{"id":2738153,"url":"https://alion.io/job/nov-data-analyst-2","title":"Data Analyst","company":{"id":1814757,"name":"NOV","domain":"nov.com","url":"https://alion.io/company/nov-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":76,"open_postings":79,"ghost_share":0,"stale_share":0.962,"repost_share":0,"time_to_fill_p50_days":25,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Houston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":58000,"max_usd":111000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":900},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"CI/CD","optional":false},{"name":"GitHub","optional":false},{"name":"Matplotlib","optional":false},{"name":"Plotly","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Seaborn","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false}],"status":"live","first_seen_at":"2026-10-16T15:06:18Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-16T19:45:53Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"The role will partner with teams across the organization to build analytics products that improve demand planning, supply chain performance, and operational decision-making. The role will work with ERP and MRP data, translate business needs into technical solutions, and develop scalable applications, visualizations, and automated workflows. Success means delivering reliable solutions that demonstrate business value and return on investment.\n Develop and deploy analytics solutions using advanced Python and Snowflake SQL.\nIntegrate, transform, and analyze large relational datasets from ERP, MRP, and other enterprise sources.\nBuild interactive dashboards and analytics applications using Power BI, SIGMA, Streamlit, or similar tools.\nDesign and maintain Snowflake architectures and support migrations across development, test, and production environments.\nBuild cloud-native, containerized applications and services, including front ends, back ends, APIs, and service-account integrations.\nCreate GitHub workflows and CI/CD pipelines to automate the movement of Python and Snowflake code and data across environments.\nApply development practices such as test-driven development, validation, secure handling of credentials, and production rollback planning.\nTranslate business requirements into technical projects and explain technical issues in terms of business impact.\nWork with manufacturing and supply chain processes, including order-to-cash, procure-to-pay, and demand-to-deliver.\nCollaborate with cross-functional teams across geographies and communicate findings to technical teams, business partners, and executives.\nParticipate in Agile project work, including sprint planning and regular team check-ins.\nPerform other work related tasks as assigned.\nComply with all NOV Company and HSE policies and procedures.\n Three or more years of professional data analytics experience in manufacturing, supply chain, or a related environment.\nAt least three years of experience working with ERP or MRP data.\nAdvanced proficiency in Python and SQL, including hands-on experience with Snowflake.\nExperience with Snowflake architecture and migrating code or data between environments.\nStrong experience building dashboards or interactive analytics applications with Power BI, SIGMA, Streamlit, or similar tools.\nExperience developing and deploying enterprise-scale solutions in cloud environments.\nProficiency with at least one data visualization library, such as Matplotlib, Seaborn, or Plotly.\nUnderstanding of ERP and MRP data structures and manufacturing or supply chain workflows.\nDemonstrated ability to deliver business impact and ROI through analytics.\nStrong communication skills, including the ability to explain complex technical concepts to non-technical audiences and influence executive stakeholders.\nExperience working with cross-functional teams across multiple geographies.","description_format":"text","description_chars":2892,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Petroleum & Mining Engineering","Oil & 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