{"id":2506774,"url":"https://alion.io/job/next-challenge-middle-data-analyst","title":"Middle Data Analyst","company":{"id":4430494,"name":"Next Challenge","domain":"nextchallenge.com","url":"https://alion.io/company/next-challenge","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_city","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Yerevan, Armenia"],"countries":["AM"],"hiring_countries":["AM"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":17000,"max_usd":41000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1415},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Looker","optional":false},{"name":"Power BI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"ETL/ELT","optional":true}],"status":"live","first_seen_at":"2026-09-14T18:51:40Z","employer_posted_date":null,"last_verified_at":"2026-09-14T18:51:40Z","board_verified":false,"closed_at":null,"days_open":29,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":29},"description":"Role Overview:\n\nWe’re looking for an experienced Middle Data Analyst to join analytics team in the iGaming industry. You’ll take ownership of complex analytical tasks, drive data- informed decisions across multiple business functions, and serve as a go-to expert for data quality, player behaviour analytics, and reporting. If you have a solid background in gambling analytics and love working with large datasets, we want to hear from you.\n\nResponsibilitiesKey Responsibilities:\n\n Design and own end-to-end analytical workflows in Amazon Redshift — complex multi-step SQL: window functions, CTEs, large-scale joins, and performance tuning;\n\n Conduct deep-dive player behaviour analyses: segmentation, RFM modelling, cohort analysis, LTV forecasting, and churn prediction;\n\n Analyse A/B test results — interpret statistical significance, evaluate group comparability, identify confounding factors, and deliver clear recommendations to stakeholders;\n\n Track and analyse iGaming KPIs — GGR, NGR, bonus abuse index, deposit/withdrawal trends, player LTV, and churn — proactively flagging anomalies;\n\n Integrate and actively apply AI tools into day-to-day analytical work: prompt engineering, AI-assisted SQL generation, automated insight summarisation;\n\n Translate complex data findings into clear, actionable outputs for non- technical stakeholders via Excel reports and presentations;\n\n Learn and work in EasyMorph for reporting and data preparation tasks as part of team onboarding.\n\nRequired qualificationsRequired Skills & Experience:\n\nTechnical skills:\n\n 3–4 years of hands-on experience as a Data Analyst in iGaming or online gambling — mandatory;\n\n Advanced SQL in Amazon Redshift — window functions, CTEs, subqueries, query optimisation, and working with large-scale datasets;\n\n Experience with BI tools (Power BI, Tableau, Looker, or similar) - working with dashboards and using them to extract insights;\n\n Proficiency in Excel: advanced pivot tables, vlookups and executive-level reporting;\n\n Strong command of iGaming KPIs: GGR, NGR, player LTV, churn rate, bonus abuse metrics, deposit/withdrawal volumes;\n\n Solid understanding of A/B test analysis — interpreting p-values, confidence intervals, and effect sizes; experience evaluating pre-test group balance and flagging randomisation issues;\n\n Practical use of AI tools in analytical workflows: LLMs for insight generation, AI-assisted querying, prompt engineering for data tasks;\n\n Strong data quality mindset — ability to sense-check numbers, investigate inconsistencies, and ensure analytical accuracy;\n\n Clear English communication, written and verbal (upper-intermediate+).\n\nNice to Have:\n\n Familiarity with Amazon QuickSight: navigating dashboards, using built-in features (Q / flow), filters, and calculated fields;\n\n Exposure to EasyMorph or similar ETL/data preparation platforms.\n\nSoft Skills:\n\n High ownership and autonomy — you manage your tasks end-to-end without hand-holding;\n\n Structured analytical thinking — you break down ambiguous business questions into clear data problems;\n\n Proactive communication — flagging anomalies, pushing back on flawed assumptions, and keeping stakeholders aligned;\n\n Ability to manage multiple priorities and deliver under deadlines in a fast-paced environment;\n\n Collaborative mindset — comfortable working across teams and supporting junior colleagues.\n\nAdditional informationThe company guarantees you the following benefits:\n\n A positive workplace atmosphere that creates a culture of collaboration and support, making it a place you'll love working in;\n\n Competitive compensation and regular career development reviews;\n\n Flexible working hours and remote working options, you'll enjoy the freedom that the company provides;\n\n A generous vacation and sick leave policy, allowing you to take time off and enjoy a work-life balance;\n\n Financial assistance for professional development, helping you stay ahead of the curve and love your career path;\n\n Educational Allowances that give you the opportunity to expand your knowledge and experience;\n\n You'll have a monthly allowance for personal activities, giving you the opportunity to pursue your interests and hobbies outside of work;\n\n A comprehensive health insurance plan, depending on your current location;\n\n Referral program with financial rewards for bringing top talent to the company;\n\n Engaging in team-building activities and corporate parties.\n\nInterview process:\n\n HR Interview with the Recruiter;\n\n 30 minutes’ technical interview;\n\n 1.5-hour Final interview with the team;\n\n Final decision.\n\nIf you find this opportunity right for you, don't hesitate to apply or get in touch with us if you have any questions!","description_format":"text","description_chars":4689,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Generous vacation","Health insurance","Professional 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