Revenue Operations Analyst

at  TimeLog AS

TimeLog is a leading Professional Services Automation (PSA) software, dedicated to helping professional service organizations, streamline business processes and boost productivity. TimeLog fills the GAP between Consultants, Project Managers and the Finance Department in the consulting business, empowering Project Managers to manage project financials in a way compliant with the requirements set by finance.

PROFESSIONAL QUALIFICATIONS/SKILLS

• Education: A bachelor’s degree in business administration, finance, economics, or a related field is preferred. Degrees in computer science, information systems, or data analytics are also valuable due to the data-driven nature of revenue operations.
• Technical Skills: Proficiency in CRM systems, marketing automation tools, and other sales and marketing technologies is essential. Advanced skills in Microsoft Excel or Google Sheets for data analysis and reporting are required. Expertise in HubSpot is highly preferred.
• Analytical Skills: Strong analytical abilities are necessary to interpret data, identify trends, and uncover opportunities for growth.
• Communication Skills: Excellent verbal and written communication skills are required for effective collaboration across departments and for presenting data insights to senior leadership.
• Attention to Detail: High attention to detail is crucial to ensure data accuracy and integrity in reporting and analysis.
• Experience: Prior experience in revenue operations, sales operations, or business operations is advantageous. Familiarity with sales and marketing automation tools, as well as data analysis and reporting, is beneficial.

• Data Management: Collecting, analyzing, and maintaining sales, marketing, and customer data to ensure accuracy and completeness in HubSpot and other databases.
• Process Improvement: Identifying process inefficiencies and recommending solutions to optimize revenue-generating processes.
• Sales and Marketing Support: Providing support to the Sales and Marketing teams by generating reports, conducting market research, and analyzing metrics to identify trends and opportunities.
• Revenue Analysis: Analyzing revenue performance and providing recommendations for improvement.
• Cross-functional Collaboration: Collaborating with Revenue Organisation teams and Product Management to drive revenue growth and ensure a seamless customer experience.
• Reporting: Generating reports and dashboards to provide insights into revenue performance and key performance indicators (KPIs) for leaders.