Qureos Mentor

Datamatics Technologies

<div>
 
 Job Description: Senior Data Analyst (12+ Years Experience)
 
 
 Role Summary
 
 
 We are seeking a highly experienced
 
 Senior Data Analyst
 
 with 12+ years of expertise in data analysis, reporting, and business intelligence. The role involves translating complex datasets into actionable insights, enabling strategic decision-making, and driving data-driven culture across the organization.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 
 
 Data Analysis
 
 : Analyze large and complex datasets to identify trends, patterns, and anomalies.
 
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 <li>
 
 
 Reporting &amp; Dashboards
 
 : Design, develop, and maintain interactive dashboards and reports using BI tools (Power BI, Tableau).
 
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 <li>
 
 
 KPI Definition
 
 : Define, monitor, and refine KPIs and business metrics aligned with organizational goals.
 
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 <li>
 
 
 Stakeholder Collaboration
 
 : Partner with business stakeholders to gather requirements and deliver tailored analytical solutions.
 
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 Data Quality
 
 : Ensure accuracy, consistency, and integrity of data across multiple systems.
 
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 Strategic Insights
 
 : Translate analytical findings into actionable recommendations for leadership.
 
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 Documentation
 
 : Prepare functional specifications, data dictionaries, and process documentation.
 
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 Mentorship
 
 : Guide junior analysts and contribute to building analytical capabilities within the team.
 
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 </ul>
 
 Required Skills
 
 <ul>
 <li>
 
 
 Advanced SQL
 
 : Expertise in writing complex queries, stored procedures, and performance optimization.
 
 </li>
 <li>
 
 
 Excel Mastery
 
 : Strong proficiency in advanced formulas, pivot tables, macros, and data modeling.
 
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 BI Tools
 
 : Hands-on experience with Power BI, Tableau, or equivalent visualization platforms.
 
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 <li>
 
 
 Analytical Thinking
 
 : Ability to interpret data, identify trends, and provide actionable insights.
 
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 <li>
 
 
 Visualization Skills
 
 : Expertise in designing intuitive and impactful dashboards and reports.
 
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 Data Governance
 
 : Understanding of data quality frameworks, lineage, and compliance standards.
 
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 Communication
 
 : Strong ability to present complex findings to non-technical stakeholders, including senior leadership.
 
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 <li>
 
 
 Domain Knowledge
 
 : Experience working across industries with exposure to finance, operations, or customer analytics.
 
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 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 
 Experience with
 
 cloud data platforms
 
 (Azure, AWS, GCP).
 
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 <li>
 
 Knowledge of
 
 Python/R
 
 for advanced analytics and automation.
 
 </li>
 <li>
 
 Familiarity with
 
 machine learning concepts
 
 for predictive insights.
 
 </li>
 <li>
 
 Proven track record of
 
 leading data projects
 
 and driving adoption of BI solutions.
 
 </li>
 </ul>
</div>

Senior Data Analyst

<div>
 Job Title: AI Architect
 
 
 Level:
 
 Senior / Principal
 
 
 Employment Type:
 
 Full-time
 
 
 Experience
 
 : 6+ Years
 
 
 Location
 
 : Islamabad (Onsite)
 
 Role Overview
 
 We are seeking a
 
 high-level AI Architect
 
 to serve as a
 
 Senior Solution Architect
 
 for our real-time automation and intelligence ecosystem. This role is both
 
 strategic and hands-on at the architectural level
 
 , acting as a technical mentor and trusted advisor to engineering teams.
 
 
 You will be responsible for defining and evolving the
 
 enterprise architecture
 
 that underpins real-time data processing, automation, and AI/ML workflows. The role requires a visionary mindset, strong problem-solving capability, and the ability to design scalable, future-ready systems that support complex, high-throughput AI use cases.
 
 Key Responsibilities
 
 
 Solution Mentorship &amp; Technical Leadership
 
 
 <ul>
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 Act as a technical authority and mentor for engineering teams
 
 </li>
 <li>
 
 Guide best practices for real-time data streaming, event-driven architectures, and low-latency processing
 
 </li>
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 Review designs and implementations to ensure architectural consistency and technical excellence
 
 </li>
 </ul>
 
 
 Architecture &amp; Gap Analysis
 
 
 <ul>
 <li>
 
 Analyze existing platforms to identify architectural gaps, performance bottlenecks, and scalability risks
 
 </li>
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 Design and propose robust, enterprise-grade architectural improvements
 
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 Define target-state architectures aligned with long-term business and AI strategy
 
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 </ul>
 
 
 System Orchestration &amp; Integration
 
 
 <ul>
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 Design and oversee the integration of distributed systems, messaging platforms, and data pipelines
 
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 Ensure seamless, reliable data flow across heterogeneous enterprise systems
 
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 Define standards for system interoperability, resilience, and observability
 
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 </ul>
 
 
 AI/ML Infrastructure &amp; Enablement
 
 
 <ul>
 <li>
 
 Architect the data and compute foundations required for AI/ML workloads, including agentic workflows and real-time analytics
 
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 Enable large-scale automation, intelligent decisioning, and near-real-time inference
 
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 Ensure architectures support model lifecycle management, scalability, and performance
 
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 </ul>
 
 
 Technical Governance &amp; Quality
 
 
 <ul>
 <li>
 
 Ensure architectural designs align with industry standards, security requirements, and scalability goals
 
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 Provide high-level design documentation, reference architectures, and technical blueprints
 
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 Support roadmap definition and continuous architectural evolution
 
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 </ul>
 Technical Requirements
 <ul>
 <li>
 
 
 Expert-level experience with distributed systems
 
 , including:
 
 <ul>
 <li>
 
 Real-time stream processing
 
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 <li>
 
 Distributed storage platforms
 
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 <li>
 
 Low-latency analytical databases
 
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 </ul>
 </li>
 <li>
 
 Proven experience designing
 
 enterprise-scale, high-throughput data architectures
 
 
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 Strong background in
 
 event-driven and real-time processing ecosystems
 
 
 </li>
 <li>
 
 Experience supporting
 
 AI/ML platforms
 
 , data fabrics, and automation frameworks
 
 </li>
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 Demonstrated ability to translate complex technical challenges into scalable architectural solutions
 
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 </ul>
 Leadership &amp; Soft Skills
 <ul>
 <li>
 
 Strong
 
 mentorship and coaching experience
 
 with senior engineering teams
 
 </li>
 <li>
 
 Ability to influence architectural direction across multiple teams and stakeholders
 
 </li>
 <li>
 
 Excellent communication skills, capable of articulating complex designs to both technical and non-technical audiences
 
 </li>
 <li>
 
 Strategic mindset with a focus on long-term platform evolution
 
 </li>
 </ul>
 Nice to Have
 <ul>
 <li>
 
 Experience with cloud-native and hybrid architectures
 
 </li>
 <li>
 
 Exposure to MLOps, DataOps, or platform engineering practices
 
 </li>
 <li>
 
 Experience in regulated or large enterprise environments
 
 </li>
 </ul>
 Why Join
 <ul>
 <li>
 
 Shape the
 
 architectural foundation of advanced AI and automation platforms
 
 
 </li>
 <li>
 
 Influence enterprise-scale technical decisions with long-term impact
 
 </li>
 <li>
 
 Work in a senior, high-visibility role with strong ownership and autonomy
 
 </li>
 </ul>
</div>

AI Architect

Join Datamatics Technologies and explore 2   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.

Datamatics Technologies

About Company

Senior Data Analyst

AI Architect