TransUnion

TransUnion

Advisor, Analytics Consulting

Burlington, Canada · Senior

Sponsorship not specifiedDetected 14 days ago
PythonSQLMachine LearningSparkData ScienceStatisticsProject ManagementStakeholder ManagementSASCommunicationCollaborationAdaptabilityHadoop

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odds of building a lasting career here

34Risky
Cap-exempt (no lottery)0
Sponsors this role70
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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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 39 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 76%

Of 17 labor certifications old enough to have been used, 4 expired without the employer filing the next step. Median time from filing to decision: 473 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.

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About the role

  • At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers.
  • Be a part of our Workforce for Good - you'll work with great people, pioneering products and cutting-edge technology.
  • o Data extraction, transformation, and quality assurance

Responsibilities

  • o Analytical design and solution development
  • We recognize that success comes when our associates thrive both professionally and personally; that's why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.
  • Support proposal development, discovery activities, and analytics requirements definition in partnership with Sales and Solution Consultants.
  • Collaborate with DSA analysts to ensure scalable, high-quality delivery while providing technical guidance and oversight.
  • Partner with Sales and Solution Consultants to identify new analytics opportunities and expand client adoption of analytics consulting services.

Nice to have

  • Translate analytical findings into clear, client-relevant recommendations and revenue-oriented business outcomes.
  • Present analytical findings and recommendations to clients, business leaders, and executive stakeholders.
  • Ensure compliance with applicable regulatory, governance, privacy, and model risk management requirements.
  • Contribute to the evolution of the analytics consulting function by helping define scalable engagement models, delivery best practices, and new analytics offerings.
  • Bachelor's degree in Statistics, Mathematics, Economics, Engineering, Finance, Data Science, or a related quantitative field, or equivalent experience.
  • Master's degree or PhD is preferred.
  • Strong understanding of Canadian consumer lending, credit risk management, and business intelligence practices.
  • 8+ years of analytics experience within financial services, risk management, or related industries.

Company info

  • We strive to build an environment where our associates are in the driver's seat of their professional development- while having access to help along the way.

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