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About the Role

The Senior Business Data Analyst translates business needs into scalable, high-quality data and analytics solutions. This is a hands-on senior analytics role combining strong business ownership with technical depth. You will work directly with stakeholders to understand business problems, clarify outcomes and requirements, investigate data, generate insights, and deliver analytical products from discovery through implementation. You will join the Smart Infrastructure, Asset Management Software Information Technology (SI AMS IT) Data & AI team and work across Sales, Marketing, Customer Success, Finance, and other commercial functions. Marketing will be an important area of focus, making previous experience in Marketing Analytics or related commercial domains particularly valuable. The role offers significant ownership and visibility within a small, collaborative Data & AI team. You will work with modern technologies including Snowflake, dbt, SQL, Python, Power BI, and Qlik, while contributing to the continued evolution of our analytics, data products, and AI capabilities. We expect you to be an early adopter of generative AI, using it to accelerate delivery and expand into adjacent technical areas. This role is ideal for an experienced analyst who enjoys owning the full analytics lifecycle, from understanding business problems and defining requirements through data modeling, analysis, visualization, and stakeholder adoption.

Responsibilities

Partner with business stakeholders to understand problems, desired outcomes, success criteria, and business value.
Handle ongoing business requests as a trusted partner, focusing on the business need behind each ask.
Translate business needs into clear, actionable data and analytics requirements.
Resolve missing or ambiguous requirements and break larger problems into manageable use cases.
Build strong understanding of assigned business domains, processes, metrics, and business logic.
Lead discovery, solution demonstrations, validation, and business sign off for assigned use cases.
Collaborate with global stakeholders across North America and Europe, with core working hours aligned to Eastern Time business operations.
Extract, combine, analyze, and validate complex datasets using advanced SQL and analytical tools.
Identify trends, patterns, anomalies, and actionable business insights.
Apply statistical and analytical methods to support business decisions.
Assess data quality, completeness, and fitness for purpose.
Translate analytical findings into clear recommendations for stakeholders.
Use generative AI tools, such as Claude Code or GH Copilot, to accelerate SQL, dbt, and Power BI development, and share what works with the team.
Design and develop dashboards, visualizations, and analytical products using Power BI, Qlik, and other relevant tools.
Create intuitive data experiences that enable stakeholders to act on insights.
Contribute to reusable data products, shared metrics, and standardized analytics solutions.
Support use cases across customer segmentation, marketing effectiveness, revenue analytics, retention, and predictive analytics.
Understand source systems, warehouse structures, data relationships, business definitions, and analytical data models.
Create or adapt analytical data models and transformations for individual use cases.
Work with platforms such as Snowflake and tools such as dbt.
Investigate analytical data issues and partner with Data Engineering on production pipelines and shared models.
Own assigned data use cases from initial business problem through delivery, validation, and adoption.
Act as solution lead and coordinate contributions from Data Engineering, Data Science, BI, AI, and other specialists.
Proactively manage dependencies, risks, and data availability constraints.
Share knowledge and reduce dependency on individual experts through office hours, training, self-service reporting, and recurring metric deep dives.
Apply established data standards, definitions, governance requirements, and documentation practices.
Identify data quality risks and coordinate resolution with appropriate owners.
Maintain awareness of security, privacy, responsible data usage, and enterprise governance requirements.
Support traceability and consistency of important business metrics and analytical outputs.

Requirements

7+ years of experience in data analytics, business intelligence, analytics engineering, or a related field, or equivalent demonstrated experience.
Advanced SQL skills, including complex joins, common table expressions, window functions, and analytical transformations.
Strong analytical and data modeling capabilities, including experience working with relational data, transformations, data quality, validation, and complex datasets.
Demonstrated experience partnering with business stakeholders to translate business problems into analytical requirements and pragmatic solutions.
Proven track record of uncovering insights through data mining and analysis, and applying business acumen to recommend actions that shaped decisions.
Experience developing dashboards, visualizations, or analytical applications using Power BI, Qlik, or comparable BI platforms.
Hands-on experience with Salesforce or other CRM data, such as opportunities, accounts, leads, and campaigns.
Experience working with a modern cloud data platform such as Snowflake, Databricks, Azure, AWS, or comparable technologies.
Ability to independently investigate business and data problems and deliver analytical solutions with limited supervision.
Strong communication and collaboration skills, with the ability to work independently and navigate ambiguity.
Qualified Applicants must be legally authorized for employment in the United States.
Qualified Applicants will not require employer sponsored work authorization now or in the future for employment in the United States.

Skills

SQL
Snowflake
dbt
Python
Power BI
Qlik
Salesforce
CRM data
Data modeling
Business intelligence
Analytics engineering
Data mining
Generative AI
Claude Code
GH Copilot
Dimensional modeling
Semantic data models
Data pipelines
Machine learning
Predictive analytics
Segmentation
AI enabled use cases
Enterprise data governance
Prompt engineering
AI-assisted analytics
Predictive modeling
Experimentation frameworks
Model performance evaluation

Location

Raleigh - North Carolina - United States of America

Work Type

Hybrid (Remote/Office)
Full-time
Permanent

Experience Level

Senior
Experienced Professional

Salary/Compensations

$89,795 - $207,767 annually

Benefits

Variety of health and wellness benefits

About the Company

At Siemens, we help organizations transform maintenance and operations through connected insights, AI-powered technology, and intelligent asset management solutions.
Our software enables customers to manage the full lifecycle of assets, facilities, and infrastructure while improving efficiency, reducing risk, and optimizing long-term investments.
By connecting data, people, and processes, we empower organizations to make smarter decisions, maximize asset performance, and achieve more resilient operations.
At Siemens, you'll have the opportunity to grow your career while helping organizations operate smarter, safer, and more sustainably.
We foster a culture of innovation, collaboration, and continuous learning, where employees are empowered to make a difference every day.
If you're excited about solving real-world challenges and shaping the future of asset management, we encourage you to apply.

Equal Opportunity

Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace.
All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law.
Siemens maintains a Drug Free workplace in accordance with applicable law.