Asana

Asana

Senior Analytics Engineer

Vancouver, BC · Senior

Sponsorship not specified$106k-$120kDetected 1 day ago
GitSQLSnowflakeDatabricksAirflowdbtData EngineeringData ScienceData VisualizationSalesforceMarketoUnityCollaborationPlain Language

Stay score

odds of building a lasting career here

50Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level I · 1×
Level I$84,5101 entry
Level II$109,5952 entries
Level III$134,7013 entries
Level IV$159,7864 entries

$3,595 more$109,595 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $109,595 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · Portland-Vancouver-Hillsboro, OR-WA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 4 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 70%

Of 10 labor certifications old enough to have been used, 3 expired without the employer filing the next step. Median time from filing to decision: 486 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

8 transfer filings in the last year, covering 8 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

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About the role

  • You consume governed Silver tables and produce the Gold layer and semantic layer beneath Asana's most important metrics, dashboards, and Genie spaces.
  • This role is based in our Vancouver office with an office-centric hybrid schedule.
  • The standard in-office days are Monday, Tuesday, and Thursday.

Responsibilities

  • Own the Gold layer for a given business domain (e.g.,
  • Build and curate the semantic layer and
  • Build and maintain certified, board-ready dashboards on governed Gold data, partnering with Data Science to translate insight requirements into trusted, reusable products rather than one-off builds.
  • Partner directly with Product & Business, Data Science, and Engineering to turn ambiguous, underspecified questions into scalable datasets - anticipating downstream reporting impacts before they become incidents, and raising the data-model quality bar across the domains you touch.

Nice to have

  • Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
  • 4+ years in analytics engineering, data engineering, or a closely related analytics role, with a track record of independently owning the data models a team relies on for decisions.
  • Hands-on experience with a transformation framework (dbt or equivalent), orchestration tooling (e.g. Airflow), version control (Git), and modern warehouse/lakehouse platforms (Databricks experience preferred).
  • Practical experience with data quality testing and observability, schema management and data contracts, and query/model performance and cost tuning.

Skills

  • Generous, transparent and fair compensation system (base salary and RSUs)
  • Health insurance with dental
  • Breakfast and lunch catering on the da ys that you work from the office
  • Home office setup budget
  • Gym/Fitness card
  • Fertility healthcare and family-forming support with Carrot
  • Mental Health Support in Modern Health
  • Group life insurance
  • MacBo oks with all necessary accessories
  • What we'll offer
  • Asana is a leading platform for human + AI collaboration.
  • Millions of teams around the world rely on Asana to achieve their most important goals, faster.

Compensation

  • Generous, transparent and fair compensation system (base salary and RSUs)

Company info

  • Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation.
  • We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly.
  • With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
  • We believe in supporting people to do their best work and thrive.
  • Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company.
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  • We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.

This listing is sourced directly from Asana's careers page and normalized into a canonical job model.