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Analytics Engineer - Remote

Pay
$105,000–115,000/yearAnnual period assumed — pay source
WHAT WE OFFER: Starting salary range for this role is $105,000-$115,000. Starting offer within that range will factor in work location, skills, background and years of relevant experience Generous benefit package including: Outstanding company contribution towards employee premiums for Medical, Dental and Vision Insurance, PTO, 10 paid Company Holidays, Company paid Life Insurance & more!
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Work setting
Not stated
Employment
Not stated
Education & alternatives
- Ability to learn unfamiliar technologies and business domains quickly - Bachelor's degree in Analytics, Data Science, Computer Science, Information Systems, Mathematics, or a related quantitative field preferred, or equivalent relevant professional experience - Position will be remote (residing anywhere in the United States and authorized to work in the U.S.)

Benefits in the posting

Full benefits wording
  • Generous benefit package including: Outstanding company contribution towards employee premiums for Medical, Dental and Vision Insurance, PTO, 10 paid Company Holidays, Company paid Life Insurance & more!
  • Company laptop, free monthly product allowance and employee discounts

From the employer’s posting.

About BaubleBar

BaubleBar designs accessories that make life more fun.

In the employer’s words · Read in context

Apply at BaubleBar

Posting record

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Status in our records
Live
First seen by us
Oct 21, 202614 days ago
Recorded sightings
17
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 14

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BaubleBar is hiring

1 open job

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Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • BigQuery
  • Databricks
  • dbt
  • Fivetran
  • Looker
  • Power BI
  • Redshift
  • Sigma
  • Snowflake
  • Tableau
Where the posting names them
- Fivetran or another ELT/data integration platform - Python, APIs, SFTP/file-based integrations, or semi-structured data - Retail, e-commerce, wholesale, inventory, supply chain, or financial data
We are seeking an Analytics Engineer to join our Data Analytics team and help build and maintain the data foundation that supports reporting and decision-making across the organization. This is a hands-on, early-to-mid-career role for someone with an excellent foundation in SQL, data modeling, and modern analytics engineering practices. The Analytics Engineer will work closely with analytics leadership to translate business requirements into reliable, scalable data models while developing deeper technical and business expertise. Our current data stack includes Fivetran, dbt, GitHub, Snowflake, and Power BI. Experience with our exact technology stack is not required. Strong technical fundamentals, sound data-modeling instincts, and the ability to learn quickly are more important than experience with a particular platform.
Data Modeling & Analytics Engineering - Write clean, efficient, and maintainable SQL to transform raw business data into reliable, analytics-ready datasets - Develop and maintain staging, intermediate, dimensional, fact, and reporting-layer data models
- Apply dimensional modeling concepts with a strong understanding of grain, relationships, and dependencies - Refactor and improve existing SQL and data models as business requirements evolve - Enhance existing data models for self-service and AI-powered analytics by improving metadata, descriptions, and semantic context for tools such as Snowflake Cortex AI
- Evaluate upstream and downstream dependencies before modifying existing models - Follow established SQL, dbt, documentation, and version-control standards Data Quality & Troubleshooting
WHAT WE WANT TO SEE: Excellent SQL skills are the most important technical qualifications for this position. You should be comfortable working with complex SQL involving joins, CTEs, aggregations, window functions, conditional logic, and multi-step transformations. Just as importantly, you should understand what your SQL is doing to the underlying data and be able to reason about grain, relationships, cardinality, duplication, nulls, and unexpected results.
Excellent SQL skills are the most important technical qualifications for this position. You should be comfortable working with complex SQL involving joins, CTEs, aggregations, window functions, conditional logic, and multi-step transformations. Just as importantly, you should understand what your SQL is doing to the underlying data and be able to reason about grain, relationships, cardinality, duplication, nulls, and unexpected results. Candidates should also have:
- Practical experience using Git for version control and collaborative development - Experience working with a SQL-based cloud data warehouse or relational database - Strong analytical and troubleshooting skills with the ability to break complex data problems into logical, testable steps
Experience with any of the following is helpful, but not required: - dbt or another SQL-based data transformation framework - Snowflake, BigQuery, Redshift, Databricks, or another modern cloud data platform
- dbt or another SQL-based data transformation framework - Snowflake, BigQuery, Redshift, Databricks, or another modern cloud data platform - Power BI, Sigma, Tableau, Looker, or another BI platform
This is a hands-on, early-to-mid-career role for someone with an excellent foundation in SQL, data modeling, and modern analytics engineering practices. The Analytics Engineer will work closely with analytics leadership to translate business requirements into reliable, scalable data models while developing deeper technical and business expertise. Our current data stack includes Fivetran, dbt, GitHub, Snowflake, and Power BI. Experience with our exact technology stack is not required. Strong technical fundamentals, sound data-modeling instincts, and the ability to learn quickly are more important than experience with a particular platform. WHAT WE WANT YOU TO DO:
- Power BI, Sigma, Tableau, Looker, or another BI platform - Fivetran or another ELT/data integration platform - Python, APIs, SFTP/file-based integrations, or semi-structured data
- Snowflake, BigQuery, Redshift, Databricks, or another modern cloud data platform - Power BI, Sigma, Tableau, Looker, or another BI platform - Fivetran or another ELT/data integration platform
- Refactor and improve existing SQL and data models as business requirements evolve - Enhance existing data models for self-service and AI-powered analytics by improving metadata, descriptions, and semantic context for tools such as Snowflake Cortex AI - Build and maintain data-quality tests and documentation

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About the role

We file this job under Analytics Engineer, by the work the posting describes.

Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.

Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.

A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

WHO WE ARE:

BaubleBar designs accessories that make life more fun. Founded in 2010, the Company is known for its statement-making styles that create joy and bring people together. Today, BaubleBar’s unabashedly optimistic perspective can be found across multiple accessory categories that are sold direct to consumer and at 8,500+ retail stores globally.

WHAT WE'RE LOOKING FOR:

We are seeking an Analytics Engineer to join our Data Analytics team and help build and maintain the data foundation that supports reporting and decision-making across the organization.

This is a hands-on, early-to-mid-career role for someone with an excellent foundation in SQL, data modeling, and modern analytics engineering practices. The Analytics Engineer will work closely with analytics leadership to translate business requirements into reliable, scalable data models while developing deeper technical and business expertise.

Our current data stack includes Fivetran, dbt, GitHub, Snowflake, and Power BI. Experience with our exact technology stack is not required. Strong technical fundamentals, sound data-modeling instincts, and the ability to learn quickly are more important than experience with a particular platform.

WHAT WE WANT YOU TO DO:

Data Modeling & Analytics Engineering

  • Write clean, efficient, and maintainable SQL to transform raw business data into reliable, analytics-ready datasets
  • Develop and maintain staging, intermediate, dimensional, fact, and reporting-layer data models
  • Translate business requirements and established architecture into production data models
  • Apply dimensional modeling concepts with a strong understanding of grain, relationships, and dependencies
  • Refactor and improve existing SQL and data models as business requirements evolve
  • Enhance existing data models for self-service and AI-powered analytics by improving metadata, descriptions, and semantic context for tools such as Snowflake Cortex AI
  • Build and maintain data-quality tests and documentation

Development & Version Control 

  • Use Git and GitHub to manage analytics code through branches, commits, pull requests, code reviews, and deployment workflows
  • Develop and test changes before deploying them to production
  • Evaluate upstream and downstream dependencies before modifying existing models
  • Follow established SQL, dbt, documentation, and version-control standards

Data Quality & Troubleshooting

  • Investigate data-quality issues and discrepancies between reporting and source systems
  • Trace data through source, transformation, and reporting layers to identify root causes
  • Troubleshoot failed transformations and scheduled analytics jobs
  • Validate changes and develop sustainable solutions rather than relying on manual fixes or workarounds

Business Intelligence & Business Partnership

  • Support the data and semantic models used for business intelligence and self-service analytics
  • Partner with business stakeholders to understand reporting needs and determine the appropriate underlying data structure
  • Help maintain consistent definitions and calculations for key business metrics
  • Develop an understanding of key business processes across E-Commerce, Wholesale, Merchandising, Marketing, Supply Chain, Operations, and Finance

WHAT WE WANT TO SEE:

Excellent SQL skills are the most important technical qualifications for this position.

You should be comfortable working with complex SQL involving joins, CTEs, aggregations, window functions, conditional logic, and multi-step transformations. Just as importantly, you should understand what your SQL is doing to the underlying data and be able to reason about grain, relationships, cardinality, duplication, nulls, and unexpected results. 

Candidates should also have:

  • Approximately 2-4 years of relevant experience in analytics engineering, data analytics, business intelligence, data engineering, or a related field
  • Strong understanding of relational data and data modeling concepts
  • Experience transforming operational data into structured datasets used for analytics and reporting
  • Practical experience using Git for version control and collaborative development
  • Experience working with a SQL-based cloud data warehouse or relational database
  • Strong analytical and troubleshooting skills with the ability to break complex data problems into logical, testable steps
  • Strong attention to detail and commitment to data accuracy
  • Curiosity about how business processes generate and affect data
  • Ability to learn unfamiliar technologies and business domains quickly
  • Bachelor's degree in Analytics, Data Science, Computer Science, Information Systems, Mathematics, or a related quantitative field preferred, or equivalent relevant professional experience
  • Position will be remote (residing anywhere in the United States and authorized to work in the U.S.)

Experience with any of the following is helpful, but not required:

  • dbt or another SQL-based data transformation framework
  • Snowflake, BigQuery, Redshift, Databricks, or another modern cloud data platform
  • Power BI, Sigma, Tableau, Looker, or another BI platform
  • Fivetran or another ELT/data integration platform
  • Python, APIs, SFTP/file-based integrations, or semi-structured data
  • Retail, e-commerce, wholesale, inventory, supply chain, or financial data
  • NetSuite, Shopify, Amazon, Klaviyo, or similar business platforms 

WHAT WE OFFER:

  • Starting salary range for this role is $105,000-$115,000. Starting offer within that range will factor in work location, skills, background and years of relevant experience
  • Generous benefit package including: Outstanding company contribution towards employee premiums for Medical, Dental and Vision Insurance, PTO, 10 paid Company Holidays, Company paid Life Insurance & more!
  • Company laptop, free monthly product allowance and employee discounts 
Source details

View original posting ↗

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Pay
WHAT WE OFFER: Starting salary range for this role is $105,000-$115,000. Starting offer within that range will factor in work location, skills, background and years of relevant experience Generous benefit package including: Outstanding company contribution towards employee premiums for Medical, Dental and Vision Insurance, PTO, 10 paid Company Holidays, Company paid Life Insurance & more!
Location & working pattern

Anywhere

- Bachelor's degree in Analytics, Data Science, Computer Science, Information Systems, Mathematics, or a related quantitative field preferred, or equivalent relevant professional experience - Position will be remote (residing anywhere in the United States and authorized to work in the U.S.) Experience with any of the following is helpful, but not required:
Work authorization
- Bachelor's degree in Analytics, Data Science, Computer Science, Information Systems, Mathematics, or a related quantitative field preferred, or equivalent relevant professional experience - Position will be remote (residing anywhere in the United States and authorized to work in the U.S.) Experience with any of the following is helpful, but not required:

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