{"id":3201335,"url":"https://alion.io/job/intercontinental-exchange-senior-data-analyst-i-with-python-experience","title":"Senior Data Analyst I with Python Experience","company":{"id":58612,"name":"Intercontinental Exchange","domain":"ice.com","url":"https://alion.io/company/intercontinental-exchange","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jibe","truth_index":{"grade":"B","score":75,"open_postings":34,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":25,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":14500,"max_usd":30000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":25},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-08-25T17:08:00Z","employer_posted_date":"2026-10-24","last_verified_at":"2026-10-29T16:39:37Z","board_verified":true,"closed_at":null,"days_open":65,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":65},"description":"Job Purpose\nICE is the leading cloud-based platform provider for the mortgage finance industry. ICE enable lenders to originate more loans, reduces origination costs, and reduce the time to close, all while ensuring the highest levels of compliance, quality, and efficiency.\nWe are seeking a highly motivated and detail-oriented Data Analyst to join our team. The ideal candidate will be responsible for collecting, analyzing, and interpreting large datasets to provide actionable insights to drive business decisions. The Data Analyst will work closely with cross functional teams to identify the trends and develop reports.\nResponsibilities\nCollect, clean and validate data from various sources.\nPerform data analysis to identify trends, patterns and correlations based on the data.\nDevelop and maintain the dashboard and reports to visualize key metrics.\nCollaborate with stakeholders to understand the requirements and provide data driven solutions.\nConduct analysis to support business initiatives and strategic decision making.\nIdentify opportunities for process improvement and automation.\nCommunicate findings and insights to stakeholders.\nWork in 24 / 7 shifts.\nKnowledge and Experience\nBachelor’s or Master’s degree in related technical field\n3+ years of experience as a Data Analyst or equivalent.\nProficiency in SQL and experience working with databases.\nExperience with Data visualization tools like Tableau, Power BI or similar.\nFamiliar with Python and other programming languages.\nPreferred Knowledge and Experience\nAbility to collaborate effectively in a team environment.\nExcellent communication and presentation skills Practical application ability.\nStrong interpersonal skills, accuracy with numbers, and attention to detail.\nAbility to multi-task and meet stringent deadlines.\nKnowledge of cloud platforms such as AWS or Azure.\nExperience working in Agile environment.","description_format":"text","description_chars":1889,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Stock Exchanges & Market Infrastructure"],"lifecycle":[{"event":"open","at":"2026-10-24T08:18:53Z"}],"visa":[],"liveness":{"score":12,"band":"cold","label":"Long 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