Princ Business Intelligence Analyst

Gen is a global company powering Digital Freedom through consumer brands including Norton, Avast, LifeLock, Avira, AVG, Reputation Defender, and CCleaner. Our combined heritage is rooted in providing safety for the first digital generations. We bring leading technology solutions in cybersecurity, privacy and identity protection to more than 500 million users in 150 countries so they can live their digital lives safely, privately, and confidently today and for generations to come. We're always looking for smart, fearless, and dedicated people. Together, we have collective passion and a big vision to power Digital Freedom by protecting consumers and giving them control of their digital lives. When you’re a part of Gen, you are provided access to a range of resources and support to ensure you can do your best work and live your best life. This includes flexible working options with generous time off and competitive benefits & compensation packages. Diversity is foundational to how we do business because we know the greatest ideas and results come from our unique perspectives and differences. We strive to create a safe, inclusive environment where you can bring your whole self to work. Team members are valued, respected, and celebrated for who they are in a meaningful and exciting atmosphere. Gen is an equal employment opportunity employer. Employment decisions are based on merit, experience, and business needs.

If this sounds like you—Gen has a dynamic, supportive culture with core values that celebrate diversity, promote teamwork, and encourage every team member to contribute and grow—join us

About the role

This is an excellent opportunity to join our CDO data consumption team as a Business Intelligence Analyst enabling trusted self-serve reporting and analytics solutions for our data consumers. Your contributions will empower our Business Unit, Finance, Analytics and Executive Leadership teams with trusted reporting and valuable insights, enabling timely and informed decision-making. The ideal candidate will possess a unique blend of business acumen, data expertise, and reporting skills. They will play a crucial role in developing scalable self-serve data assets, including reporting data models, performance dashboards and workflows, all aimed to provide reliable and timely decision support for our stakeholders. If you thrive in dynamic environments, leveraging your data, reporting, and analytical abilities to drive impactful insights, then this role is the perfect fit for you.

What You Will Do in This Role

Lead consumption data product projects, analyzing end-to-end requirements and business processes for designing, developing, and implementing self-serve data products.

Collaborate with end users to understand data and reporting needs, translating requirements into clear requirement specifications and technical breakdowns.

Collaborate with cross-functional CDO teams to translate business data stories into technical breakdowns and estimates, facilitating efficient prioritization based on impact and effort, and aiding in planning timelines.

BI Development & Processes:

Convert requirements into BI designs and prototypes, ensuring alignment with stakeholders and business needs.

Develop and maintain self-serve reporting data models and dashboards using Looker & Looker Studio on GCP/BigQuery.

Design and implement governed self-serve analytics products with LookML models and Looker Explores.

Create intuitive and actionable performance dashboards tailored for executives, finance and operational users etc., primarily using Looker Studio and occasionally Power BI.

Utilize Git for managing LookML files and development processes, ensuring changes are tracked, reviewed, and deployed systematically.

Adhere to best practices for code organization, documentation, and testing within LookML files to maintain code quality and facilitate troubleshooting.

Conduct regular code reviews and peer assessments to ensure adherence to coding standards and optimize LookML development processes.

Develop and Optimize SQL queries in BigQuery for data analysis and reporting tasks.

Utilize BigQuery ML & Vertex AI to integrate insights into Looker self-serve solutions.

Collaboration & Governance

Collaborate with cross-functional CDO teams like Data Engineering, Stewardship, and Governance to enable self-serve solutions meeting user needs and organizational standards.

Collaborate with the Stewardship & Data Governance teams to establish Data Lineage and Metadata Documentation, ensuring data integrity and transparency in self-serve products.

Training & Communication:

Provide training and support to end-users for effective utilization of self-serve data products.

Drive engagement and adoption among end users.

Continuous Improvement:

Identify opportunities to enhance reporting processes, data models, and analytical capabilities, with a focus on improving time to insight and actionability.

Communicate findings and recommendations to stakeholders in a clear and compelling manner.

Planning & Requirements: 

Lead consumption data product projects, analyzing end-to-end requirements and business processes for designing, developing, and implementing self-serve data products. 

Collaborate with end users to understand data and reporting needs, translating requirements into clear requirement specifications and technical breakdowns. 

Collaborate with cross-functional CDO teams to translate business data stories into technical breakdowns and estimates, facilitating efficient prioritization based on impact and effort, and aiding in planning timelines.

What You’ll Need to be Successful in this Role

Bachelor’s degree in computer science, Data Science, Statistics, or equivalent experience.

5+ years of hands-on experience with data platforms like Google BigQuery and data visualization tools like Looker.

Proficiency in Looker development, including LookML models and Looker Explores, to create and enable broad-scale self-serve analytics products.

Ability to develop intuitive and actionable dashboards that effectively communicate key insights in a clear and easily understandable manner. Proficiency in Looker Studio for dashboard development, with Power BI skills considered a plus.

Hands-on experience in principled data warehouse design, data visualization, and data pipeline design and development.

Strong proficiency in writing complex, highly optimized SQL queries across large datasets.

Working knowledge of Airflow and associated Python data libraries (Pandas, NumPy, Matplotlib, etc.).

Familiarity with BigQuery ML and Vertex AI is beneficial for integrating AI/ML models into Looker self-serve BI solutions.

Demonstrated product owner mindset, able to proactively understand customer pain points and deliver solutions.

Strong ability to set and reset priorities, work independently, and manage stakeholder relationships in a fast-paced environment.

A keen eye for detail and a commitment to data quality and governance.

This role offers an exciting opportunity to both learn and contribute within a dynamic, fast-paced environment, making a meaningful impact on our organization's data-driven decision-making processes.

Gen is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive and accessible environment for all employees. All employment decisions are based on merit, experience, and business needs, without regard to race, color, national origin, age, religion, sex, pregnancy (including childbirth or related medical conditions), genetic information, disability (physical or mental), medical condition, marital status, sexual orientation, gender identity or gender expression, military or veteran status, or any other consideration made unlawful by federal, state, or local law. Gen strictly prohibits unlawful discrimination based on such protected characteristics and seeks to recruit the most talented candidates from diverse cultures and backgrounds.

We also consider employment-qualified individuals with arrest and conviction records. In addition, we will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Learn more about pay transparency. 

Gen complies with all anti-discrimination laws.

To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.