Senior Business Data Analyst - Asset Management Software

Change the future with us.

We are looking for dedicated and talented people who tackle ever-changing challenges, customer needs, and questions from colleagues with clever concepts and creativity. We embrace change and work with curious minds re-inventing the future of work. Join us and let us focus together on what’s truly important: making lives better with new ideas and the latest technology around the world.

What will you do?

Position Overview

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 | You’ll make an impact by:

Business Partnership and Requirements Engineering

• Partner with business stakeholders to understand problems, desired outcomes, success criteria, and business value.
• Handle ongoing business requests as a trusted partner, not a ticket taker, 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.

Data Analysis and Insight Generation

• 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.

Data Products and Business Intelligence

• 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.

Data Modeling and Technical Delivery

• 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.

End to End Solution Ownership

• 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.

Data Quality and Governance

• 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.

Location: This is a REMOTE role, with a preference for those located in or near the Eastern Time Zone due to regular collaboration with global colleagues in Germany. Candidates must be able to sustainably accommodate the working hours required for effective cross-time-zone collaboration.

What will you need to succeed?

Experience & Business Partnership:

• 7+years of experience in data analytics, business intelligence, analytics engineering, or a related field, or equivalent demonstrated experience.
• 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.

Data & Analytics Expertise:

• 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.
• Experience developing dashboards, visualizations, or analytical applications using Power BI, Qlik, or comparable BI platforms.

Platforms & Technology:

• 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.

Core Competencies:

• 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.

You'll Thrive Even More If You Also Bring:

• Experience working in smaller or lean analytics teams where individuals are responsible for multiple stages of the analytics lifecycle, from requirements gathering through solution delivery
• Experience supporting Marketing Analytics or other commercial functions such as Sales, Customer Success, Revenue Operations, or Commercial Finance.
• Hands on experience with Snowflake and dbt or comparable data transformation tooling.
• Python experience for data analysis, automation, or analytical development.
• Experience with go-to-market systems data, such as marketing automation, attribution, and customer success platforms.
• Familiarity with dimensional modeling, semantic data models, and data pipelines.
• Exposure to machine learning, predictive analytics, segmentation, AI enabled use cases, or enterprise data governance.
• Familiarity with prompt engineering, AI-assisted analytics, predictive modeling, experimentation frameworks, or model performance evaluation.
• Experience supporting SaaS, subscription, software, or recurring revenue business models.

What Does Success Look Like?

Within the first 6 to 12 months, the successful candidate should be able to:

• Become a trusted analytics partner capable of independently leading complex business initiatives from discovery through business impact.
• Build trusted relationships with stakeholders at all levels, from field teams to senior leadership, in one or more commercial domains.
• Handle a steady flow of business requests with insights and recommendations that stakeholders act on.
• Turn loosely defined business problems into structured, executable analytical solutions.
• Deliver reliable analysis, data models, and BI solutions with limited day to day support.
• Navigate SI AMS data structures and identify appropriate data sources, models, and dependencies.
• Become a trusted owner of business logic, data investigation, and analytical delivery within assigned domains.
• Collaborate effectively with Data Engineering, Data Science, AI, and other specialist functions.
• Produce clear documentation covering business definitions, data sources, analytical logic, lineage, and solution design.
• Contribute to a scalable and resilient Data & AI environment through strong ownership, reusable solutions, and knowledge sharing.
• Define measurable success criteria and experimentation approaches to evaluate business initiatives, campaigns, and AI-driven solutions

Why you’ll love working for Siemens!

• Freedom and a healthy work- life balance– Embrace our flexible work environment with flex hours, telecommuting and digital workspaces.
• Solve the world’s most significant problems – Be part of exciting and innovative projects.
• Engaging, challenging, and fast evolving, cutting edge technological environment.
• Opportunities to advance your career and mentorship programs on a local and global scale.
• Competitive total rewards package.
• Profit sharing available.
• Rewarding vacation entitlement with the opportunity to buy and sell your vacation depending on your lifestyle.
• Contribute to our social responsibility initiatives focused on access to education, access to technology and sustaining communities and make a positive impact on the community.
• Participate in our celebrations, social events and offsite business events.
• Opportunities to contribute your innovative ideas and get paid for them!
• Employee perks and discounts.
• Diversity and inclusivity focused.

Siemens is proud to be an eight-time award winner of Canada’s Top 100 Employers, Canada’s Greenest Employers 2026 and Canada’s Top Employers for Young People 2026.

[Salary is commensurate with experience, and ranges between $90,000 CAD - $120,000 CAD, excluding benefits.]

# DataAnalyst

About us.

We share our ideas and champion the people behind them.

Siemens Canada is a leading technology company focused on industry, infrastructure, mobility and healthcare. The company’s purpose is to create technology with purpose, transforming the everyday, for everyone, since 1912 in Canada. By combining the real and the digital worlds, Siemens empowers customers to accelerate their digital and sustainability transformations, making factories more efficient, cities more liveable, and transportation more sustainable. A leader in industrial AI, Siemens leverages its deep domain know-how to apply AI – including generative AI – to real-world applications, making AI accessible and impactful for customers across diverse industries. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a leading global medical technology provider pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. In fiscal 2025, which ended September 30, 2025, Siemens Canada generated revenues of approx. $2.3 billion CAD. The company has approximately 4,600 employees from coast-to-coast and 38 office and production facilities across Canada.

To learn more about Siemens Canada, visit our website at www.siemens.ca

While we appreciate all applications we receive, we advise that only candidates under consideration will be contacted.

Siemens is committed to creating a diverse environment and is proud to be an equal opportunity employer. Upon request, Siemens Canada will provide reasonable accommodation for disabilities to support participation of candidates in all aspects of the recruitment process. All qualified applicants will receive consideration for employment.

By submitting personal information to Siemens Canada Limited or its affiliates, service providers and agents, you consent to our collection, use and disclosure of such information for the purposes described in our Privacy Notice available at www.siemens.ca.

Siemens s’engage à créer un environnement diversifié et est fière d’être un employeur souscrivant au principe de l’égalité d’accès à l’emploi. Sur demande, Siemens Canada prendra des mesures d’accommodement raisonnables pour les personnes handicapées, dans le but de soutenir la participation des candidats dans tous les aspects du processus de recrutement. Tous les candidats qualifiés seront pris en considération pour ce poste.

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Job ID

525844

Posted since

15-Oct-2026

Organization

Smart Infrastructure

Field of work

Information Technology

Company

Brightly Software Canada Inc.

Experience level

Experienced Professional

Job type

Full-time

Work mode

Hybrid (Remote/Office)

Employment type

Permanent

Any Siemens location in

• Alberta - Canada
• New Brunswick - Canada
• Nova Scotia - Canada
• Ontario - Canada