Senior Analytics Engineer

HURRDAT LLC•Omaha, NE

13d•Onsite

About The Position

Hurrdat is a vertically integrated business ecosystem spanning marketing, media, technology, sports, and apparel, headquartered in Omaha, Nebraska. Our marketing division serves enterprise clients across industries including real estate, healthcare, and storage, managing large-scale digital platforms, paid media programs, and data infrastructure that drives measurable business outcomes. We are building out a dedicated data and analytics function to support a major enterprise platform initiative launching in 2027. This role is central to that effort. We are hiring a Senior Analytics Engineer to design, build, and maintain the data infrastructure powering a large-scale enterprise platform serving hundreds of communities and millions of users annually. This is not a reporting-only role. You will own the full lifecycle -- from source ingestion and pipeline architecture through transformation, modeling, and stakeholder-facing analytics. You will work closely with engineering, product, marketing operations, and client stakeholders to ensure data flows cleanly, models are reliable, and reporting is actionable. The platform operates at the intersection of digital marketing performance, CRM/lead lifecycle, and operational analytics, so the ability to connect business context to technical execution is essential.

Requirements

7+ years of experience in analytics engineering, data engineering, or a related data platform role
Strong SQL skills -- you write production-quality queries, not just ad hoc pulls
Hands-on experience with Snowflake (or comparable cloud data warehouse: BigQuery, Redshift, Databricks)
Experience designing and maintaining ETL/ELT pipelines using tools like dbt, Airflow, Fivetran, or custom Python-based workflows
Familiarity with at least one BI/reporting platform (Sigma, Tableau, Power BI, Looker)
Experience working cross-functionally with engineering, product, or marketing teams in an enterprise environment
Ability to translate business requirements into data models, pipeline logic, and reporting structures
Comfort with version control (Git) and CI/CD practices applied to data workflows

Nice To Haves

Experience with Segment, Snowplow, or similar event collection/CDP platforms
Exposure to marketing analytics (Google Ads, GA4, CRM lifecycle, lead attribution)
Experience with data governance or compliance frameworks (HIPAA, PII/PHI handling, RBAC)
Familiarity with API integrations and webhook-based data ingestion
Experience managing or mentoring junior analysts or engineers
Background in real estate, healthcare, SaaS, or multi-location business models

Responsibilities

Architect and maintain ETL/ELT pipelines ingesting data from marketing platforms, CRM systems, web analytics, and third-party APIs into a centralized data warehouse
Build and optimize data models in Snowflake that support cross-functional reporting, lead attribution, and operational dashboards
Design and manage event tracking and data collection infrastructure using tools like Segment
Develop and maintain reporting layers in Sigma (or similar BI tooling) for internal teams and client stakeholders
Establish data governance standards including documentation, testing, version control, and access management
Partner with engineering and product teams to define data contracts and ensure upstream system changes do not break downstream reporting
Support marketing operations with analytics that tie campaign performance to business outcomes (lead volume, conversion, cost per acquisition)
Identify and resolve data quality issues proactively -- build monitoring and alerting where needed
Contribute to the long-term data strategy, including evaluation of new tools, consolidation of legacy systems, and scalability planning