- Design and implement data solutions best-suited to deliver business needs and use cases — from data lakes to analytics tools, across a progressively evolving technical stack.
- Design experiments, develop measurement frameworks, and partner with Marketing, Product, Tech, and business leaders to generate results, insights, and actions from product launches and feature changes
- Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
- Lead efforts to automate data extraction and distribution of reports to multiple stakeholders
- Continually improve metrics documentation and data governance
- Construct and deliver analytics product roadmaps that deliver insightful and user-friendly dashboards for both internal and external customers
- Partner with IT teams to construct downstream impact analysis and own change management communication for Marketing data sources
- Document technical details of your work using industry standard protocols like Jira, Confluence etc.
- Proactively monitor existing metrics, propose new metrics, and work across the organization to deliver actionable intelligence
- Collaborate with marketing teams to understand their data needs and create meaningful visualizations and dashboards.
- Conduct regular quality assurance checks on marketing data to identify and rectify any discrepancies.
- Proven experience analyzing clickstream data from sources such as Google Analytics, Adobe, Segment or other platform
- Strong understanding and experience leading experiment design, A/B testing, and other frameworks for evaluating effectiveness of feature and product changes
- Bachelor's degree in Computer Science, MIS, Business Analytics, Industrial Engineering or a related field
- 7 years automating data processes, developing dashboards, and building scalable analytics solutions in an ecommerce, omni-channel, or retail setting
- 5+ years of experience managing ETL or data transformation processes, technical architecture documents, and delivering net new or enhancing existing data warehouses
- 5+ years of experience working with data platforms such as: Snowflake, AWS, Vertica, or other RDB
- Strong working knowledge of SQL and proven ability to write, debug, and optimize SQL queries
- Programming experience in Java, Python, Scala, or another modern programming language
- Proven experience building self-serve BI solutions and automated reports that enable automated alerting and data quality monitoring
- Ability to tailor analytics products to meet the needs of end customers using tools ranging from Excel to Tableau
- Proven experience with data modeling in large Data warehousing / data lake environments
- Strong written and verbal communication skills and experience leading change management processes
- Proven experience delivering high quality and insightful data visualizations and translating complex data into actionable insights
- Exemplary stakeholder management and prioritization skills using systems, processes, and scalable frameworks
- Thorough understanding of Financial KPIs and P&L statement
- Superior attention to detail and experience building processes to validate data integrity
- Proven experience leading teams and delivering results in ambiguous and resource constrained environments
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Sr. BI Engineer - Seattle, United States - Outreach
Description
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.As part of a team that is constantly launching new businesses and features, you will be responsible for leveraging technical solutions to transform raw data from multiple sources into actionable insights. This role will be a key partner to the Marketing organization to help ensure their ability to continue to make data-backed decisions that will drive the business forward. The ideal candidate is process-oriented, has proven experience integrating and scaling data applications, and intuitively drives improvements through connecting systems with business processes. This candidate has exemplary data visualization and technical problem-solving skills and a penchant for detail. Further, this individual is highly proficient in partnering across technology and business teams and has proven experience delivering high quality results with minimal direction from leadership . Strong written and verbal communication skills are required as this role will interface directly with cross-functional teams to roll out new tools, communicate data infrastructure changes, and share analytical findings with executive leaders.
Your Daily Adventures
Our Vision of You
• Generous medical, dental, and vision coverage for full-time employees and their dependents
• Flexible time off
• 401k to help you save for the future
• Company-organized and personal paid volunteer days to support the community that supports us
• Fun company and team outings (or virtual events these days) because we play just as hard as we work
• Diversity and inclusion programs that promote employee resource groups like OWN (Outreach Women's Network), AAPI, Rainbow (LGBTQIA+), Gender+, LatinX, Black Excellence, Disability Community, and Veterans
• A parental leave program that includes not just extended time off but options for a paid night nurse, gradual return to work, and the Gottman Institute's Bringing Home Baby course for new parents
• Employee referral bonuses to encourage the addition of great new people to the team
• Plus, unlimited snacks and beverages in our kitchen
• We're 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
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