TAXWELL
TAXWELL
1 – 10 Xodimlar
HuquqKonsaltingMoliya
TAXWELL xalqaro va milliy soliqqa tortish, soliq nizolari, qo‘shilish va qo‘shib olish bitimlari, shuningdek, direktorlar kengashi darajasidagi masalalar bo‘yicha maslahat beruvchi ixtisoslashgan yuridik xizmatlar firmasidir. 2003-yilda tashkil etilgan firma yigirma yildan ortiq tajribaga ega soliq va korporativ huquq yuristlarini birlashtiradi. Ular orasida Oliy suddagi nizolar bo‘yicha tajribaga ega hamda Big Four buxgalteriya firmalarida ishlagan mutaxassislar ham bor. Firmaning faoliyati nufuzli arbitrajchilar va xalqaro huquq maslahatchilari bilan yaqindan hamkorlikda olib boriladigan murakkab va yuqori qiymatli soliq hamda korporativ masalalarga qaratilgan. TAXWELL barqaror va mustaqil rivojlanishni ko‘zlab, huquq, moliya va konsalting sohalarida faoliyat yuritadi.

Analytics Engineer II, Remote in the United States

Build dbt and Snowflake data models for TAXWELL’s digital tax platform. Create dependable datasets, metrics, and pipelines that support business decisions.

Tavsif

  • Create and maintain reliable, documented data models for reporting, self-service analytics, and business decisions.
  • Work with data engineers, analysts, data scientists, and business stakeholders to turn raw data into reusable datasets and consistent metrics.
  • Build and manage data models and transformation pipelines with dbt and Snowflake.
  • Write and tune SQL queries and transformations for reporting, analytics, and operational use.
  • Manage assigned work from requirements gathering through development, validation, deployment, and ongoing support.
  • Clarify stakeholder needs and turn analytical requirements into accurate datasets and metrics.
  • Coordinate with data engineers to connect new data sources and resolve upstream dependencies.
  • Create and maintain dbt models, macros, automated tests, and documentation.
  • Resolve data quality problems and transformation failures, and improve query and model performance.
  • Help define shared metrics and semantic layers.
  • Keep data definitions, documentation, and lineage current to support governance and self-service analytics.
  • Take part in code reviews and knowledge sharing.
  • Use AI-assisted tools for SQL development, troubleshooting, testing, and documentation, and verify their output.
  • Share progress, dependencies, and risks, and seek guidance on complex or unclear work.

Talablar

  • 3–5 years of experience in analytics engineering, data modeling, business intelligence, or a related data field.
  • Strong SQL skills, including complex joins, window functions, aggregations, query troubleshooting, and optimization.
  • Practical dbt experience, including modular models, testing, documentation, and basic Jinja.
  • Experience with Snowflake or a similar cloud data warehouse.
  • Working knowledge of dimensional modeling, dataset grain, and table relationships.
  • Experience with Git, pull requests, and collaborative code review.
  • Understanding of data quality, automated testing, documentation, governance, and lineage.
  • Ability to deliver well-defined work independently, clarify unclear requirements, and troubleshoot data issues.
  • Experience with AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, or similar.
  • Ability to explain technical concepts to technical and non-technical audiences.
  • Attention to detail, curiosity, and a proactive approach to solving problems.
  • 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 and automated deployment of analytics code.
  • Experience using Python for scripting or automation.
  • Familiarity with AWS services for data integration and processing.

Imtiyozlar

  • A supportive, open, and inclusive workplace.
  • Equal opportunity employment.
  • Disability assistance and accommodations during the hiring process.

O‘xshash ish o‘rinlari

Horace Mann

Director of Analytics Engineering

Horace Mann

Lead analytics engineering for Horace Mann’s Life & Retirement business, shaping its enterprise data warehouse and governed data products. Build cloud data capabilities, guide technical strategy, and develop high-performing teams.

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CompassMSP

Remote Data Analytics Engineer

CompassMSP
201 – 500 Xodimlar
B2BKiberxavfsizlikKonsalting

Build and maintain CompassMSP’s Azure lakehouse and data portal for MSP operations, while moving reporting from legacy SQL Server and Power BI. The role also covers data pipelines, dashboards, internal applications, and AI capabilities.

Ochish