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Analytics Scalability Solutions Consultant

Analytics Scalability Solutions Consultant

1 Month ago • 3-5 Years • Data Analyst

About the job

8 skills required for this role

Test your skills to join the top 1% applicants for this job

java

cpp

unix

python

sql

linux

mysql

scalability

Job Description

As an Analytics Scalability Solutions Consultant at Google, you'll ensure data-driven decisions by developing accessible analytics solutions. You'll design user-friendly tools, integrate Google's analytics products, and create secure data APIs. This role focuses on enabling self-serve analytics within Google Payments, reducing reliance on analyst teams and promoting data democratization. You'll collaborate with engineers, analysts, and business users to design data services and self-serve analytics solutions, translating analytics requirements into data models. Responsibilities include identifying and resolving operational challenges, managing projects, and leading transformation initiatives from problem definition to launch. The role leverages industry best practices and advanced analytics techniques to develop data and analytics solutions for Google Payments.

Must have:

Bachelor's degree or equivalent experience
3+ years in technical troubleshooting & partner management
3+ years in system design or programming (Java, C++, Python etc.)
Data services & self-serve analytics solution design & development
Collaborate with engineers, analysts, and business users

Good to have:

Master's degree in relevant field
5+ years managing projects & working with analytics/software coding
5+ years data analysis & SQL/MySQL experience
5+ years Unix/Linux experience
5+ years customer-facing & operations management experience

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
3 years of experience in technical troubleshooting, and managing internal/external partners or customers.
3 years of experience in either system design or in one programming language (e.g., Java, C++, Python, etc.).

Preferred qualifications:

Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field.
5 years of experience managing projects and working with analytics, software coding, or customer-side web technologies.
5 years of experience with data analysis and SQL/MySQL.
5 years of experience working with Unix or Linux operating systems/commands.
5 years of experience in a customer-facing role.
5 years of experience in operations management (e.g., process improvement, operational reviews, optimizing workflows, etc.).

About the job

As the Analytics Scalability Consultant, you will ensure that Google makes business and product operational decisions through data and insights. You will lead the development of accessible analytics solutions, empowering technical and non-technical teams to independently explore and analyze data by designing user-friendly analytics tools, integrating Google's analytics products, and designing secure data APIs that enable safe and efficient data access for both people and applications. By enabling self-serve analytics across Payments, this role will reduce reliance on analysts and DI teams, fostering data democratization across payments. This role will play a key part in developing data and analytics solutions for Google Payments by leveraging industry best practices and advanced analytics techniques.Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.

Responsibilities

Collaborate with engineers, analysts, and business users to design and develop data services and self-serve analytics solutions.
Work with stakeholders to understand business requirements, identify gaps, and partner with engineers to design, integrate and scale the analytics tools and solutions for Payments organization.
Translate analytics requirements into data models in collaboration with data engineers and analysts.
Identify, communicate, resolve operational challenges through communication, and own project management and execution of projects.
Lead transformation initiatives from problem definition and solution scoping to design, development, testing, and launch.

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.