Senior Analytics Engineer

Opiniion Inc.

14d

About The Position

Opiniion is hiring its first dedicated analytics engineer to join an established data engineering team. This role involves building the analytics layer on top of existing pipelines and infrastructure (Fivetran, Databricks). The successful candidate will create reliable data models within a medallion architecture (bronze, silver, gold), clean dashboards, and governed metrics that teams across the company can trust and self-serve. This is a hands-on individual contributor role that requires significant collaboration with data engineers, Product, CS, Sales, and Marketing teams. The role involves writing SQL, building and maintaining gold-layer models in Databricks, and creating dashboards in Omni Analytics, while also translating business questions into reliable analytics and surfacing insights.

Requirements

• 5+ years in analytics engineering, BI development, or product analytics roles
• Advanced SQL — you write complex, performant queries daily and are comfortable with window functions, CTEs, and large-scale data
• Hands-on experience with a modern BI tool (Omni, Looker, or similar) — building explores, semantic layers, and governed dashboards
• Experience with Databricks, BigQuery, or a comparable cloud analytics platform for data modeling and transformation
• Familiarity with medallion layer architecture (bronze/silver/gold) is strongly preferred
• Familiarity with ELT/ETL orchestration tools (Fivetran, dbt, or similar)
• Product-minded: you don’t just build tables — you understand what questions the business is trying to answer and work backward from there
• Builder mentality: you prefer creating tested, documented, reusable assets over one-off queries
• Clear communicator: you can explain data findings to non-technical stakeholders in writing and in conversation. You’re comfortable presenting to CS, Sales, Marketing, and Product teams and translating between technical and business language
• Cross-team collaborator: you proactively build relationships across departments, seek out context before building, and make sure your work is shaped by the people who will use it — not just the people who requested it
• Comfortable with ambiguity: this is a first-of-its-kind role at Opiniion, and you’ll help shape how analytics work gets done

Nice To Haves

• dbt or similar modeling/testing frameworks
• Python for light ETL, scripting, or anomaly detection
• Comfortable working with data from MongoDB or other NoSQL sources
• GA4 or product analytics instrumentation experience
• Proptech, real estate technology, or multifamily industry experience
• Experimentation platforms or statistical analysis background

Responsibilities

• Build and maintain dimensional and semantic models in Databricks that serve as the analytics layer for the company, working within a medallion architecture (bronze, silver, gold)
• Own the gold layer — write clean, tested, version-controlled SQL transformations that turn curated silver-layer data into business-ready tables optimized for reporting and analysis
• Partner with data engineers on data quality, lineage, and freshness across the medallion layers to ensure models are reliable and well-documented
• Design and build dashboards and topics in Omni Analytics for Product, Client Success, Sales, Marketing, and executive stakeholders
• Implement governance practices for dashboards: naming conventions, documentation, version control, and testing
• Create client-facing analytics views that can be shared externally to demonstrate platform value
• Collaborate with Product and leadership to document KPI definitions and implement them consistently across all reporting surfaces
• Contribute to a metric catalog so that stakeholders reference the same numbers from the same source
• Flag data quality issues proactively and work with the data engineering team to resolve them
• Conduct deep-dive investigations into conversion drops, data mismatches, and funnel issues using SQL and platform tooling
• Document findings and build repeatable analysis runbooks so investigations don’t start from scratch each time
• Partner with product engineering to identify gaps in event instrumentation and recommend improvements
• Help internal teams learn Omni Analytics so they can answer routine questions without filing a request
• Write lightweight documentation for dashboards, data models, and common queries

Benefits

• Comprehensive healthcare plans, encompassing medical, dental, and vision insurance, along with group life coverage. Opiniion covers 40-90% of the premium cost for employees and all dependents
• 401(k) retirement plan with a 100% corporate match on the first 1% and 50% match on the next 5%
• Pre-tax Health Spending Accounts (HSA)
• Paid Parental Leave for all new parents (including adoption or foster care)
• Unlimited Time Off policies
• 10 Paid Holidays annually
• Monthly Gym Reimbursement benefit

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed