Business Intelligence Analyst / Analytics Engineer

About Alias IntelligenceAlias Intelligence is a tech-enabled investigations firm helping companies make faster, smarter decisions about the people and businesses they work with. We combine proprietary data, cutting-edge technology, and deep compliance expertise to deliver background screening and due diligence solutions that actually move the needle.What You’ll DoData Modeling & Infrastructure (Analytics Engineering)Design and maintain clean, scalable data models (e.g., using dbt or similar tools)Transform raw data into well-structured datasets for analytics and reportingPartner with engineering to define data pipelines and improve data architectureEnsure data quality, testing, and documentation across datasetsBuild and maintain a single source of truth for key business metricsAnalytics & Business IntelligenceBuild dashboards and reporting for product, operations, and leadershipAnalyze complex datasets to identify trends and opportunitiesTranslate ambiguous business problems into structured analysisDefine and standardize core metrics (e.g., turnaround time, throughput, client performance)Support experimentation and product decision-making with dataCross-Functional ImpactCollaborate with engineering and stakeholders to improve data accessibilityEnable teams to self-serve data through well-designed models and dashboardsAct as a bridge between technical data systems and business needsWhat We’re Looking For3+ years of experience in BI, data analytics, or analytics engineeringStrong SQL skills (advanced querying, joins, performance optimization)Experience building data models and working with transformation tools (e.g., dbt preferred)Experience with BI tools (Looker, Tableau, Power BI, etc.)Experience working in a startup or high-growth environmentStrong understanding of data warehousing conceptsAbility to own problems end-to-end (data → model → insight → impact)Strong communication skills across technical and non-technical audiencesNice to HaveExperience with modern data stack (dbt, Snowflake, BigQuery, Redshift)Familiarity with Python for data workflowsExperience working with product or operational analyticsExposure to event tracking or analytics instrumentationBackground in SaaS, fintech, or data-heavy industriesWhat Success Looks LikeBuild reliable, scalable data models used across the companyEstablish a trusted source of truth for key metricsReduce time-to-insight for product and operations teamsDeliver insights that directly improve efficiency, product performance, and growthEnable self-serve analytics across teamsWhy This Role Matters (Difference vs BI Analyst)A Standard BI AnalystBuilds dashboardsAnswers questionsThis RoleDefines the data models behind those dashboardsOwns data quality and metric definitionsBuilds infrastructure that scales with the company