analytics architect

Starlink Qatar

<div>
 
 
 Job Title: AI Architect
 
 
 
 
 
 
 
 Role Overview
 
 
 
 
 
 
 Design and deliver end-to-end AI solutions, with a strong focus on building business cases tailored to the sports, sports performance, education, and medical industries. The role involves leveraging machine learning, natural language processing, and data analytics to develop scalable, high-impact AI systems that enhance operational efficiency and domain-specific outcomes.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 AI Solution Architecture &amp; Delivery
 
 
 <ul>
 <li>
 Design and implement scalable AI architectures using cloud-native platforms such as Azure AI Foundry and Google Agent Space.
 </li>
 <li>
 Leverage pre-built AI services (NLP, computer vision, predictive analytics) to accelerate solution delivery.
 </li>
 <li>
 Align AI solutions with organizational priorities across sports, healthcare, and education sectors.
 </li>
 </ul>
 
 
 Enterprise System &amp; Data Integration
 
 
 <ul>
 <li>
 Integrate cloud-based AI services with enterprise systems such as ERP, CRM, medical, and sports performance platforms.
 </li>
 <li>
 Enable seamless connectivity between structured data (databases, KPIs) and unstructured data (documents, video, medical records).
 </li>
 <li>
 Utilize APIs, middleware, and automation tools to streamline data pipelines and workflows.
 </li>
 </ul>
 
 
 AI Governance &amp; Risk Management
 
 
 <ul>
 <li>
 Ensure compliance with data protection regulations such as GDPR, HIPAA, and relevant local laws.
 </li>
 <li>
 Monitor AI systems for bias, transparency, and explainability.
 </li>
 <li>
 Implement security, governance, and ethical AI best practices.
 </li>
 </ul>
 
 
 Applied AI Enablement
 
 
 <ul>
 <li>
 Deploy and customize existing AI models for practical, real-world applications.
 </li>
 <li>
 Configure conversational AI, knowledge agents, and analytics tools to support business operations.
 </li>
 <li>
 Continuously evaluate advancements in AI platforms and implement enhancements.
 </li>
 </ul>
 
 
 Stakeholder &amp; Client Management
 
 
 <ul>
 <li>
 Collaborate with internal stakeholders to identify opportunities for AI adoption.
 </li>
 <li>
 Present AI solutions with clear, measurable business value.
 </li>
 <li>
 Act as a trusted advisor for AI-driven transformation initiatives.
 </li>
 </ul>
 
 
 Performance &amp; Scalability
 
 
 <ul>
 <li>
 Optimize AI systems for performance, scalability, and reliability.
 </li>
 <li>
 Establish monitoring frameworks and continuous improvement processes.
 </li>
 <li>
 Define KPIs and track ROI for AI implementations.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 Minimum 8+ years of experience in Solution Architecture.
 </li>
 <li>
 At least 4 years of hands-on experience in applied AI/ML projects.
 </li>
 <li>
 Mandatory: Bilingual (Arabic speaker)
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Computer Science, Artificial Intelligence, Data Science, IT, or Engineering.
 </li>
 </ul>
 
 
 
 
 
 Certifications
 
 
 <ul>
 <li>
 AI-related certifications such as Microsoft Certified AI Developer/Architect.
 </li>
 <li>
 Experience with Azure AI Foundry and Google Cloud AI/ML platforms.
 </li>
 <li>
 Additional software development certifications (e.g., Microsoft Certified Developer/Architect) are a plus.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Competencies
 
 
 <ul>
 <li>
 Strong expertise in designing and delivering AI-driven solutions.
 </li>
 <li>
 Proficiency in AI concepts, tools, frameworks, and models.
 </li>
 <li>
 Experience with solution architecture methodologies, including evaluation techniques, component modeling, and impact analysis.
 </li>
 <li>
 Solid understanding of SDLC, requirements analysis, and technical design (high-level and detailed).
 </li>
 <li>
 Hands-on experience with Azure AI Foundry for enterprise AI lifecycle management.
 </li>
 <li>
 Expertise in Google Agent Builder, SDKs for mobile agents, and multi-agent systems.
 </li>
 <li>
 Strong knowledge of Advanced Retrieval-Augmented Generation (RAG) for enterprise knowledge systems.
 </li>
 <li>
 Proficiency in data and database architecture (SQL, NoSQL, vector databases, knowledge graphs).
 </li>
 <li>
 Ability to design secure, scalable, and high-performance AI systems.
 </li>
 <li>
 Excellent communication skills to bridge technical and business stakeholders.
 </li>
 </ul>
 
 
</div>

AI Architect

The Optimal Group

<div>
 
 JOB TITLE:
 
 AI Architect
 
 
 
 LOCATION
 
 : Dubai, UAE (On-site / Hybrid)
 
 
 
 TYPE
 
 : Full-Time
 
 
 
 SALARY
 
 : AED 25,000 - 35,000/month (DOE) + Performance Bonus
 
 
 
 About The Role
 
 
 
 We are looking for a high-calibre AI Architect to lead the design, development, and deployment of AI-driven systems and solutions across our business. This is a senior, hands-on role that sits at the intersection of strategy and execution. You will be responsible for translating business objectives into scalable AI architecture, building intelligent automation systems, and driving our AI roadmap from concept to production.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement end-to-end AI architecture including machine learning pipelines, LLM integrations, and agentic AI systems
 </li>
 <li>
 Lead the evaluation, selection, and deployment of AI platforms, models, and tools
 </li>
 <li>
 Build and integrate AI solutions into existing infrastructure and business workflows
 </li>
 <li>
 Develop frameworks for AI governance, performance monitoring, and continuous improvement
 </li>
 <li>
 Collaborate with operations, product, and leadership teams to identify AI opportunities and prioritise delivery
 </li>
 <li>
 Research emerging AI technologies and provide strategic recommendations
 </li>
 <li>
 Ensure all AI systems comply with data security, privacy, and regulatory standards
 </li>
 <li>
 Document architecture decisions, system designs, and technical specifications
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 5+ years of experience in AI/ML architecture, solutions architecture, or a related senior technical role
 </li>
 <li>
 Proven experience designing and deploying production-grade AI systems
 </li>
 <li>
 Strong proficiency in Python, and familiarity with major AI/ML frameworks (TensorFlow, PyTorch, LangChain, etc.)
 </li>
 <li>
 Hands-on experience with LLMs, RAG systems, and agentic AI frameworks
 </li>
 <li>
 Cloud architecture experience: AWS, Azure, or GCP
 </li>
 <li>
 Experience with API integration, microservices, and scalable system design
 </li>
 <li>
 Strong commercial awareness &mdash; you understand how AI translates to business value
 </li>
 <li>
 Excellent communication skills &mdash; ability to present technical solutions to non-technical stakeholders
 
 
 </li>
 </ul>
 
 NICE TO HAVE
 
 
 
 <ul>
 <li>
 Experience in property, construction, or facilities management sectors
 </li>
 <li>
 Familiarity with AI automation tools (n8n, Make, Zapier AI, etc.)
 </li>
 <li>
 UAE residency or existing Dubai visa
 </li>
 <li>
 Arabic language skills (not essential)
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Competitive tax-free salary: AED 25,000 - 35,000/month
 </li>
 <li>
 Performance-based bonus
 </li>
 <li>
 High-autonomy role with direct access to senior leadership
 </li>
 <li>
 Fast-moving, execution-focused environment
 </li>
 <li>
 Opportunity to build and own the AI function from the ground up
 </li>
 </ul>
</div>

Children's Hospital of Philadelphia

<div>SHIFT:
Day (United States of America)
Seeking Breakthrough Makers 
 
Children&rsquo;s Hospital of Philadelphia (CHOP) offers countless ways to change lives. Our diverse community of more than 20,000 Breakthrough Makers will inspire you to pursue passions, develop expertise, and drive innovation. 
 
At CHOP, your experience is valued; your voice is heard; and your contributions make a difference for patients and families. Join us as we build on our promise to advance pediatric care&mdash;and your career. 
 
CHOP does not discriminate on the basis of race, color, sex, national origin, religion, or any other legally protected categories in any employment, training, or vendor decisions or programs. CHOP recognizes the critical importance of a workforce rich in varied backgrounds and experiences and engages in ongoing efforts to achieve that through equally varied and non-discriminatory means. 
 
A Brief Overview 
The analytics engineer acts as a bridge between a data engineer and a data analyst. This position is primarily responsible for modeling raw data sets into curated, reusable, trusted data sets which power analytics across the enterprise. These data sets will serve as the single source of truth for data and enable self-service analytics. In addition to the development of data models, this role is responsible for maintaining data quality within these data sets via the use of monitoring, testing, and automation. An additional component of the role is to improve the effectiveness of data analysts and data scientists. This maybe via providing technical expertise in query development, extending data models via the addition of new metrics, and/or consulting on software development practices. The Analytics Engineer owns the entire workflow of data associated with their domain; data pipeline development, ELT performance, timely loading of data sets, and maintenance. 
 
This role will work within various business units and partner with data analysts and data scientist to obtain a deep understanding of operational data and develop scalable data products which empower data-driven decision making across the enterprise.
This department works approximately 80% remotely, 20% on site in our Philadelphia offices on an as-needed basis. 
 
What you will do<ul><li>
Collaborate with business subject matter experts, data analysts, and data scientists to understand/identify the opportunities to develop well-defined, integrated, re-usable data sets which power analytics.</li><li>
Codify reusable data access patterns to speed up time to insights.</li><li>
Perform Logical and Physical data modeling with an agile mindset.</li><li>
Build automated, scalable, test-driven ELT pipelines.</li><li>
Utilize software development practices such as version control via Git, CI/CD, and release management</li><li>
Build data products using various visualization, BI tools and data science tools.</li><li>
Collaborate with Data Engineers, DevOps engineers and architects on improvement opportunities for DataOps tools and frameworks.</li><li>
Implement data quality frameworks and data quality checks.</li><li>
Help define analytical product roadmap to drive the business goals and superior quality outcomes.</li><li>
Work with Data Scientists, Statisticians and Machine learning engineers to implement/scale advanced algorithms to solve health care, operational and quality challenges.</li><li>
Work independently and effectively manage ones time across multiple priorities and projects.</li><li>
Make recommendations about platform adoption, including technology integrations, application servers, libraries, and frameworks.</li><li>
Participate in a shared production on-call support model.</li><li>
Be a critical part of a scrum team in an agile environment, ensuring the team successfully meets its deliverables each sprint.</li></ul>
Education Qualifications<ul><li>
Bachelor's Degree - Required</li><li>
Bachelor's Degree Computer Science, Informatics, Information Systems or another quantitative field - Preferred</li></ul>
Experience Qualifications<ul><li>
At least three (3) years of experience working in Data and analytics landscape - Required</li><li>
At least six (6) years of experience working in Data and analytics landscape - Preferred</li><li>
At least one (1) year of experience working with at least one of the public cloud platforms such AWS/Azure/GCP - Preferred</li></ul>
Skills and Abilities<ul><li>
Strong SQL, Data Modeling and Data Warehousing fundamentals.</li><li>
Experience with software development practices; version control, code review, CI/CD</li><li>
Experience with data integration tools: DBT, Informatica, MS Integration Services etc.</li><li>
Experience with big data toolset: Hadoop, Spark, Kafka, Hive, sqoop etc.</li><li>
Experience working with Business Intelligence Tools (Business Objects) or Visualization tools such as Qlik, Tableau, PowerBI etc.,</li><li>
Experience with stream-processing systems: IBM Streams, Flume, Storm, Spark-Streaming, etc.</li><li>
Good hands-on experience with Linux (RHEL/Debian) operating system</li><li>
Ability to code with other scripting languages such as Python, Bash, groovy etc.,</li><li>
Experience consuming and building APIs</li><li>
Experience utilizing Agile methodology for development</li></ul> 
To carry out its mission, CHOP is committed to supporting the health of our patients, families, workforce, and global community. As a condition of employment, CHOP employees who work in patient care buildings or who have patient facing responsibilities must receive an annual influenza vaccine. Learn more. 
 
EEO / VEVRAA Federal Contractor | Tobacco Statement
SALARY RANGE:
$98,820.00 - $126,000.00 Annually
Salary ranges are shown for full-time jobs. If you're working part-time, your pay will be adjusted accordingly.
-
At CHOP, we are committed to fair and transparent pay practices. Factors such as skills and experience could result in an offer above the salary range noted in this job posting. Click here for more information regarding CHOP's Compensation and Benefits.</div>

Analytics Engineer

CodeNinja

<div>About CodeNinja
CodeNinja is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations&mdash;combining strong engineering fundamentals with AI-native delivery to create measurable value, resilience, and long-term ownership for our clients. Our global footprint and delivery model are supported by AI Labs, AI Pods, and Global Capability Centers, enabling teams to co-engineer scalable platforms across regions and time zones.
Role Purpose
Lead the ERP program&rsquo;s data strategy by ensuring data readiness, conceptual data modelling, reporting data sourcing, and structured data migration planning, enabling a reliable, unified data foundation across all modules.
Key Responsibilities<ul><li>Conduct comprehensive assessment of legacy data sources:</li></ul>
o Inventory, Maintenance (MRO), Procurement, HR, Technical Docs<ul><li>Identify:</li></ul>
o Data quality issues (duplicates, missing, inconsistencies)
o Data ownership and governance gaps
o Redundant/siloed datasets<ul><li>Define data cleansing and standardization approach</li><li>Produce Data Readiness Assessment Report</li><li>Define end-to-end Data Migration Strategy, including:</li></ul>
o Migration approach (phased, module-wise, or big-bang)
o Data prioritization (master data vs transactional vs historical)<ul><li>Develop Data Mapping Specifications:</li></ul>
o Legacy ERP field-level mappings
o Transformation rules and standardization logic
o Handling of missing/invalid data<ul><li>Define Data Cleansing &amp; Preparation Plan:</li></ul>
o Deduplication rules
o Data enrichment where required
o Validation checkpoints before migration<ul><li>Design Migration Execution Plan:</li></ul>
o Migration cycles (mock runs, dry runs, final cutover)
o Rollback strategy in case of failure
o Downtime and cutover planning<ul><li>Define Data Validation &amp; Reconciliation Framework:</li></ul>
o Pre-migration vs post-migration validation rules
o Reconciliation reports (counts, totals, relationships)
o Sign-off criteria for each module<ul><li>Produce key deliverables:</li></ul>
o Data Migration Plan
o Data Mapping Documents
o Data Validation &amp; Reconciliation Reports<ul><li>Identify and enable AI/ML use cases, such as:</li></ul>
o Predictive maintenance modeling
o Inventory demand forecasting
o Supplier performance analytics<ul><li>Leverage AI tools for:</li></ul>
o Data profiling and anomaly detection
o Data quality assessment and cleansing recommendations
o Advanced analytics and insights generation<ul><li>Define enterprise conceptual data model:</li></ul>
o Assets, Inventory, Work Orders, Suppliers, Workforce, Technical Docs<ul><li>Establish:</li></ul>
o Entity relationships
o Master data definitions
o Data standardization rules<ul><li>Support BI teams for dashboards and analytics</li><li>Align data models with business workflows</li><li>Ensure requirements are data-feasible and consistent</li></ul> 
Requirements 
3. Required Skills &amp; Experience
Mandatory<ul><li> 5 - 8 years in Data Analyst / Data Architecture roles</li><li>Experience in large-scale ERP or enterprise data transformation programs</li><li>Strong expertise in:</li></ul>
o Data modelling (conceptual &amp; logical)
o Data migration and cleansing
o Data warehousing and reporting
Technical Expertise<ul><li>Strong knowledge of:</li></ul>
o ETL processes and migration tools
o SQL and relational databases
o API-based integrations<ul><li>Experience with BI tools (Power BI, Tableau)</li></ul>
Preferred<ul><li>Experience in ERP &amp; Enterprise Data Management (logistics, manufacturing)</li><li>Exposure to:</li></ul>
o Maintenance (MRO) data
o Inventory systems
o Technical documentation repositories<ul><li>Demonstrated experience using AI/ML tools or platforms, such as:</li></ul>
o Data analysis and prediction tools
o AI-assisted data modeling or profiling tools<ul><li>Ability to translate data into AI-driven insights for decision-making</li></ul>
Why Join CodeNinja?<ul><li>
Work on impactful ERP transformation projects at enterprise scale
</li><li>Shape end-to-end data strategy, migration, and architecture
</li><li>Leverage AI/ML for advanced data insights and analytics
</li><li>Collaborate with cross-functional teams and drive business decisions
</li><li>Build scalable data models and governance frameworks
</li><li>Grow in a culture of innovation, ownership, and continuous learning</li></ul>
Equal Opportunity Statement
We are an equal opportunity employer and are committed to fostering an inclusive, diverse, and equitable workplace. We do not discriminate based on race, religion, gender, age, disability, nationality, marital status, or any other protected characteristic under applicable law. We encourage candidates from all backgrounds to apply. 
Benefits 
<ul><li>
Provident Fund</li><li>
Gym Membership
</li><li>Leaves as per the company policy
</li><li>Company-paid trips
</li><li>Easy Loan Facility for Employees
</li><li>Yearly increment
</li><li>Maternity Benefits (Leaves &amp; WFH)
</li><li>Health Insurance (Maternity covered) &ndash; includes spouse and parents (till age 80)</li></ul></div>

Data Analyst/Data Architect

CodeNinja Inc.

<div>
 
 About CodeNinja
 
 
 
 
 CodeNinja
 
 is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations&mdash;combining strong engineering fundamentals with AI-native delivery to create measurable value, resilience, and long-term ownership for our clients. Our global footprint and delivery model are supported by AI Labs, AI Pods, and Global Capability Centers, enabling teams to co-engineer scalable platforms across regions and time zones.
 
 
 
 
 Role Purpose
 
 
 
 
 Lead the ERP program's data strategy by ensuring data readiness, conceptual data modelling, reporting data sourcing, and structured data migration planning, enabling a reliable, unified data foundation across all modules.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Conduct comprehensive assessment of legacy data sources:
 </li>
 <li>
 Inventory, Maintenance (MRO), Procurement, HR, Technical Docs
 </li>
 <li>
 Identify:
 </li>
 <li>
 Data quality issues (duplicates, missing, inconsistencies)
 </li>
 <li>
 Data ownership and governance gaps
 </li>
 <li>
 Redundant/siloed datasets
 </li>
 <li>
 Define data cleansing and standardization approach
 </li>
 <li>
 Produce Data Readiness Assessment Report
 </li>
 <li>
 Define end-to-end Data Migration Strategy, including:
 </li>
 <li>
 Migration approach (phased, module-wise, or big-bang)
 </li>
 <li>
 Data prioritization (master data vs transactional vs historical)
 </li>
 <li>
 Develop Data Mapping Specifications:
 </li>
 <li>
 Legacy &rarr; ERP field-level mappings
 </li>
 <li>
 Transformation rules and standardization logic
 </li>
 <li>
 Handling of missing/invalid data
 </li>
 <li>
 Define Data Cleansing &amp; Preparation Plan:
 </li>
 <li>
 Deduplication rules
 </li>
 <li>
 Data enrichment where required
 </li>
 <li>
 Validation checkpoints before migration
 </li>
 <li>
 Design Migration Execution Plan:
 </li>
 <li>
 Migration cycles (mock runs, dry runs, final cutover)
 </li>
 <li>
 Rollback strategy in case of failure
 </li>
 <li>
 Downtime and cutover planning
 </li>
 <li>
 Define Data Validation &amp; Reconciliation Framework:
 </li>
 <li>
 Pre-migration vs post-migration validation rules
 </li>
 <li>
 Reconciliation reports (counts, totals, relationships)
 </li>
 <li>
 Sign-off criteria for each module
 </li>
 <li>
 Produce key deliverables:
 </li>
 <li>
 Data Migration Plan
 </li>
 <li>
 Data Mapping Documents
 </li>
 <li>
 Data Validation &amp; Reconciliation Reports
 </li>
 <li>
 Identify and enable AI/ML use cases, such as:
 </li>
 <li>
 Predictive maintenance modeling
 </li>
 <li>
 Inventory demand forecasting
 </li>
 <li>
 Supplier performance analytics
 </li>
 <li>
 Leverage AI tools for:
 </li>
 <li>
 Data profiling and anomaly detection
 </li>
 <li>
 Data quality assessment and cleansing recommendations
 </li>
 <li>
 Advanced analytics and insights generation
 </li>
 <li>
 Define enterprise conceptual data model:
 </li>
 <li>
 Assets, Inventory, Work Orders, Suppliers, Workforce, Technical Docs
 </li>
 <li>
 Establish:
 </li>
 <li>
 Entity relationships
 </li>
 <li>
 Master data definitions
 </li>
 <li>
 Data standardization rules
 </li>
 <li>
 Support BI teams for dashboards and analytics
 </li>
 <li>
 Align data models with business workflows
 </li>
 <li>
 Ensure requirements are data-feasible and consistent
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Required Skills &amp; Experience
 
 
 </li>
 </ul>
 
 Mandatory
 
 
 
 <ul>
 <li>
 5 - 8 years in Data Analyst / Data Architecture roles
 </li>
 <li>
 Experience in large-scale ERP or enterprise data transformation programs
 </li>
 <li>
 Strong expertise in:
 </li>
 <li>
 Data modelling (conceptual &amp; logical)
 </li>
 <li>
 Data migration and cleansing
 </li>
 <li>
 Data warehousing and reporting
 
 
 </li>
 </ul>
 
 Technical Expertise
 
 
 
 <ul>
 <li>
 Strong knowledge of:
 </li>
 <li>
 ETL processes and migration tools
 </li>
 <li>
 SQL and relational databases
 </li>
 <li>
 API-based integrations
 </li>
 <li>
 Experience with BI tools (Power BI, Tableau)
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience in ERP &amp; Enterprise Data Management (logistics, manufacturing)
 </li>
 <li>
 Exposure to:
 </li>
 <li>
 Maintenance (MRO) data
 </li>
 <li>
 Inventory systems
 </li>
 <li>
 Technical documentation repositories
 </li>
 <li>
 Demonstrated experience using AI/ML tools or platforms, such as:
 </li>
 <li>
 Data analysis and prediction tools
 </li>
 <li>
 AI-assisted data modeling or profiling tools
 </li>
 <li>
 Ability to translate data into AI-driven insights for decision-making
 
 
 </li>
 </ul>
 
 Why Join CodeNinja?
 
 
 
 <ul>
 <li>
 Work on impactful ERP transformation projects at enterprise scale
 </li>
 <li>
 Shape end-to-end data strategy, migration, and architecture
 </li>
 <li>
 Leverage AI/ML for advanced data insights and analytics
 </li>
 <li>
 Collaborate with cross-functional teams and drive business decisions
 </li>
 <li>
 Build scalable data models and governance frameworks
 </li>
 <li>
 Grow in a culture of innovation, ownership, and continuous learning
 
 
 </li>
 </ul>
 
 Equal Opportunity Statement
 
 
 
 We are an equal opportunity employer and are committed to fostering an inclusive, diverse, and equitable workplace. We do not discriminate based on race, religion, gender, age, disability, nationality, marital status, or any other protected characteristic under applicable law. We encourage candidates from all backgrounds to apply.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Provident Fund
 </li>
 <li>
 Gym Membership
 </li>
 <li>
 Leaves as per the company policy
 </li>
 <li>
 Company-paid trips
 </li>
 <li>
 Easy Loan Facility for Employees
 </li>
 <li>
 Yearly increment
 </li>
 <li>
 Maternity Benefits (Leaves &amp; WFH)
 </li>
 <li>
 Health Insurance (Maternity covered) - includes spouse and parents (till age 80)
 </li>
 </ul>
</div>

Orange Business

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Translate reporting and analytics needs into scalable data models (star/snowflake), conformed dimensions, and data marts.
 </li>
 <li>
 Evolve the data warehouse architecture and schema design to support new use cases and performance goals.
 </li>
 <li>
 Build and maintain ETL/ELT pipelines in Python/SQL; orchestrate workflows and enforce data quality checks.
 </li>
 <li>
 Implement a semantic/metrics layer to support consistent KPIs and enable self-service analytics.
 </li>
 <li>
 Define and run data quality tests, anomaly detection, lineage, and documentation to improve trust in data.
 </li>
 <li>
 Integrate diverse data sources (operational systems, relational DBs, Elasticsearch, APIs, message queues).
 </li>
 <li>
 Optimize performance (partitioning, indexing, clustering, materialized views) for reporting and ad-hoc analysis.
 </li>
 <li>
 Maintain security, confidentiality, and integrity of data in line with relevant regulations; implement RBAC and data masking where appropriate.
 </li>
 <li>
 Partner with analysts to design dashboards and reporting assets; enable BI best practices and governance.
 </li>
 <li>
 Participate in the on-call rotation to ensure data pipelines and services remain reliable.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Advanced SQL and data modeling skills (dimensional modeling, SCDs, normalization vs. denormalization).
 </li>
 <li>
 Strong Python for data processing (e.g., pandas, SQLAlchemy) and building ETL/ELT with automated testing.
 </li>
 <li>
 Experience with CI/CD for data (Git, code reviews, data tests using dbt/Great Expectations or similar).
 </li>
 <li>
 Experience with at least one of: PostgreSQL, MySQL/MariaDB, or Elasticsearch.
 </li>
 <li>
 Orchestration and transformation tools (e.g., Airflow/Prefect and/or dbt).
 </li>
 <li>
 Comfortable with Linux, Docker, and Git.
 </li>
 <li>
 BI/visualization experience (e.g., Power BI, Tableau, Looker, Superset, or Metabase) and dashboard design fundamentals.
 </li>
 <li>
 Writing tests gives you confidence in your code.
 </li>
 <li>
 Willingness to work in an on-call rotation.
 </li>
 <li>
 Full professional proficiency in English (written and verbal ) essential
 </li>
 <li>
 4+ years of relevant experience.
 
 
 </li>
 </ul>
 
 Plus:
 
 
 
 <ul>
 <li>
 Experience with message queues and streaming (RabbitMQ, Kafka).
 </li>
 <li>
 Exposure to modern cloud warehouses (Snowflake, BigQuery, Redshift) or columnar/time-series stores (ClickHouse, TimescaleDB).
 </li>
 <li>
 Experience with Kubernetes for deploying data workloads.
 </li>
 <li>
 Data catalog/lineage tooling (DataHub, OpenLineage, Amundsen) and metrics layer design (dbt metrics, LookML, semantic layers).
 </li>
 <li>
 Security telemetry analytics experience and governance for sensitive data (RBAC, masking, GDPR).
 
 
 </li>
 </ul>
 You bring a can-do attitude, tackle challenges head-on and challenge the status quo with new and innovative ideas.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
 <li>
 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 Only Your Skills Matter
 
 
 
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>

Flock Safety

<div><div><div>Location<div>
Remote - USA</div></div><div>
Employment Type<div>
Full time</div></div><div>
Location Type<div>
Remote</div></div><div>
Department<div>
Executive Operations</div></div><div>
Compensation<ul><div>
$125K &ndash; $150K &bull; Offers Equity</div></ul><div><div>
Where you fall within the compensation range is based on how you demonstrate the attributes and competencies required for the role. We mostly reserve the upper half of our compensation bands for internal growth. During your call with one of our recruiters, they can further clarify the salary range and our total compensation.</div></div></div></div><div><div>
Overview
</div><div></div><div><div><div>Who is Flock?</div>
Flock Safety is the leading safety technology platform, helping communities thrive by taking a proactive approach to crime prevention and security. Our hardware and software suite connects cities, law enforcement, businesses, schools, and neighborhoods in a nationwide public-private safety network. Trusted by over 5,000 communities, 4,500 law enforcement agencies, and 1,000 businesses, Flock delivers real-time intelligence while prioritizing privacy and responsible innovation.
We&rsquo;re a high-performance, low-ego team driven by urgency, collaboration, and bold thinking. Working at Flock means tackling big challenges, moving fast, and continuously improving. It&rsquo;s intense but deeply rewarding for those who want to make an impact.
With nearly $700M in venture funding and a $7.5B valuation, we&rsquo;re scaling intentionally and seeking top talent to help build the impossible. If you value teamwork, ownership, and solving tough problems, Flock could be the place for you.
The Opportunity
As an Analytics Engineer you will own end-to-end analytics solutions from definition, to data architecture, to data visualization, with the goal of stream lining single source of truth insights for our business in an analytics as code environment. It is your job to possess radical ownership, drive impact to our business stakeholders, and walk the line between a technical owner and business partner.
The Skillset<ul><li><div>
BS/MS in Computer Science, Mathematics, Statistics, Engineering or related field, or equivalent industry experience.</div></li><li><div>
5+ years of proven experience as an analytics engineer, business intelligence engineer, or data analyst.</div></li><li><div>
Ability to communicate and drive end to end data solutions for complex and abstract problems.</div></li><li><div>
All-star SQL skills (Redshift a strong plus).</div></li><li><div>
Experience implementing data modeling best practices in an enterprise data warehouse.</div></li><li><div>
Expertise in building business intelligence and reporting solutions (Sigma experience a strong plus).</div></li><li><div>
Familiarity with DBT and GIT, as well as working with Data Engineering and Data Architecture organizations.</div></li><li><div>
Prior experience with Salesforce and working directly with Revenue, Sales, Customer Success, or Finance teams is a strong plus.</div></li></ul> 
Feeling uneasy that you haven&rsquo;t ticked every box? That&rsquo;s okay; we&rsquo;ve felt that way too. Studies have shown women and minorities are less likely to apply unless they meet all qualifications. We encourage you to break the status quo and apply to roles that would make you excited to come to work every day.
90 Days at Flock
We are a results-oriented culture and believe job descriptions are a thing of the past. We prescribe to 90 day plans and believe that good days, lead to good weeks, which lead to good months. This serves as a preview of the 90 day plan you will receive if you were to be hired in this role at Flock Safety.
The First 30 Days<ul><li><div>
Know our tools, customers, and data.</div></li><li><div>
Contributing to our existing Finance and Revenue data models.</div></li></ul>
The First 60 Days<ul><li><div>
Owning design and build out of net-new Accounting and Billing data models.</div></li><li><div>
Supporting Revenue reporting and ad hoc requests.</div></li></ul>
90 Days &amp; Beyond<ul><li><div>
Accounting and Billing data models deployed and in production.</div></li><li><div>
Financial leadership reporting built on your models in flight.</div></li><li><div>
Grown to own support of Customer Support data products.</div></li></ul>
Salary &amp; Equity
In this role, you&rsquo;ll receive a starting salary between $125,000 and $150,000 as well as Flock Safety Stock Options. Base salary is determined by job-related experience, education/training, as well as market indicators. Your recruiter will discuss this in-depth with you during our first chat.
Location
We&rsquo;re building the impossible, together. To drive innovation through in-person collaboration, we&rsquo;re prioritizing candidates in our key hubs: Atlanta, Austin, Boston, Chicago, Denver, Los Angeles, New York City, and San Francisco. While we value the energy of our hub communities, we embrace remote work and welcome applications from exceptional talent across the United States.
The Perks
 Flexible PTO: We offer non-accrual PTO, plus 11 company holidays.<ul><li>️Fully-paid health benefits plan for employees: including Medical, Dental, and Vision and an HSA match.</li></ul>
 Family Leave: All employees receive 12 weeks of 100% paid parental leave. Birthing parents are eligible for an additional 6-8 weeks of physical recovery time.
 Fertility &amp; Family Benefits: We have partnered with Maven, a complete digital health benefit for starting and raising a family. Flock will provide a $50,000-lifetime maximum benefit related to eligible adoption, surrogacy, or fertility expenses.
 Spring Health: Spring Health offers a variety of mental health benefits, including therapy, coaching, medication management, and digital tools, all tailored to each individual's needs.
 Caregiver Support: We have partnered with Cariloop to provide our employees with caregiver support.
 Carta Tax Advisor: Employees receive 1:1 sessions with Equity Tax Advisors who can address individual grants, model tax scenarios, and answer general questions.
 ERGs: We want all employees to thrive and feel like they belong at Flock. We offer four ERGs today - Women of Flock, Flock Proud, LEOs and Melanin Motion. If you are interested in talking to a representative from one of these, please let your recruiter know.
 WFH Stipend: $150 per month to cover the costs of working from home.
 Productivity Stipend: $300 per year to use on Audible, Calm, Masterclass, Duolingo and so much more.
 Home Office Stipend: A one-time $750 to help you create your dream office.
Flock is an equal opportunity employer. We celebrate diverse backgrounds and thoughts and welcome everyone to apply for employment with us. We are committed to fostering an environment that is inclusive, transparent, and collaborative. Mutual respect is central to how Flock operates, and we believe the best solutions come from diverse perspectives, experiences, and skills. We embrace our differences and know that we are stronger working together.
If you need assistance or an accommodation due to a disability, please email us at recruiting@flocksafety.com. This information will be treated as confidential and used only to determine an appropriate accommodation for the interview process.
At Flock Safety, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, as well as market indicators. The range above is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future. This job posting may span more than one career level.
Flock Safety is aware of fraudulent individuals and agencies falsely claiming to represent our company. All legitimate communication from Flock Safety will come from an email address ending in @flocksafety.com. We do not make job offers through messaging apps, social platforms, or unauthorized third parties, and we will never request payment or sensitive personal information during the hiring process. If you encounter suspicious outreach related to a Flock Safety role, please report it to recruiting@flocksafety.com</div></div></div></div>

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