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Senior Analytics Engineer at Outreach. Location Information: United States. Make Your Team a Revenue-Driving Machine.. Outreach, the leading Enterprise ready Sales Engagement Platform, accelerates revenue growth by optimizing every interaction throughout the customer lifecycle. The platform manages all customer interactions across email, voice and social, and leverages machine learning to guide reps to take the right actions.. Thousands of customers, including Cloudera, Glassdoor, Pandora, and Zillow, rely on Outreach to drive predictable and measurable growth, increase efficiency and effectiveness of customer-facing teams, and improve visibility into sales activity and performance.. Model and document new datasets (both structured and semi-structured) to exploit the value therein across all our business units.. Partner with subject matter experts to document, align and automate business metrics that define success.. Work with Analysts to optimize their use of data, either through query reviews, modeling exercises, or dashboard audits.. Own the design, monitoring, and deployment of certified data sources on our reporting platforms and warehouses.. Insist on the highest standards for data reproducibility, auditability and compliance.. Serve as a subject matter expert for data strategy thought leadership and implementation across the business.. Enable non-BI&A team stakeholders to adopt data as part of their business and usual.. Ability to communicate complex concepts in a clear and concise manner to audiences from fellow analysts to senior executive level.. Effective storyteller with an emphasis on visual best practices and discoverability.. Expert SQL (Postgres/Snowflake Preferred).. History of working with or as a Business Analyst.. Record of preemptive communication and documentation strategies favoring self-service education.. Familiarity with Outreach tech stack: Snowflake, DBT, Airflow, Tableau, History of Query and Data Pipeline optimization.. Have working knowledge with ML pipelines (i.e., Sagemaker).. Knowledge of multi-dimensional data modeling.. Experience working in modern ELT environments.. Code documentation best practices.. Worked with business stakeholders for requirements gathering and documentation.. Experience with Spark Ecosystem (Delta Lake, Databricks, etc.) is a plus.. Experience in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake or Databricks is a nice to have.. Pay range:. $130K - $155K. Flexible time off. 401k to help you save for the future. Generous medical, dental, and vision coverage for full-time employees and their dependents. A parental leave program that includes options for a paid night nurse, and a gradual return to work. Infertility/ assisted reproductive services benefit. Employee referral bonuses to encourage the addition of great new people to the team. Snacks and beverages in the Office, along with fun events to celebrate. Diversity and inclusion programs that promote employee resource groups like Outreach Women's Network, Latinx community, Outreach Black Connection, AAPI community, Pride/LGBTQIA+, Gender+, Disability Community, and Veterans/Military