Enterprise Data Analytics Lead

The Enterprise Data Analytics Lead at Veeva Systems is tasked with engineering, optimizing, and adopting analytics tools that support various business functions. This includes collaborating with different teams to identify requirements, creating scalable analytics solutions, managing the backlog of work, and driving operational improvements. The role is integral in maintaining data integrity and optimizing reporting systems to enhance decision-making processes across the organization.

To qualify for the Enterprise Data Analytics Lead position at Veeva Systems, candidates must have over 10 years of experience in analytics platforms and a strong proficiency in SQL and Python. Experience with tools like Sigma, Tableau, and platforms such as Snowflake or Databricks is essential. Additionally, a Bachelor’s degree in Information Systems, Business Administration, or related fields is required, along with demonstrated ability to gather application requirements and coordinate development efforts.

The Enterprise Data Analytics Lead contributes to data governance at Veeva Systems by ensuring the integrity, consistency, and reliability of data across models, dashboards, and reports. This role involves managing the governance of Sigma dashboards and reports to maintain high performance and prevent the accumulation of unused artifacts, ultimately supporting sound decision-making processes within the organization.

As the Enterprise Data Analytics Lead at Veeva Systems, you will work with a variety of tools and technologies, including SQL, Python, Sigma, Tableau, Snowflake, Redshift, and Databricks. Your expertise in these platforms will help create efficient analytics solutions that support our business needs and provide valuable insights into customer, product, pipeline, and revenue data.

The team culture for the Enterprise Data Analytics Lead role at Veeva Systems is built on values such as transparency, collaboration, and a shared commitment to making a positive impact. As a Work Anywhere company, Veeva supports flexible working arrangements that foster innovation and balance, allowing team members to thrive in environments that best suit their personal and professional needs.

When asked about your experience with analytics platforms, focus on specific tools you've used, such as Sigma, Tableau, or Snowflake. Highlight projects where you successfully implemented analytics solutions that drove improvements, and discuss your familiarity with data governance and how you ensured data integrity throughout your work.

To effectively gather requirements for data analytics projects, engage in thorough discussions with stakeholders to understand their specific needs and objectives. Be sure to ask clarifying questions and document their inputs meticulously. Emphasize your ability to translate these business needs into technical specifications while maintaining close communication with both the business and data teams.

Discuss various optimization strategies during the interview, such as indexing, avoiding unnecessary columns in SQL queries, and using joins appropriately. Emphasize your experience with analyzing query execution plans to identify bottlenecks and how such optimizations have improved performance in your previous roles.

To ensure data quality and integrity, implement processes that involve regular checks on data accuracy, consistency, and completeness. Discuss techniques such as validation during data entry, reconciliation with source systems, and systematic audits within your reporting frameworks to catch any discrepancies quickly.

Provide a specific example of a challenging data analytics project, detailing the scope, the hurdles faced, and how you navigated through them. Highlight your leadership skills, how you coordinated with team members, and the final outcomes that resulted in substantial insights or improvements for the organization.

When discussing your dashboard and reporting experience, mention specific tools like Sigma, Tableau, or Power BI that you have used. Showcase your ability to communicate complex data visually and your approach to ensuring those dashboards stay aligned with business needs and provide actionable insights.

Describe your approach to backlog management by highlighting methods such as categorizing tasks based on urgency and impact, using frameworks like MoSCoW (Must have, Should have, Could have, Won't have), and involving stakeholder feedback to ensure alignment with business priorities. Communicate your adaptability in managing shifting requirements.

Building strong relationships with non-technical stakeholders involves actively listening to their concerns, using simple language to explain technical concepts, and consistently delivering value through data insights. Highlight your communication skills and any experiences where you acted as a bridge between technical and business teams to foster collaboration.

To stay current with data analytics technologies, discuss your commitment to continuous learning through industry conferences, online courses, webinars, and participation in relevant communities. Mention specific resources you follow, such as blogs or publications, that keep you informed about trends and innovations in the field.

When answering why you seek this role, focus on Veeva's mission in transforming life sciences and how that aligns with your values. Emphasize your excitement about the opportunity to contribute to meaningful projects and collaborate with a forward-thinking team that prioritizes innovation and customer success.