Senior Analytics Engineer

🕒 May 12

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Outreach

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2014

🤖 Artificial Intelligence

🏢 Enterprise

Artificial Intelligence • Sales • Enterprise

Outreach is a company that provides an AI-powered sales execution platform designed to streamline workflows and enhance the effectiveness of sales representatives. The platform utilizes artificial intelligence to forecast revenue accurately, manage deals, and optimize the entire sales process. Outreach helps sales teams prioritize tasks, identify prospects, and maintain engagement throughout the customer lifecycle, ultimately aiming to boost win rates and reduce churn. With over 6,000 global customers, Outreach focuses on transforming seller workflows to consistently exceed revenue targets.

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

• ● Highly competitive salary • ● 25 days annual vacation time + sick time and casual leave • ● Group medical policy coverage available to employees and up to 5 eligible family members • ● OPD benefit covered up to INR 10,000 • ● Life insurance and personal accident insurance at 3x annual CTC • ● 26 weeks of maternity leave pay, and 15 days of paternity leave pay • ● Opportunity to be part of company success via the RSU program • ● Diversity and inclusion programs that promote employee resource groups like OWN+ (Outreach Women's Network), Adelante (Latinx community), OBX (Outreach Black Connection), Mosaic (AAPI community), Pride (LGBTQIA+), Gender+, Disability Community, and Veterans/Military • ● Employee referral bonuses to encourage the addition of great new people to the team • ● Fun company and team outings because we play just as hard as we work