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Analytics Engineer at Outreach, Remote (United States)

As a Senior Analytics Engineer at Outreach.io, you will drive the success of Outreach’s Analytics and Operational programs through the production, documentation, and curation of certified data sources and models. You practice scalable coding practices, write efficient SQL, and document your work so that future stakeholders will already have their questions answered. You are the “T” in ELT (Extract-Load-Transform), and turn the data pipelines from our Data Engineering team into useful models for our Analytics and self service Data Champions to adopt and answer their own business questions. Overall, you make Data at Outreach.io a more trusted, governed, and powerful asset for all employees.

Your Daily Adventures Will Include

• 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

Our Vision Of You

• 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.

$130,000 – $155,000 a year

The base salary range for this role is $130,000-$155,000 USD. You may also be offered incentive compensation, bonus, restricted stock units, and benefits. Actual compensation is based on factors such as your skills, qualifications, and experience. Final offers are determined through a holistic assessment and will vary within the posted range. Your Recruiter will share specific details based on your location and role during the hiring process.

Why You’ll Love It Here

• 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

Outreach is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Our success is reliant on building teams that include people from different backgrounds and experiences who can elevate assumptions and ideas with fresh perspectives. We’re dedicated to hiring the whole human, not just a resume. To that end, we look for a diverse pool of applicants-including those from historically marginalized groups. We would like to invite you to apply even if you don’t think you meet all of the requirements listed below. We don’t want a few lines in a job description to get between us and the opportunity to meet you.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.