Analytics Engineer at Fortive

, , India -

Full Time

Start Date

Immediate

Expiry Date

09 Apr, 26

Salary

0.0

Posted On

09 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Lifecycle, Data Modeling, Data Transformation, Power BI, SQL, Python, PySpark, Data Governance, Data Quality, Business Intelligence, Customer 360, SaaS Applications, Automation, Documentation, Self-Service Analytics, Collaboration, Stakeholder Engagement

Industry

electrical;Appliances;and Electronics Manufacturing

Description

Drive, Don't Wait: Actively seek out business needs, identify opportunities for improvement, and deliver solutions—rather 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. 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.

Responsibilities

The Analytics Engineer will actively seek out business needs and deliver solutions while owning the data lifecycle. They will collaborate with stakeholders to create a unified Customer 360 Single Source of Truth and develop impactful Power BI dashboards.