Senior Data Analyst

Zoom•San Jose, CA

2d•Remote

About The Position

Immigration sponsorship is not available for this position. This role involves defining KPIs and success metrics, collaborating with stakeholders to translate business needs into an actionable roadmap, and leading end-to-end solution delivery. The Senior Data Analyst will create technical designs, ensure adherence to development standards, and design/develop/maintain data models to power dashboards and embedded data solutions. Collaboration with data engineering teams for data pipelines and effective articulation of data insights to all audiences, including the C-suite, are key responsibilities. The role also includes coaching and mentoring junior team members.

Requirements

Requires a Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Electronic Engineering, a related field, or a foreign degree equivalent.
Must have 7 years of experience in job offered or related occupation.
Must have 7 years of experience in: Utilizing Snowflake SQL to query, blend, and model data for analysis; Utilizing DBT in data modeling and transformation; Utilizing Elementary to create data quality checks; Utilizing Python (Pandas) in data analysis; Utilizing Tableau to build enterprise BI reporting; Performing SQL query optimization to reduce execution time and processing costs; Performing advanced data analytics enabling data-driven quarterly business reviews and cost optimization; Contributing to the design of data pipelines to track and report on utilization and effectiveness of solutions; and Implementing enterprise data catalog to ensure documentation is available to business users.
In lieu of a Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Electronic Engineering, a related field, or a foreign degree equivalent. Must have 7 years of experience in job offered or related occupation, the company is willing to accept a Master’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Electronic Engineering, a related field, or a foreign degree equivalent.
Must have 5 years of experience in job offered or related occupation.
Must have 5 years of experience in: Utilizing Snowflake SQL to query, blend, and model data for analysis; Utilizing DBT in data modeling and transformation; Utilizing Elementary to create data quality checks; Utilizing Python (Pandas) in data analysis; Utilizing Tableau to build enterprise BI reporting; Performing SQL query optimization to reduce execution time and processing costs; Performing advanced data analytics enabling data-driven quarterly business reviews and cost optimization; Contributing to the design of data pipelines to track and report on utilization and effectiveness of solutions; and Implementing enterprise data catalog to ensure documentation is available to business users.

Responsibilities

Define KPIs and success metrics for accurate reporting and actionable insights by working closely with stakeholders from Sales, Strategy, Channel, and Customer Success.
Collaborate with Data Product Managers to translate business needs into an actionable roadmap.
Lead end-to-end solution delivery by defining requirements, establishing timelines, prioritizing tasks, and conducting code reviews.
Create technical designs and engage with enterprise architecture teams to ensure adherence to development standards and interoperability with various applications.
Design, develop, deliver and maintain flexible source of truth data models that can be used to power dashboards and other embedded data solutions.
Collaborate with data engineering teams to design data pipelines to power key data models.
Effectively articulate data insights and actions to all audiences including the C-suite.
Coach and mentor junior team members.