WHAT IS A SALES ANALYST ?
The Sales Analyst will impact revenue generation at a leading high-growth company. They will utilize advanced SQL skills to build scalable data models, create BI tool dashboards, and communicate analytics insights effectively. This role requires a blend of analytical and technical skills, a drive for automating repetitive tasks, and a keen eye for identifying meaningful data patterns.
Need-to-Know Overview of a Sales Analyst
1. Sales Analyst Duties and Responsibilities
- Understanding data pipelines created by data engineers as they relate to the Sales business
- Working with data engineers to create new data pipelines as the business evolves and there are new problems to solve with new data streams
- Developing scalable SQL models on top of data pipelines
- Improving existing SQL models in alignment with BI team principles
- Curating and certifying data sources in Tableau from production SQL models
- Supporting data champions with data sources
- Validating data champion analyses
- Need finding with business partners, and developing requirements
- Determine problems that can be solved and supported with data
- Building Tableau dashboards that address business partner problems;
- While maintaining and improving existing dashboards
- Performing deep-dive analysis that leads to a deeper understanding of the drivers of the sales/revenue business
- Leading business partners to become more data-driven and advising them on the proper analytics frameworks
- Manage business or solve a given problem
- Collaborating with BI team to create internal consistency and long term scalability and reliability for our analytics practice
- Definition, maintenance, and governance of KPIs for sales and sales development teams
- Growing our best practices around reporting quality, data hygiene, and data governance
2. Sales Analyst Skills, Abilities and Experience
- BS Degree in a quantitative discipline
- 2+ years in data analytics
- 2+ years in SQL experience
- Strong understanding of relational databases
- Experience with visualization and dashboard tools (Tableau, Looker, Power BI, etc.)
- Critical attention to detail
- Proactive communication
- Desire to learn
- Ability to present analytical findings
- Positive attitude
- Advanced SQL and data modeling skills on large data sets
- Version control experience (Github, DBT, etc.)
- Experience with a general-purpose programming language such as Python
- Experience in a high growth organization
- Experience supporting a revenue facing the team