Senior Data Analyst

Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world's largest non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy focused on leadership, process improvement, implementation, and advanced analytics. At Velir, we believe people are our greatest asset. Our culture is built on a foundation of trust, collaboration, and continued improvement.

We strive for excellence in everything we do, embracing challenges as opportunities for growth. Our success is driven by a shared passion for making a positive impact on our customers, our communities and each other. We are a remote first company that offers competitive pay and excellent benefits.

Senior Data Analysts play a pivotal role in helping our client organizations extract valuable insights from their data to make informed decisions and drive business improvements. As senior-level individual contributors, responsibilities span from data strategy and data modeling to data analysis and visualization. Our senior data analysts work closely with clients to understand their specific business requirements to tailor data analytics solutions to meet those needs.

This may also include recommending and implementing the right data analytics tools, platforms, and technologies for clients' needs. Because our clients are mostly US-based organizations, we look for professional proficiency in English, verbally and in writing.

This role is responsible for leveraging structured data to identify patterns and use reports and visualizations to summarize them for strategic decision‑making. You are capable of manipulating data through data cleaning, data conversion, and data modeling. As a senior member of the Analytics function, you serve as a mentor to other analysts, both individually and in group settings.

• Uses SQL to write complex queries that join data across multiple systems (bonus points for proficiency in dbt!).
• Derives key business metrics such as customer acquisition cost, customer lifetime value, monthly recurring revenue, or customer retention rate.
• Collaborates and shares results with clients who have varying levels of data expertise.
• Capable of designing, analyzing, and interpreting the results of experiments.
• Has strong knowledge of statistics to communicate significance, confidence, or probability.
• Creates dashboards and visualizations using tools like Sigma, Omni, Domo, Looker, Tableau, Power BI.
• Builds data models in dbt to support reporting and analysis.
• Mentors and helps others grow in the field.
• Helps our clients select, create, and report on key performance indicators with attention to user experience, and data storytelling.

• Promotes a positive culture within and across different teams, collaborating with analytics engineers and data engineers on end‑to‑end client requirements.
• Collaborates with clients and functional managers to plan for analytics needs for a product or feature launch.
• Pairs with a teammate or with someone at a client on strategies for solving an analytical problem.
• Creates an analysis, process, or reporting template that helps cross‑functional teams solve for common analytics problems.
• Regularly engages with other teams to make the organization more effective.
• Take initiative to identify and solve important problems. Coordinates with others on cross‑cutting technical issues.
• Recommends improvements to tools, configurations, and workflows towards clients' goals and desired capabilities.

• Asks insightful questions to gather requirements and align expectations on what success looks like for a task.
• Digs into the root cause of reporting issues.
• Estimates accurate timelines for deliverables.
• Keeps reliability, maintainability, and scalability of our clients' systems top of mind.
• Helps assure quality of their own and team members' deliverables through quality assurance steps.
• Walks stakeholders through findings and recommendations.
• Embraces long‑term ownership of projects while building shared knowledge for redundancy.
• Contributes to undesirable or…