Senior Analytics Engineer

About this role

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. You will own the end-to-end delivery of analytics engagements and serve as the trusted technical advisor to the clients you work with.

The right candidate is equally comfortable writing SQL and dbt models, leading a workshop with a client's marketing leadership team, and working through ambiguous data problems independently. You bring strong consulting instincts, deep technical expertise, and the discipline to ship great work in a fast-moving environment.

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

What You'll Do

Client Delivery & Consulting (65%)

Lead BI and analytics engagements from discovery through delivery, serving as the primary technical and strategic point of contact for the clients you support.

- Run discovery sessions, stakeholder interviews, and workshops to surface business priorities and translate them into analytics requirements.

- Partner with clients to define project scope, success criteria, deliverables, and timelines.

- Build and maintain trusted advisor relationships with client stakeholders, from in-house analytics teams to executive sponsors.

- Translate business questions into data and analytics solutions that drive decisions.

- Develop dashboards, reports, and analyses using tools like Tableau and Sigma.

- Conduct deep-dive data analysis and present findings to client audiences, including executive readouts, quarterly reviews, and strategic planning sessions.

- Provide ongoing advisory support on measurement strategy, KPI definition, and analytics roadmap planning.

- Manage scope, timeline, quality, and client communication across multiple concurrent engagements.

- Identify expansion opportunities within active accounts and partner with the SVP of Analytics & AI to scope follow-on work.

Technical Architecture & Engineering (35%)

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.

Qualifications and Skills

Must Haves:

- 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.

Nice to Haves:

- Master's degree in a relevant field.

- Experience with cloud platforms (AWS, Azure, or GCP) and data governance frameworks.

- Certifications in Snowflake, Python, Tableau, dbt, or other relevant BI tools.

- Prior consulting experience on data and analytics projects.

- Familiarity with fast-paced, high-tech environments.

Benefits and Perks We Provide

- Remote Workplace. You have the option to work at our office in Boston or remotely in one of these states: AZ, CA, CO, CT, FL, ID, IL, KY, ME, MD, MA, MI, MO, NV, NH, NJ, NY, NC, SC, OH, OK, PA, RI, TN, TX, UT, VA.

- Paid Time Off. Receive generous paid vacation benefits that increase each year you’re with us, 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 and financial literacy services provided through our retirement provider.

- Life Insurance Benefit. No-cost coverage to ensure peace of mind for your family.

- Short Term Disability Benefit. We've got you covered if you need to be OOO with an illness or injury that keeps you out of work.

- Healthcare. Choose from several competitive healthcare plans for you and your family with 80% employer coverage for all medical and dental premiums, 100% employer coverage for vision, and the option to participate in the FSA program.

- Commuter Benefits. Allocate pre-tax funds towards your commute to save up to 40% per year in transportation expenses.

- Continuing Education. Access to monthly team-led webinars, exclusive 829-cohort based learning, digital course platforms, and funding opportunities to attend national conferences and events.

What We…