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.
You will:
- 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, data scientists to support production-grade analytics and AI applications
Who you are:
We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-starter who loves working with data to build analytical products and trusted datasets that business users can leverage daily to do their jobs better. You are passionate about contributing to a growing team and establishing best practices.
As a Senior Analytics Engineer, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company.
- 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