Analytics Engineer II

Job not on LinkedIn

🔥 12 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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TAXWELL

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2003

⚖️ Legal

💸 Finance

💼 Consulting

Legal • Finance • Consulting

TAXWELL is a legal services firm specializing in international and national tax advice, litigation, mergers and acquisitions (M&A), and board room counseling. With over 20 years of experience, the firm consists of tax and corporate lawyers who are well-versed in Supreme Court litigation and have backgrounds in the Big Four accounting firms. TAXWELL is known for its niche focus and quality segment, boasting close cooperation with renowned arbitrators and foreign counsel while maintaining steady autonomous growth.

📋 Description

• Build and maintain reliable, scalable, and well-documented data models supporting reporting, self-service analytics, and business decision-making • Collaborate with data engineers, analysts, data scientists, and business stakeholders to transform raw data into clean, reusable datasets and consistent metrics • Design, build, and maintain data models and transformation pipelines using dbt and Snowflake • Develop and optimize SQL queries and transformations for reporting, analytics, and operational needs • Own assigned work from requirements gathering through development, validation, deployment, and ongoing support • Clarify stakeholder requirements and translate analytical needs into accurate, well-structured datasets and metrics • Partner with data engineers to integrate new data sources and troubleshoot upstream dependencies • Develop and maintain dbt models, macros, automated tests, and documentation • Investigate and resolve data quality issues, troubleshoot transformation failures, and improve query and model performance • Contribute to shared metric definitions and semantic layers • Maintain data definitions, documentation, and lineage for governance and self-service analytics • Participate in code reviews and knowledge-sharing • Use AI-assisted development tools for SQL development, troubleshooting, testing, and documentation, validating generated code and results • Communicate progress, dependencies, and risks, seeking guidance on complex or ambiguous work

🎯 Requirements

• 3–5 years of experience in analytics engineering, data modeling, business intelligence, or a related data role • Strong SQL skills, including complex joins, window functions, aggregations, and query troubleshooting and optimization • Hands-on experience with dbt, including modular models, testing, documentation, and basic Jinja • Experience with Snowflake or a comparable cloud data warehouse • Working knowledge of dimensional modeling, dataset grain, and table relationships • Experience using Git, pull requests, and collaborative code review workflows • Understanding of data quality, automated testing, documentation, governance, and data lineage principles • Ability to independently deliver well-defined work, clarify ambiguous requirements, and troubleshoot data issues • Experience using AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, or similar technologies • Ability to communicate technical concepts effectively to both technical and non-technical audiences • Attention to detail, curiosity, and a proactive approach to problem-solving • Experience with semantic layers, shared metric definitions, or data contracts • Experience with modern BI tools such as Sigma, Omni, Tableau, Power BI, or Looker • Familiarity with data ingestion and integration tools such as Fivetran or Matia • Familiarity with CI/CD workflows and automated deployment of analytics code • Experience with Python for scripting or automation • Familiarity with AWS services used for data integration and processing

🏖️ Benefits

• Supportive, open, and inclusive atmosphere • Equal opportunity employment • Disability assistance and accommodation during the hiring process