Role Description This is a remote position. We are looking for a highly organized, analytical, and proactive Sales Operations & Data Analyst to join our growing team. This role is critical in supporting our Sales Managers and leadership team by taking ownership of sales reporting, operational coordination, data analysis, and performance tracking across multiple client accounts. You will play a key role in collating and analyzing sales data, producing actionable reports, identifying trends, and helping to build scalable operational systems that support business growth. This position requires someone who is highly detail-oriented, commercially aware, systems-driven, and confident managing multiple priorities in a fast-paced, growth-focused environment. Qualifications - Graduate of any Bachelor’s Degree. - Minimum of 3 to 5 years of work experience in Sales Operations, Sales Support, Data Analysis, Reporting, Executive Assistant, or similar operational support roles. - Strong understanding of sales processes, sales reporting, and performance metrics. - Advanced proficiency in Google Sheets and/or Microsoft Excel, including data analysis, reporting, dashboards, formulas, and trend tracking. - Experience collating and managing data from multiple sources and stakeholders. - Proven ability to generate reports and present insights in a clear, structured, and commercially meaningful way. - Highly analytical with excellent numerical reasoning and attention to detail. - Strong organizational and project management skills with the ability to manage multiple workflows simultaneously. - Strong communication and stakeholder management skills, with confidence liaising with clients, sales managers, and leadership teams. - Ability to identify trends, patterns, and performance opportunities within sales data. - Comfortable working with AI tools and automation platforms to improve reporting and operational efficiency. - Proven ability to work independently, take ownership, and manage responsibilities with minimal supervision. - Experience supporting fast-paced or scaling businesses is highly desirable. - Experience with CRM systems, reporting systems, or sales performance platforms is advantageous. - Experience in calendar management, scheduling coordination, and operational support is beneficial but not essential. Requirements - Collecting, collating, and organizing sales data from multiple clients and sales teams. - Build, manage, and maintain sales reporting dashboards, KPI trackers, and performance reports using Google Sheets and Excel. - Produce daily, weekly, and monthly sales performance reports and management packs. - Analyze sales activity, conversion rates, trends, and team performance metrics to provide meaningful operational insights. - Support the creation and management of visual reporting systems, including performance matrices and sales scorecards. - Work closely with Sales Managers and leadership to support data-driven coaching and client strategy discussions. - Coordinate with clients and stakeholders to ensure timely and accurate submission of sales data. - Assist with operational workflows, scheduling coordination, and client communications where required. - Help standardize reporting processes and create scalable operational systems across multiple client accounts. - Continuously identify opportunities to improve operational efficiency, reporting quality, and workflow processes. - Maintain structured documentation, reporting templates, and organized data systems. - Provide proactive support that enables Sales Managers to focus on client growth, coaching, and revenue generation. Benefits - Genuinely caring Leadership Team - Competitive salary package - Company-provided full set-up for desktop/laptop with a back-up internet - Free pre-employment Medical Assessment (T&C apply) - HMO on the first day of hire - 15 Vacation Leaves and 5 Sick Leaves - Annual Performance Reviews - Unlimited Employee Referral Incentives - Employee Loan Facilities - Social Clubs and Interest Workshops - Company events where you get a chance to win amazing prizes and be rewarded for your outstanding performance. - Statutory Benefits: Maternity, Paternity and Solo Parent Leaves, Magna Carta for Women, and Premium Pays

Role Description This role is contingent upon a contract award. ICF is seeking an experienced Data Analytics Manager to lead enterprise data, analytics, governance, and AI-enabled capabilities for a complex federal technology services program. This role will support the design, implementation, and sustainment of data policy, standards, governance processes, portfolio management practices, data architecture, data quality controls, analytics products, dashboards, and secure data access models. The ideal candidate has demonstrated experience leading enterprise data initiatives in regulated environments, with strong technical credibility across: - Data governance - Data architecture - Data engineering - Analytics - Data quality - Metadata management - Responsible AI-enabled analytics This role requires the ability to translate business, operational, and mission needs into governed, secure, and usable data capabilities that support decision-making, performance management, and continuous improvement. What You’ll Be Doing - Lead enterprise data, analytics, governance, and AI-enabled capability delivery across a complex federal technology environment. - Develop and implement data governance policies, standards, operating procedures, approval workflows, and accountability models. - Establish and maintain data portfolio management practices, including prioritization, project intake, resource planning, risk tracking, milestone reporting, and performance measurement. - Lead the design and implementation of scalable data architecture, including data pipelines, data lakes, data warehouses, data marts, data catalogs, metadata repositories, and data lineage capabilities. - Define and enforce data quality standards, validation rules, data dictionaries, scorecards, issue management workflows, and continuous monitoring processes. - Guide development of analytics products, dashboards, reports, and visualization tools that provide operational insight and support executive decision-making. - Support advanced analytics capabilities, including statistical analysis, predictive modeling, trend analysis, root cause analysis, and AI-enabled analytics. - Ensure data sharing, API integration, and data access models are secure, governed, auditable, and aligned with privacy, cybersecurity, and compliance requirements. - Partner with cybersecurity, engineering, product, and program management teams to align data platforms, applications, integrations, and analytics capabilities with enterprise standards. - Establish reusable templates, frameworks, data models, ETL/ELT patterns, documentation repositories, and project management toolkits for data initiatives. - Support training, documentation, and knowledge transfer to improve user adoption and long-term sustainment of data tools, dashboards, and data management practices. - Monitor data quality, data usage, access patterns, and analytics adoption to identify risks, improvement opportunities, and operational blind spots. Qualifications - U.S. Citizenship required due to federal contract requirements. - Must be able to obtain and maintain a Federal Public Trust clearance. - Bachelor’s Degree. - 10+ years of experience leading enterprise data, analytics, data governance, data engineering, data architecture, or AI-enabled analytics initiatives. - One active data, cloud, analytics, AI/ML, or data governance certification, such as CDMP, DAMA, AWS/Azure/GCP data certification, Microsoft Power BI certification, Databricks, Snowflake, or equivalent. Requirements - 8+ years of experience designing, implementing, or managing enterprise data platforms, data pipelines, data warehouses, data lakes, data marts, data catalogs, or metadata management capabilities. - 5+ years of experience establishing data governance policies, standards, stewardship models, data quality frameworks, data dictionaries, lineage practices, or data management operating models. - 5+ years of experience delivering analytics products, dashboards, reporting capabilities, data visualizations, or executive decision-support tools. - 5+ years of experience working in federal, public sector, healthcare, life sciences, or other regulated environments with formal privacy, security, or compliance requirements. - 3+ years of experience supporting AI-enabled analytics, predictive modeling, machine learning workflows, anomaly detection, or advanced analytics use cases. - 3+ years of experience with data integration methods, including APIs, ETL/ELT pipelines, data orchestration, batch processing, real-time ingestion, or change data capture. - 3+ years of experience using data visualization, analytics, or business intelligence tools such as Power BI, Tableau, QuickSight, Looker, Palantir Foundry, or similar platforms. - 3+ years of experience with cloud data services on AWS, Microsoft Azure, Google Cloud Platform, or similar cloud environments. - Experience supporting HHS, NIH, FDA, CMS, CDC, or other health-focused federal environments. - Experience building or supporting Chief Data Office functions, enterprise data governance programs, or data portfolio management organizations. - Experience with data privacy, data protection, data classification, DLP, encryption, RBAC, ABAC, just-in-time access, or audit logging requirements. - Experience aligning data capabilities with NIST, FISMA, HIPAA, FedRAMP, GDPR, or other security and compliance frameworks. - Experience developing data catalogs, metadata management approaches, lineage models, data quality scorecards, data issue repositories, and data stewardship workflows. - Experience implementing AI governance, responsible AI practices, model monitoring, explainability, human-in-the-loop review, or secure AI-enabled analytics. - Experience with SQL, Python, R, Databricks, Snowflake, Redshift, BigQuery, Synapse, Dataverse, or similar data platforms and tools. - Additional cloud, data, analytics, AI/ML, cybersecurity, Agile, ITIL, DAMA, CDMP, or project management certification. Benefits - Pay range for this position based on full-time employment is: $98,614.00 - $167,644.00.

• Delivers high value insights that improve performance, efficiency, and customer experience of our Service Center operations and projects. • Integrates subject matter expertise in call center metrics and project reporting with strong analytical skills in SQL, Hive, Tableau, and Alteryx to produce scalable reporting, conduct deep dive analytics, and support operational strategies. • Applies advanced analytical methods to solve complex operational problems. Translates ambiguous questions into structured analytical approaches. Identifies trends, relationships, and root causes within large datasets. • Demonstrates expert-level ability in SQL, Tableau, Hive, and Alteryx. Builds efficient, scalable data models and workflows. Troubleshoots data quality issues and implements sustainable fixes. • Understands call center operations, drivers, and performance levers. Connects analytics to business outcomes, operational strategies, and customer experience. • Anticipates emerging risks and opportunities based on data. Communicates complex insights clearly to non-technical audiences. • Crafts compelling visualizations and narratives that influence decisions. Adapts communication style for executives, managers, and frontline leaders. • Builds strong relationships with Operations, WFM, Technology, and project teams. Works collaboratively to define requirements, deliver insights, and support initiatives. • Develops creative, data-driven solutions that address operational pain points. Tests new approaches and tools to improve efficiency and accuracy. • Manages multiple priorities independently with strong attention to detail. Delivers high-quality work with minimal supervision. Follows through on commitments and ensures deadlines are met. • May support junior analysts in developing technical and analytical skills. Provides guidance, feedback, and best practices across the team. Contributes to a culture of learning and continuous improvement.

Role Description ESG Toulouse, recherche pour son entreprise partenaire, dans le domaine de Data, Intelligence Artificielle et Technologies, un.e Data Analyst en contrat d'alternance. Rattaché(e) à l'équipe Data, Intelligence Artificielle et Technologies, vous serez chargé(e) de : - Participer au développement et au déploiement de modèles de machine learning - Concevoir et maintenir des tableaux de bord et des outils de reporting (Power BI, Tableau) - Assurer la qualité et la cohérence des données au sein du système d'information - Préparer les jeux de données pour l'entraînement des modèles - Documenter les pipelines de données et les modèles déployés - Collaborer avec les équipes IT et métiers pour optimiser les flux de données - Présenter les résultats d'analyses aux équipes métiers et à la direction - Effectuer une veille technologique sur les outils et les tendances de l'IA - Contribuer à la mise en conformité RGPD des traitements de données - Contribuer à la définition des besoins et des spécifications fonctionnelles data - Collecter, nettoyer et analyser des données pour en extraire des insights actionnables Qualifications - Titulaire d'un Bac+3 (Bachelor) dans le domaine de Bachelor ESG - année 3 - Commerce Marketing spécialisation Entrepreneuriat Requirements - Connaissance des outils de visualisation (Power BI, Tableau, Looker) - Connaissance des frameworks de machine learning (Scikit-learn, TensorFlow) - Capacité à communiquer des insights complexes à des non-techniciens - Maîtrise des bases de données relationnelles et NoSQL - Connaissance des enjeux de la gouvernance des données et du RGPD - Maîtrise des environnements cloud (AWS, GCP, Azure) est un plus Benefits - Aucun frais ne sera à la charge des candidats - Rémunération selon niveau d'études + âge - Rentrée : Septembre/Octobre