Senior Analytics Engineer

Role Description

829 is hiring a Senior Analytics Engineer to join our Analytics & AI practice and deliver high-impact BI and data engineering work for our clients. This is a dedicated practice role focused entirely on client engagements, working directly with clients to scope projects, design data architecture, and build solutions that turn raw data into business outcomes.

This is a hands-on, individual contributor role with significant client-facing responsibility. You will:

• Run discovery, define requirements, design data models, build ETL pipelines, develop dashboards, and present insights to client stakeholders ranging from analysts to C-suite executives.
• Own the end-to-end delivery of analytics engagements and serve as the trusted technical advisor to the clients you work with.
• Be comfortable writing SQL and dbt models, leading workshops with a client's marketing leadership team, and working through ambiguous data problems independently.

This role sits within 829's Analytics & AI practice and reports to the SVP of Analytics & AI.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related quantitative field.
• 5+ years of experience in BI solution development and implementation, ideally in a consulting or agency environment.
• Demonstrated experience leading client-facing engagements and presenting to executive stakeholders.
• 3+ years of hands-on Python experience, including data manipulation, automation, and pipeline development.
• 4+ years of strong SQL experience, preferably with Snowflake or BigQuery.
• 4+ years of experience building dashboards and reports in modern BI tools (Tableau, Sigma, or similar).
• Working experience with dbt for data transformation and modeling.
• Proven experience designing ETL processes, data models, and BI solution architectures from the ground up.
• Knowledge of AI/ML operations and experience maintaining models in production.
• Strong problem-solving, communication, and project management skills.
• Ability to work independently and deliver results in ambiguous situations.

Requirements

• Set the technical direction for client engagements and contribute to practice-wide delivery standards.
• Design and implement data architectures for clients using Snowflake, BigQuery, dbt, and modern data stack tools.
• Build and maintain ETL/ELT pipelines using Python, SQL, and orchestration platforms.
• Drive data architecture recommendations and establish best practices across engagements.
• Develop and refine reusable templates, frameworks, and assets that improve delivery speed and quality across the practice.
• Stay current on tooling, techniques, and AI/ML approaches relevant to client work, and bring those forward into engagements where they create value.

Benefits

• Remote Workplace: Option to work at our office in Boston or remotely in various states.
• Paid Time Off: Generous paid vacation benefits that increase each year, 12 Company Holidays, and Summer Fridays from Memorial Day through Labor Day.
• 401K + Match: 401K plan with 4% Safe Harbor employer match after one year of employment.
• Life Insurance Benefit: No-cost coverage to ensure peace of mind for your family.
• Short Term Disability Benefit: Coverage for illness or injury that keeps you out of work.
• Healthcare: Competitive healthcare plans with significant employer coverage.
• Commuter Benefits: Pre-tax funds allocation towards your commute.
• Continuing Education: Access to webinars, learning platforms, and funding for conferences.