{"id":3669376,"url":"https://alion.io/job/red-global-data-analyst","title":"Data Analyst","company":{"id":3865601,"name":"RED Global","domain":"redglobal.com","url":"https://alion.io/company/redglobal","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Looker","optional":false},{"name":"Metabase","optional":false},{"name":"Power BI","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Agile","optional":true},{"name":"Python","optional":true},{"name":"Scrum","optional":true}],"status":"live","first_seen_at":"2026-11-01T08:10:04Z","employer_posted_date":null,"last_verified_at":"2026-11-01T08:10:04Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Key Responsibilities\nInsight Generation & Business Strategy: Partner with cross-functional leadership (Product, Growth, Finance, Operations) to identify trends, diagnose churn/growth drivers, and discover high-value business opportunities.\n\nAnalytics Engineering & Data Modeling: Write clean, modular, and version-controlled SQL models (using tools like dbt) to transform raw data into well-structured, production-ready tables.\n\nModern Visualization & Storytelling: Design intuitive, dynamic dashboards and narrative reports (using Lightdash, Looker, Metabase, Tableau, or Power BI) that drive decision-making rather than just display metrics.\n\nData Quality & Governance: Establish data definitions, document metrics in a central data catalog, and ensure high standards for data accuracy, testing, and reliability.\n\nAI & Workflow Automation: Leverage AI-assisted analytics workflows and automated pipelines to speed up data exploration and deliver real-time operational alerts.\n\nRequirements & Qualifications\nExperience: 2–5 years of experience in a data analytics, product analytics, or business intelligence role.\n\nAdvanced SQL & Modeling: Strong mastery of SQL (window functions, CTEs, performance optimization) and familiarity with modern data transformation practices.\n\nModern Data Stack: Hands-on experience with cloud data warehouses (e.g., Snowflake, BigQuery, Databricks) and BI/semantic layer tools.\n\nBusiness Acumen & Storytelling: Ability to translate complex quantitative findings into clear, actionable recommendations for non-technical stakeholders.\n\nAnalytical & Statistical Mindset: Solid understanding of basic statistical concepts (hypothesis testing, confidence intervals, regression analysis).\n\nVersion Control & Collaboration: Basic knowledge of Git/GitHub workflow for managing analytics code.\n\nNice-to-Haves\nExperience using dbt (data build tool) for analytics engineering.\n\nProficiency in Python or R for exploratory data analysis, automation, or statistical modeling.\n\nExperience with product analytics platforms (e.g., Mixpanel, Amplitude, PostHog).\n\nBackground in agile/scrum environments.\n\nTech 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