Analytics Engineer (Sales Ops)

BlueSky Resource Solutions; Suwanee (GA); Hybrid; USD 110,000 - 160,000; Full time

Job summary

BlueSky Resource Solutions in Georgia is hiring a senior analytics engineer to design and deliver scalable data assets within a modern data stack. You will translate business needs into trusted analytical models and dashboards by partnering with Sales Operations and analytics teams.

The role requires advanced SQL, hands-on dbt experience, and deep knowledge of Snowflake, ELT tools, and data modeling practices.

Qualifications

• 5+ years of analytics engineering, data engineering, or advanced BI roles in a modern data stack.
• Advanced SQL with experience building performant analytical datasets.
• Hands-on dbt experience for analytics-layer modeling, testing, and documentation.

Skills

SQL

dbt

Snowflake

Data modeling

ELT tooling

CI/CD in analytics

Stakeholder collaboration

Analytics engineering

Education

Bachelor’s degree in Analytics, Information Systems, Computer Science, Mathematics, Finance, or equivalent

Tools

Fivetran

Stitch

Git

CI/CD tooling

Job description

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

JOB DESCRIPTION

Core Job Requirements

• 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 performance, 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 schemas
• Medallion Architecture
• Experience working in a CI/CD-driven analytics environment, including version control, code review, and deployment pipelines
• 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

Sales Operations Domain Expertise (Required Emphasis)

• Proven experience supporting Sales Operations, Revenue Operations, or Commercial Analytics functions
• Strong knowledge of sales and revenue data domains, including:
• Pipeline and funnel metrics
• Bookings, billings, and revenue recognition concepts
• Quota, attainment, and compensation-related metrics
• Forecasting, actuals vs. targets, and variance analysis
• Experience integrating and modeling data from CRM platforms (e.g., Salesforce or similar)
• Ability to design sales performance and executive dashboards that support:
• GTM leadership
• Capacity planning
• Territory and account analytics
• Comfort working with imperfect or evolving operational data and establishing trust through modeling, validation, and documentation

Technical & Platform Skills

• Advanced SQL and data modeling expertise
• Snowflake (query optimization, warehouse usage patterns, role-based access awareness)
• Experience integrating data from SaaS systems using ELT tools (e.g., Fivetran, Stitch, etc.)
• Familiarity with metadata management, data quality checks, and analytical lineage

Professional & Communication Skills

• Strong business acumen with the ability to frame data in commercial terms
• Clear, concise communicator capable of working with:
• Data engineering and platform teams
• Ability to write clear, durable documentation for models, metrics, and assumptions
• High attention to detail with a strong bias toward accuracy, consistency, and auditability
• Comfortable operating in a federated enterprise environment with multiple upstream systems