Sales Operations Analyst - SQL, Power BI, Salesforce

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.

Duties and Responsibilities:

Data Analysis and Reporting

In this role, you will be responsible for collecting and analyzing large datasets to identify trends, patterns, and areas for improvement. Your tasks may include:

• 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.

Sales Forecasting

Your responsibilities will include developing accurate sales forecasts, analyzing historical data and market trends, and adjusting forecasts based on new information. Your tasks may include:

• 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.

CRM Management

You will be responsible for maintaining and optimizing CRM systems to ensure data accuracy, completeness, and usability. Your tasks may include:

• 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.

Sales Territory and Quota Management

Your responsibilities will include designing and optimizing sales territories, setting and adjusting sales quotas, and analyzing territory and quota performance. Your tasks may include:

• 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.

Technical Skills

To succeed as a Sales Operations Analyst, you'll need to be proficient in the following technical skills:

• Data analysis tools:Excel, SQL, Power
  
  BI, and other data visualization tools are essential for data analysis and reporting.
• CRM systems:Experience with CRM systems like Salesforce, Hub Spot, or Microsoft Dynamics 365 is crucial for managing and maintaining sales data.
• Sales automation tools:Familiarity with sales automation tools like Outreach, Sales Loft, or Zoom Info 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.

Analytical Skills

• 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.

Business Acumen

Solid understanding of business concepts, including:

• 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…