{"id":2596476,"url":"https://alion.io/job/mouser-ecommerce-analytics-engineer","title":"Ecommerce Analytics Engineer","company":{"id":1757709,"name":"Mouser","domain":"mouser.com","url":"https://alion.io/company/mouser-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":null},"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":35000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":22},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Alteryx","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-09T00:00:00Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-10-15T14:58:41Z","board_verified":true,"closed_at":null,"days_open":36,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":36},"description":"Collaborate with Ecommerce BI Analysts to understand business needs and translate them into efficient data structures.\nEnable analysts to focus on delivering insights by ensuring timely access to curated, high-quality datasets.\nPartner with Data Engineers to ensure data availability in staging environments.\nOwn the transformation layer between staging and analytics-ready datasets, applying business logic to create trusted sources for analysis.\nDevelop and manage layered transformation workflows that promote modularity, traceability, and alignment with governance and AI-readiness standards.\nBuild and maintain structured, reusable datasets using dbt or similar transformation tools, applying scalable logic to support analytics across ecommerce products.\nMaintain documentation, testing protocols, and data quality standards.\nEnsure data and models from on-prem applications, Google Analytics and other sources support key ecommerce metrics related to site search, customer behavior, product performance, and other relevant measures.\nLead development of scalable, modular data models (staging, intermediate, mart) that support traceability and reduce duplicative effort.\nOptimize transformation logic for performance and maintainability.\nDefine and enforce documentation and lineage standards for analytics datasets.\nWork closely with cross-functional product teams to ensure data models align with customer experience goals and ecommerce KPIs.\nExperience supporting multi-domain and multi-language international ecommerce websites.\nModerate SQL proficiency and understanding of data modeling principles.\nExperience with Alteryx or similar ETL platforms.\nAbility to optimize data models for performance and usability.\nStrong communication skills and ability to work cross-functionally.\nAdvanced SQL skills and experience with performance tuning.\nStrong understanding of ecommerce metrics and digital product data needs.\nAbility to lead data modeling efforts and mentor junior engineers.\nStrong understanding of data governance and documentation best practices.\nStrong skills in mathematics.\nStrong attention to detail.\nSolid organizational skills, ability to handle multiple projects and meet deadlines.\nGood presentation, oral, and written communication skills.\nCommunicate clearly and concisely with technical and non-technical stakeholders.\nHighly effective in working within teams with wide target audiences.\nUnderstanding of basic web programming principles, tools, and technologies.\nExperience with data that explains user behavior.\nBachelor’s degree in a related field or equivalent related work experience. Master’s degree preferred.\n2+ to 7+ years of combined experience with dbt or similar transformation tools based on level.\n2+ to 7+ years of experience with cloud data platforms and scalable data modeling based on level.\n6+ years digital analytics data (Google Analytics Preferred) experience required.\n\nThis is a summary of the primary accountabilities and requirements for this position. The company reserves the right to modify or amend accountabilities and requirements at any time at its sole discretion based on business needs. 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