We are looking for a Data Analyst with strong data modeling and analytics engineering skills to support the design, structuring, and interpretation of HR data within a modern cloud-based data platform. This is a short-term engagement (3–6 months) focused on transforming raw HR data into scalable, well-governed, and analytics-ready datasets that support reporting, AI-driven HR agents, and business decision-making. The role requires at least 4 hours daily overlap with the America/New_York time zone to ensure effective collaboration with stakeholders and engineering teams. You will work closely with data engineers, AI developers, and HR stakeholders to ensure data consistency, quality, and usability across multiple downstream applications. Requirements - Strong experience in data modeling (logical and physical) with focus on scalability and multiple downstream use cases - Hands-on experience with Snowflake and dbt for data transformation and modeling - Familiarity with AWS data services in a cloud-based data environment - Experience working with Workday data structures or similar HRIS systems - Understanding of semantic layer design and governed data access principles - Ability to translate complex business requirements into clear, structured data models - Strong knowledge of data governance, security, and compliance, especially in sensitive HR data environments - Excellent analytical thinking and problem-solving skills Responsibilities - Analyze and interpret large volumes of HR data ingested into the Data Lake to identify trends, gaps, and actionable insights for business and AI use cases - Design and implement scalable logical and physical data models to support multiple HR and analytics reporting needs - Develop and maintain a semantic layer to ensure consistent, governed access to HR metrics across teams and tools - Collaborate with data engineers to ensure high-quality Workday API data integration and model-ready data structures - Partner with AI development teams to align data models with requirements for automated HR agents and workflows - Define and enforce data validation rules, quality checks, and compliance standards across the data modeling pipeline - Translate HR and business stakeholder requirements into structured data models and analytics frameworks - Create and maintain documentation, including data dictionaries, lineage, and model definitions What we offer - Direct cooperation with the already successful, long-term, and growing project. - Flexible work arrangements. - Collaborative and supportive team culture. - Truly competitive salary. - Help and support from our caring HR team.

We are looking for a Data Analyst with strong data modeling and analytics engineering skills to support the design, structuring, and interpretation of HR data within a modern cloud-based data platform. This is a short-term engagement (3–6 months) focused on transforming raw HR data into scalable, well-governed, and analytics-ready datasets that support reporting, AI-driven HR agents, and business decision-making. The role requires at least 4 hours daily overlap with the America/New_York time zone to ensure effective collaboration with stakeholders and engineering teams. You will work closely with data engineers, AI developers, and HR stakeholders to ensure data consistency, quality, and usability across multiple downstream applications. Requirements - Strong experience in data modeling (logical and physical) with focus on scalability and multiple downstream use cases - Hands-on experience with Snowflake and dbt for data transformation and modeling - Familiarity with AWS data services in a cloud-based data environment - Experience working with Workday data structures or similar HRIS systems - Understanding of semantic layer design and governed data access principles - Ability to translate complex business requirements into clear, structured data models - Strong knowledge of data governance, security, and compliance, especially in sensitive HR data environments - Excellent analytical thinking and problem-solving skills Responsibilities - Analyze and interpret large volumes of HR data ingested into the Data Lake to identify trends, gaps, and actionable insights for business and AI use cases - Design and implement scalable logical and physical data models to support multiple HR and analytics reporting needs - Develop and maintain a semantic layer to ensure consistent, governed access to HR metrics across teams and tools - Collaborate with data engineers to ensure high-quality Workday API data integration and model-ready data structures - Partner with AI development teams to align data models with requirements for automated HR agents and workflows - Define and enforce data validation rules, quality checks, and compliance standards across the data modeling pipeline - Translate HR and business stakeholder requirements into structured data models and analytics frameworks - Create and maintain documentation, including data dictionaries, lineage, and model definitions What we offer - Direct cooperation with the already successful, long-term, and growing project. - Flexible work arrangements. - Collaborative and supportive team culture. - Truly competitive salary. - Help and support from our caring HR team.

About Octopus by RTG Octopus by RTG is the tech hiring and outsourcing arm of Robusta Technology Group, dedicated to connecting exceptional tech talent with top-tier organizations across the MENA, GCC, Europe, the US, and Canada. We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to empower growth, innovation, and excellence by matching the right talent with the right opportunities. About the Role We are currently expanding our team and seeking a detail-oriented and commercially driven Data Analyst. This role sits at the intersection of data, CRM, and marketing, with a strong focus on transforming data into actionable insights that drive consumer engagement, personalization, and business growth. You will collaborate closely with cross-functional teams including media, CRM, content, and brand, enabling data-driven decision-making and supporting ongoing digital transformation initiatives. Key Responsibilities 1. Data Analysis & Insights - Analyze large datasets across CRM, media, and digital platforms to uncover actionable insights - Develop dashboards and reports to track key KPIs (acquisition, engagement, retention, conversion) - Translate complex data into clear, business-friendly insights for stakeholders 2. CRM & Consumer Analytics - Support segmentation strategies (e.g., lifecycle, behavioral, RFM models) - Analyze consumer journeys across channels such as WhatsApp, email, and web - Identify opportunities for personalization and next-best-action strategies 3. Campaign Measurement & Optimization - Measure performance of CRM and digital marketing campaigns - Conduct A/B testing and provide data-driven recommendations for optimization - Collaborate with media teams to assess campaign effectiveness and ROI 4. Data Management & Integration - Work closely with data engineering and tech teams to ensure data accuracy and consistency - Support integration of multiple data sources (CDPs, CRM platforms, media platforms) - Ensure proper data governance and compliance with privacy regulations 5. Stakeholder Collaboration - Partner with internal teams and stakeholders to support business objectives - Present insights and recommendations in a clear and compelling manner - Contribute to strategic initiatives such as loyalty programs and digital transformation projects Background & Experience - 5–8 years of experience in data analytics, preferably within FMCG, retail, or digital marketing environments - Experience in an agency or consulting environment is a plus - Strong understanding of consumer behavior, CRM, and marketing analytics - Exposure to MENA markets is an advantage

• Partner directly with business stakeholders to understand data needs and translate them into structured analysis • Write and optimize advanced SQL queries to extract and manipulate large, complex datasets • Combine customer feedback and operational data to identify trends in sentiment, behavior, and experience • Build repeatable data processes and workflows to support ongoing CX initiatives • Develop dashboards, reports, and visualizations to track key metrics and performance • Collaborate with cross functional teams to validate data sources, definitions, and business logic • Support the evolution of CX processes by improving how data is captured, structured, and utilized • Contribute to documentation and best practices for data usage and reporting