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    Job · 18394713

    Ecolab logo

    Principal Insights Engineer

    Ecolab · Pune · onsite · Posted 33d ago

    Undisclosed8–10 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Role Summary
    The Principal Insights Engineer is the senior technical individual contributor responsible for turning analytical technology into scalable, reliable, and usable products for business stakeholders.
    This role sits at the intersection of BI and Data Science with a flavor of Data Engineering; This role focuses on technology innovation, operationalizing forecasting, building internal applications for insight delivery.
    This individual is expected to deliver value by building solutions, interfaces, and pipelines that bring analytical logic to life and allow business users to make better decisions at scale.
    Their focus on the technology space allows them to drive innovation so that project leads, BI Developers, and other technical practitioners can use new tools and technologies to better deliver value to the business.
    Key Responsibilities
    Technical Innovation
    • Grow our ability to deploy ML Models and use the outputs in Business Intelligence tools.
    • Apply new tools or new features to existing business cases to determine the usability
    Insight Product Engineering
    • Convert data science models into production-ready forecasting systems that are versioned, monitored, documented, and reliable.
    • Promote product-level data quality with technical controls such as data quality checks, and automated monitoring to ensure forecasting runs as expected.
    • Prototype new ways of consuming insights that go beyond dashboards.
    • Build and enhance custom data applications (e.g., Streamlit apps or embedded analytics experiences) that make advanced analytics easy for business partners to use.
    • Develop scalable approaches for integrating forecasts and advanced analytics into business workflows.
    Reliability, Observability Maintainability
    • Improve reliability of new analytical solutions by developing monitoring and alerting tools ensure insight products operate consistently.
    • Build tests and right-sized automation to reduce breakage and manual effort.
    • Produce clear documentation for pipelines, interfaces, and forecasting workflows.
    Collaboration Technical Integration
    • Work closely with BI Lab leadership on prioritization and business alignment.
    • Partner with data scientists on inputs/outputs, feature sets, and model expectations.
    • Collaborate with IT and Data Teams to follow guidance on pipelines, compute, and tooling as well as to support scaled development.
    • Ask detailed questions directly to clarify requirements when needed.
    Hands-On Technical Execution
    • Operate as an 50% builder / 50% guide.
    • Deliver usable solutions quickly, with the understanding that internal IT partners can provide architectural refinement over time.
    • Create initial patterns for forecasting, insight delivery, and lightweight applications that can scale as demand grows.
    Required Qualifications
    • 8-10 years of experience in BI tooling and experience with Machine Learning Models or similar roles with strong experience in data/analytics.
    • Demonstrated experience building and deploying production-grade analytical tools. Including Experience operationalizing machine learning or forecasting models.
    • Strong Python and SQL skills and ability to work with complex data structures.
    • Experience implementing data quality checks, monitoring, alerting, or other observability practices.
    • Ability to build internal-facing tools or applications using low code/no code apps
    • Strong communication skills; able to ask clarifying questions and work independently with minimal specification.
    Preferred Qualifications
    • Familiarity with feature engineering pipelines.
    • Exposure to CI/CD concepts for data or application deployment.
    • Experience building internal tools or user interfaces for consuming analytics.
    • Prior work in a global or cross-functional technical environment

    Sourced from naukri

    Skills

    data qualityAutomationforecastsApplication Deploymentfeature engineeringAnalyticsEmbedded SystemsData StructuresdeploymentData EngineeringCommunication SkillsAdvanced AnalyticsBusiness IntelligenceData ScienceForecasting

    About Ecolab

    Ecolab logo

    Ecolab

    Waste Management

    3.8k+

    employees

    Beaver Creek

    US

    About

    A trusted partner for millions of customers, Ecolab (NYSE: ECL) is a global sustainability leader offering water, hygiene and infection prevention solutions and services that protect people and the resources vital to life. Building on a century of innovation, Ecolab has annual sales of $15 billion, employs more than 48,000 associates and operates in more than 170 countries around the world. The company delivers comprehensive science-based solutions, data-driven insights and world-class service to advance food safety, maintain clean and safe environments, and optimize water and energy use. Ecolab’s innovative solutions improve operational efficiencies and sustainability for customers in the food, healthcare, life sciences, hospitality and industrial markets.

    Industries

    Waste Management

    Employee ratings

    220 reviews

    3.4/ 5

    Culture

    3.4

    Career growth

    2.7

    Work-life

    3.6

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