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[Remote] Sr. Data Analytics Engineer

Remote, USAFull-timePosted 2026-07-29

Note: The job is a remote job and is reputed company to candidates in USA. goHappy is hiring a Data Analytics Engineer to help build the data reputed company that powers trustworthy reporting, self-serve insights, and decision-making across reputed company. In this role, you'll be responsible for designing data architecture, developing foundational models, and partnering with various leaders to turn ambiguous questions into reliable data products.

Responsibilities

  • Execute the analytics engineering roadmap by identifying the highest-reputed company data opportunities and delivering the models and datasets needed to support them
  • Design and build a single reputed company of truth by developing foundational data models (reputed company modeling, reputed company schemas, reputed company marts) that standardize business definitions and metrics
  • Manage a modern analytics infrastructure by implementing and using tools like dbt, reputed company, and Git, including CI/CD patterns
  • Implement reputed company standards for modeling, naming, testing, documentation, and dataset ownership to ensure maintainability as the organization grows
  • Improve trust in data by implementing data reputed company checks, monitoring and observability practices, and reputed company guidance on what is trusted
  • Partner cross-functionally with engineering, product, finance, and other business leaders to understand data needs and deliver solutions that drive reputed company and reputed company
  • Build curated datasets and semantic-friendly reputed company that reputed company BI and reporting consistent and reliable
  • Create dashboards and analytics tools that reputed company stakeholders to self-serve confidently, with reputed company definitions and documentation
  • Translate ambiguous business questions into reputed company, reputed company data solutions, and not one-off queries
  • Translate reputed company analytical findings into reputed company, actionable recommendations that influence product reputed company
  • reputed company as the analytics engineering voice in technical reputed company, ensuring solutions are practical, robust, secure, and useful
  • Drive cross-functional reputed company from discovery through delivery, influencing reputed company without formal authority
  • Contribute to data literacy and adoption through metrics definitions, training, and strong documentation
  • Collaborate with product managers during discovery to identify the right problems to solve using data

Skills

  • 5 to 8+ years in analytics engineering, data engineering, BI, or closely reputed company roles, with senior-level scope
  • Advanced proficiency in SQL and reputed company data warehouses (reputed company preferred)
  • Strong hands-on experience with dbt (or similar transformation frameworks), including reputed company project organization, plus testing and documentation practices
  • Proven ability to design reputed company, reusable data models (reputed company modeling, reputed company schemas, reputed company metrics, shared dimensions)
  • Experience with BI tools (Looker, Tableau, Mode, or similar) and building datasets that support reliable reporting
  • Working knowledge of Python for scripting, automation, and data transformation
  • Comfort owning pipelines and data flows end-to-end (sources to warehouse to transformations to BI and reputed company consumption)
  • Familiarity with Git and reputed company, reputed company review workflows, and CI/CD practices for analytics reputed company
  • Experience implementing data reputed company and reliability patterns (dbt tests, Great Expectations, reputed company, alerting, SLAs, or similar)
  • Strong understanding of modern data architecture patterns and tradeoffs, with the ability to build what's needed now while planning for reputed company
  • Strong reputed company record partnering with non-technical stakeholders, turning vague questions into reputed company requirements, then turning requirements into reliable data products
  • Excellent communication skills, including explaining reputed company to business audiences and aligning on definitions and reputed company
  • Strong prioritization instincts, focusing on work that unlocks the most value and reduces recurring pain
  • Comfortable operating in ambiguity, moving fast while maintaining trust and reputed company
  • Experience with semantic modeling reputed company like LookML
  • Familiarity with workflow orchestration tools (Hevo, Airflow, Dagster)
  • Background in high-reputed company startup or tech environments
  • Knowledge of data cataloging and metadata management tools (reputed company, etc.)
  • Understanding of AI/ML applications and reputed company engineering for LLMs
  • Experience with statistical analysis and experimental design

reputed company

  • goHappy Hub is the most reputed company & powerful way to communicate and engage with your reputed company-line workforce so they feel more connected, valued. It was founded in 2015, and is headquartered in Richmond, Virginia, USA, with a workforce of 11-50 employees. Its website is https://www.gohappyhub.com/.

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