As a Senior Data Analyst focusing on Business Strategy, Sales, and Operations, you will work with our Sales and Management Team to analyze key business data that will answer questions about how to grow revenue, maximize ROI, and launch high-impact sales campaigns, programs and initiatives.
Your goal is to help the company increase its revenue and achieve growth through a deep understanding of the business and the business's key growth drivers.
In this role, you will :
Seek to understand what matters most for the business and prioritize vigilantly
Identify key metrics and build executive-facing dashboards to track sales, the effectiveness of various campaigns and programs, and the efficiency of our Sales Teams
Provide in-depth analysis on current operational metrics such as monthly recurring revenue, annual contract value, drop-off, churn, and others
Perform deep-dive analysis on business problems and sales opportunities
Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior datasets
Translate complex concepts into implications for the business
Analyze large quantities of sales and business data to distill information into insightful analysis and presentations for senior management
Champion improvements to streamline team processes and achieve efficiencies
To qualify for this position, you must have at least a BS or Master's degree in Statistics, Mathematics, Economics, or Business Administration.
You must :
be a problem solver and a proven self-starter with the drive to succeed and understand â€œwhyâ€ .
have excellent analytical and problem solving skills
be meticulous and detail oriented but knows how to see the big picture
be passionate about data analysis and exploration
have strong interpersonal and leadership skills
have excellent communication and presentation skills
Preferred experience and background :
at least 4-5 years' experience in data analysis or similar functional area in a senior capacity
understands the sales funnel, customer lifecycle and user behavior, digital campaigns and business operations for a SaaS
has significant experience with SQL and large unstructured datasets
has deep understanding of statistical analysis, common quantitative techniques like regression, experiment design, etc.
consistent track record of being able to work independently and proactively engage with business partners with minimal direction
has worked with Looker, Tableau or other analysis tools