[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 reliable models for analytics, collaborating with various teams, and ensuring data reputed company and governance.

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, reputed company, 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

reputed company