Senior Analytics Engineer

ID.me

$225K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent in a quantitative field such as Computer Science, Analytics, Engineering, Math, Physics, or Statistics
  • 5+ years of progressive experience as a Senior Analytics Engineer or similar role
  • Expertise in Data Analytics and SQL (5 years of experience)
  • 3 years of experience with Data Warehousing technologies like Snowflake, Redshift, or BigQuery
  • Hands-on experience with dbt for building data models and implementing SQL best practices.

Responsibilities

  • Support the data infrastructure using Snowflake, dbt, Sigma, and GCP services
  • Educate teams on analytical methods to enhance business decision-making
  • Research and implement best practices in data management
  • Collaborate with data analysts, engineers, and scientists on building reusable data infrastructure
  • Lead initiatives to foster a data-driven culture through self-service analytics
  • Provide mentoring and technical guidance to data analysts.

Benefits

  • Mentorship and training opportunities for professional growth
  • Collaborative work environment with a focus on data-driven culture
  • Exposure to advanced tools and technologies in the analytics field
  • Opportunities to travel for conferences and office visits within the U.S.
Full Job Description


TITLE: Senior Analytics Engineer

EMPLOYER: ID.me, LLC (formerly known as: ID.me, Inc.)

LOCATION: Mountain View, CA

DUTIES: Support our data infrastructure which includes Snowflake, dbt, Sigma, and GCP services. Educate the organization on analytical approaches to drive business decisions. Research, design, and implement best practices in managing data platforms. Partner with data analysts, engineers, and scientists to build reusable data infrastructure, analytics, dashboards, and models. Lead transformational efforts to build a data driven culture at ID.me by enabling data self-service. Provide technical guidance, mentorship, coaching and/or training to data analysts.

REQUIREMENTS: Bachelor's degree or equivalent in Computer Science, Analytics, Engineering, Math, Physics, Statistics, or related quantitative field and five (5) years of progressive, post-baccalaureate experience as a Senior Analytics Engineer or any occupation related to database architecture.

Must have five (5) years of experience with: (1) Data Analytics and (2) SQL.

Must have three (3) years of experience with: (1) Data Warehousing technologies such as Snowflake, Redshift, or Bigquery; (2) Building transformational data models in dbt (Data Build Tool) and Snowflake; (3) Implementing best practices in SQL modeling; (4) Automating and integrating code changes and updates in CI/CD frameworks; (5) Developing data architecture and design; (6) Utilizing visualization/reporting tools including Sigma, Tableau, or Looker.

All offers of employment are contingent upon the successful completion of a background check and successfully passing assigned AI proficiency testing.

TRAVEL: Travel required up to 10% of the time to ID.me's office locations and conferences within the U.S.

SALARY: $225,000 per year

TO APPLY: Select "Apply" on this page and follow the prompts to attach resume and submit.

JOB CODE: ID200

ID.me is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA; Mountain View, CA; New York City, NY; or Tampa, FL. Certain roles - such as field-based sales or other remote-by-design positions - may have different work arrangements as noted in their individual postings.

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