{"id":1119740,"url":"https://alion.io/job/dolead-analytics-product-manager","title":"Analytics Product Manager","company":{"id":172990,"name":"Dolead","domain":"dolead.com","url":"https://alion.io/company/dolead","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":null},"role":"Product","role_family":"Product","seniority":"senior","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":["Paris, France"],"countries":["FR"],"hiring_countries":["FR"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":53000,"max_usd":83000,"period":"year","method":"role_seniority_country_cell","sample_n":71},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Looker","optional":false},{"name":"Machine Learning","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-21T07:54:53Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-10-19T20:43:12Z","board_verified":true,"closed_at":null,"days_open":28,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":28},"description":"Dolead is a global leader in Lead Generation: we help 200+ clients across 15 countries in Europe and North America turn paid media into measurable business outcomes.\nBehind that performance sits a growing Data & Science team working on some of the most strategic topics at Dolead: business intelligence, scoring, optimization, internal data products and decision-making tools used across the company.\nWe’re looking for a Analytics Product Manager to join the team in Paris.\nThis is not a traditional Product Manager role.\nWe’re looking for someone with a strong Data Analytics background who wants to progressively expand their scope towards Product: someone comfortable going deep into an analysis in Looker or SQL, defining the right KPIs, challenging how a business question is framed, while also helping the team turn business needs into clear priorities and impactful data products.\nYou’ll join a Data & Science team composed of 2 Data Engineers, 1 Data Scientist, 1 Analytics Product Manager and our Head of Data, to whom you’ll report directly.\nYour role\nYour scope will sit primarily at the intersection of Analytics and Product, with Analytics remaining an important part of your day-to-day work.\nOwn Analytics & Business Insights\nYou’ll progressively become one of the go-to people at Dolead when teams need to understand what the data is really telling them.\nYou will:\nConduct deep-dive and ad-hoc analyses to help teams make better business decisions.\n\nWork autonomously with SQL and Looker to investigate questions, test hypotheses and identify opportunities.\n\nBuild and maintain dashboards, reports and KPIs for operational teams and executive leadership.\n\nPartner with business teams to define the right metrics and ensure they are interpreted correctly.\n\nChallenge analyses and assumptions when needed: not only producing numbers, but helping teams understand what conclusions can (and cannot) reasonably be drawn from them.\n\nHelp improve data accessibility and enable teams to become increasingly autonomous in their use of Looker.\n\nContribute to data quality, metric consistency and governance across the company.\n\nHelp shape our Data Product roadmap\nTogether with the Head of Data, you’ll help translate business priorities into a clear roadmap for the Data & Science team.\nYou will:\nGather and structure needs from teams such as Sales, Customer Success and Performance Marketing.\n\nHelp frame problems, assess opportunities and prioritize initiatives based on business impact and effort.\n\nTranslate business needs into clear requirements, user stories and actionable specifications for the Data & Science team.\n\nContribute to the quarterly roadmap and prepare its presentation to our leadership team.\n\nFollow objectives throughout the quarter and help keep the team focused on the initiatives that matter most.\n\nTrack the adoption and business impact of the products and features delivered, and recommend iterations when needed.\n\nYou won’t own the roadmap in isolation: you’ll build it closely with the Head of Data, particularly on the most strategic initiatives.\nDrive adoption of Data products\nShipping a dashboard, model or feature is only useful if people actually use it.\nYou will:\nCoordinate the rollout of new Data & Science products and features.\n\nDefine and monitor adoption and impact metrics.\n\nCreate documentation and training when needed.\n\nWork with internal users to understand friction points and improve the products after launch.\n\nHelp teams adopt better habits around data-driven decision making.\n\nKeep the squad moving\nYou’ll also help the Data & Science team maintain clear priorities and effective working routines.\nYou will:\nFacilitate daily stand-ups and team rituals.\n\nHelp define sprint goals and organize the team's backlog.\n\nTrack milestones, dependencies and blockers.\n\nFacilitate retrospectives and follow up on improvement actions.\n\nProtect the team from unnecessary ad-hoc requests when they threaten agreed priorities.\n\nThis represents a smaller part of the role: we’re not looking for a Scrum Master, but for someone capable of bringing structure and momentum to the team.\nYour profile\nWe think you'll thrive in this role if:\nYou have 5+ years of experience in Data Analytics, Data Science or a closely related field.\n\nYou have a strong analytical foundation and enjoy getting hands-on with data.\n\nYou are highly comfortable with SQL and BI tools such as Looker.\n\nYou understand core statistical concepts such as distributions, probability and confidence intervals, and know when they matter in a business analysis.\n\nYou can independently define KPIs and build dashboards from initial business question through to final output.\n\nYou are comfortable challenging stakeholders on the way a question is framed or an analysis is interpreted.\n\nYou want to move beyond pure analytics and take increasing responsibility for Product thinking, prioritization and delivery.\n\nYou can translate ambiguous business needs into structured problems and actionable requirements.\n\nYou communicate clearly with both technical and non-technical stakeholders.\n\nYou are comfortable working in French and English.\n\nYou don't need to be a Data Engineer or Machine Learning expert. Understanding those environments is useful, but we’re primarily looking for someone excellent at analytics, business reasoning and turning data into decisions.\nExperience with Product Management or Data Products is a plus, but we’re equally interested in strong Data Analysts or Data Scientists who are ready to make that transition.\nWhat success looks like\nAfter 6-12 months, we’d expect you to have become:\nA trusted analytics partner across Dolead: when someone needs a meaningful analysis in Looker, you’re naturally one of the people they turn to, and you can independently answer most of those questions.\n\nA key contributor to the Data & Science team's quarterly roadmap, from preparation through presentation to our leadership team.\n\nThe person helping the squad maintain clear rituals, objectives and priorities throughout each quarter.\n\nSomeone who consistently helps move conversations from “what does the data say?” to “what should we do about it?”\n\nPractical details\nPermanent contract\n\nBased in Paris\n\nDuring your first six months, we expect you to work from our Paris office around 2 days per week, particularly to build strong relationships with the Data, Tech and business teams. We can revisit the setup once you're fully onboarded.\n\nFrench and English are both required.\n\nBenefits:\nHealth Insurance: individual & family coverage through SideCare - 100% covered by Dolead\nMeal Vouchers: Swile card - 50% covered by Dolead\nTime Off: 25 days of paid leave + 8 RTT days\nRemote Work: 2 to 4 days per week, depending on team organization\nMulticultural Environment: 13+ nationalities represented across the company\nStrong Company Culture: regular team events and fun activities\nOffice: located in the heart of Paris, near Opéra\nRecruitment Process:\nFirst interview with Florian, Talent Acquisition Manager\n\nInterview with Thibault, Head of Data and Hiring Manager, including a deeper assessment of your technical and analytical skills\n\nTeam meeting with members of the Data & Science team\n\nFinal interview with Guillaume , CEO, focused on business understanding, strategic thinking, and overall fit with Dolead\n\nDolead is committed to providing equal opportunities to all candidates. All applications are considered regardless of race or ethnic origin, opinions or beliefs, gender, sexual orientation, health status, or disability.","description_format":"text","description_chars":7551,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Health insurance"],"hiring_locations":[{"name":"France","iso":"FR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Lead Generation"],"lifecycle":[{"event":"open","at":"2026-09-22T18:21:22Z"}],"visa":[],"liveness":{"score":17,"band":"cold","label":"Long shot","p_open":1,"p_active":0.302,"p_room":0.55,"age_days":27,"expected_fill_days":22,"reasons":["conf:3","win:tail"],"computed_at":"2026-10-19T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/dolead-analytics-product-manager","json_url":"https://alion.io/job/dolead-analytics-product-manager.json","meta":{"generated_at":"2026-10-19T21:16:45Z","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":385,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"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":172990},"rest":"https://alion.io/mcp/rest/get_company?id=172990"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdolead-analytics-product-manager"},{"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%2Fdolead-analytics-product-manager"},{"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%2Fdolead-analytics-product-manager"},{"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/dolead-analytics-product-manager\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdolead-analytics-product-manager"}]}