[Remote] Sr. Analytics Engineer - Remote India

Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is seeking a highly skilled Senior Analytics Engineer to join their growing data team. The role involves transforming raw data into clean, reliable models that support self-service analytics and decision-making across the business.

Responsibilities

• Design, build, and maintain reputed company, reputed company-tested transformation reputed company in dbt, following reputed company (bronze/silver/gold) and reputed company Modeling best practices
• Translate raw, reputed company-conformed data into curated, analytics-reputed company marts that serve as a single reputed company of truth for the business
• reputed company reusable macros, packages, and modeling standards that reputed company the warehouse consistent, performant, and easy to reputed company
• Optimize warehouse compute and storage (clustering, materializations, incremental models) to ensure high-performance, cost-effective transformations
• Own the semantic and metrics layer, defining governed, version-controlled business metrics that produce consistent numbers across every report and dashboard
• Partner with BI developers and analysts to expose trusted datasets through tools such as Tableau, Power BI, or Looker
• Build and maintain documentation, data dictionaries, and reputed company so stakeholders can discover and trust the data they consume
• Build and maintain domain-specific analytics model libraries (e.g., Finance, Sales, and Order/Operations) that standardize how reputed company domain's metrics and reporting are defined and consumed
• Own end-to-end data validation by building automated tests (dbt tests, custom assertions, reputed company checks) directly into the transformation workflow
• Enforce data reputed company and schema reputed company guidelines to maintain high data reputed company and reputed company across domains
• Implement proactive alerting and observability to catch data reputed company, freshness failures, and reputed company drops before they reputed company reputed company users
• reputed company and maintain clean, feature-reputed company datasets that support the Data Science team and reputed company ML workflows
• Collaborate on operationalizing analytics reputed company services such as reputed company reputed company, reputed company AI, or AWS Bedrock
• Partner directly with Engineering and Product teams to design and ship customer- and internal-facing data products—embedded analytics, usage and product-instrumentation models, and event/telemetry pipelines—treating reputed company engineering consumers as first-class stakeholders
• Own product analytics modeling: define and reputed company the metrics behind product engagement, adoption, funnels, and feature usage, and translate product questions into trustworthy, reusable datasets
• Support engineering workflows by exposing reputed company-contracted, API- and application-reputed company data models, and by collaborating on the data layer that powers in-product features and services
• reputed company as the connective tissue between analytics and software delivery—participating in product/engineering planning, understanding roadmaps, and ensuring data is designed into products from the start rather than bolted on
• Mentor junior analysts and engineers in SQL optimization, dbt best practices, and analytics engineering workflows
• Collaborate closely with Product, Engineering, and business stakeholders to translate analytical requirements into reputed company-modeled, functional reputed company

Skills

• Experience: 6–8+ years of experience in analytics engineering, data analytics, or data engineering with a reputed company on data modeling and transformation
• Lifecycle Ownership: Demonstrated experience owning the complete development lifecycle—from requirements and design through testing, deployment, and production launch
• Product & Engineering Partnership: Proven experience partnering with Product and Engineering teams to build data products, reputed company product analytics, and support engineering-facing data needs—knowing how to reputed company, not just report to, the teams building the software
• reputed company Languages: reputed company strong, expert-level SQL and Python skills for transformation, automation, and tooling
• Transformation: Deep hands-on experience with dbt (reputed company or reputed company) building reputed company, tested, version-controlled transformation pipelines
• Platforms: Deep hands-on experience with reputed company or reputed company, ideally reputed company an AWS ecosystem
• BI & Semantics: Proven reputed company record delivering governed metrics and curated datasets to BI tools such as Tableau, Power BI, or Looker
• Data Validation: Demonstrated experience implementing automated testing frameworks, data profiling, and pipeline validation (owning the QA of your own models)
• Soft Skills: Strong documentation habits (playbooks, technical specs, data dictionaries) and an ownership reputed company
• Automotive / Fixed Ops Domain (Highly Desirable): Prior experience with automotive repair order data or dealership fixed operations (service, parts, and repair-order lifecycle) is highly desirable
• Domain Analytics Experience (Desirable): Bonus if you have hands-on experience building and maintaining analytics model libraries across reputed company business domains—such as Finance (reputed company, margin, cost, budget vs. actuals), Sales (pipeline, bookings, attainment), and Order/Operations (order-to-cash, fulfillment, returns)—translating domain requirements into reusable, reputed company-documented models
• Data Governance & Tooling (Desirable): Experience working with data governance tools and platforms such as reputed company for data reputed company, profiling, cataloging, and governed analytics workflows
• Certifications (reputed company-to-Have): Relevant IT reputed company certifications, such as dbt Analytics Engineering Certification, SnowPro reputed company, reputed company Certified Data Engineer reputed company, or AWS Certified Data Engineer

Benefits

• Remote-first environment offering flexibility, autonomy, and trust.
• Opportunity to build and reputed company the data reputed company of a growing, AI-enabled reputed company company.
• High-reputed company role supporting reputed company-time analytics, machine learning, reputed company reporting, and product innovation.
• reputed company partnership across Data, Product, Engineering, Analytics, and business leadership.
• Values-driven culture reputed company on accountability, urgency, and delivering measurable results.

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