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Business Intelligence Germany Jobs (NOW HIRING)

BI / Analytics Engineer

New York, NY · On-site +1

$55.75 - $72.50/hr

... in Paris, London, and Germany. Our commitment to excellence has earned high-profile honors ... Serve as the primary point of contact for all business intelligence requests and questions from ...

Coordinate with intelligence partners to ensure analytic findings support broader mission ... Vicenza, Italy * Wiesbaden, Germany * Fort Shafter, Hawaii Working at SOSi All interested ...

Support Business Intelligence data collection and Analysis. * Coordinate with other functions that ... We are proud to be recognized as a Top Employer 2026 in Brazil, Canada, China, Finland, Germany ...

Support Business Intelligence data collection and Analysis. * Coordinate with other functions that ... We are proud to be recognized as a Top Employer 2026 in Brazil, Canada, China, Finland, Germany ...

The parent company, SCHOTT AG, has its headquarters in Mainz (Germany) and is solely owned by the ... Independently conduct market research - primary and secondary - related to existing or new business

S. locations, as well as operations in Belgium, Singapore, Germany, and China. Throughout this ... Experience using ERP and business intelligence tools for financial analysis and reporting preferred

The parent company, SCHOTT AG, has its headquarters in Mainz (Germany) and is solely owned by the ... Independently conduct market research - primary and secondary - related to existing or new business

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Business Intelligence Germany information

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$29.5K

$114.3K

$167.5K

How much do business intelligence germany jobs pay per year?

As of Jun 10, 2026, the average yearly pay for business intelligence germany in the United States is $114,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $142,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Business Intelligence professional in Germany, and why are they important?

To thrive as a Business Intelligence professional in Germany, you need strong analytical skills, proficiency in data modeling, and a relevant degree in fields like computer science, business, or statistics. Expertise in BI tools such as Power BI, Tableau, or SAP BW, along with knowledge of SQL and data warehousing concepts, is typically required, and certifications in these technologies are highly valued. Excellent problem-solving abilities, communication skills, and cross-functional teamwork help you interpret data and deliver actionable insights to stakeholders. These competencies enable you to transform complex data into strategic decisions, driving business growth and competitiveness in the German market.

What are Business Intelligence professionals in Germany?

Business Intelligence (BI) professionals in Germany are specialists who gather, analyze, and interpret data to help organizations make informed business decisions. They use tools and technologies to collect data from various sources, create dashboards and reports, and identify trends or patterns that can improve business performance. These professionals often work closely with management and IT teams to ensure data-driven strategies are implemented effectively. In Germany, BI roles are in high demand across industries such as finance, manufacturing, and retail, due to the growing importance of data-driven decision-making.

What is the difference between Business Intelligence Germany vs Data Analyst Germany?

AspectBusiness Intelligence GermanyData Analyst Germany
Required CredentialsDegree in IT, Business, or related field; BI certificationsDegree in Statistics, Mathematics, or related field; Data analysis certifications
Work EnvironmentBusiness intelligence teams, IT departments, corporate officesData analysis teams, research departments, corporate offices
Employer & Industry UsageUsed across industries for strategic decision-makingUsed for data interpretation, reporting, and insights
Common Search & ComparisonOften compared for strategic rolesCompared for analytical roles

Business Intelligence Germany focuses on developing and managing BI systems, dashboards, and strategic insights, while Data Analyst Germany emphasizes analyzing data sets, creating reports, and supporting decision-making through data interpretation. Both roles require strong analytical skills but differ in scope and tools used.

How does a Business Intelligence professional in Germany typically collaborate with cross-functional teams to drive data-driven decision making?

Business Intelligence professionals in Germany often work closely with departments such as finance, marketing, sales, and operations to gather requirements and develop tailored data solutions. They translate business needs into analytical reports and dashboards, facilitate workshops to explain insights, and support colleagues in interpreting data for strategic decisions. Regular collaboration with IT teams is also common to ensure robust data infrastructure and compliance with data privacy regulations. This cross-functional approach helps build a data-driven culture and ensures BI solutions align with organizational goals.
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BI / Analytics Engineer

BI / Analytics Engineer

Sol de Janeiro

New York, NY • On-site, Remote

$55.75 - $72.50/hr

Full-time

Posted 5 days ago


Job description

Our Story
Launched in 2015, Sol de Janeiro is a globally recognized, award-winning beauty brand, drawing inspiration from Brazil's beauty rituals, warmth, and spirit. Sol de Janeiro delivers a sensory experience beloved by multi-generational consumers worldwide, with clinically proven results, transformative textures, and transportive fragrances.
Headquartered in New York and launched as a digitally native brand, we have expanded globally with teams in Paris, London, and Germany. Our commitment to excellence has earned high-profile honors, including being named one of TIME100's 2024 Most Influential Companies, Fast Company's 2024 World's Most Innovative Companies, and WWD Beauty Inc's Power Brands of 2024, underscoring its leadership in the beauty industry and outstanding workplace. These accolades highlight our dedication to being a leading brand in the beauty industry and an exceptional workplace.
What You'll Do
Sol de Janeiro is looking for a BI / Analytics Engineer to own and evolve our business intelligence platform. This role is the primary owner of the Domo environment, responsible for building and maintaining the dashboards, data pipelines, and reporting infrastructure that our business relies on for day-to-day decisions. You will work closely with stakeholders across Finance, Supply Chain, Marketing, and Operations to translate business questions into reliable, self-service analytics.
The ideal candidate brings hands-on BI platform experience, practical SQL skills for last-mile data shaping, and enough understanding of data engineering concepts to speak the same language as the analysts and engineers they will work alongside. This is not a support role, and it is not an island. You will own the BI layer end-to-end while partnering closely with the broader data team on everything upstream.
What You'll be Working On
Platform Ownership & Dashboard Development
  • Own the Domo platform: administration, user management, governance, and performance optimization.
  • Design, build, and maintain dashboards, cards, and data applications that serve business stakeholders across departments.
  • Ensure all reporting is accurate, consistent, and aligned with defined KPI standards.
  • Develop and enforce best practices for dashboard design, naming conventions, and content organization within the platform.
Data Pipelines & Integration
  • Build and maintain data ingestion workflows that bring data into Domo from source systems including SAP S/4HANA, Databricks, and third-party platforms.
  • Monitor data jobs and ingestion schedules, investigate issues, and coordinate with data engineers to resolve failures before they impact downstream reporting.
  • Apply last-mile SQL transformations within Domo to shape, filter, and prepare data for dashboard consumption. Complex data modeling, joins, and warehouse logic are handled by the data engineering team.
  • Work closely with data analysts, data engineers, and the Data Architect to coordinate on upstream data needs, flag issues at the source, and ensure the data flowing into the BI layer is accurate and complete.
Stakeholder Engagement & Enablement
  • Serve as the primary point of contact for all business intelligence requests and questions from stakeholders.
  • Partner with business teams and data analysts to understand reporting needs, translate requirements into technical specifications, and deliver solutions.
  • Enable self-service analytics by training business users on Domo features, dashboard navigation, and data interpretation.
  • Proactively identify opportunities where new dashboards, alerts, or data products can improve decision-making or reduce manual effort.
Data Quality & Governance
  • Ensure uniform KPI definitions and calculations across all dashboards and reports, maintaining a single source of truth for business metrics.
  • Build and maintain data validation processes that flag inconsistencies, gaps, or anomalies in source data before they surface in reports.
  • Maintain clear documentation for data sources, mappings, transformation logic, and ETL workflows.
  • Partner with IT and compliance teams to ensure data handling within the BI platform meets security and privacy requirements.
Must Haves
• Bachelor's degree in Business Analytics, Computer Science, Information Systems, or a related field (or equivalent experience).
• 5+ years of experience working with business intelligence platforms, including dashboard development, data modeling, and pipeline management.
• Hands-on experience with Domo strongly preferred, including platform administration and data job configuration.
• Comfortable with SQL for querying, data validation, and last-mile transformations within a BI platform. This role does not require deep data engineering SQL, but you should be able to write and troubleshoot queries confidently.
• Understanding of ETL concepts and familiarity with data integration methods (connectors, APIs, SFTP, cloud data platforms).
• Experience working with ERP data (SAP S/4HANA preferred) and understanding how data flows through finance, supply chain, and operations systems.
• Familiarity with cloud data platforms such as Databricks, Snowflake, or similar environments.
• Strong communication skills with the ability to translate business needs into technical solutions and present findings to non-technical stakeholders.
• Proven ability to work cross-functionally in a fast-paced environment with shifting priorities.
Salary Range
$90,000-$120,000 USD
Why Sol de Janeiro?
  • Competitive salary and bonus program for full-time team members
  • Flexible hybrid work environment with opportunities for collaboration and growth
  • Inclusive culture that values diverse perspectives and celebrates individuality
  • The chance to be part of a fast-growing, award-winning global beauty brand

The information contained herein is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee, as these may change or new ones may be assigned at any time.
Sol de Janeiro is committed to diversity and inclusion in the workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Requests for accommodation due to a disability or any other protected characteristic can be made at any stage of the recruitment process and during employment by contacting our People Experience Team at careers@soldejaneiro.com.
https://soldejaneiro.com/pages/privacy-policy-sol-de-janeiro