• Use data to prove the ROI of our cybersecurity training platform • Navigate complex datasets using SQL to uncover training impacts • Present insights to executive level stakeholders • Partner with Federal agency stakeholders to translate needs into data-driven success plans • Use SQL and Python to extract and shape large datasets • Build interactive Looker/Tableau dashboards and presentations • Run deep-dive analysis on user behavior and simulation logs • Maintain rigorous data hygiene by auditing the flow of training telemetry • Participate in Executive Business Reviews (EBRs) and discuss client’s progress

Role Description Chez Phenix, nous sommes convaincus qu'un monde sans gaspillage est possible. Nous donnons à chacun — entreprises, associations, citoyens — le pouvoir d'agir contre le gaspillage, alimentaire et non alimentaire, et sauvons plus de 70 millions de repas chaque année. Nous lançons un nouveau produit à destination des acteurs de la grande distribution. Le produit collecte et analyse leurs données pour construire des indicateurs et détecter des anomalies, et les aider à mieux gérer leurs invendus et réduire le gaspillage. Nos produits existants s'appuient sur une équipe d'Analytics Engineers et une stack data établie ; cette verticale démarre sans socle data existant. Nous cherchons un freelance pour en poser les fondations data, aux côtés de la product manager et de l'équipe de dev. - Explorer et fiabiliser les données issues des systèmes d'information des magasins (sources hétérogènes, formats et granularités variables). - Identifier et construire les indicateurs utiles aux magasins, et les premières briques de détection d'anomalies. - Concevoir le modèle de données utilisé par le produit. - Accompagner la product manager dans l'identification des besoins, et l'équipe de dev dans la conception de la solution. Qualifications - Plusieurs années d'expérience en tant que Data Analyst / Analytics Engineer, un plus si tu connais le retail. - Maîtrise de la modélisation de données et SQL. - Maîtrise de BigQuery (indispensable) ; connaître dbt est un plus. - Des compétences ou connaissances en data engineering sont un plus. - À l'aise avec la data visualisation, quel que soit l'outil. - Autonome et capable de structurer en partant d'une feuille blanche. Requirements - Durée de la mission : 3 mois - Rythme (jours / semaine) : 2 à 3 jours par semaine - TJM ou fourchette : à discuter - Remote / présentiel : En remote avec une phase d’on-boarding à Paris ou Lyon. - Date de démarrage : ASAP Benefits - Un projet ambitieux, qui a un réel impact positif sur la société. Notre objectif, 100 millions de repas sauvés par an ! - Une culture d'entreprise fondée autour de valeurs de solidarité sociale et environnementale, de diversité et de bienveillance. - Un partage transparent et régulier de la stratégie de la part du COMEX. - Un accompagnement complet dès tes premiers pas en tant que phénicien.ne, avec un onboarding à Paris sur 2 jours. - Des formations internes régulières pour la montée en compétences. - La possibilité de s'investir dans des projets transverses. Company Description Chez Phenix, nous ne cherchons pas une expérience à tous prix mais nous évaluons le potentiel ! Toutes nos offres sont évidemment ouvertes aux personnes en situation de handicap.

• Develop and maintain dashboards, KPIs, and analytical deliverables with end-to-end accountability for data accuracy, metric definitions, and stakeholder usability. • Use SQL and Power BI to query, model, and visualize data — building reliable reports that support business decision-making. • Collaborate with commercial, product, and Data Engineering teams to translate requirements into clear, actionable analytics. • Monitor data quality, flag inconsistencies early, and support corrective actions with engineering partners. • Contribute to metric standardization and documentation — helping ensure consistent definitions across reports and tools. • Work in Git-based workflows (branches, pull requests) for SQL and BI assets, following team standards for versioned analytics delivery. • Support team initiatives such as centralized KPI layers, structured self-service, and the migration toward more robust analytics operations — including CI/CD for BI where applicable. • Deliver ad hoc analyses with limited supervision, connecting insights to business questions and recommending next steps.

Role Description Ready to embark on the quest of joining Hack The Box? At the end of this thrilling journey, you'll become a proud member of Hack The Box, with the ultimate mission to help cybersecurity professionals and organizations enhance their cyber-attack readiness. Get ready for an exciting adventure into the world of cybersecurity! ✨The core mission of the Data Analyst: - Be the analytical engine behind important client relationships. - Use data to prove the ROI of our cybersecurity training platform. - Navigate complex datasets using SQL to uncover how training impacts human risk. - Present insights to executive level stakeholders using storytelling expertise. 🏢 Location & Work Mode: - US (East Coast preferred) - Fully Remote 🍺 The fellowship you’ll be joining: - Part of the Federal Sales team, reporting to the SVP of Global Federal & SLED. - Collaborate closely with account executives, BDRs, Solutions Engineers, and Customer Success. - Work closely with the Data Engineering team. ⚔️ Technology tools & weapons you’ll be using: - Looker (primary) and Tableau - SQL on BigQuery (Snowflake a plus / legacy) - Python for analysis, automation, and statistics - Excel for modeling and ad-hoc work - Comfort using AI-assisted tooling (LLM copilots) to accelerate analysis and prototyping 🚀 The adventures that await you after becoming a Data Analyst at Hack The Box: - Strategic client consultation — Partner with Federal agency stakeholders to translate compliance and security needs into data-driven success plans. - ROI modeling & data storytelling — Use SQL and Python to extract and shape large datasets, surfacing correlations between training engagement and reduced security incidents. - Actionable behavioral insights — Run deep-dive analysis on user behavior and simulation logs to identify high-risk cohorts. - Technical data integrity — Maintain rigorous data hygiene by auditing the flow of training telemetry from platform to reporting layer. - Stakeholder & relationship management — Participate in Executive Business Reviews (EBRs) to discuss client progress and collaborate with Product and Data Engineering. Qualifications - Data Manipulation: Expert-level SQL or Snowflake for querying complex relational databases. - Experience with Python for data cleaning, automation, and statistical analysis. - Mastery of Looker or other visualization tools. - High proficiency in Excel (Pivot Tables, VLOOKUPs, modeling). - Strong communication skills to explain technical data clearly and persuasively. - Ability to build cohesive presentations that tell a story. - Skilled at managing expectations across diverse departments. - Familiarity with customer success metrics, industry context in EdTech or cybersecurity. Requirements - Ability to translate raw data into useful insights for executives. - Experience in building interactive Looker/Tableau dashboards and presentations. - Experience in running deep-dive analysis on user behavior. - Ability to maintain data integrity and conduct rapid prototyping. Benefits - Compensation: USD 95,000 - 120,000 Gross Annual - Medical, Dental & Vision (employee coverage 100% paid for by Hack The Box) - 401K w/ employer match - Employer-paid Life and AD&D Insurance - Supplemental Life Insurance - Short-term and Long-term Disability - Healthcare and Dependent Care FSA - Paid paternity & maternity leave - 25 annual leave days - Home Office Allowance - Dedicated budget for training and professional development - State-of-the-art equipment - Full access to the Hack The Box lab offerings