Qureos Mentor

Coptic Orphans

<div>
 
 
 Sr. Data Analyst
 
 
 
 
 
 
 
 Purpose of the Job
 
 
 
 The Senior Data Analyst plays a critical role in leading advanced data analysis initiatives that uncover meaningful patterns and trends, supporting data-informed decision-making across the organization. This role involves independently sourcing, transforming, and interpreting diverse datasets and translating findings into clear, actionable insights through advanced visualizations and reports tailored for managers and functional leads. By strengthening our data-driven approach, the Senior Data Analyst will play a pivotal role in turning raw information into measurable improvements that support our mission and align with organizational objectives.
 
 
 
 
 
 
 Essential Functions and Responsibilities
 
 
 <ul>
 <li>
 Partner with directors and managers across departments to proactively identify opportunities where data analytics can enhance operational effectiveness and support business goals.
 </li>
 <li>
 Lead the design, implementation, and deployment of predictive and prescriptive models.
 </li>
 <li>
 Continuously evaluate, refine, and optimize models to improve accuracy, reliability, and business relevance.
 </li>
 <li>
 Translate machine learning outputs into actionable recommendations that support data-informed decisions by directors and managers.
 </li>
 <li>
 Deliver impactful reports, dashboards, and data stories tailored for executive audiences and non-technical stakeholders, clearly linking analytics to strategic recommendations.
 </li>
 <li>
 Design and implement robust data collection strategies from multiple sources (enterprise databases, APIs, external data feeds, unstructured data) while ensuring data integrity and accessibility.
 </li>
 <li>
 Lead data cleaning, transformation, and validation processes, establishing best practices for data quality, governance, and reliability.
 </li>
 <li>
 Drive the development and deployment of predictive and prescriptive models to support strategic planning, resource allocation, and operational optimization.
 </li>
 <li>
 Collaborate with data analysts, developers, and technology leaders to define data architecture, integration requirements, and system implementations.
 </li>
 <li>
 Provide guidance to junior analysts and contribute to building data literacy across teams.
 </li>
 <li>
 Proactively research and recommend emerging data technologies, tools, and practices to strengthen analytical capabilities and maintain competitive advantage.
 </li>
 </ul>
 
 
 
 
 
 Required Education, Experience, Knowledge and Skills
 
 
 <ul>
 <li>
 Bachelor's degree Data Science, Computer Science, Information Systems Management or a related field.
 </li>
 <li>
 3-5 years of relevant professional experience in data analysis, including designing dashboards, delivering reports, and supporting operational or business decisions.
 </li>
 <li>
 Strong programming experience in Python (Pandas, NumPy, Scikit-learn) or R, with advanced SQL skills for complex queries and database management.
 </li>
 <li>
 Demonstrated knowledge of ETL frameworks and data warehousing principles.
 </li>
 <li>
 Strong knowledge of database design, relational and dimensional modeling, and data mining techniques.
 </li>
 <li>
 Hands-on experience applying advanced statistical concepts, supervised/unsupervised learning, and machine learning algorithms to solve real-world business problems.
 </li>
 <li>
 Proven ability to design, implement, and deploy predictive and prescriptive models.
 </li>
 <li>
 Ability to evaluate model performance, optimize accuracy, and translate outputs into actionable business strategies.
 </li>
 <li>
 Strong experience with data visualization tools (Power BI, Tableau, or similar).
 </li>
 <li>
 Familiarity with cloud-based data platforms (Azure, AWS, Google Cloud) and associated analytics services.
 </li>
 <li>
 Experience with web analytics platforms (Google Analytics, Adobe Analytics) is a plus.
 </li>
 <li>
 Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint), as well as Outlook, Teams, and SharePoint.
 </li>
 <li>
 Excellent written and verbal communication skills, with confidence presenting to directors &amp; managers.
 </li>
 <li>
 Ability to translate complex data into clear, actionable insights for diverse audiences.
 </li>
 <li>
 Collaborative mindset and willingness to share knowledge with team members.
 </li>
 <li>
 Proficient in both written and spoken English.
 </li>
 <li>
 Exceptional analytical, problem-solving, and critical-thinking skills.
 </li>
 <li>
 Ability to manage multiple priorities and deliver high-quality work independently.
 </li>
 </ul>
 
 
 
 
 
 Travel and Working requirements
 
 
 <ul>
 <li>
 Limited to typical office environment such as walking, sitting, typing, using office equipment, and occasional lifting of boxes or luggage during travel.
 </li>
 <li>
 Occasional national or international travel may be required.
 </li>
 <li>
 Working out of the official hours and on weekends may be required.
 </li>
 </ul>
 
 
</div>

Sr. Data Analyst

<div>Senior Data Analyst 
 
Purpose of the Job
The Senior Data Analyst plays a critical role in leading advanced data analysis initiatives that uncover meaningful patterns and trends, supporting data-informed decision-making across the organization. This role involves independently sourcing, transforming, and interpreting diverse datasets and translating findings into clear, actionable insights through advanced visualizations and reports tailored for managers and functional leads. By strengthening our data-driven approach, the Senior Data Analyst will play a pivotal role in turning raw information into measurable improvements that support our mission and align with organizational objectives. 
Essential Functions and Responsibilities<ul><li>
Partner with directors and managers across departments to proactively identify opportunities where data analytics can enhance operational effectiveness and support business goals.</li><li>
Lead the design, implementation, and deployment of predictive and prescriptive models.</li><li>
Continuously evaluate, refine, and optimize models to improve accuracy, reliability, and business relevance.</li><li>
Translate machine learning outputs into actionable recommendations that support data-informed decisions by directors and managers.</li><li>
Deliver impactful reports, dashboards, and data stories tailored for executive audiences and non-technical stakeholders, clearly linking analytics to strategic recommendations.</li><li>
Design and implement robust data collection strategies from multiple sources (enterprise databases, APIs, external data feeds, unstructured data) while ensuring data integrity and accessibility.</li><li>
Lead data cleaning, transformation, and validation processes, establishing best practices for data quality, governance, and reliability.</li><li>
Drive the development and deployment of predictive and prescriptive models to support strategic planning, resource allocation, and operational optimization.</li><li>
Collaborate with data analysts, developers, and technology leaders to define data architecture, integration requirements, and system implementations.</li><li>
Provide guidance to junior analysts and contribute to building data literacy across teams.</li><li>
Proactively research and recommend emerging data technologies, tools, and practices to strengthen analytical capabilities and maintain competitive advantage.</li></ul> 
Required Education, Experience, Knowledge, and Skills<ul><li>
Bachelor's degree in Data Science, Computer Science, Information Systems Management or a related field.</li><li>
3-5 years of relevant professional experience in data analysis, including designing dashboards, delivering reports, and supporting operational or business decisions.</li></ul><ul><li>
Strong programming experience in Python (Pandas, NumPy, Scikit-learn) or R, with advanced SQL skills for complex queries and database management.</li><li>
Demonstrated knowledge of ETL frameworks and data warehousing principles.</li><li>
Strong knowledge of database design, relational and dimensional modeling, and data mining techniques.</li><li>
Hands-on experience applying advanced statistical concepts, supervised/unsupervised learning, and machine learning algorithms to solve real-world business problems.</li><li>
Proven ability to design, implement, and deploy predictive and prescriptive models.</li><li>
Ability to evaluate model performance, optimize accuracy, and translate outputs into actionable business strategies.</li><li>
Strong experience with data visualization tools (Power BI, Tableau, or similar).</li><li>
Familiarity with cloud-based data platforms (Azure, AWS, Google Cloud) and associated analytics services.</li><li>
Experience with web analytics platforms (Google Analytics, Adobe Analytics) is a plus.</li><li>
Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint), as well as Outlook, Teams, and SharePoint.</li></ul><ul><li>
Excellent written and verbal communication skills, with confidence in presenting to directors &amp; managers.</li><li>
Ability to translate complex data into clear, actionable insights for diverse audiences.</li><li>
Collaborative mindset and willingness to share knowledge with team members.</li><li>
Proficient in both written and spoken English.</li><li>
Exceptional analytical, problem-solving, and critical-thinking skills.</li><li>
Ability to manage multiple priorities and deliver high-quality work independently.</li></ul> 
Travel and Working Requirements
<ul><li>Limited to a typical office environment, such as walking, sitting, typing, using office equipment, and occasional lifting of boxes or luggage during travel.
</li><li>Occasional national or international travel may be required.</li><li>
Working out of the official hours and on weekends may be required.</li></ul></div>

Senior Data Analyst

<div>Senior Salesforce Developer 
Purpose of the Job
This position is responsible for the design, development, implementation, and maintenance of Coptic Orphans' technology solutions, with a focus on delivering high-quality, efficient, and scalable solutions within the Salesforce CRM platform. The Senior Salesforce Developer brings advanced experience in Salesforce development to handle more complex requirements and ensure rapid, reliable delivery. The role includes providing second-level support for technical issues and inquiries, participating in project planning, conducting quality assurance, and ensuring system availability, reliability, scalability, and security. 
Essential Functions and Responsibilities
<ul><li>Analyze, design, develop, and implement high-quality, efficient, and scalable solutions within the Salesforce platform. Ensure that system functionality meets the needs of all departments while handling more complex use cases and maintaining best practices across the development lifecycle.
</li><li>Conduct testing to ensure system stability and functionality.</li><li>
Provide second-level technical support for system issues and inquiries; troubleshoot and resolve problems in coordination with internal teams and external vendors.
</li><li>Collaborate with internal teams, external vendors, and stakeholders to address system-related challenges, and actively support other developers by sharing expertise, resolving technical issues, and promoting development best practices.</li><li>
Monitor system performance proactively to detect and resolve potential issues.</li><li>
Take initiative in managing assigned project components from start to finish and collaborate with team members to ensure timely, high-quality delivery of tasks and technical solutions.
</li><li>Stay updated with the latest technological advancements and Salesforce trends.</li><li>
Mentor and guide junior developers on best practices and new developments.</li>
Enhance system architecture to maintain compatibility, scalability, and security. 
<li>
</li></ul> 
Required Education, Experience, Knowledge and Skills
<ul><li>Bachelor's degree in Computer Engineering, Computer Science, Information Systems Management, or a related field.
</li><li>3&ndash;5 years of professional experience in Salesforce system development, complex system design, and implementation.
</li><li>Proficient in both written and spoken English.</li><li>
Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint), as well as Outlook, Teams, and SharePoint</li><li>
Strong proficiency in Salesforce development, including Apex, Visualforce, Lightning Components, SOQL, and SOSL.
</li><li>Extensive experience with Salesforce Sales Cloud, Service Cloud, and other relevant Salesforce products.</li><li>
Experience with Salesforce integrations using REST/SOAP APIs, middleware, and data migration tools. In-depth understanding of data modeling, system architecture, security settings, and access controls within the Salesforce platform.
</li><li>Familiarity with Agile/Scrum methodologies and comfort working in iterative, team-based environments.</li><li>
Strong problem-solving and time-management skills, with the ability to handle complex system requirements.</li><li>
Strong attention to detail and commitment to delivering high-quality, maintainable code.</li><li>
Ability to work with internal stakeholders and external vendors to support successful project delivery.
</li><li>Ability to work independently with minimal supervision while staying aligned with team goals and standards.</li><li>
Willingness to support and collaborate with other developers and promote best development practices.</li></ul> 
Travel and Working requirements
<ul><li>Limited to typical office environment such as walking, sitting, typing, using office equipment, and occasional lifting of boxes or luggage during travel.
</li><li>Working out of the official hours and on weekends may be required.</li></ul></div>

Senior Salesforce Developer

Join Coptic Orphans and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Coptic Orphans

ABOUT_COMPANY

Sr. Data Analyst

Senior Data Analyst

Senior Salesforce Developer