[Hiring] Senior Analytics Engineer @Opiniion Inc.

Role Description

We’re hiring our first dedicated analytics engineer to join an established data engineering team. You won’t be building alone — you’ll work alongside data engineers who own the pipelines and infrastructure (Fivetran, Databricks), and your job is to build the analytics layer on top: reliable data models within our 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, but collaboration is central to the work. You’ll spend your time writing SQL, building and maintaining gold-layer models in Databricks, and creating dashboards in Omni Analytics — but you’ll also be a regular presence in conversations with Product, CS, Sales, and Marketing, translating their questions into reliable analytics and surfacing insights they wouldn’t find on their own. Strong cross-team communication skills matter as much as technical depth here.

What You’ll Do:

• Data Modeling & Transformation
  • 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.
• Dashboards & Business Intelligence
  • 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.
• Metrics & Governance
  • 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.
• Investigations & Analysis
  • 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.
• Stakeholder Enablement
  • 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.

Qualifications

• 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).

Requirements

• 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.

What Success Looks Like

• In your first 90 days, you’ll have shipped your first governed dashboards in Omni and earned trust with at least one stakeholder team.
• Within 6 months, here’s what we’d expect:
  • Core business KPIs are modeled in Databricks and surfaced through Omni dashboards that stakeholders actively use.
  • The majority of routine analytics questions from Product, CS, Sales, and Marketing are answered through self-service dashboards rather than ad-hoc requests.
  • Data models are documented, tested, and version-controlled — not tribal knowledge.
  • You’ve conducted at least one meaningful investigation that identified a root cause of a platform or funnel issue and informed a product fix.
  • Executive dashboards are in production and shared with leadership and clients.

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.