Senior Analytics Engineer

About Outreach   Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few.  Why You’ll Love It Here   ● 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   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. country: IN all locations: [Hyderabad] commitment: Full-Time department: Business Systems location: Hyderabad team: Business Systems 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.