{"id":3697855,"url":"https://alion.io/job/finom-senior-data-analyst-lifecycle-2","title":"Senior Data Analyst, Lifecycle","company":{"id":8965,"name":"Finom","domain":"finom.co","url":"https://alion.io/company/finom","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":84,"open_postings":17,"ghost_share":0,"stale_share":0.588,"repost_share":0.059,"time_to_fill_p50_days":43,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Cyprus","Spain"],"countries":["CY","ES"],"hiring_countries":["CY","ES"],"hiring_countries_total":2,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Braze","optional":false},{"name":"Databricks","optional":false},{"name":"Git","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-03T16:31:51Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-05T09:58:39Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About The Role\nAbout the role\nWe are looking for a Senior Data Analyst, Lifecycle to own measurement and experimentation for how new customers activate and existing ones stay.The metrics are yours whatever the lever: CRM campaigns, promos and incentives, onboarding changes in the product, and a next best action layer that decides what each customer should see next. You decide what we test, how we test it and what we do with the answer. You also bring your own hypotheses on where the next win is.\nWhat You'll Do\nWhat you'll do\nJoin activation and retention initiatives before anything is built, whether they come from CRM, growth or product. Define the primary metric, check against historical data whether the effect is detectable at our volumes, and turn solution-shaped requests into problem-shaped ones.\nDesign and analyse experiments end to end: hypothesis, guardrails, audience split, MDE and power, stopping rule, and a readout that ends in ship, iterate or kill.\nCorrect for channel and engagement bias (not everyone opens email, and open and click populations are self-selected). When a clean A/B is impossible, use causal inference: diff-in-diff, matching, synthetic control or geo designs.\nBring hypotheses of your own. Launch a few new experiments across onboarding and the customer lifecycle, and turn one-off wins into recurring segmented flows.\nBuild deliberately simple models: segmentation, propensity, churn and dormancy scoring. They feed audiences, personalisation and incentive targeting. Over time these come together into next best action: for a given customer, which offer, feature nudge or message to send next, through which channel, and whether to send anything at all. You own the logic and the measurement of whether it beats the current rules.\nAutomate your own recurring work: audience refresh jobs, readout templates, dashboards for Activation, Onboarding and Retention. Ship models the Databricks way (scheduled jobs write tables, tables map into downstream tools such as Braze) and bring engagement data back into the warehouse to close the loop.\nWhat You Bring\nWhat you bring\nStrong SQL and Python, and a Git-based warehouse workflow with code review.\n\nExperiment design, statistics and metric design you can defend.\n\nBI experience, Power BI/Tableau or similar.\n\nStakeholder management and business sense: you can push back, reframe a request and land a recommendation with a non-technical audience.\n\nCuriosity and ownership. You run your area without waiting to be asked.\n\nNice To Have\nNice to have\nCausal inference methods and a clear sense of when each one is valid.\n\nClustering and segmentation that ends up in use, not in a slide.\n\nPredictive modelling with honest validation. Uplift modelling is a plus.\n\nBraze or a comparable CRM platform: audiences, canvases, native split testing, channel mechanics and their biases.","description_format":"text","description_chars":2864,"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":[],"hiring_locations":[{"name":"Cyprus","iso":"CY","kind":"country"},{"name":"Spain","iso":"ES","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Accounting & Tax Software","Digital Banks & Neobanks"],"lifecycle":[{"event":"open","at":"2026-11-03T18:37:24Z"}],"visa":[],"liveness":{"score":70,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.695,"p_room":1,"age_days":1,"expected_fill_days":43,"reasons":["conf:1","stale_co","wave","velocity","win:early"],"computed_at":"2026-11-05T05:54:30Z"},"pay":null,"html_url":"https://alion.io/job/finom-senior-data-analyst-lifecycle-2","json_url":"https://alion.io/job/finom-senior-data-analyst-lifecycle-2.json","meta":{"generated_at":"2026-11-05T13:40:18Z","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":17631,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-06T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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":8965},"rest":"https://alion.io/mcp/rest/get_company?id=8965"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffinom-senior-data-analyst-lifecycle-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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%2Ffinom-senior-data-analyst-lifecycle-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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%2Ffinom-senior-data-analyst-lifecycle-2"},{"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/finom-senior-data-analyst-lifecycle-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffinom-senior-data-analyst-lifecycle-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3697855}},{"tool":"search_jobs","arguments":{"company":"finom.co","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3697855},"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); https://alion.io/mcp with an Alion account has everything. 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