data analytics specialist

CEMEX

<div>Cemex Egypt is looking for a highly analytical and detail-oriented HR Data Analytics Specialist to join our team. 


Position Summary: 


We are seeking an experienced HR Data Analytics Specialist to transform workforce data into actionable insights that support strategic HR decision-making. This role focuses on analyzing HR metrics, developing interactive dashboards, and delivering data-driven recommendations across areas. The ideal candidate combines strong analytical expertise, advanced reporting skills, and the ability to collaborate effectively with HR, Finance, and business stakeholders to drive informed people strategies. 


Key Responsibilities: 

<ul>
<li>Perform end-to-end data analysis, including extraction, cleaning, modeling, and interpretation of HR and workforce datasets.</li>
<li>Develop and maintain interactive dashboards and reports using Power BI to track HR metrics and trends.</li>
<li>Analyze HR metrics such as headcount, turnover, recruitment, absenteeism, and employee demographics.</li>
<li>Support Compensation &amp; Benefits analytics, including payroll cost analysis, salary structures, compa-ratio, and merit increase simulations.</li>
<li>Conduct trend analysis, variance analysis, and scenario modeling to guide HR decision-making.</li>
<li>Partner with HR, Finance, and business stakeholders to translate data into actionable insights and recommendations.</li>
<li>Ensure data accuracy, consistency, and governance across HR and workforce datasets.</li>
<li>Present findings to both technical and non-technical stakeholders in a clear and actionable manner.</li></ul> 

Qualifications and Requirements: 

<ul>
<li>5&ndash;7 years of experience in data analytics, HR analytics, or a related field.</li>
<li>Solid understanding of core data analysis concepts and ability to interpret complex data.</li>
<li>Experience analyzing HR metrics and workforce data; exposure to Compensation &amp; Benefits is a plus.</li>
<li>Advanced Excel skills and experience with HRIS or payroll systems.</li>
<li>Strong analytical thinking, problem-solving, and critical-thinking skills.</li>
<li>Excellent communication and stakeholder management skills.</li>
<li>Organized, dependable, and able to thrive in a fast-paced, dynamic environment.</li></ul></div>

HR Data Analyst

Aujan Coca-Cola Beverages Company (ACCBC)

<div>
 
 
 Senior Specialist Market Insights &amp; Analytics
 
 
 
 
 Reports To:
 
 Director &ndash; Data &amp; Analytics (ACCBC) (Dotted Line - Head &ndash; Consumer &amp; Market Insights (Rani Refreshments))
 
 
 
 Function:
 
 Data &amp; Analytics / Consumer &amp; Market Insights
 
 
 
 Location:
 
 Dubai, UAE
 
 
 
 
 
 
 
 
 
 Purpose of the Role
 
 
 
 To integrate external, market-driven intelligence into Aujan&rsquo;s analytics ecosystem, enriching decision-making with &ldquo;outside-in&rdquo; insights.
 
 
 
 
 
 The role bridges data from competitor landscapes, market share reports, economic indicators, and in-market survey results with internal commercial and operational performance metrics.
 
 
 Initially focused on supporting Rani Refreshments&rsquo; analytics and market insight needs, the role will lay the foundation for an enterprise-wide insights capability serving both Rani and ACCBC &ndash; covering customer, consumer, competitor, people, and asset analytics over time.
 
 
 Working within the centralized Data &amp; Analytics team, the specialist ensures external intelligence is translated into actionable insights that drive growth, RGM precision, and strategic clarity across the business.
 
 
 
 
 
 
 Operating Context
 
 
 
 The role supports the enterprise mandate to deliver
 
 consistent, governed, and decision-ready analytics
 
 across ACCBC &amp; RR by integrating
 
 external market, competitor, and macroeconomic intelligence
 
 into the BI ecosystem. It functions as an
 
 execution-focused specialist role
 
 , translating &ldquo;outside-in&rdquo; insights into actionable inputs for Commercial, RGM, Strategy, Finance, and Supply Chain teams, while operating within defined enterprise data governance and reporting standards.
 
 
 
 
 
 
 Key Accountabilities
 
 
 
 1
 
 . Market Intelligence Integration
 
 
 <ul>
 <li>
 Source and integrate external data (Nielsen, Euromonitor, Kantar, etc.) into the BI environment.
 </li>
 <li>
 Structure and align datasets to complement internal KPIs and data models.
 </li>
 <li>
 Maintain quality, timeliness, and metadata documentation for external feeds.
 </li>
 </ul>
 
 2
 
 . Analytics &amp; Insight Development
 
 
 <ul>
 <li>
 Conduct trend, pricing, and scenario analyses to support RGM, category, and strategic planning.
 </li>
 <li>
 Translate macro-economic, PESTLE, and category shifts into commercial implications.
 </li>
 <li>
 Produce concise, decision-ready reports linking external factors to performance outcomes.
 </li>
 <li>
 Support cross-functional analytics enablement by embedding external metrics in existing reports.
 </li>
 </ul>
 
 3.
 
 Collaboration &amp; Stakeholder Engagement
 
 
 <ul>
 <li>
 Partner with BI, Commercial, Strategy, and RGM teams to embed market insights in planning cycles.
 </li>
 <li>
 Liaise with Finance, Sales, and Marketing for forecasting and pricing inputs.
 </li>
 <li>
 Manage relationships with third-party data providers to enhance reliability and access.
 </li>
 </ul>
 
 4.
 
 Reporting &amp; Visualization
 
 
 <ul>
 <li>
 Develop and maintain interactive dashboards using Power BI.
 </li>
 <li>
 Present insights in clear, business-relevant narratives for leadership forums.
 </li>
 <li>
 Maintain an organized insights repository capturing competitor, category, and macro trends.
 </li>
 </ul>
 
 5.
 
 Continuous Improvement &amp; Governance
 
 
 <ul>
 <li>
 Recommend enhancements to data integration and governance standards.
 </li>
 <li>
 Track utilization and business impact of delivered insights.
 </li>
 <li>
 Stay current on emerging analytics tools and data-fusion methods that improve foresight capability.
 </li>
 </ul>
 
 
 
 
 
 Key Performance Indicators (KPIs)
 
 
 <ul>
 <li>
 Accuracy and timeliness of external data integration.
 </li>
 <li>
 Stakeholder satisfaction and adoption of delivered insights.
 </li>
 <li>
 Demonstrated impact of insights on commercial and strategic decisions.
 </li>
 <li>
 Quality and clarity of dashboards and reports.
 </li>
 <li>
 Effectiveness of cross-functional collaboration.
 </li>
 </ul>
 
 
 
 
 
 Decision Rights
 
 
 
 
 Recommend:
 
 
 <ul>
 <li>
 External data source partnerships, subscriptions, and tools for leadership approval.
 </li>
 <li>
 Enhancements to BI architecture and data integration frameworks.
 </li>
 <li>
 Process improvements to data governance, tagging, and documentation standards.
 </li>
 </ul>
 
 
 Approve (within scope):
 
 
 <ul>
 <li>
 Selection and integration of approved market data sources into BI reports and dashboards.
 </li>
 <li>
 Formatting, design, and dissemination of insight reports and dashboards for business users.
 </li>
 <li>
 Standard definitions, metrics, and visualization templates related to market and competitor data.
 </li>
 </ul>
 
 
 Advise:
 
 
 <ul>
 <li>
 Business and functional leaders on market trends, competitor movements, and category performance implications.
 </li>
 <li>
 RGM, Strategy, and Commercial teams on data interpretation and market-driven decision making.
 </li>
 <li>
 BI and Data Governance teams on external data fusion practices and integration methodologies.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 Education:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business Analytics, Data Science, Economics, or a related field (Master&rsquo;s preferred).
 </li>
 </ul>
 
 
 Experience:
 
 
 <ul>
 <li>
 4&ndash;6 years in analytics, insights, or market intelligence roles within FMCG or related industries.
 </li>
 </ul>
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Advanced Excel and Power BI; familiarity with Tableau and data integration via SharePoint or Azure.
 </li>
 <li>
 Working knowledge of Nielsen, Euromonitor, and economic data sources.
 </li>
 </ul>
 
 
 Behavioral Skills:
 
 
 <ul>
 <li>
 Analytical curiosity, commercial acumen, storytelling ability, and confidence to influence cross-functional decisions.
 </li>
 </ul>
 
 
 Preferred:
 
 
 <ul>
 <li>
 Experience in multi-market data integration projects and collaboration between commercial and insights teams.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Competencies Required
 
 
 
 
 Core Competencies
 
 
 <ul>
 <li>
 Analytical Thinking: Interprets complex data to extract meaningful business insights.
 </li>
 <li>
 Collaboration &amp; Influence: Builds cross-functional partnerships to align analytics with business priorities.
 </li>
 <li>
 Results Orientation: Translates analytics into tangible commercial actions.
 </li>
 <li>
 Innovation &amp; Learning Agility: Continuously adopts new tools and approaches to enhance data foresight.
 </li>
 <li>
 Communication &amp; Storytelling: Synthesizes insights into clear, impactful business narratives.
 </li>
 </ul>
 
 
 Functional Competencies
 
 
 <ul>
 <li>
 Data Integration &amp; Modeling: Merges external and internal datasets into unified BI structures.
 </li>
 <li>
 Market &amp; Competitive Intelligence: Deep understanding of market share analytics, category tracking, and competitor behavior.
 </li>
 <li>
 Visualization &amp; Reporting: Expert in Power BI dashboards and presenting analytics for executive consumption.
 </li>
 <li>
 Scenario &amp; Trend Analysis: Models performance based on external variables and macroeconomic shifts.
 </li>
 <li>
 Governance &amp; Data Quality Management: Ensures accuracy, reliability, and documentation of integrated data.
 </li>
 </ul>
 
 
 
 
 
 Accountability Indicators
 
 
 <ul>
 <li>
 Integration and accuracy of external market data.
 </li>
 <li>
 Timely delivery and adoption of insight reports.
 </li>
 <li>
 Improvement in business foresight and decision-making quality.
 </li>
 <li>
 Consistency and governance of external data within BI systems.
 </li>
 </ul>
 
 
 
 
 
 Role Positioning within Operating Model
 
 
 <ul>
 <li>
 
 Strategic Direction:
 
 CEO &ndash; ACCBC / CEO &ndash; Rani Refreshments
 </li>
 <li>
 
 Operational Leadership:
 
 Director &ndash; Data &amp; Analytics (ACCBC) - Dotted-line to Head &ndash; Consumer &amp; Market Insights (Rani Refreshments)
 </li>
 <li>
 
 Administrative Execution:
 
 Market Insights &amp; Analytics Specialist
 </li>
 <li>
 
 Functional Support:
 
 Commercial, Strategy, RGM, Finance, and Marketing
 </li>
 </ul>
 
 
 
 
 
 Career Path
 
 
 
 
 Level
 
 
 
 
 Next Career Role
 
 
 
 
 Development Focus
 
 
 
 
 
 Current
 
 
 
 Market Insights &amp; Analytics Specialist
 
 
 
 Mastery in external data integration and insight delivery
 
 
 Next
 
 
 
 Senior Specialist &ndash; Insights &amp; Analytics
 
 
 
 Broader ownership of multi-market analytics and cross-functional storytelling
 
 
 Mid-Term
 
 
 
 Manager &ndash; Market &amp; Business Intelligence
 
 
 
 Strategic leadership of insights programs and partnerships
 
 
 Long-Term
 
 
 
 Head &ndash; Market &amp; Consumer Insights / Head &ndash; Data &amp; Analytics
 
 
 
 Enterprise-wide insights governance, capability development, and foresight leadership
 
 
 
 
 
 
 
 
 
 Accountability Indicators
 
 
 <ul>
 <li>
 Integration and accuracy of external market data.
 </li>
 <li>
 Timely delivery and adoption of insight reports.
 </li>
 <li>
 Improvement in business foresight and decision-making quality.
 </li>
 <li>
 Consistency and governance of external data within BI systems.
 </li>
 </ul>
 
 
 
 
 
 Direct Reports
 
 
 <ul>
 <li>
 None (individual contributor role)
 </li>
 </ul>
 
 
</div>

Senior Specialist Market Insights & Analytics

JAWRAA

<div>
 
 We are looking for a
 
 Power BI Specialist
 
 to join our team and work on advanced data analytics and reporting initiatives.
 
 
 📍
 
 Location:
 
 On-site
 
 
 ⏳
 
 Contract Duration:
 
 6 Months
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Collect, analyze, and interpret complex data sets to support business decision-making.
 </li>
 <li>
 Design, develop, and maintain interactive Power BI reports and dashboards.
 </li>
 <li>
 Build efficient and scalable data models using DAX and best practices.
 </li>
 <li>
 Collaborate with business stakeholders to gather and translate requirements into BI solutions.
 </li>
 <li>
 Utilize Microsoft Fabric tools (Dataflows, Pipelines, OneLake) to support self-service analytics.
 </li>
 <li>
 Ensure compliance with data governance standards and optimize report performance.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 4+ years of experience in Business Intelligence, data analysis, or a related field.
 </li>
 <li>
 Strong hands-on experience with Power BI Desktop and Power BI Service.
 </li>
 <li>
 Solid knowledge of data modeling, DAX, and data visualization best practices.
 </li>
 <li>
 Experience with Microsoft Fabric is highly preferred.
 </li>
 <li>
 Excellent communication skills with the ability to explain technical concepts to non-technical users.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have:
 
 
 <ul>
 <li>
 Microsoft Certified: Data Analyst Associate (PL-300) or equivalent.
 </li>
 <li>
 Experience with Python or Azure Data Platform.
 </li>
 </ul>
 
 
</div>

Power BI Specialist

Freshqa Trading

About the Role:We are looking for a Senior Data Specialist responsible for analyzed sales, demand and inventory data to support forecasting and planning also prepared daily, weekly and monthly performance report sand dashboards. Monitoring returns wastage and stock levels to reduce wastage also automated reports and improved data accuracy using EXCEL and Tableau tools.Key Responsibilities:<ul><li>Collect, clean and validate sales, supply, return, and inventory data from multiple sources to ensure data accuracy and cosistency.</li><li>Analyze daily, weekly and monthly sales performance across branches, routes, SKUs, and suppliers.</li><li>Monitor wastage returns, over-supply and under-supply.</li><li>Design and maintain interactive dashboards and reports using EXCEL, Tableau and BI tools, and Python.</li><li>Track KPIs such as net sales, gross margin, return%, forecast accuracy, and route performance.</li></ul>Required Skills:<ul><li>Bachelor&rsquo;s degree in Data Analytics, Statistics, IT, Business, or related field</li><li>2&ndash;5 years of experience as a Data Analyst (Food / FMCG preferred)</li><li>Strong skills in Excel, Power BI, and SQL</li><li>Experience with ERP systems, POS data, and inventory management</li><li>Strong analytical and problem-solving skills</li><li>High attention to detail and data accuracy</li></ul>Job Types: Full-time, PermanentPay: QAR6,000.00 - QAR10,000.00 per month

Data Specialist- Food Company

Takamol Holding

<div>
 
 The Senior BI Specialist is responsible for designing, developing, and maintaining executive dashboards and analytical reports to support informed decision-making across the organization. The role focuses on transforming financial, HR, procurement, and other related business data into actionable insights using Business Intelligence and analytics platforms.
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, and maintain interactive dashboards and analytical reports to support executive and operational decision-making.
 </li>
 <li>
 Build and maintain analytical models, dataflows, and semantic layers to enable reliable and scalable reporting.
 </li>
 <li>
 Analyze financial, HR, procurement, and related business data to identify trends, variances, and performance insights.
 </li>
 <li>
 Develop and maintain standardized KPIs and performance metrics aligned with business objectives.
 </li>
 <li>
 Translate business requirements into effective BI and analytics solutions.
 </li>
 <li>
 Ensure data accuracy, consistency, and reconciliation between BI reports and source systems.
 </li>
 <li>
 Collaborate with IT, Finance, HR, Procurement, and other stakeholders to support reporting and analytics needs.
 </li>
 <li>
 Support documentation of dashboards, reports, data models, and user guides. Continuously enhance BI solutions based on business feedback and evolving requirements
 </li>
 </ul>
 
 
 
 
 
 
 Required Skills:
 
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Ability to communicate insights clearly to technical and non-technical stakeholders.
 </li>
 <li>
 High attention to detail and data accuracy.
 </li>
 <li>
 Ability to manage multiple dashboards and reporting priorities.Strong collaboration and stakeholder management skills.
 </li>
 </ul>
 
 
 
 
 
 
 Qualifications &amp; Experience:
 
 
 
 
 
 Required Qualifications &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in information systems, Computer Science, Data Analytics, or a related field.
 </li>
 <li>
 Proven experience in Microsoft Power BI, including data modeling, DAX, and Power Query.
 </li>
 <li>
 Strong experience in data analysis and reporting across financial, HR, procurement, and related business domains.
 </li>
 <li>
 Solid understanding of data structures, KPIs, and performance reporting.
 </li>
 <li>
 Proficiency in SQL for data querying and analysis.
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience working with ERP systems, preferably Microsoft Dynamics 365 (Finance, HR, Procurement).
 </li>
 <li>
 Experience with Microsoft Fabric analytics capabilities.
 </li>
 <li>
 Familiarity with Azure data and analytics services (e.g., Azure SQL, Synapse, Data Factory).
 </li>
 <li>
 Python for data analysis and data preparation (preferred).
 </li>
 <li>
 Experience in corporate or enterprise-level reporting environments.
 </li>
 </ul>
 
 
 Preferred Certifications
 
 
 <ul>
 <li>
 Microsoft Certified: Power BI Data Analyst (PL-300)
 </li>
 <li>
 Microsoft Certified: Azure Data Fundamentals (DP-900)
 </li>
 <li>
 Azure Fundamentals (AZ-900) &ndash; preferred
 </li>
 <li>
 Microsoft Fabric Analytics Engineer (DP-600) &ndash; preferred
 </li>
 </ul>
 
 
</div>

Senior Business Intelligence Specialist

MA'ADEN

<div>Job purpose
The Lead Specialist, Data Engineering is responsible for designing, developing, and
optimizing scalable data engineering solutions across both OT (Operational Technology) and IT environments. The role ensures that data products, enterprise data layers, pipelines, and integration flows are consistent, governed, high-performing, and aligned with enterprise architecture. 
This position operates as a senior technical specialist providing guidance across multidisciplinary engineering teams and ensuring cohesive OT&ndash;IT data ingestion, transformation, and consumption patterns. 
Key Accountabilities
Support Enterprise Architecture Direction
<div><ul><li>Design, build, and optimize ingestion, transformation, and orchestration pipelines across OT and IT data sources.
</li></ul><ul><li>Implement scalable ELT/ETL workflows supporting enterprise analytics, data products, AI/ML, and operational use cases.
</li></ul><ul><li>Engineer unified data flows across remote mining sites, disconnected OT environments, manufacturing systems, edge computing devices, and IT cloud platforms.
</li></ul><ul><li>Embed metadata capture, lineage tracking, and quality checks into data pipelines to support data governance and cataloging requirements.
</li></ul><ul><li>Translate architectural models into physical engineering implementations.
</li></ul><ul><li>Partner with business domains to understand data requirements and ensure delivered pipelines meet operational and analytical needs.
</li></ul><ul><li>Address OT-specific latency, connectivity, protocol variability, and historian/SCADA integration considerations in pipeline designs. 
</li></ul></div>Minimum Qualification, Experience and Competencies
Minimum Qualification
<ul><li>Bachelor&rsquo;s degree in Computer Science/Eng, Data Engineering, Information Systems, or related field.
</li><li>Master&rsquo;s degree preferred (Data Architecture, Software Engineering, or AI/Analytics). 
</li></ul>Minimum Experience
<ul><li>8+ years of hands-on experience in data engineering across modern architectures (cloud, data laken and warehouse, OT/IT).
</li><li>Strong experience building data pipelines integrating OT systems (SCADA, DCS, historians) and IT data sources, ERP Fusion.
</li><li>Practical experience with Azure, modern data lakehouse patterns, virtualization , and workflow orchestration.
</li><li>Exposure to DevOps pipelines, containerization, data quality, and metadata management systems.
</li></ul>Maaden High Performance Competencies
<ul><li>Execution Excellence: Delivers high-quality pipelines and engineering solutions with strong reliability.
</li><li>Collaboration &amp; Influence: Works effectively across OT, IT, and business domains.
</li><li>Problem Solving: Tackles complex integration challenges across industrial and corporate environments.
</li><li>Adaptability &amp; Innovation: Applies modern engineering techniques and identifies improvements in architecture/tooling.
</li><li>Technical Leadership: Guides engineering teams and junior specialists. 
</li></ul>Skills
<ul><li>Advanced ELT/ETL development (e.g., Data Factory, Informatica, custom pipelines).
</li><li>Strong programming in Python, SQL, and data transformation frameworks.
</li><li>Experience with time-series, historian, and sensor data coming from OT.
</li><li>Deep understanding of streaming pipelines, micro-batching, and real-time architectures.
</li><li>Strong knowledge of cloud platforms (Azure preferred), data lakehouse, Delta/Parquet formats, API integration, and orchestration tools.
</li><li>Familiarity with DevOps practices, CI/CD, and Git-based workflows</li></ul></div>

Lead Specialist, Integrated Data, AI & Analytics Platform II

Red Bull

<div>
 As a Data Analyst Specialist, you will support data-driven decision-making across our commercial organization. You will help analyze, model, and visualize structured and semi-structured data to generate actionable insights for leadership and field teams. You&rsquo;ll work closely with cross-functional stakeholders to translate business questions into clear metrics, dashboards, and analysis that improve performance, efficiency, and execution in a fast-paced FMCG environment.As a Data Analyst Specialist, you will support data-driven decision-making across our commercial organization. You will help analyze, model, and visualize structured and semi-structured data to generate actionable insights for leadership and field teams. You&rsquo;ll work closely with cross-functional stakeholders to translate business questions into clear metrics, dashboards, and analysis that improve performance, efficiency, and execution in a fast-paced FMCG environment.
 
 
 
 All the responsibilities we'll trust you with:
 
 
 
 
 Data Analysis &amp; Insights
 
 
 
 Investigate business performance to identify growth, optimization and efficiency opportunities. Deliver clear, fast insights that support decisions in a high-velocity environment. Analyze customer behavior, purchasing patterns, and volume drivers across the customer lifecycle. Support ad-hoc analysis and recurring deep-dive (channel performance, outlet segmentation, promo/seasonality impact, etc&hellip;)
 
 
 
 Reporting, Dashboards &amp; KPI Tracking
 
 
 
 Help Define and Standardize Key business performance metrics. Build and maintain Dashboards and reports with strong storytelling and usability. Monitor data quality and ensure accuracy, consistency and scalability across reporting outputs. Automate recurring reporting where possible to reduce manual effort and improve reliability.
 
 
 
 Data Preparation &amp; Automation
 
 
 
 Clean, transform and consolidate datasets from multiple sources (Excel files, system exports, 3rd party data, census data, etc&hellip;) Use Python to automate workflows (data prep, validation checks, recurring exports, KPI Pipelines, etc&hellip;) Maintain well-documented, reusable analysis outputs (templates, scripts, refresh steps.
 
 
 
 Your areas of knowledge and expertise that matter most for this role:
 
 
 
 <ul>
 <li>
 2-4 years of experience in Data Analytics or Business Analyst role
 </li>
 <li>
 Strong Advanced Excel skills
 </li>
 <li>
 Strong background with Power BI (Power Query, data modelling, DAX measures and dashboard design) or similar visualization tool (SAC, Tableau, Metabase, etc..)
 </li>
 <li>
 Good Python foundations
 </li>
 <li>
 Strong analytical thinking and ability to translate ambiguous business asks into measurable outputs.
 </li>
 <li>
 Clear communication and ability to present insights simply to non-technical stakeholders.
 </li>
 <li>
 FMCG Experience (nice to have)
 </li>
 <li>
 RTM Projects Experience (nice to have)
 </li>
 <li>
 GIS tools exposure (nice to have)
 </li>
 <li>
 Familiarity with SQL (nice to have)
 </li>
 <li>
 Familiarity with Trifecta and Snowflake (nice to have)
 </li>
 </ul>
</div>

Data Analyst

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