Senior Data Analyst

Coptic Orphans

Essential Functions and Responsibilities

• Partner with directors and managers across departments to proactively identify opportunities where data analytics can enhance operational effectiveness and support business goals.
• Lead the design, implementation, and deployment of predictive and prescriptive models.
• Continuously evaluate, refine, and optimize models to improve accuracy, reliability, and business relevance.
• Translate machine learning outputs into actionable recommendations that support data-informed decisions by directors and managers.
• Deliver impactful reports, dashboards, and data stories tailored for executive audiences and non-technical stakeholders, clearly linking analytics to strategic recommendations.
• Design and implement robust data collection strategies from multiple sources (enterprise databases, APIs, external data feeds, unstructured data) while ensuring data integrity and accessibility.
• Lead data cleaning, transformation, and validation processes, establishing best practices for data quality, governance, and reliability.
• Drive the development and deployment of predictive and prescriptive models to support strategic planning, resource allocation, and operational optimization.
• Collaborate with data analysts, developers, and technology leaders to define data architecture, integration requirements, and system implementations.
• Provide guidance to junior analysts and contribute to building data literacy across teams.
• Proactively research and recommend emerging data technologies, tools, and practices to strengthen analytical capabilities and maintain competitive advantage.

Required Education, Experience, Knowledge, and Skills

• Bachelor's degree in Data Science, Computer Science, Information Systems Management or a related field.
• 3-5 years of relevant professional experience in data analysis, including designing dashboards, delivering reports, and supporting operational or business decisions.
• Strong programming experience in Python (Pandas, NumPy, Scikit-learn) or R, with advanced SQL skills for complex queries and database management.
• Demonstrated knowledge of ETL frameworks and data warehousing principles.
• Strong knowledge of database design, relational and dimensional modeling, and data mining techniques.
• Hands-on experience applying advanced statistical concepts, supervised/unsupervised learning, and machine learning algorithms to solve real-world business problems.
• Proven ability to design, implement, and deploy predictive and prescriptive models.
• Ability to evaluate model performance, optimize accuracy, and translate outputs into actionable business strategies.
• Strong experience with data visualization tools (Power BI, Tableau, or similar).
• Familiarity with cloud-based data platforms (Azure, AWS, Google Cloud) and associated analytics services.
• Experience with web analytics platforms (Google Analytics, Adobe Analytics) is a plus.
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint), as well as Outlook, Teams, and SharePoint.
• Excellent written and verbal communication skills, with confidence in presenting to directors & managers.
• Ability to translate complex data into clear, actionable insights for diverse audiences.
• Collaborative mindset and willingness to share knowledge with team members.
• Proficient in both written and spoken English.
• Exceptional analytical, problem-solving, and critical-thinking skills.
• Ability to manage multiple priorities and deliver high-quality work independently.

Travel and Working Requirements

• Limited to a typical office environment, such as walking, sitting, typing, using office equipment, and occasional lifting of boxes or luggage during travel.
• Occasional national or international travel may be required.
• Working out of the official hours and on weekends may be required.