Data Analyst Engineer

Job Summary

We are seeking an experienced Data Analyst/Engineer to lead our data infrastructure modernization and analytics transformation initiatives. This strategic role will architect and implement scalable cloud-based solutions that transform data into actionable insights driving organizational impact and supporting our growth objectives. As a technical leader you will design enterprise data systems champion best practices and leverage advanced analytics including machine learning and AI to solve complex challenges in our humanitarian mission to deliver medicines globally.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Strategic Leadership & Architecture

Lead the design and implementation of enterprise data architecture supporting organizational strategy

Define and execute data strategy aligned with organizational objectives

Champion data governance quality standards and best practices across the organization

Evaluate and recommend emerging technologies to enhance data capabilities

Serve as technical advisor to senior leadership on data-related initiatives

Drive data literacy and analytics adoption across functional teams

Data Infrastructure & Engineering

Architect and implement enterprise-scale data solutions using AWS services including S3 Lambda Athena and related technologies

Design and optimize complex ETL/ELT pipelines handling multi-source data integration at scale

Establish automated data quality frameworks monitoring systems and alerting mechanisms

Lead cloud migration initiatives and infrastructure modernization projects

Implement Infrastructure as Code (IaC) using CloudFormation Terraform or similar tools

Design cost-optimization strategies for cloud infrastructure and data storage

Ensure data security compliance and disaster recovery capabilities

Analytics & Strategic Insights

Design and deliver enterprise analytics solutions and executive dashboards using AWS QuickSight

Lead development of organizational KPIs and performance measurement frameworks

Conduct advanced statistical analysis to inform strategic decision-making

Partner with senior leadership to translate business challenges into data-driven solutions

Build self-service analytics capabilities enabling stakeholder independence

Create compelling data narratives and visualizations for board presentations and stakeholder reporting

API Architecture & Integration

Architect and implement enterprise API strategy for data access and system integration

Design RESTful APIs following industry best practices and security standards

Lead integration projects connecting internal systems (Salesforce WordPress WooCommerce) with external platforms

Establish API governance including versioning documentation and lifecycle management

Implement authentication protocols rate limiting and comprehensive error handling

Optimize API performance and scalability for high-volume transactional systems

Machine Learning & AI Leadership

Architect and deploy production-grade machine learning solutions using AWS SageMaker and related services

Lead end-to-end ML lifecycle from problem definition through model deployment and monitoring

Implement MLOps practices including automated retraining A/B testing and performance monitoring

Apply AI/ML to optimize operational efficiency predict demand and enhance decision-making

Evaluate emerging AI technologies and their applicability to organizational challenges

Establish ethical AI practices and model governance frameworks

Enterprise Data Modeling & Architecture

Design and implement enterprise data models supporting analytical and operational workloads

Create and maintain dimensional models (star schema snowflake) optimized for business intelligence

Establish data modeling standards naming conventions and documentation practices

Lead data normalization and denormalization strategies based on use case requirements

Design for scalability handling growth from current volume

Implement advanced optimization techniques including partitioning indexing and query tuning

Team Leadership & Collaboration

Mentor and guide junior data professionals and cross-functional team members

Lead technical design reviews and code review processes

Collaborate with IT leadership on technology roadmap and digital transformation initiatives

Partner with external vendors and consultants on complex technical implementations

Facilitate knowledge sharing through documentation training and best practice dissemination

Big Data & Distributed Systems

Architect solutions for processing and analyzing large-scale datasets (multi-terabyte)

Implement distributed computing frameworks and parallel processing strategies

Design data lake architectures balancing performance cost and accessibility

Leverage big data technologies (Hadoop Spark) when appropriate for workload requirements

Optimize storage and compute resources for cost-effective big data processing

ORGANIZATIONAL RELATIONSHIPS

The Data Analyst/Engineer serves as a critical bridge between technology and mission impact partnering closely with the Chief Operations and Information Officer and senior leadership team to align data strategy with organizational objectives. Internally this role collaborates extensively with program operations staff to understand workflow requirements finance teams on reporting and analytics needs development teams on donor insights and field partners on data collection and systems usage. The position requires strong communication skills to translate complex technical concepts for non-technical stakeholders across all organizational levels from frontline staff to the Board of Directors. Externally the Data Analyst/Engineer manages relationships with technology vendors (including AWS Salesforce and integration platform providers) consultants supporting major initiatives and occasionally engages with partner NGOs and healthcare providers in our global network to ensure data systems effectively support medicine distribution to over 100 countries. This role demands both technical excellence and relational agility to drive digital transformation in a mission-driven collaborative environment

QUALIFICATIONS

To perform this job successfully an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Technical Skills

AWS Cloud Architecture: Expert-level experience designing and implementing solutions with AWS Athena S3 Lambda QuickSight and additional services (Glue EMR SageMaker Step Functions CloudWatch)

Programming & Scripting: Advanced proficiency in Python for data engineering ML/AI development and automation; expert SQL skills including query optimization stored procedures and performance tuning

API Development: Proven experience architecting enterprise API solutions microservices and system integrations; familiarity with API gateway patterns and service mesh architecture

Data Modeling: Deep expertise in dimensional modeling data vault normalization theory and database design patterns for both OLTP and OLAP systems

Big Data Technologies: Hands-on experience with distributed computing frameworks (Spark Hadoop ecosystem) and modern data lake architectures

Machine Learning & AI: Production experience deploying ML models; proficiency with scikit-learn TensorFlow PyTorch or similar; understanding of MLOps principles

DevOps & Infrastructure: Experience with CI/CD pipelines Infrastructure as Code (Terraform CloudFormation) Git workflows and containerization (Docker Kubernetes)

Data Integration: Expertise with ETL/ELT tools data orchestration platforms (Airflow AWS Step Functions) and integration platforms (Zapier MuleSoft)

Professional Experience

7-10 years of progressive experience in data engineering analytics or related technical roles

Demonstrated track record of architecting and delivering enterprise-scale data solutions

Proven experience leading technical initiatives from conception through production deployment

Experience working in cloud-native environments with emphasis on AWS ecosystem

History of delivering measurable business impact through data-driven solutions

Experience partnering with executive leadership and translating business needs into technical strategies

Background in nonprofit healthcare pharmaceutical or mission-driven organizations strongly preferred

Preferred Qualifications

AWS Certifications: Solutions Architect Professional Data Analytics Specialty Machine Learning Specialty or DevOps Engineer Professional

Advanced AWS Experience: Hands-on with Glue EMR Redshift SageMaker EventBridge SNS/SQS CloudFormation/CDK

Enterprise Integration: Experience with Salesforce administration/development WordPress/WooCommerce ecosystems Smartsheet automation

Data Visualization: Proficiency with Tableau Power BI or similar enterprise BI platforms beyond Quick Sight

Programming Languages: Additional languages such as R Java Scala; experience with functional programming concepts

Pharmaceutical/Healthcare: Understanding of pharmaceutical supply chain regulatory compliance (FDA DSCSA) or healthcare data standards (HL7 FHIR)

Nonprofit Sector: Experience with nonprofit operations donor management systems grant reporting or impact measurement

Security & Compliance: Knowledge of HIPAA SOC 2 data privacy regulations (GDPR CCPA)

Agile Methodologies: Experience with Scrum Kanban or other agile frameworks

Thought Leadership: Published articles conference presentations or contributions to open-source projects

Masters Degree: In Data Science Computer Science Statistics or related field

Team Leadership: Experience managing or leading technical teams or major initiatives

EDUCATION AND/OR EXPERIENCE

Bachelors degree in computer science Data Science Statistics Information Systems Engineering or related technical field required

Masters degree in data science Computer Science Applied Statistics or MBA with technical focus strongly preferred

Relevant professional certifications (AWS Google Cloud Azure or specialized data/ML certifications) may substitute for advanced degree with equivalent experience

PharmD (Doctor of Pharmacy) combined with technical experience is highly valued - pharmaceutical domain expertise combined with data engineering skills provides exceptional advantage for understanding our medicine distribution operations regulatory compliance requirements and supply chain complexities

OTHER SKILLS AND ABILITIES

Enter skills that are both related to jobs and can be demonstrated in an interview or on a resume. Character traits that are highly subjective should be avoided. Such as good judgement strong integrity quick learner. Instead the manager should list evidence of these characteristics as the requirement i.e. Evidence of learning multiple systems in short periods of time; Experience in positions requiring independent judgement and evidence of success within those roles

Strategic thinking with ability to align technical solutions to organizational objectives

Exceptional analytical and problem-solving skills with bias toward action

Outstanding communication skills; able to present complex technical concepts to both technical and non-technical audiences including board members and executive leadership

Proven ability to influence and drive change across organizational boundaries

Strong project management skills with ability to manage multiple competing priorities

Leadership and mentoring capabilities; able to guide and develop others

Deep commitment to data quality security and ethical use of information

Self-directed with entrepreneurial mindset; thrives in dynamic mission-driven environments

PHYSICAL DEMANDS

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job the employee is regularly required to stand; walk; sit; use hands to finger handle or feel; reach with hands and arms; and talk or hear. Able to lift 30 pounds. The employee must be able to travel specifically involving long-haul international flights. Specific vision abilities required by this job include close vision color vision and ability to adjust focus during significant computer related work. Employee must be able to read write and speak English fluently.