Job Description
The Risk Data Pipeline Analyst at Google will provide data sets, services, and infrastructure for data-motivated decisions. Responsibilities include partnering with Risk analysts to identify, source, model, extract, transform, and load risk data; designing data pipeline integrity solutions; implementing data governance strategies; transforming data sets into consistent risk models; documenting pipeline architecture; and developing dashboards and insights for clients. This role requires expertise in data analytics, ETL operations, and SQL, along with experience in program management and cross-functional project management. The ideal candidate will possess strong analytical and communication skills.
Good To Have:
- Cross-functional project management experience
- Data architecture, modeling, trend analysis experience
- Multiple scripting languages, tools, or platforms experience
- ETL operations experience
- Technology risk management & analysis experience
Must Have:
- Bachelor's degree or equivalent experience
- 2 years program management experience
- Data analytics tools & reporting platform experience
- SQL experience
- Partner with risk analysts
- Design data pipeline solutions
- Implement data governance strategies
- Develop dashboards and insights
Minimum qualifications:
- Bachelor's degree in a related field, or equivalent practical experience.
- 2 years of experience in program management.
- Experience in working with data analytics tools and reporting platforms.
- Experience with SQL.
Preferred qualifications:
- 2 years of experience in managing cross-functional or cross-team projects.
- Experience with data, data architecture, modeling, trends analysis, statistics, and program evaluations.
- Experience with data analysis using multiple scripting languages, tools, or platforms.
- Experience with data analytics and extract, transform, and load (ETL) operations.
- Experience with technology risk management and analysis.
- Ability to create functional dashboards and visualizations to provide insights.
About the job
A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.In this role, you will provide data sets, services, and infrastructure to help our business partners make sound, data-motivated decisions. You will lead technical projects to manage corporate data, enable data discovery and security, master and integrate disparate datasets, and deliver clean, secure platforms for reporting and advanced analytics.The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
Responsibilities
- Partner with Risk analysts to identify, source, model, extract, transform, and load necessary risk identification process inputs (e.g., issues, incidents, assessments, measurements).
- Design data pipeline integrity verification solutions and processes.
- Propose and implement data governance strategies and mechanisms for ensuring quality data pipeline outputs.
- Transform various input data sets into consistent data and risk models and document pipeline architecture and workflows.
- Develop dashboards and provide insights to clients as part of engagements.
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