Analytics Engineer

BlueSky Resource Solutions; Dallas (TX); Hybrid; USD 110,000 - 170,000; Full time

Job summary

BlueSky Resource Solutions in Dallas, TX is seeking an experienced Analytics Engineer to join a hybrid team with four days onsite. You will design and optimize analytics assets, collaborate with Sales Operations stakeholders, and leverage modern data stack tools to deliver scalable insights.

Candidates should have 5+ years in analytics/data engineering, strong SQL, hands-on dbt experience, Snowflake, and CI/CD in analytics.

Qualifications

• 5+ years of experience in analytics engineering, data engineering, or advanced business intelligence roles within a modern data stack environment.
• Advanced proficiency in SQL with demonstrated experience building performant, well-modeled analytical datasets.
• Hands-on experience with dbt for analytics-layer modeling, testing, and documentation.
• Experience working with cloud data warehouses, preferably Snowflake, including performance tuning and cost-aware design.
• Strong understanding of analytics engineering best practices, including star and snowflake schema, incremental models, Medallion Architecture.
• Experience working in a CI/CD-driven analytics environment, including version control, code review, and deployment pipeline.
• Proven ability to partner closely with business stakeholders to translate requirements into trusted analytical assets.
• Bachelor’s degree in Analytics, Information Systems, Computer Science, Mathematics, Finance, or equivalent practical experience.

Skills

SQL

dbt

CI/CD

Stakeholder collaboration

Data modeling

Education

Bachelor’s degree in Analytics or related field

Tools

Snowflake

Fivetran

Stitch

Job description

The is a hybrid opportunity with 4-days onsite in Dallas, TX. Candidates MUST be local to the Dallas area. This role is not open to C2C, OPT, or any Visa consideration. No vendor support of any kind allowed.

JOB DESCRIPTIO

NCore Job Requirement

• s5+ years of experience in analytics engineering, data engineering, or advanced business intelligence roles within a modern data stack environmen
• tAdvanced proficiency in SQL with demonstrated experience building performance, well-modeled analytical dataset
• sHands-on experience with dbt for analytics-layer modeling, testing, and documentatio
• nExperience working with cloud data warehouses, preferably Snowflake, including performance tuning and cost-aware desig
• nStrong understanding of analytics engineering best practices, including
• :Star and snowflake schema
• sIncremental model
• nMedallion Architectur
• eExperience working in a CI/CD-driven analytics environment, including version control, code review, and deployment pipeline
• sProven ability to partner closely with business stakeholders to translate requirements into trusted analytical asset
• sBachelor’s degree in Analytics, Information Systems, Computer Science, Mathematics, Finance, or equivalent practical experienc

e
Sales Operations Domain Expertise (Required Emphasi

• s)Proven experience supporting Sales Operations, Revenue Operations, or Commercial Analytics functio
• nsStrong knowledge of sales and revenue data domains, includin
• g:Pipeline and funnel metri
• csBookings, billings, and revenue recognition concep
• tsQuota, attainment, and compensation-related metri
• csForecasting, actuals vs. targets, and variance analys
• isExperience integrating and modeling data from CRM platforms (e.g., Salesforce or simila
• r)Ability to design sales performance and executive dashboards that suppor
• t:GTM leadersh
• ipCapacity planni
• ngTerritory and account analyti
• csComfort working with imperfect or evolving operational data and establishing trust through modeling, validation, and documentati

on
Technical & Platform Ski

• llsAdvanced SQL and data modeling expert
• isedbt (models, tests, macros, docs, exposur
• es)Snowflake (query optimization, warehouse usage patterns, role-based access awarene
• ss)Experience integrating data from SaaS systems using ELT tools (e.g., Fivetran, Stitch, et
• c.)Familiarity with metadata management, data quality checks, and analytical line

age
Professional & Communication Sk

• illsStrong business acumen with the ability to frame data in commercial t
• ermsClear, concise communicator capable of working w
• ith:Sales leader
• shipData engineering and platform t
• eamsAbility to write clear, durable documentation for models, metrics, and assumpt
• ionsHigh attention to detail with a strong bias toward accuracy, consistency, and auditabi
• lityComfortable operating in a federated enterprise environment with multiple upstream sys