About Alias Intelligence
Alias 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 Do
Data 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 reporting
- Partner with engineering to define data pipelines and improve data architecture
- Ensure data quality, testing, and documentation across datasets
- Build and maintain a single source of truth for key business metrics
Analytics & Business Intelligence
- Build dashboards and reporting for product, operations, and leadership
- Analyze complex datasets to identify trends and opportunities
- Translate ambiguous business problems into structured analysis
- Define and standardize core metrics (e.g., turnaround time, throughput, client performance)
- Support experimentation and product decision-making with data
Cross-Functional Impact
- Collaborate with engineering and stakeholders to improve data accessibility
- Enable teams to self-serve data through well-designed models and dashboards
- Act as a bridge between technical data systems and business needs
What We’re Looking For
- 3+ years of experience in BI, data analytics, or analytics engineering
- Strong 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 environment
- Strong understanding of data warehousing concepts
- Ability to own problems end-to-end (data → model → insight → impact)
- Strong communication skills across technical and non-technical audiences
Nice to Have
- Experience with modern data stack (dbt, Snowflake, BigQuery, Redshift)
- Familiarity with Python for data workflows
- Experience working with product or operational analytics
- Exposure to event tracking or analytics instrumentation
- Background in SaaS, fintech, or data-heavy industries
What Success Looks Like
- Build reliable, scalable data models used across the company
- Establish a trusted source of truth for key metrics
- Reduce time-to-insight for product and operations teams
- Deliver insights that directly improve efficiency, product performance, and growth
- Enable self-serve analytics across teams
Why This Role Matters (Difference vs BI Analyst)
A standard BI Analyst:
- Builds dashboards
- Answers questions
This role:
- Defines the data models behind those dashboards
- Owns data quality and metric definitions
- Builds infrastructure that scales with the company
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