Remote Data Science & Analytics Consultant

TransUnion LLC; United States; Remote; USD 72,000 - 80,000; Full time

Benefits offered by this job

Flexible time off

Paid time off

Up to 12 paid holidays per year

Health benefits

Job summary

TransUnion LLC seeks a data analytics consultant to partner with cross-functional client teams on engagements across the United States. You will translate business needs into technical data solutions and support end-to-end deployment of client implementations.

Responsibilities include designing ETL data pipelines, validating data integrations, and collaborating with marketing analytics stakeholders to improve data-driven decisions.

Qualifications

• Bachelor's degree in Data Science, Marketing Analytics, Digital Social Media, or a related field and 3 years of market research analytics experience.
• Required skills include Tableau, ERD Design, DDL Proficiency, Google Analytics, SEO in digital marketing, data analytics, CRM automation, graphic design, video editing, SQL, BigQuery, GCP, ETL methodologies/technologies.

Responsibilities

• Consult with cross-functional client teams on multi-million-dollar engagements.
• Develop end-to-end deployment cycles for client implementations, from post-sales planning to UI delivery.
• Set up, validate, and diagnose ETL integrations using cloud data tools and transform data across sources.

Skills

Tableau

ERD Design

DDL Proficiency

Google Analytics

SEO in digital marketing

Data analytics

CRM automation

SQL

BigQuery

GCP

ETL methodologies

Education

Bachelor's degree in Data Science, Marketing Analytics, Digital Social Media, or a related field

Tools

CRM tools

Data Transformation Tools

Cloud Platforms (GCP)

Job description

TransUnion LLC seeks a data analytics consultant to partner with cross-functional client teams on engagements across the United States. You will translate business needs into technical data solutions and support end-to-end deployment of client implementations.

Responsibilities include designing ETL data pipelines, validating data integrations, and collaborating with marketing analytics stakeholders to improve data-driven decisions.