{"id":802967,"url":"https://alion.io/job/xm-data-analyst-data-science-team","title":"Data Analyst - Data Science team","company":{"id":56888,"name":"XM","domain":"xm.com","url":"https://alion.io/company/xm-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":71,"open_postings":54,"ghost_share":0.407,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":180,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Athens, Greece","Limassol, Cyprus","Nicosia, Cyprus"],"countries":["GR","CY"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":51000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1854},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Plotly","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Seaborn","optional":false}],"status":"closed","first_seen_at":"2026-08-13T10:16:05Z","employer_posted_date":"2026-08-13","last_verified_at":"2026-11-02T13:21:29Z","board_verified":false,"closed_at":"2026-11-02T13:21:29Z","days_open":81,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":80},"description":"The Role:\nWe’re looking for an experienced Data Analystto join our Data Science teamand turn complex data into meaningful insights that drive smarter decisions. In this role, you’ll work with large and diverse datasets, uncover patterns and opportunities, and use advanced analytics to help solve real business challenges.\nIf you’re naturally curious, enjoy tackling complex problems, and are passionate about transforming data into actionable insights, this is an opportunity to make a real impact in a fast-paced, data-driven environment.\nThe main responsibilities of the position include:\nApply statistical analysis and data mining techniques to extract meaningful insights from large datasets\n\nPerform exploratory data analysis (EDA) to identifytrends, patterns, and anomalies\n\nDevelop reports, dashboards, and visualizations to communicate insights and monitorkey business metrics.\n\nSupport the evaluation and assessment of machine learning models through data analysis and performance reporting.\n\nContribute to the development of the department’s data science strategy and identifyopportunities where data science can deliver business value\n\nEnsurehigh standardsin data preparation, feature engineering, model evaluation, documentation, and code quality\n\nCollaborate with cross-functional teams including data engineers, data scientists, software engineers, product owners, and business stakeholders\n\nPresent insights, analysis results, and recommendations to both technical and non-technical audiences\n\nEnsure adherence to best practices in data quality, version control, and reproducible analytics\n\nMain requirements:\nUniversity degree in Mathematics, Physics, Computer Science, Engineering, Data Science, or a related quantitative field\n\nAt least 3 years of experience in data science including hands on experience with Data Analysis\n\nStrong programming skills in Python, with hands-on experience using Pandas, NumPy, and other data analysis libraries.\n\nExperience with visualization libraries in Python, such as Matplotlib, Seaborn, or Plotly\n\nHands-on experience with data visualisation and BI tools, such as Power BI.\n\nSolidunderstanding of statistics and data mining techniques\n\nExperience working with relational and non-relational databases\n\nBasic knowledge of Machine Learning concepts and techniques, with an interest in applying them to real-world data problems.\n\nStrong analytical and problem-solving skills, with excellent attention to detail.\n\nExcellentcommunication skills and the ability to work collaboratively in a team environment\n\nBenefit from:\nAttractive remunerationpackage plus performance related reward\n\nPrivate health insurance\n\nCorporate pension fund\n\nIntellectually stimulating work environment\n\nContinuous personal development and international training opportunities\n\nThe Hiring Experience: What Awaits You\nLet’sConnect - 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