Analytics Engineer
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Monthly Salary:
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
Job Title: Analytics Engineer (Data Analyst & Bi Developer)
Department: IT
Location:Remote
About the Role
This is a high-impact independent contributor role at the heart of our SaaS business transformation. We are seeking a proactive buildernot a passive analystwho will actively seek out opportunities identify gaps and deliver solutions that move the business forward. You will not wait to be told what to do; you will own the data lifecycle and be a key driver of our data strategy. As a key member of a new and growing team youll help establish our single trusted analytical layer within Microsoft Fabric and empower every team member with actionable insights.
We are seeking a proactive buildernot a passive analyst. You will actively identify gaps deliver solutions and drive the data lifecycle. As a key member of a growing team youll help establish our single trusted analytical layer within Microsoft Fabric and empower every team member with actionable insights.
How Youll Make a Difference
- Drive Dont Wait: Actively seek out business needs identify opportunities for improvement and deliver solutionsrather than waiting for assignments.
- Own the Data Lifecycle: Proactively engage with business stakeholders (Sales Finance Customer Success Product etc.) to pull requirements and translate complex business questions into technical data models.
- Single Source of Truth (SSoT): Collaboration with Data Engineer to design develop and maintain a unified Customer 360 Single Source of Truth by integrating and transforming data from diverse SaaS applications (CRM billing CLM product usage etc.).
- BI Development: Build and deploy high-impact Power BI dashboards and reports that visualize key SaaS metrics (MRR Churn CAC LTV product adoption) and drive measurable business outcomes.
- Self-Service Enablement: Develop robust secure and well-documented datasets in Power BI to facilitate self-service analytics and data literacy across the organization.
- Champion Data Stewardship: Promote best practices for data quality documentation and governance ensuring analytical assets are reliable and trusted.
- Data Modeling: Architect and build high-performance structured dimensional models within Microsoft Fabric optimized for analytics.
- Data Transformation: Develop test and deploy production-grade data transformation logic using advanced SQL and Python/PySpark Notebooks.
- Automation (Bonus): Familiarity with Microsoft Power Apps and Power Automate is a plus helping streamline and automate manual data and reporting workflows.
What You Bring
- Proactive Ownership: You are a self-starter who thrives in ambiguity takes initiative and drives projects independentlywithout waiting for direction.
- 3 years of progressive experience as a Data Analyst BI Developer or Analytics Engineer ideally in a SaaS or technology business.
- Microsoft Data Stack Expertise: Deep hands-on experience with Microsoft Fabric Power BI (advanced DAX modeling security) and advanced SQL.
- Programming Skills: Strong capability in Python/PySpark for data transformation and pipeline development.
- Data Modeling: Expert understanding of dimensional modeling (Kimball methodology) and scalable data warehouse solutions.
- SaaS Metrics: Familiarity with core SaaS/subscription business metrics and the data structures required to calculate them.
- Communication: Exceptional written and verbal communication skills able to bridge technical and business concepts.
- Agile Mindset: Comfortable working in a fast-paced iterative environment and collaborating with cross-functional teams.
Success in This Role Means
- You function as the end-to-end owner of data solutions from requirements gathering to dashboard deployment.
- The Customer 360 SSoT becomes the trusted go-to source for strategic reporting and decision-making.
- Staff spend less time searching for and preparing data and more time solving customer problems.
- Data is accessible reliable and drives the adoption of self-service analytics.
- Measurable improvements in data quality accessibility and dashboard usage.
Required Experience:
IC
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
About Company
Fortive Corporation Overview Fortive’s essential technology makes the world stronger, safer, and smarter. We accelerate transformation across a broad range of applications including environmental, health and safety compliance, industrial condition monitoring, next-generation product d ... View more
