Sales Operations Analyst - SQL, Power BI, Salesforce

Inovalon•Bowie, MD

About The Position

Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building. Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve. Overview: Acquire, analyze and report on client data and information. Will collaborate with other team members, such as Business Analysts, Subject Matter Experts, etc. to aid in gathering, interpreting and reporting pertinent information to the client. Will work with in Salesforce CRM with heavy SQL and Power BI skills needed. Should have a background in sales or revenue operations.

Requirements

Data analysis tools: Excel, SQL, PowerBI, and other data visualization tools are essential for data analysis and reporting.
CRM systems: Experience with CRM systems like Salesforce, HubSpot, or Microsoft Dynamics 365 is crucial for managing and maintaining sales data.
Sales automation tools: Familiarity with sales automation tools like Outreach, SalesLoft, or ZoomInfo can help you streamline sales processes.
Basic programming skills: Knowledge of programming languages like Python, R, or SQL can help you perform advanced data analysis and automation tasks.
Problem-solving: You should be able to identify problems, analyze data, and develop solutions to improve sales performance.
Data interpretation and visualization: You'll need to be able to interpret complex data, identify patterns, and present findings in a clear and concise manner.
Critical thinking and pattern recognition: You should be able to analyze data, identify trends, and develop insights that inform business decisions.
Actionable insights: You'll need to be able to translate data into actionable recommendations that drive sales growth and improvement.
Sales processes and metrics: You should be familiar with sales metrics, such as conversion rates, sales cycles, and revenue targets.
Industry trends and best practices: Staying up-to-date with industry trends, benchmarking, and best practices can help you develop effective sales strategies.
Financial concepts: You should understand financial concepts like ROI, profit margins, and revenue growth to make informed business decisions.
Strategic thinking and planning: You should be able to develop strategic plans to drive sales growth and improvement.
Communication: You should be able to communicate complex data insights and recommendations to both technical and non-technical stakeholders.
Collaboration and teamwork: You'll need to work closely with sales, marketing, and other teams to drive sales growth and improvement.
Presentation skills: You should be able to present data insights and recommendations in a clear and concise manner.
Adaptability and willingness to learn: You should be able to adapt to changing business needs, new tools, and emerging trends.
Associate’s degree required

Nice To Haves

Bachelor’s Degree preferred.

Responsibilities

Collecting and analyzing sales data from various sources, such as CRM systems, marketing automation tools, and customer feedback platforms.
Creating comprehensive reports on sales performance, including metrics such as revenue growth, win rates, and sales cycle length.
Identifying trends and patterns in sales data to inform business decisions and drive growth.
Presenting findings to stakeholders, including sales leaders, product managers, and executives, to drive data-driven decision making.
Developing accurate sales forecasts using historical data, market trends, and business intelligence.
Analyzing historical sales data to identify patterns and trends that inform forecasting models.
Adjusting forecasts based on new information, such as changes in market conditions or sales strategies.
Communicating forecasts to leadership and other stakeholders to inform business decisions.
Maintaining and updating CRM systems to ensure data accuracy and completeness.
Ensuring data integrity and security, and performing regular audits to identify areas for improvement.
Designing and optimizing sales territories to maximize revenue potential and minimize overlap.
Setting and adjusting sales quotas based on business goals, market conditions, and sales performance.
Analyzing territory and quota performance to identify areas for improvement and optimize resource allocation.
Recommending changes to territory and quota structures to drive business growth and improved sales performance.