{"id":3559533,"url":"https://alion.io/job/mars-senior-reporting-analyst-bi-solutions-specialist","title":"Senior Reporting Analyst / BI Solutions Specialist","company":{"id":94439,"name":"Mars","domain":"mars.com","url":"https://alion.io/company/mars","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":58,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":17,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["São Paulo, Brazil"],"countries":["BR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":34000,"max_usd":100000,"period":"year","method":"role_seniority_country_cell","sample_n":13},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Dimensional Modeling","optional":false},{"name":"Power BI","optional":false},{"name":"Azure","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"Databricks","optional":true},{"name":"Delta Lake","optional":true},{"name":"Snowflake","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-09-23T00:00:00Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-11-04T14:21:13Z","board_verified":true,"closed_at":null,"days_open":42,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":42},"description":"Job Description:\nWe are looking for a proactive, analytical, and customer-focused Senior Reporting Analyst to lead the design and delivery of high-impact BI solutions. In this role, you will combine deep technical expertise in Power BI and dimensional modeling with a keen interest in modern data engineering practices.\nYou will serve as a key bridge between internal customers and cloud data engineering teams-translating complex operational challenges and requirements into intuitive, high-performance executive dashboards while optimizing how data flows from the Lakehouse layer into semantic models.\nKey Responsibilities\nLead Requirements Discovery & Advisory:\nFacilitate discovery workshops with internal customers and cross-functional teams to define KPIs, reporting logic, and dashboard UX wireframes.\nConfidently advise internal customers on data visualization best practices, cognitive ergonomics, and user-centric analytical design.\nArchitect Robust Semantic Models & Dashboards:\nBuild scalable, high-performance Star Schema models (Fact and Dimension structures) adhering to enterprise modeling standards.\nAuthor sophisticated DAX calculations, including complex time-intelligence patterns, dynamic metrics, semi-additive calculations, and Row-Level Security (RLS).\nDesign clean, executive-ready dashboard visualizations that drive actionable decision-making for your internal customers.\nOptimize Performance & Transformation Placement:\nEvaluate transformation placement across the entire pipeline (Source vs. Lakehouse vs. Power Query/DAX) to preserve query folding and maximize refresh efficiency.\nDiagnose and resolve report and visual latency using tools such as Power BI Performance Analyzer, DAX Studio, and VertiPaq Analyzer.\nCollaborate with Data Engineering:\nPartner with Data Engineers to shape upstream Lakehouse tables, validate pipeline outputs, and ensure semantic models consistently meet internal customer service-level expectations.\nQualifications & Experience\nEssential Experience:\n3-5+ years of dedicated, hands-on experience designing and developing enterprise Power BI solutions, semantic data models, and executive dashboards.\nExpert Dimensional Modeling: Proven ability to build performant Star Schemas from multi-source enterprise environments.\nAdvanced DAX & Power Query (M): Deep expertise writing maintainable DAX measures, implementing dynamic security (RLS/OLS), and leveraging Power Query with full query folding awareness.\nTransformation Architecture: Clear understanding of where transformations belong across the stack to ensure scalability and cost-efficiency.\nCustomer Engagement & Advisory: Proven experience leading requirements discussions, managing expectations, and presenting analytical insights directly to internal customers and leadership.\nNice to Have (High Advantage):\n2+ years of practical experience working with SQL and modern cloud data architectures (e.g., Azure Databricks, Azure Data Lake / ADLS Gen2, Snowflake).\nDatabricks Integration: Hands-on experience connecting Power BI to Azure Databricks (Delta tables, Databricks SQL Warehouses) with a solid grasp of storage modes 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