Minimum qualifications:

• Bachelor's degree in an analytical field or equivalent practical experience.
• 5 years of experience analyzing data sets using SQL.
• Experience creating A/B and multivariate hypothesis tests, including experimental design and analysis.
• Experience developing data visualizations.

Preferred qualifications:

• Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Science, etc.).
• Experience collaborating with cross-functional stakeholders to drive to consensus on requirements, including strategic direction, ad-hoc analysis, or development of new data pipelines.
• Experience presenting to leadership, with ability to represent and influence discussions involving quantitative concepts and data-based stories.
• Experience building Extract Transform Load (ETL) pipelines.
• Familiarity with web analytics data.

About the job

The Google Cloud Platform team helps customers transform and evolve their business through the use of Google’s global network, web-scale data centers and software infrastructure. The Cloud Marketing team is looking for people who can help us write and tell the story of our customer's journey. Understanding the power of our products and how they impact businesses, you will help share how we provide our customers with the best solutions for innovation. If you’re as excited about building what’s next as we are, Google Cloud is the place for you.

As a Data Analyst on the Google Cloud Digital Experience team, you will be at the forefront of identifying and resolving website issues and opportunities. Our Data Analysts are the analytics experts for the web funnel.

In this role, you will work with Engineering, Marketing, and Sales to conduct data-oriented analysis to inform the strategic website direction. You will support the design and implementation of experimental frameworks to harvest test learnings for Google Cloud websites. Your suite of deliverables include analyses that span experimentation (A/B testing, multivariate testing), causal inference, and derive insights about behavior. You will bring data to life through compelling narratives.

Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.

Responsibilities

• Provide advanced analytics and experimentation support, enabling data-driven marketing by applying statistical techniques to solve business problems, and collaborate with cross-functional stakeholders to complete analysis, integrate online data with other channels, and generate business insight across multiple channels.
• Support the design and implementation of A/B and multivariate hypothesis tests to inform optimization of Google Cloud websites, and leverage causal inference methods as appropriate.
• Deliver user-friendly and informative dashboards and recurring reports, iterating and prototyping to meet business needs, and monitor and identify ways to improve and streamline reporting.
• Demonstrate subject matter expertise and technical leadership in data extraction and manipulation, dash-boarding, visualization, and analytical/statistical/data mining techniques.
• Provide high-level insight and detailed, segmented, investigative analyses to inform site changes and opportunities to increase customer utilization of the web channel.

At Facebook Reality Labs (FRL), our goal is to explore, innovate and design novel interfaces and hardware subsystems for the next generation of virtual, augmented, and mixed reality experiences. We are looking for a skilled and motivated Data Analyst to join our team, whose mission is to connect and build reporting for our data systems. We are specifically looking for a candidate with experience in defining and building data aggregation and reporting systems for manufacturing facilities and who can work with a team of engineers and technicians who are developing new manufacturing processes. More broadly, the chosen candidate will work with a diverse and highly interdisciplinary team of researchers and engineers and will have access to cutting edge technology, resources, and manufacturing facilities.

Data Analyst Responsibilities

• Support development of roadmap based on current state survey of data forms and generation environments.

• Aggregation and reporting of manufacturing systems and process data, including MES data, shop floor trend data (equipment and process), metrology raw data, metrology production data, research data, and external contract data.

• Maintain and design data systems to receive or process data from various levels of the manufacturing process including text files, system logs, external databases, external company extract.

• Maintain and design data dashboard/reporting systems to process and present data to provide greater insight into the MFG process and broader production processes in general.

• Establish standards around data formatting and requirements.

• Develop new data flows with Engineering personnel input.

Minimum Qualifications

• 4+ years of experience with data reporting and analysis in a variety of environments. MFG Systems experience, but other environments may also provide valuable experience.

• 2+ years of experience with SQL, Tableau, or other reporting software experience with design of reporting development.

• Experience with Root Cause analysis and development of large systems via requirements gathering.

• Experience in an environment focused on Data Integrity.

• Experience integrating data sources across broad spectrum of systems (e.g.: ERP, MES, Shop Floor Automation, OSI Pi, etc.).

• Experience with statistical analysis/data science.

• Bachelors in engineering or scientific discipline or extensive experience in data systems.

Preferred Qualifications

• Familiarity with HIVE or similar big data systems.

• Experience with MES architecture and automation system (SECS/GEM, OPC, etc.) communications.

• Experience in semiconductor development manufacturing.

• Experience designing of databases/data aggregation systems.