Business Intelligence Analyst, Analytics Engineering

Bengaluru, Karnataka, India

Google

Google’s mission is to organize the world's information and make it universally accessible and useful.

View company page

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience as an analyst, data engineer, or related role.
  • Experience using SQL in order to transform datasets to meet business needs.
  • Experience managing production data pipelines or warehousing data (e.g., Modern Data Warehouse stacks such as dbt, Airflow, Looker, Cloud Composer, BigQuery, Snowflake).

Preferred qualifications:

  • Experience developing dashboards or performing analyses in a client-facing analyst role.
  • Demonstrated ability to project manage with competing priorities, while applying initiative, creativity, and problem-solving to identify solutions and meet business needs.
  • Excellent communication skills, and able to adapt messaging to technical and nontechnical audiences.
  • Uses software engineering best practices with a focus on testing, reliability, security, performance, and maintainability.
  • Collaborates with stakeholders to gather requirements and drive adoption of solutions.

About the job

At Google, data drives all of our decision-making, and our HR organization is no exception. The People Analytics team acts as an internal innovation lab, using analytical approaches to make sure Google continues to be a great place to work. The team provides critical support to the business around issues of organizational health and is responsible for not just taking the pulse of our Googlers, but harnessing Googler feedback to drive change for the better. As an analyst you'll be detail-oriented and conscientious, analytical and curious. You're a strong problem-solver, who uses both quantitative and qualitative methods to get things done. And on top of it all, you're someone who wonders "What if?" and then seeks out the solution.

People Analytics is known internally and externally for ensuring data and research informs every people decision. Within People Analytics, the Business Intelligence team performs the role of Analytics Engineers, making sure people data is available, useful, trusted, and secure. We develop and maintain Google's HR data warehouse, dashboards, and reports used by internal users across all levels of the company with an eye towards performance and code maintainability. We transform data to meet business priorities and provide the robust data foundation and consultation to enable data-driven HR.Great just isn't good enough for our People Operations team (known elsewhere as "Human Resources"). We bring the world's most innovative people to Google and provide the programs that help them thrive. Whether recruiting the next Googler, refining our core programs, developing talent, or simply looking for ways to inject some more fun into the lives of our Googlers, we bring a data-driven approach that is reinventing the human resources field. You’ll play an essential role advancing a more diverse, accessible, equitable, and inclusive Google through our hiring, promotion, retention, and inclusion practices.

Responsibilities

  • Build and maintain internal reporting pipelines and dashboards for People Operations including troubleshooting, development, and access controls. Write advanced SQL queries, system configurations, and manage and execute project plans.
  • Design new solutions and processes to translate complex metrics and business requirements to formats that enable quick and accurate data analysis. Interact with internal users to define requirements, socialize designs, and test solutions. 
  • Provide user support and training on team's data product portfolio. Provide limited ad hoc data for requests not served by standard dashboards or business analysts.
  • Work with analysts and engineers to help shape and drive the development and application of Google’s internal data infrastructure including warehousing, reporting, and analytics platforms.
  • Contribute to the development of the BI team’s tools, skills, culture, and impact.
Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Airflow BigQuery Business Intelligence Data analysis Data pipelines Data warehouse dbt Engineering Looker Pipelines Research Security Snowflake SQL Testing

Region: Asia/Pacific
Country: India
Job stats:  4  1  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.