Revenue Data Analyst
See all open roles at viamericas corporation →
Some ghost-posting signals
- open for 113 days (90+ without a fill is a strong ghost signal)
- 24 open roles at this company in 30 days (mass-hiring blitz)
- no salary disclosed (correlates with ghost postings)
See your fit for this role and apply with a truthfully tailored résumé.
About the role
Duties and responsibilities
Develop and maintain comprehensive profitability analysis by agents, country, and payer, providing insights into key drivers and areas for improvement.
Work collaboratively with the sales operations team in the development and implementation of pricing guidelines and policies.
Monitor agency performance, investigating and identifying variance to expectations due to pricing.
Conduct competitive benchmarking to identify off-market pricing and analyze competitor trends in order to support the development of the company’s pricing strategy and market positioning.
Develop predictive models and forecasting tools to anticipate trends in transaction volumes, revenue, and profitability.
Leverage advanced skills in Microsoft Excel, SQL, and data visualization tools to deliver high-quality data analysis and insights to internal stakeholders and clients. Develop, maintain, and automate dashboards, metric reports, and visualizations to support data-driven decision-making.
Develop and maintain an agent segmentation and performance review process with clear action items by segment (Decliners / Underperformers / Low profitability) Manage and update the competitive report.
Information Security Responsibilities
Read, acknowledge and comply with Viamericas Staff Information Security Policy via the Information Security training portal. This should be done within 30 days of hire and repeated annually.
Attend periodic Information Security training provided by Viamericas’.
Report any event that might be an Information Security Incident: clicked on a malicious link, downloaded and opened a suspicious file, etc.
Qualifications
Bi-lingual (Spanish / English)
Minimum 2 years working experience in technical data analysis, working with large data sets and with proven business analysis experience
Experience with Microsoft Office, Power BI, and SQL, required. Experience with Python, R, or Javascript is a plus
Time management: Able to prioritize and handle multiple tasks at the same time.
Detail oriented with an analytical mindset
Creative critical thinker with excellent presentation skills, verbal and written communication skills, and interpersonal skills
Highly motivated team player with a strong desire for success
Responsibility: Owner of the task allocated to daily schedule.
Working Conditions
General office working conditions, reporting to the office on a hybrid schedule (3 days per week.).
Stop applying to ghosts.
OyaPilot surfaces only verified, real jobs, scores your fit, and tailors your application truthfully.
Do more with OyaPilot