[Hiring] Senior Analytics Engineer @Aimpoint Digital

Role Description

Do you enjoy working with clients from different industries to investigate complex business problems and designing end-to-end analytical solutions that will improve their existing processes and ability to derive data-driven insights?

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data analytics & engineering space to solve our clients' toughest business problems. At Aimpoint Digital, we believe in blending modern tools and techniques with tried-and-true principles to deliver optimal analytics solutions.

• Become a trusted advisor working together with our clients, partnering with data owners, analysts, business users, and executive stakeholders to translate business needs into scalable analytics solutions.
• Work independently as part of a small team to solve complex analytics engineering use-cases across a variety of industries.
• Design and develop the analytical layer, including curated data models, semantic layers, metrics definitions, and transformation pipelines that power reporting, dashboards, self-service analytics, and AI use cases.
• Work with modern tools such as Snowflake, Databricks, Fivetran, and dbt and credentialize your skills with certifications.
• Write high-quality code in SQL, Python, and Spark, and use software engineering tools and best-practices such as Git and CI/CD.
• Contribute to best practices around analytics engineering - data modeling, metric standardization, data quality, and governance.
• Accelerate analytics development velocity and improve solution quality by using AI-assisted engineering workflows and tools such as Codex, Claude, Copilot, and platform-native assistants like Snowflake Cortex Code and Databricks Genie Code.
• Partner closely with data engineers, analysts, and data scientists to support production-grade analytics and AI applications.

Qualifications

• Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience.
• Experience with managing stakeholders and collaborating with customers.
• Strong written and verbal communication skills required.
• 3+ years working with relational databases and query languages, with deep expertise in SQL.
• 3+ years of data modeling experience, including dimensional modeling, star schema, entity-relationship design, and analytics-focused modeling best practices.
• 3+ years building data pipelines in production, with the ability to work across structured, semi-structured, and unstructured data.
• 3+ years writing clean, maintainable, and robust code in SQL and/or Python.
• 2+ years' experience with dbt Core and/or dbt Cloud required.
• Ability to manage an individual workstream independently.
• Expertise in software engineering concepts and best practices, including version control, testing, documentation, and CI/CD.
• Experience working with cloud data warehouses (Databricks, Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) preferred.
• Experience working with other cloud ETL/ELT tools (Fivetran, Matillion, Informatica, Talend, etc.) preferred.
• Experience working with cloud platforms such as AWS, Azure, or GCP preferred.
• Experience defining metrics, semantic layers, and reusable business logic for analytics consumption preferred.
• Familiarity with modern BI and visualization platforms such as Power BI, Tableau, or Sigma preferred.
• Experience enabling or accelerating analytics engineering workflows with AI tools such as Codex, Claude, Copilot, Snowflake Cortex Code, and/or Databricks Genie Code preferred.
• Consulting experience strongly preferred.

Benefits

• We are actively seeking candidates for full-time, remote work within the US and UK.
• Atlanta and London applicants will have the opportunity to work in our regional offices.