Senior Analytics Engineer

It's a great feeling to work for a company that does so much good for others around the world!

This is a 100% onsite role. Remote and/or hybrid arrangements will not be considered.

First Day Foundation will not be providing employment VISA sponsorship or STEM OPT Extensions for this role.

Position Summary:

First Day Foundation is seeking an experienced Senior Analytics Engineer to modernize and accelerate our enterprise analytics capabilities. This role is responsible for championing the transformation of organizational data into actionable business intelligence through modern data engineering, analytics, AI-assisted development, executive dashboards, and scalable reporting solutions.

The successful candidate will be technology agnostic—comfortable delivering solutions regardless of the platform. Success is measured by business impact, speed of delivery, and enabling better executive decision-making.

What We’re Looking For:

We're looking for someone with a forward-thinking approach to business intelligence. While experience with specific technologies is valuable, we place greater emphasis on curiosity, adaptability, continuous learning, and the ability to deliver measurable business value through innovative data solutions.

The ideal candidate should:

Solve business problems before recommending technology.

Embrace AI as a force multiplier rather than a future initiative.

Deliver working solutions quickly and iterate based on feedback.

Adapt as enterprise technologies evolve.

Continuously learn and challenge conventional approaches.

Balance architectural discipline with pragmatic execution.

Education:

Bachelor’s degree in Industrial Engineering, Business, Information Systems,

Experience:

1. Minimum of five (5) years of work experience designing, developing, and delivering enterprise analytics, reporting, or business intelligence solutions.
2. Advanced proficiency in SQL, including complex query development, performance optimization, and data transformation.
3. Experience designing and implementing enterprise-scale dashboards, reports, and executive-level data visualizations.
4. Experience working with modern cloud-based data platforms and enterprise data ecosystems.
5. Demonstrated experience integrating data from multiple systems using APIs, REST services, ETL/ELT processes, or other data integration methods.
6. Strong understanding of dimensional data modeling, data warehousing principles, and analytical data architecture.
7. Proven ability to translate complex business requirements into scalable technical solutions and actionable analytics.
8. Excellent written and verbal communication skills, including the ability to present technical concepts to executive and non-technical audiences.
9. Experience partnering directly with senior leadership, business stakeholders, and cross-functional teams to define analytics strategy and deliver business value.
10. Experience collaborating with infrastructure, security, and application teams to establish secure access to enterprise systems, integrate data from multiple sources, and deliver end-to-end analytics solutions.

Preferred Experience:

Experience with one or more of the following technologies or platforms:

Tableau Next Tableau Snowflake Databricks Microsoft  Fabric Power BISalesforce Data Cloud Microsoft Azure Amazon Web Services (AWS)
Python Gitdbt Experience  with modern artificial intelligence and advanced analytics technologies, including:

AI copilots and generative AI tools

Large Language Models (LLMs)
Prompt engineering techniques

Retrieval-Augmented Generation (RAG) architectures

Agentic AI workflows and intelligent automation

Machine learning concepts and foundational predictive analytics

Duties:
1. Understand the Business:
Partner directly with executive leadership and business stakeholders to understand strategic objectives and translate business needs into scalable analytics solutions.
2. Establish Access:
Collaborate with infrastructure, security, and application teams to establish secure access to enterprise systems and data sources.
3. Build the E2E Solution:
Design, develop, and maintain end-to-end analytics solutions, including data ingestion, integration,…