{"id":144821,"url":"https://alion.io/job/artefact-data-analyst","title":"Data Analyst","company":{"id":53062,"name":"Artefact","domain":"artefact.com","url":"https://alion.io/company/artefact-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":74,"open_postings":115,"ghost_share":0.348,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":124,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Beirut, Lebanon"],"countries":["LB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":71000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1536},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Shiny","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"R","optional":true}],"status":"live","first_seen_at":"2026-08-19T11:21:38Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-16T12:27:33Z","board_verified":true,"closed_at":null,"days_open":58,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":57},"description":"About us:\nArtefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.\nOur broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.\nWe have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.\nAbout the role:\nAs a Data Analyst, your role will encompass:\nConducting projects to accompany the transformation of your clients’ businesses through the effective collection, processing, and visualisation of data\nExtracting valuable insights from our clients’ marketing-related data sources.\nDesigning dashboards for marketing decision-making while taking into account the business needs\nAccompanying our clients in the conception and implementation of data architectures and data pipelines, from collection to monitoring.\nActively contributing to the expertise level and competencies of the Data & Analytics team\nClosely collaborate with the other divisions (Media & Activation, Creation, Consulting, Data Science and Data Engineer) to provide comprehensive services to your clients\nQualifications\nHaving an academic level of education (Bachelor or Master), in a data-driven working environment, you have experience or have knowledge in :\nA minimum of 1 year of work experience in a data-driven working environment\n1 or more data collection (Google Analytics, Adobe Analytics, SQL database, CRM database, transactional data)\n1 or 2 programming languages among SQL, Python and/or R.\nMust have extensive experience in either Tableau or Power BI. Experience in both is preferred but not essential.\nIdeally, you have the knowledge or take interested in one or more of the following technologies:\n1 Google Cloud Platform resource (Big Query, Google Cloud Storage) or its equivalent in Azure or AWS\nYou know how to connect to an API through the knowledge of the different authentication method (OAuth, HTTP Basic, API key)\n1 advertising tool, linked to tracking and/or analytics in a marketing context (Google Analytics, Adobe Analytics, DMP, DSP, Adservers, DV 360…)\n1 ETL tool (Airflow, Dataiku, Dataflow, Dataprep…)\n1 web application (R-Shiny, Python Flask) that you have industrialized\nAs a bonus, you have:\nBasic knowledge of statistics\nBasic knowledge of machine learning and data engineering\nWhy you should join us\nArtefact is the place to be: come and build the future of marketing\nProgress: every day offers new challenges and new opportunities to learn\nCulture: join the best team you could ever imagine\nEntrepreneurship: you will be joining a team of driven entrepreneurs. 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