorities and deadlines. Continuous learning mindset with interest in emerging technologies and AI.

Nice to Have

• Certifications Microsoft Certified: Power BI Data Analyst Associate (PL-300) Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) Microsoft Azure Data Fundamentals (DP-900) Microsoft Azure AI Fundamentals (AI-900) Tableau Certified Data Analyst Interview Process At Graitec, we’re proud to foster a diverse and inclusive workplace. We value our employees for who they are and the contributions they bring, encouraging everyone to be their authentic selves at work. This diversity helps us better serve the wide range of customers and markets we operate in. We welcome applications from all backgrounds and assess candidates solely on their skills and ability to succeed in the role. Graitec uses AI to support and streamline internal processes; however, all application reviews, screening, and hiring decisions are made solely by our Talent Acquisition team and hiring managers. HR Screening – An initial “get to know you” discussion. Technical Assessment Interview – May include a presentation or a collaborative exercise. Hiring Manager Interview – A role-specific discussion with the hiring manager. Final Interview – Conversation with the Business Unit Leader. Additional Information As a signatory of United Nations Women’s Empowerment Principles, Graitec is committed to equal opportunity and pay transparency. On Target Earning pay range for this role Role Targeted Variable Pay Mix: 10% Minimum Annual On Target Earning: RON 200,000 Maximum Annual On Target Earning: RON 250,000 Note: Salary range indicated in this add is for information only & targeted for a specific seniority level and targeted location. Final salary offer might vary depending on final candidate location, seniority, competencies... 3-5+ years of experience in Data Analytics, Business Analytics, Reporting, or Business Intelligence roles. Strong experience working with large datasets and multiple data sources. Advanced proficiency in Excel and data analysis techniques. Experience developing dashboards and visualizations using Power BI, Tableau, or similar tools. Strong SQL skills for data extraction, transformation, and analysis. Experience translating business requirements into analytical outputs. Ability to identify trends, patterns, and actionable insights from data. Experience presenting analytical findings to non-technical stakeholders. Strong critical thinking and problem-solving skills. Excellent verbal and written English communication skills.

Nice to Have

Experience with Microsoft Fabric. Experience with Azure Data services. Exposure to Python or R for analytics and automation. Experience using AI-powered analytics and reporting tools. Predictive analytics or forecasting experience. Bachelor's degree in Data Analytics, Statistics, Computer Science, Mathematics, Economics, Business, or a related field.

Strong analytical and quantitative mindset. Excellent communication and data storytelling skills. Ability to influence decision-making through data-driven recommendations. Strong business acumen and stakeholder management skills. Attention to detail and commitment to data accuracy. Ability to manage multiple priorities and deadlines.

Continuous learning mindset with interest in emerging technologies and AI.

Nice to Have

• Certifications Microsoft Certified: Power BI Data Analyst Associate (PL-300) Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) Microsoft Azure Data Fundamentals (DP-900) Microsoft Azure AI Fundamentals (AI-900) Tableau Certified Data Analyst