At Bose Corporation, we believe sound is the most powerful force on earth — and for over 60 years, we have been a company built on innovation, excellence, and independence. Privately owned, fiercely customer-focused, and driven by our values, we continue to lead industries and transform lives through sound.
Today, Bose Corporation is entering an exciting new era. Across multiple global Business Units and Global Functions, we are shaping the future of audio technology, automotive, luxury, and premium experiences. We invite you to join us in this transformation.
Job Description
About the role
At Bose, our Analytics & Insights team helps people understand their business, investigate questions and make informed decisions. We are expanding how people work with data through trusted metrics, reusable analytical methods, well-designed experiences and AI analytical agents.
As a Senior Data Analyst within Data & AI, you will independently deliver analytical work from problem definition through adoption. You will combine strong analytical and technical skills with business judgment, clear communication and practical use of AI.
Your work will span business domains and analytical needs. You will help stakeholders act on evidence, develop reliable analytical solutions and contribute to the responsible use of AI agents. You will also guide colleagues and improve the methods and standards the team uses.
Primary responsibilities
- Own analytical projects. Work with business stakeholders and Product Owners to clarify the decision or problem, agree scope and success criteria, and manage delivery, dependencies and expectations.
- Turn business questions into recommendations. Form hypotheses, select appropriate methods and analyze complex datasets. Validate sources and assumptions, consider alternative explanations, and communicate findings, limitations and recommended actions.
- Develop trusted metrics and semantic models. Partner with business owners and engineering teams to implement approved definitions, validate calculations and preserve consistent meaning across reports, analyses and AI-enabled experiences.
- Design useful analytical experiences. Build and maintain Power BI dashboards and interactive reports that support specific decisions. Contribute to workflow designs and wireframes, making information, definitions and supporting evidence understandable to users.
- Apply AI throughout analytical work. Use approved AI tools to accelerate investigation, analysis, coding and documentation. Independently verify generated queries, calculations and conclusions before relying on them.
- Contribute to analytical agents. Configure, evaluate and improve task-specific agents using approved data sources, semantic context, tools and reusable patterns. Check that their outputs answer the intended question and are supported by evidence.
- Apply analytical-agent governance. For assigned agents, document intended use and limitations, develop relevant test cases, evaluate behavior before release and after changes, review performance and escalate issues through agreed processes.
- Maintain quality and continuity. Build validation and performance checks into analytical solutions. Maintain shared documentation and version-controlled work so others can understand, review, reuse and support it.
- Guide colleagues and improve how the team works. Review analytical work, coach less experienced analysts and share useful methods, templates and lessons from delivery.
- Follow through on impact. Support adoption through practical handoffs and stakeholder guidance. Check whether the work informed decisions, changed behavior or improved outcomes, and use that evidence to refine the solution.
Qualifications
- Strong SQL and analytical data-modeling skills, including complex queries, appropriate data grain, relationships and reusable business logic.
- Experience independently developing Power BI reports and working with semantic models.
- Ability to structure ambiguous business questions, assess data quality and apply analytical methods appropriate to the problem.
- Practical experience using generative AI in analytical or coding workflows, including using or configuring task-specific agents and critically evaluating their outputs.
- Understanding of responsible AI use, including data privacy, access restrictions, bias, unsupported claims and the need for human oversight.
- Clear written and verbal communication, including explaining technical findings, trade-offs and recommendations to different audiences.
- Demonstrated depth in at least one relevant area, such as semantic modeling, data visualization, analytical methods or a business domain.
- Ability to learn unfamiliar tools and topics, work across functions and help colleagues improve their analytical practice.
Education and experience
- 3+ years of relevant data analytics experience, with demonstrated ability to independently deliver complex projects, manage stakeholder relationships and influence business decisions.
- A bachelor's or master's degree in a quantitative, computational or business discipline, or equivalent practical experience.
Additional experience we value
- Snowflake, including semantic views and reusable business metrics.
- Python, dbt or version-controlled analytics development.
- Evaluation and maintenance of analytical agents, including test cases, monitoring and change controls.
- Analytical experience design, including user research, workflow mapping or wireframing.
Why join the team?
You will work with analysts, engineers and business partners on problems across Bose. The role offers opportunities to deepen your analytical specialization and contribute to how the team develops trusted metrics, useful analytical experiences and responsible AI capabilities.
Are you interested in this position?
We’d love to know you better! Submit your application by uploading your CV in English via the “Apply” button above.
