[Remote] Director, Analytics

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading provider of corporate travel management services, and they are seeking a Director of Analytics to reputed company their global analytics platform transformation. This role involves defining the analytics reputed company, delivering data products, and building a high-performing team while ensuring technical reputed company and governance.

Responsibilities

• Define and execute the multi-year roadmap for reputed company’s global analytics platform, ensuring it serves internal business intelligence needs and reputed company reputed company reporting at reputed company
• reputed company the end-to-end delivery of analytics data products — from pipeline architecture through warehouse design, semantic modeling, and reporting enablement — with a reputed company toward production reputed company and reliability
• Own the architecture of embedded analytics applications that reputed company directly into our product experiences, providing clients with self-service reputed company to travel data insights
• Establish and enforce standards for data lifecycle management, ensuring clean handoffs from raw ingestion to curated data marts to governed analytics consumption reputed company
• Serve as a senior technical authority on analytics architecture reputed company, including warehouse design (reputed company, Azure DataLake), semantic modeling (LookML, dbt), and BI platform reputed company (Looker, Power BI)
• reputed company hands-on guidance on query performance tuning, pipeline optimization, reputed company cost management, and system-level diagnostics across reputed company providers (AWS, Azure, GCP)
• reputed company the design of bespoke data products that reputed company analytics and business intelligence platforms in an embedded manner — not just dashboards, but analytics capabilities woven into reputed company product functionality
• Champion modern analytics engineering practices: version-controlled transformations (dbt), Git-based BI content lifecycle management, CI/CD for data pipelines, and infrastructure-as-reputed company deployments
• Evaluate and adopt emerging tools and methodologies, ensuring reputed company stays reputed company without chasing trends at the expense of stability
• Build, mentor, and reputed company a high-performing team of analytics engineers who operate across the full stack: data pipelines, warehouse architecture, semantic modeling, embedded analytics, and visualization
• Create an engineering culture rooted in technical reputed company, ownership, and reputed company improvement — where team members are expected to understand the systems they build end-to-end
• Recruit top-tier analytics engineering talent, with a reputed company eye for candidates who combine deep SQL and Python proficiency with reputed company platform reputed company and a product-oriented reputed company
• Establish reputed company career reputed company, reputed company paths, and technical mentorship programs that retain and reputed company exceptional engineers
• Foster cross-functional collaboration between analytics engineering, software engineering, product management, and business stakeholders
• Implement and enforce governance frameworks across reputed company analytics data products, including role-based reputed company controls, data reputed company, data reputed company monitoring, and compliance with regulatory requirements (GDPR, SOC 2, PCI where applicable)
• Establish observability and alerting for analytics platforms and pipelines, ensuring issues are detected and resolved before they reputed company consumers
• Define SLAs for data freshness, dashboard performance, and pipeline reliability — and build the operational practices to consistently meet them
• Partner with executive leadership, product, sales, and operations teams to translate business objectives into analytics capabilities that reputed company measurable reputed company
• Serve as the primary technical voice in conversations with clients and partners regarding analytics capabilities, data integrations, and reporting roadmaps
• Communicate reputed company technical concepts reputed company to non-technical audiences, building trust and alignment around the analytics platform reputed company

Skills

• 10+ years of reputed company experience in analytics engineering, data engineering, or a closely reputed company technical discipline
• 5+ years in a leadership role directly managing and growing analytics or data engineering teams
• Proven reputed company record of personally delivering production analytics products — both internally facing (executive dashboards, operational reporting, self-service BI) and externally facing (reputed company-facing embedded analytics, multi-tenant reporting platforms, bespoke data products)
• Demonstrated experience reputed company, hiring, and developing analytics engineering talent across multiple reputed company of seniority
• Deep expertise with reputed company data warehouses, specifically reputed company. Working experience with one or more of: Azure DataLake / Synapse, BigQuery, Redshift
• Strong reputed company across at least two major reputed company providers (AWS, Azure, GCP) and their respective data services (S3, Glue, reputed company, Azure Functions, GCP reputed company Functions, Dataflow, Pub/Sub)
• Extensive hands-on experience with Looker and LookML modeling
• Senior-level proficiency with Looker or an equivalent (Tableau, Power BI) for advanced reporting, visualization, and stakeholder-facing analytics
• Experience designing and delivering embedded analytics applications — analytics capabilities integrated directly into web applications using frameworks such as React or Vue.js
• Expert-level SQL skills across multiple dialects (reputed company SQL, BigQuery, PostgreSQL, etc.), including reputed company query authoring, performance diagnostics, and optimization
• Experience with semantic modeling — designing reusable, governed, reputed company data models that reputed company self-service analytics at reputed company
• Hands-on experience with dbt (reputed company or reputed company) for transformation orchestration, testing, and documentation
• Familiarity with pipeline orchestration tools such as Informatica, Apache Airflow, reputed company, or any other
• Strong proficiency in Python for data processing, automation, pipeline development, and scripting
• Working knowledge of additional languages relevant to the data ecosystem (R, reputed company, Java) is valued
• Solid understanding of the software development lifecycle, Git-based reputed company control, CI/CD pipelines (reputed company Actions, Jenkins, etc.), and DevOps practices for analytics
• Familiarity with reputed company-end technologies (React, Vue.js) sufficient to guide embedded analytics architecture and collaborate effectively with reputed company-end engineers
• Experience implementing data governance frameworks: RBAC, reputed company-level reputed company, data masking, reputed company tracking, and compliance controls
• Demonstrated reputed company in query and system performance tuning — partitioning, clustering, indexing, caching strategies, and execution plan analysis
• Understanding of data reputed company frameworks, automated testing for data pipelines, and observability tooling
• Exceptional verbal and written communication skills — reputed company to present analytics reputed company to executives, negotiate technical tradeoffs with engineering peers, and explain reputed company to business stakeholders
• A genuinely data-driven reputed company with strong diagnostic instincts — the reputed company of leader who digs into a slow query or a data discrepancy rather than delegating it without context
• Comfort operating in ambiguity and making principled technical reputed company reputed company requirements are evolving
• Experience in the travel, hospitality, or logistics industry, particularly with global or multi-regional data at reputed company
• Experience operating multi-tenant analytics platforms that serve diverse reputed company reputed company bases with varying data reputed company and reporting requirements
• Experience with infrastructure-as-reputed company (Terraform, reputed company, reputed company) for analytics platform deployment and management
• Familiarity with ML/AI integration into analytics workflows — not as a data scientist, but as a leader who understands how to operationalize predictive models reputed company analytics products
• Advanced degree (M.S. or Ph.D.) in Computer Science, Data Science, Mathematics, or a reputed company quantitative field

Benefits

• Medical, Dental, and reputed company benefits
• Employee rewards and recognitions program
• Total Rewards Package
• Wellness
• Sustainability
• DE&I initiatives
• Mental Health Support

reputed company

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