{"id":4159066,"url":"https://alion.io/job/motion-applied-product-data-analyst","title":"Product Data Analyst","company":{"id":3061386,"name":"Motion Applied","domain":"motionapplied.com","url":"https://alion.io/company/motionapplied","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Woking, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Power BI","optional":true},{"name":"Tableau","optional":true},{"name":"Time Series","optional":true}],"status":"live","first_seen_at":"2026-11-12T11:37:41Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T11:37:41Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Background\nAt Motion Applied - Connected Intelligence (CI), we create cutting-edge wireless connectivity solutions that are transforming customer experience across the transport industry. We create solutions that improve service effectiveness and cost-efficiency for customers, delivering high-quality internet connectivity services.\nBy applying our expertise, we deliver real benefits and pioneer a better future.\nPurpose of the Role\nYou will investigate data from our connectivity products and live operations to identify patterns, define reliable analytical logic and help convert evidence into product features and automation. Your work will move beyond one-off reporting: you will create reusable measures, definitions, classifications and validation cases that software and data engineers can implement, test and operate in production.\nYou will work across telemetry, network, location, device, service-performance and commercial data. You will turn loosely defined product or operational questions into measurable hypotheses and repeatable analyses, establishing what data, transformations and quality controls are required.\nWorking with Product Managers, Systems Engineers, Software Engineers and Data Engineers, you will define and validate analytical logic. Data Engineers will provide or productionise data assets where appropriate, while you will own the analytical definition, evidence, test approach and refinement of the logic.\nYou will use deterministic rules where reliability, explainability and repeatability are required, and apply statistical, machine-learning or large language model approaches only where they add demonstrable value and can be appropriately validated.\nPrincipal Accountabilities\nInvestigate and structure new product insights\nExplore telemetry, network, location, device, operational and commercial datasets to identify useful patterns, behaviours, anomalies and product opportunities. \nTurn ambiguous stakeholder questions into measurable definitions, testable hypotheses and repeatable analytical methods. \nAssess data availability, quality, lineage and limitations, and define any additional data, transformations or reference datasets required. \nClean, combine and validate data from multiple sources, documenting assumptions, definitions and methods so results are traceable and reproducible. \nProduce evidence and analytical logic that can be reused in products and operational processes, rather than only in presentations, dashboards or static reports.\nConvert findings into deterministic product logic\nDefine the clear sequence from source data, to metric or classification, to observed event or behaviour, to a deterministic rule or product response. \nSpecify thresholds, exceptions, precedence, confidence measures, edge cases and validation criteria clearly enough for engineering teams to implement and test. \nCompare candidate rules or models against historical and live operational outcomes, quantifying false positives, false negatives and areas of uncertainty where appropriate. \nDistinguish between deterministic logic, statistical inference, machine learning and LLM-based approaches, selecting the simplest reliable method that meets the need. \nUse AI-assisted analytics and LLMs responsibly where they add value, without substituting generated outputs for reliable rules, evidence, traceability or validation.\nEnable product features and automation\nWork with Product Managers, Systems Engineers and Software Engineers to convert validated analytical concepts into product requirements, acceptance criteria and test cases. \nCreate reusable definitions, classifications, calculations and reference logic that can be maintained as governed product assets. \nSupport engineering during implementation by clarifying logic, validating outputs and refining rules using representative data. \nHelp develop analytics-driven capabilities such as fault detection, service optimisation, operational alerts, coverage analysis and automated recommendations. \nMonitor implemented logic against real-world outcomes and recommend controlled changes when performance, operating context or available data changes.\nCommunicate and collaborate\nPresent findings clearly to technical and non-technical audiences, separating evidence, assumptions, interpretation and recommendation. \nExplain analytical limitations and trade-offs and recommend practical next steps where the evidence supports them. \nContribute analytical artefacts within version control and participate in peer review, agile delivery and cross-functional product discovery. \nPromote responsible use of data, including appropriate consideration of privacy, governance, security and customer commitments. \nLocation\nThis role is based at our head office in central Woking. The role is included in our hybrid working policy, with the expectation of a minimum of two days a week in the office, coordinated with other members of the Engineering team.\nBasic Qualifications and Experience\nBachelor's degree in a numerate discipline such as Mathematics, Physics, Computer Science, Statistics, Engineering or Economics, or equivalent practical experience. \nExperience using data to investigate real-world product, engineering or operational problems. \nProficiency in SQL and confidence working with relational or analytical datasets. \nWorking knowledge of Python or another analytical language, including relevant data analysis libraries. \nExperience cleaning, joining, validating and interpreting data from multiple sources. \nExperience turning loosely defined questions into measurable definitions, repeatable analyses and documented conclusions. \nAbility to define metrics, classifications, rules or thresholds and explain how they should be validated. \nAbility to communicate analytical findings and limitations clearly to technical and non-technical audiences. \nAbility to write and speak English fluently. \nDesirable Experience and Development Areas\nExperience analysing telemetry, IoT, communications, networking, geospatial, time-series or event-based data. \nExperience defining analytical rules, classifications or algorithms that have subsequently been implemented in production systems. \nExperience with a visualisation or business-intelligence tool such as Power BI, Tableau, QuickSight or an equivalent platform. \nFamiliarity with cloud data platforms and services, particularly AWS. \nExperience validating rules or models against real-world outcomes, including false-positive and false-negative analysis. \nUnderstanding of deterministic logic, statistical methods, optimisation, machine learning and when each is appropriate. \nExperience using AI-assisted analytics tools or LLMs responsibly, including evaluation and validation of generated outputs. \nExperience with version control, reproducible analysis, automated testing or peer review of analytical work. \nUnderstanding of data quality, data governance, privacy, security and responsible use of data. \nExperience contributing within agile or lean cross-functional product teams. \nWhat Success Looks Like\nProduct and operational questions are converted into clear, measurable definitions and repeatable analyses. \nAnalytical findings are supported by traceable evidence and explicit assumptions. \nRules, thresholds and validation cases are sufficiently clear for engineering implementation and test. \nReusable analytical assets and product logic reduce reliance on one-off reports and manual interpretation. \nImplemented features continue to be validated against real-world outcomes and refined through controlled change. \nGeneral Requirements\nAll employees must ensure compliance with the Company Health and Safety Policy and all relevant statutory Health and Safety legislation.\nThis job description may not detail all duties allocated to the post holder, nor cover duties of a similar nature that are commensurate with the role and may from time to time be reasonably required by the relevant manager.\nMotion Applied is committed to Diversity, Equality and Inclusion (DEI) and promotes DEI in all we do. Motion Applied is also a member of the UK Government Disability Confident Scheme","description_format":"text","description_chars":8148,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Hybrid work"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Motorsports","Engineering Services"],"lifecycle":[{"event":"open","at":"2026-11-12T11:37:41Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"Licensed UK visa sponsor (Senior or Specialist Worker, Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Business Mobility: Senior or Specialist Worker; Skilled Worker","cap_exempt":false,"checked_at":"2026-11-12T09:37:45+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":79,"reasons":["conf:1","win:early"],"computed_at":"2026-11-12T13:09:18Z"},"pay":null,"html_url":"https://alion.io/job/motion-applied-product-data-analyst","json_url":"https://alion.io/job/motion-applied-product-data-analyst.json","meta":{"generated_at":"2026-11-12T13:09:18Z","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":27281,"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":3061386},"rest":"https://alion.io/mcp/rest/get_company?id=3061386"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmotion-applied-product-data-analyst"},{"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%2Fmotion-applied-product-data-analyst"},{"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%2Fmotion-applied-product-data-analyst"},{"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/motion-applied-product-data-analyst\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmotion-applied-product-data-analyst"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4159066}},{"tool":"search_jobs","arguments":{"company":"motionapplied.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4159066},"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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