{"id":121830,"url":"https://alion.io/job/kpler-junior-market-data-analyst-chartering","title":"Junior Market Data Analyst – Chartering","company":{"id":4764,"name":"Kpler","domain":"kpler.com","url":"https://alion.io/company/kpler","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":57,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":40000,"max_usd":71000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":14},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Google Sheets","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"Python","optional":false},{"name":"QGIS","optional":false},{"name":"SQL","optional":false},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-08-24T15:22:10Z","employer_posted_date":"2026-08-24","last_verified_at":"2026-10-18T10:38:18Z","board_verified":true,"closed_at":null,"days_open":54,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":54},"description":"At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.\nSince our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 700 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.\nYour future position\nJoin Kpler’s Chartering team as a Junior Market Data Analyst - Chartering and play a key role in ensuring the quality and accuracy of the data that powers our Chartering products.\nKpler’s Chartering products rely on accurate vessel, ownership and market data to help charterers, shipowners and brokers make informed commercial decisions. In this role, you will work hands-on with the datasets behind these products, investigating inconsistencies, validating information and helping improve data quality at scale.\nYour work will span a range of chartering datasets, from vessel ownership and characteristics to fixtures, cargo orders, vessel positions and shipping zones. You will use SQL and Python to extract, transform and analyse data, build validation checks and investigate potential issues.\nThis is a role for someone who enjoys getting into the detail of data, asking why something doesn't look right and finding ways to identify and solve problems systematically. You will work closely with Product, Data, Research, Engineering and AI/ML teams, turning individual data issues into broader improvements across Kpler's datasets and products.\nYour mission is to:\nMonitor, validate and improve the quality of key datasets supporting Kpler's Chartering products.\nInvestigate data gaps, inconsistencies and customer-reported issues, using data analysis to understand their root causes and drive them through to resolution.\nCurate and validate vessel ownership, commercial management, operator information and relevant vessel characteristics.\nReview and benchmark AI-parsed fixtures, identifying recurring extraction errors and building validation approaches to measure and improve parsing quality.\nUse SQL to query large datasets, including cargo and AIS data, to investigate potential issues and identify incorrect or inconsistent information at scale.\nUse Python notebooks to extract, transform and analyse data and develop validation scripts and repeatable quality checks.\nMaintain and improve Kpler's chartering-specific shipping zones and geographical mappings, using tools such as QGIS.\nWork with Product, Data, Research, Engineering and AI/ML teams to provide structured feedback and help improve the quality of underlying datasets and extraction processes.\nTranslate individual data-quality issues into systematic improvements where appropriate, identifying patterns rather than only correcting individual records.\nContribute to the development of new analytical views and algorithms as the Chartering product evolves, including areas such as CPP/DPP and projected vessels.\nHelp establish and track data-quality metrics, benchmarks and processes as Chartering datasets expand.\nExperience & Background:\n1-3 years of experience in data analysis, market research, maritime/shipping, commodities or a related analytical role.\nProven hands-on experience with SQL and confidence writing queries to analyse and investigate large datasets.\nProven hands-on experience with Python, including working in notebooks and using Python for data analysis, transformation or validation.\nStrong Excel / Google Sheets skills.\nStrong analytical and problem-solving skills, with excellent attention to detail and an ability to identify patterns and inconsistencies in data.\nComfortable working with large datasets and extracting and transforming data to investigate specific questions\nDesirable:\nUnderstanding of shipping, chartering or commodity markets.\nFamiliarity with tanker and/or dry-bulk vessel segments.\nUnderstanding of concepts such as fixtures, vessel positions, cargo orders, vessel ownership and shipping geography.\nExperience working with AI/LLM-extracted or other machine-generated datasets.\nExperience with maritime data providers, brokers, shipowners, charterers or commodity trading companies.\nBehavioural Competencies\nYou are naturally curious and want to understand why data is wrong, not just identify that it is wrong.\nYou are highly detail-oriented and take a methodical approach to investigating data issues.\nYou take ownership of problems and follow them through from investigation to resolution.\nYou thrive in an environment where data quality, accuracy and continuous improvement are central to the work.","description_format":"text","description_chars":4925,"description_truncated":false,"requirements":{"experience_years_min":1,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Data Providers & Datasets","Supply Chain & Logistics Software","Financial Data & Market Intelligence"],"lifecycle":[{"event":"open","at":"2026-08-24T15:22:10Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"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; 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