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

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

Position Summary: FirstDay Foundation is seeking an experienced Senior Analytics Engineer to modernize and accelerate our enterprise analytics capabilities. This role is responsible forchampioning the transformation of organizational data into actionable business intelligence throughmodern data engineering, analytics, AI-assisted development, executive dashboards, and scalablereporting solutions.

The successful candidate will be technology agnostic94comfortable delivering solutions regardless ofthe platform. Success is measured by business impact, speed of delivery, and enabling betterexecutive decision-making.

What We92re Looking For: We92re looking for someone with a forward-thinking approach to businessintelligence. While experience with specific technologies is valuable, we place greater emphasis oncuriosity, adaptability, continuous learning, and the ability to deliver measurable business valuethrough 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:Bachelor92s 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, anddata transformation.
3. Experience designing and implementing enterprise-scale dashboards, reports, and executive-leveldata 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 andactionable analytics.
8. Excellent written and verbal communication skills, including the ability to present technicalconcepts to executive and non-technical audiences.
9. Experience partnering directly with senior leadership, business stakeholders, andcross-functional teams to define analytics strategy and deliver business value.
10. Experience collaborating with infrastructure, security, and application teams to establishsecure access to enterprise systems, integrate data from multiple sources, and deliver end-to-endanalytics solutions.

Preferred Experience:

Experience with one or more of the following technologies or platforms:
 Tableau Next
 Tableau
 Snowflake
 Databricks
 Microsoft Fabric
 Power BI
 Salesforce Data Cloud
 Microsoft Azure
 Amazon Web Services (AWS)
 Python
 Git
 dbt

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 scalableanalytics solutions.
2. Establish Access: Collaborate with infrastructure, security, and application teams to establishsecure access to enterprise systems and data sources.
3. Build the E2E Solution: Design, develop, and maintain end-to-end analytics solutions, includingdata ingestion, integration, transformation, semantic modeling, visualization, and executivereporting.
4. Engineer the Integrations and Data Movement: Design, build, and maintain secure dataintegrations, automated data exchanges, data synchronization workflows, and enterprise data relaysbetween business systems using APIs, connectors, cloud services, and other integrationtechnologies.
5. Integrate Enterprise Systems: Integrate and manage data across Salesforce, Workday, Acumatica,Microsoft 365, SharePoint, cloud data platforms, and other enterprise applications.
6. Model the Data: Build scalable semantic data models and reusable datasets that promoteconsistency, governance, and enterprise-wide reuse.
7. Automate Pipelines: Develop and maintain automated data pipelines, reporting workflows, andorchestration processes to improve efficiency, reliability, and delivery speed.
8. Deliver Analytics: Design and deliver executive dashboards, operational reporting, andself-service analytics solutions that drive informed decision-making.
9. Deploy to Digital Displays: Own the publication, deployment, and ongoing operation of executivedashboards and analytics content across web, mobile, and enterprise digital display environments,ensuring information is accurate, current, and reliably displayed to business stakeholders.
10. Apply AI: Evaluate, implement, and optimize AI-assisted analytics capabilities, includingcopilots, large language models (LLMs), prompt engineering, and intelligent workflow automationwhere appropriate.
11. Optimize: Monitor and optimize solution performance, data quality, reliability, and governance across the analytics ecosystem.
12. Enable User Adoption: Provide technical leadership and mentorship to team members whileenabling business users through self-service analytics, training, and adoption of enterprisereporting standards and analytics engineering best practices.
13. Continuous Improvement: Continuously evaluate emerging analytics technologies and identifyopportunities to automate processes, reduce manual effort, and improve analytics capabilities.

Other Responsibilities:

1. Perform other job duties as assigned.

English (United States)

If you like to work with people that believe they can make a difference in the world, this is the company for you!

#LI-Analyst

#LI-Mid-Senior level

#LI-Full-time