Senior Analytics Engineer: Data Solutions Lead

Slalom; Boston (MA); Hybrid; USD 116,000 - 145,000; Full time

Benefits offered by this job

Paid time off

Parental leave

401(k) with match

Health, dental, & vision coverage

Well-being reimbursement

Job summary

Slalom is seeking an Analytics Engineer to bridge business needs and technical solutions across modern data platforms and semantic layers. You will design, build, and optimize data models and analytics experiences that empower self-service analytics, AI, and cross-platform reporting.

You will collaborate with data engineers, data scientists, and stakeholders to ensure data quality and usable insights, while staying current with evolving analytics technologies and governance practices.

Qualifications

• 5+ years of experience in analytics engineering, data engineering, or a related field.
• 3 - 5 years of leading project teams and complex work streams.
• Proficiency in SQL and/or Python; experience with semantic layer tools and analytics platforms (e.g., dbt, Looker, Power BI, Tableau, Sigma)
• Strong understanding of data modeling, ETL processes, and analytics solution design
• Strong problem-solving skills and the ability to translate business needs into technical solutions
• Fluency in white boarding and design solutions for data mapping and user experience requirements
• Exposure to or interest in AI/ML integration and modern data architectures
• Excellent communication and collaboration skills

Responsibilities

• Design, build, and modernize semantic layers to enable self-service analytics, AI, and cross-platform reporting
• Design and develop data-rich applications that blend standard software (Power BI, Tableau, Sigma, or similar) with open-source technologies (e.g., Streamlit)
• Facilitate design and requirements sessions with business and technical teams, translating insights into actionable data models and technical solutions
• Develop and optimize data models using SQL, Python, or other relevant languages
• Collaborate with data engineers, data scientists, and stakeholders to ensure data quality, usability, and alignment with business goals
• Implement best practices for data integration, governance, and analytics enablement
• Contribute to the delivery of integrated analytics experiences, moving beyond traditional dashboards to deliver holistic, user-centered solutions
• Stay current with emerging tools and techniques in analytics engineering, AI, and data platforms

Skills

SQL

Python

semantic layer

Analytics design

Data modeling

ETL processes

Communication

Team leadership

Tools

dbt

Looker

Power BI

Tableau

Sigma

Job description

Slalom is seeking an Analytics Engineer to bridge business needs and technical solutions across modern data platforms and semantic layers. You will design, build, and optimize data models and analytics experiences that empower self-service analytics, AI, and cross-platform reporting.

You will collaborate with data engineers, data scientists, and stakeholders to ensure data quality and usable insights, while staying current with evolving analytics technologies and governance practices.