ABOUT US
Hexagon is the global leader in digital reality solutions, combining sensor, software and autonomous technologies. Our solutions free our customers to harness the rapidly-increasing amounts of data, putting it to work to boost efficiency, productivity, quality and safety across industrial, manufacturing, infrastructure, public sector and mobility applications.
At our very core is a powerful vision of a future where data is fully leveraged so that business, industry and humanity sustainably thrive. We believe in a world where economic growth does not come at the expense of the planet and its people, and that we should drive sustainability efforts in every aspect of our business.
Hexagon (Nasdaq Stockholm: HEXA B) has approximately 24,000 employees in 50 countries and net sales of approximately 5.2bn EUR. Learn more at hexagon.com and follow us @HexagonAB.
ROLE DESCRIPTION
The Senior Business Intelligence (BI) Developer is responsible for designing, developing, and implementing advanced BI solutions. This role requires strong skills in building semantic models, collaborating with business stakeholders to gather and translate business requirements into technical specifications, and working with IT teams to understand and optimize data flows. The Senior BI Developer plays a critical role in transforming raw data into actionable insights, ensuring that business decisions are data-driven and supported by robust analytics.
RESPONSABILITIES
Semantic Model Development:
- Design, build, and maintain robust semantic models that simplify complex data structures, enabling end-users to perform efficient analysis.
- Ensure that semantic models align with business requirements and data governance best practices.
- Optimize data models for performance and scalability, ensuring data accuracy and consistency across different BI tools.
Collaboration with Business Stakeholders:
- Work closely with business units (e.g., sales, marketing, pricing) to gather and analyse reporting and analytics needs.
- Translate business requirements into clear, detailed technical specifications for BI solutions.
- Develop interactive dashboards, reports, and visualizations based on business specifications, enabling data-driven decision-making.
- Provide guidance and training to business users on how to effectively use BI tools and solutions.
Data Flow Analysis and Integration:
- Collaborate with IT teams to understand existing data architectures, data sources, and data flow processes.
- Support data pipelines and ELT (Extract, Load, Transform) processes with IT to ensure smooth data integration between systems.
- Identify gaps in data flows and recommend improvements to ensure data availability, accuracy, and accessibility for BI applications.
- Ensure seamless integration of BI solutions with data warehouses, databases, and other business systems.
BI Solution Design and Development:
- Lead the end-to-end development of BI solutions, from initial concept to final delivery.
- Create and maintain custom reports, dashboards, and scorecards that provide actionable insights and help achieve key performance indicators (KPIs).
- Ensure that BI solutions are aligned with business objectives and user requirements, while adhering to technical standards and best practices.
- Perform regular reviews and optimizations of existing BI solutions to enhance performance and user experience.
Data Governance and Quality:
- Implement and enforce data governance best practices to ensure data integrity, security, and compliance.
- Perform data validation and cleansing as necessary to maintain high-quality and trustworthy data.
- Monitor and troubleshoot data quality issues, working with IT and business teams to resolve any discrepancies.
Team Mentorship:
- Provide technical mentorship to junior BI developers and analysts, guiding them in best practices, design standards, and development methodologies.
- Stay up-to-date with the latest BI technologies, trends, and tools, and advocate for continuous improvement within the BI team.
- Participate in cross-functional team meetings, providing insights on BI best practices and potential improvements to current systems and processes.
PROFILE:
- Education:Degree in Computer Science, Information Technology, Business Analytics, or a related field.
- Experience:5+ years of experience in Business Intelligence development, with a focus on building semantic models and data analytics.
- Technical Skills:
- Strong proficiency in BI tools such as Power BI, Tableau, or QlikView.
- Expert-level knowledge in designing and building OLAP and semantic models (e.g., in Power BI or SSAS).
- Proficient in SQL, DAX, Python, or Spark for querying and modelling data.
- Experience with ELT tools and data integration (e.g., Fabric, Informatica).
- Familiarity with cloud-based data platforms (e.g., Azure, AWS, or Google Cloud) and data warehousing solutions.
- Business Skills:
- Strong communication skills to bridge the gap between technical teams and business stakeholders.
- Proven experience in translating business requirements into actionable technical solutions.
- Ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced environment.
- Familiarity with Agile methodologies and project management tools.
Key Competencies:
- Analytical Thinking:Ability to break down complex business problems and analyse data to identify trends and actionable insights.
- Collaboration:Strong interpersonal skills to work with cross-functional teams and stakeholders at all levels of the organization.
- Attention to Detail:Precision in developing accurate data models, dashboards, and reports.
- Leadership:Capable of mentoring and guiding junior team members, while driving innovation in BI practices.
