Omnichannel RTM e Value Realization Expert

Job Title: Insights and Analytics Expert

Location: Milan, Italy

Reports to: Customer Success Manager

Company: Sirvis Italy

About Sirvis Italy: Sirvis Italy is a pioneering force in the digital transformation within the B2B sector, specifically targeting the HoReCa industry. Our platform is rapidly growing across Italy and other European markets, rooted in our extensive experience in transforming commercial capabilities in the HoReCa channel. We offer more than just a digital tool; we provide a holistic transformation that enhances capabilities, evolves processes, manages change, sets strategic directions, and leverages advanced data management. At Sirvis, we believe true digitalization in the HoReCa sector involves creating an ecosystem where technology, human relationships, and industry insights converge. We empower wholesalers with the right tools to efficiently and effectively serve HoReCa businesses, fostering meaningful partnerships between suppliers and enterprises. Committed to excellence and sustainability, Sirvis is redefining the HoReCa sector's digital landscape, aiming to improve client well-being while ensuring a safe, collaborative environment for our teams.

Job Description: As an Omnichannel RTM e Value Realization Expert , you are responsible for shaping a deep understanding of the data generated across our HoReCa ecosystem and turning it into actionable business insight. You act as a reference point for data interpretation, analytical rigor, and insight generation, supporting strategic and operational decision‑making across the organization.

You analyze complex datasets to uncover trends, patterns, and performance drivers, translating them into clear, high‑value insights that inform business priorities and future directions. Through advanced analytics and data visualization, you deliver intelligent reporting that enables teams, managers, and executives to make data‑driven decisions and improve overall performance.

You contribute directly to the design and evolution of data models, reporting structures, and analytical frameworks, ensuring data consistency, reliability, and long‑term usability. You also play a key role in defining and applying data governance principles, collaborating with internal stakeholders and external vendors to ensure data quality, alignment, and scalability.

This role requires strong analytical expertise, business acumen, and the ability to connect data to concrete business outcomes, acting as a trusted expert

Key Responsibilities:

• Dashboard Creation: Develop dashboards for business tracking and trend analysis.
• Dashboard Ownership: Ensure all dashboards generated by our business unit are accurate, insightful, and user-friendly, encouraging constant engagement with all levels of cross-functional teams.
• Ad-Hoc Reporting: Create ad-hoc queries and reports as requested and provide ongoing analytical support for these requests.
• Actionable Insights: Synthesize data points and provide actionable insights to support Sirvis leaders' decision-making.
• Monitoring and Metrics: Monitor analytics and metrics results, look for anomalies, and ensure action is taken when needed.
• Long Range Planning: Collaborate on long-range planning with leaders by bringing relevant data points to inform future strategies.
• Data Profiling: Perform data profiling to identify and understand anomalies.
• Data Structure Strategy: Lead the data structure strategy and the deployment of data to the data warehouse/lake in collaboration with 3rd party providers.
• Data Governance: Develop and execute a Sirvis-specific data governance framework in collaboration with all internal teams and external vendors.
• Advanced Analytics: Leverage advanced analytics to automate recommendations to various stakeholders, such as suggesting orders and optimizing inventory levels.
• Customer Visits: Regularly visit customers to gather feedback, learn about their needs, and adjust Key Business Indicators (KBIs) to better align with customer expectations and market demands.
• Customer Segmentation: Develop and execute a comprehensive customer segmentation strategy to tailor services and communications effectively for both buyers and sellers.
• Analytics and Automation: Build and maintain analytics frameworks essential for process automation and the monetization of the digital platform. Leverage data to inform decision-making, improve customer engagement, and drive platform enhancements.
• Feedback Loop and Customer Experience: Serve as the voice of the customer within the company, sharing feedback and insights with product development, marketing, and sales teams to help shape future product enhancements and sales strategies.
• Targeting for Sales Force: Utilize data to develop targeting strategies for the sales force, ensuring efficient and effective market coverage and customer engagement.
• PFP for Customers: Develop and implement pay-for-performance (PFP) models for customers to incentivize and reward desired behaviors, driving business growth.
• Automated Actions: Implement automated actions based on data insights to improve operational efficiency, customer satisfaction, and business outcomes.

Qualifications:

• Strong partnership and collaboration skills across cross-functional teams.
• Analytical skills and curiosity.
• Proven experience in handling Power BI, Azure cloud, R language and data modeling & engineering tools
• Strong stakeholder management and leadership towards internal teams and external vendors.
• Ensure the use of business intelligence applications enhances business decision-making capabilities.
• Experience in training end-users and evaluating the effectiveness of implemented technologies.
• Ability to build required reports in a timely manner.
• Ability to handle multiple projects simultaneously.
• Identify data quality issues and lead a data governance framework.
• Critical thinking and problem-solving skills and aptitude.

What We Offer:

• A vital role in leveraging data to drive business value.
• The opportunity to work with a dynamic, growing team in the digital transformation space.
• Competitive compensation and benefits.

Key Business Indicators (KBIs) for the Role:

• Dashboard Usage: Track the utilization of dashboards across the organization to ensure they are meeting user needs.
• Dashboard Reliability: Proactiveidentification on quality issues data, immediate recovery plan and mitigation repetitive issues plan
• NPS: Monitor Net Promoter Score to gauge customer satisfaction and loyalty.
• Complaints per Month: Track and analyze customer complaints to identify areas for improvement.
• SLA Compliance: Ensure service level agreements are met consistently, improving reliability and customer trust.