{"id":4174854,"url":"https://alion.io/job/viseven-data-analysis-team-lead","title":"Data Analysis Team Lead","company":{"id":9035,"name":"Viseven","domain":"viseven.com","url":"https://alion.io/company/viseven","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":80,"open_postings":5,"ghost_share":0,"stale_share":0.8,"repost_share":0,"time_to_fill_p50_days":37,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bucharest, Romania"],"countries":["RO"],"hiring_countries":["RO"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"AWS Bedrock","optional":true},{"name":"AWS CDK","optional":true},{"name":"AWS Step Functions","optional":true},{"name":"Great Expectations","optional":true},{"name":"LLM","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-11-12T15:42:30Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T15:44:51Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"What you will own:\nTurn ad-hoc work into a clear, documented and measured delivery process.\nGrow the team's seniority through clear grades, development plans and mentoring.\nMake sure every result is validated and answers the right business question before it reaches stakeholders.\nBring engineering practices to industry standard: version control, code review, CI/CD and automated data tests for all data work.\nMake AI a safe, everyday tool of the team.\nEvolve the data platform architecture and take on the hardest technical problems.\nResponsibilities:\nAssessment and roadmap:\nAudit the team, its processes and the data platform; find bottlenecks and improvement steps.\nBuild a roadmap of changes (what we try, adopt or drop) with quick wins and measurable targets; agree it with management and review it regularly.\nProcesses and their control:\nDefine and document standards: lifecycle of an analytics request (intake → requirements → delivery → acceptance), Definition of Done, templates for requirements and reports, versioning and documentation rules.\nOptimize intake, prioritization and estimation; build a catalog of typical requests with standard solutions.\nControl execution through regular reviews and process metrics (lead time, rework rate, defects); adjust when needed.\nTeam development:\nCreate or update the competency and grade matrix (Junior → Middle → Senior → Lead) with clear promotion criteria. Build an individual development plan (IDP) for each team member and review it regularly.\nRun 1:1s, give regular structured feedback, take part in performance reviews together with the resource manager; handle underperformance.\nLaunch mentoring and knowledge sharing: internal demos, pair work, reviews as a learning tool.\nTake part in hiring: position profiles, interviews, onboarding.\nSolution validation and quality:\nIntroduce mandatory peer / lead review of analytical results before they go to stakeholders.\nCheck that the analysis answers the right business question, not just \"calculates numbers\".\nFind inefficiencies (manual routine, duplication, repeated requests) and remove them through automation and standardization.\nArchitecture and engineering practices (hands-on):\nOwn the target architecture of the data lake and reporting; introduce a layered data model (raw → cleansed → business-ready) with consistent naming, documentation and ownership.\nPut all code under version control with code review; build CI/CD and automated data tests; introduce Infrastructure as Code.\nChoose and introduce modern tools where the assessment shows real value (e.g. dbt, orchestration, data quality tools).\nOptimize performance and cost of queries and pipelines.\nTake the most complex tasks yourself, across analysis, data engineering and visualization.\nAI and market trends:\nTrack trends in analytics: AI assistants, LLMs for analysis and insight generation, self-service BI, augmented analytics, data storytelling.\nRun pilots of AI tools, measure their effect (time saved, quality, risks) and scale what works.\nSet rules for safe AI use: data confidentiality, validation of AI outputs, accountability for conclusions.\nRaise the team's AI literacy: training, internal guides, prompt libraries, best practices; work with the company's AI Adoption owner.\nPresent changes to management and stakeholders, justify investments in new tools.\nOpportunities and clients:\nTake part in pre-sales: discovery, solution design, estimates, PoCs for data and analytics opportunities.\nRequirements:\nMust have:\n5+ years in data analytics, data engineering or BI, with hands-on experience in all three: analysis, data pipelines, visualization.\n2+ years leading a team of 4+ people: 1:1s, feedback, performance, hiring.\nReal experience building or rebuilding team processes, with concrete \"before → after\" examples.\nConcrete stories of growing specialists: who, from which level, in what time, thanks to what.\nExpert SQL; solid Python for data work.\nHands-on experience with AWS data services (S3, Athena, Glue, Lambda) or their equivalents in another cloud.\nStrong data modeling: dimensional modeling, layered data architecture.\nVersion control, code review and CI/CD for data in practice.\nStrong skills in at least one BI tool (Power BI preferred).\nCritical thinking: can take apart someone else's solution and find logical and methodological errors.\nPersonal, practical use of AI in analytics work (not just general awareness), and examples of bringing a new tool or approach into a team, including overcoming resistance to change.\nExperience working with different stakeholders, including top management.\nEnglish B2+ (client communication).\nNice to have:\ndbt or another transformation framework in production.\nInfrastructure as Code (Terraform, AWS CDK); orchestration (Airflow, Step Functions).\nData quality frameworks (dbt tests, Great Expectations, Soda).\nLLM APIs inside data pipelines (e.g. Amazon Bedrock); text-to-SQL, semantic layer.\nLife sciences / pharma or marketing / omnichannel analytics.\nAWS certifications; pre-sales or consulting experience.\nPersonal qualities:\nProactivity, ownership, structured thinking, confident communication.\nLeads and influences without formal authority.\nCoaching style; can give difficult feedback and work with underperformance.\nEmotional intelligence; keeps motivation and trust in the team.\nBalanced view of AI: enthusiasm plus understanding of its limits and risks.\nHabit of continuous learning: communities, conferences, courses, experiments.","description_format":"text","description_chars":5483,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":["Continuous learning"],"hiring_locations":[{"name":"Romania","iso":"RO","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Marketing Automation","Pharma Marketing & Medical Communications"],"lifecycle":[{"event":"open","at":"2026-11-12T15:44:51Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":37,"reasons":["conf:1","win:early"],"computed_at":"2026-11-12T17:13:00Z"},"pay":null,"html_url":"https://alion.io/job/viseven-data-analysis-team-lead","json_url":"https://alion.io/job/viseven-data-analysis-team-lead.json","meta":{"generated_at":"2026-11-12T17:13:00Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":36168,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":9035},"rest":"https://alion.io/mcp/rest/get_company?id=9035"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fviseven-data-analysis-team-lead"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fviseven-data-analysis-team-lead"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fviseven-data-analysis-team-lead"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/viseven-data-analysis-team-lead\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fviseven-data-analysis-team-lead"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4174854}},{"tool":"search_jobs","arguments":{"company":"viseven.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4174854},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); 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Docs: https://alion.io/developers"}}