2 Sales Insights Jobs

DEAL DESK ANALYST Jab Description Responsibilities: . . As a steward of the order to cash process, you will understand the ins and outs of Linkedin sales policies, processes, and systems &t support the internal tearns with the processing ofall cases. Provide consultative support to Sales Representatives on the Deal Desk process via email, video conference, internal messaging tools, and cases/Service tasks within the CRM Provide operational and administrative support to Sales Representatives Monitors the Deal Desk Case queues, consistently maintaining case SLAs and handling requests defined in scop. Follow up with Sales Representatives to retrieve required Information to resolve cases quickly and in accordance with Linkedin sales policies Ahility to work across NAMER, FMEAL, or APAC time zones Work with Cross functional Teams on cases where required to resolve the case Bulld and maintain strong relatlonships and communication with Sales Team, In- house Global Deal Desk Team & cross-functional teams Educate Sales Representatives in partnership with the in-house Deal Desk team on processes, and best practices, to improve performance and release sales capacity to core sales activities Manage escalations on the Deal desk cases enquiries by prioritizing such cases. Provide support to other team members, assisting with onboarding, day-to-day training, and working to solve problems Preferred Qualifications: 2+ years' experience in Enterprise SaaS/B2B Industry, deal desk, Quote to Cash, sales operations or contracts management Excellent interpersonal, proficient English Writing & Verbal communication skills is mandatory Experience of working effectively with Multiple Stakeholders and Cross functional Teams. Strong business acumen, organizational, time management skills and attention to detail Ability to learn quickly in a dynamic and collaborative environment Ability to multitask & process a high volume of transactions with accuracy at times during Month end & Quarter end. Proficient with Google and Microsoft Office products Understanding of and experience with quote-to-cash processes and Sales lifecycle preferred Experlence in CRM like Microsoft Dynamics 365, Salesforce and Oracle is preferred Ability to Operate with Customer-focused mindset Interacting effectively with remote teams

Skill required: Sales Insights & Intelligence - Sales Enablement Designation: Analytics and Modeling Senior Manager Qualifications: Any Graduation Years of Experience: 16 to 25 years About Accenture What would you do As the Team Lead, and a key member of the Sales Operations Transformation - Data Analytics, Reporting & Visualization team, you will head a cross-functional team of Data Scientists and Visualization experts working within the Sales Operations transformation space. The ideal candidate brings a strong background in advanced analytics, business intelligence, and sales domain knowledge, along with a proven track record in project delivery, stakeholder management, and team leadership.Key responsibilities include:Drive and oversee the design, development, and deployment of data science models and visualization solutions that support sales strategy, performance tracking, and revenue optimization.Drive collaboration across functional, technical, and global teams to ensure solutions are aligned with business needs and deliver measurable outcomes.Manage project timelines, resource planning, and risk mitigation across multiple workstreams while maintaining high standards of quality and delivery.Serve as a subject matter expert in Sales Operations analytics, providing thought leadership, mentorship, and guidance to both technical and non-technical stakeholders..This is a high-impact role where technical acumen meets business strategy, and your work will directly influence sales operations transformation through AI-powered innovation. What are we looking for We are looking for individuals who bring a blend of strategic thinking, operational expertise, and a passion for transformation. The ideal candidate will have the following skillset:Strong background in Sales Operations, CRM data, and sales process optimization.Proven experience in data analytics, data science, and business intelligence.Proven experience in leading teams that deliver both advanced statistical models and interactive dashboards.Deep understanding of Python (Pandas, NumPy, Scikit-learn) for data modeling and analytics.Strong command over Power Query, Power Pivot, Power BI and BI architecture for visual storytelling and dashboarding.Hands-on experience with SQL, data management, and data modeling practices.Excellent stakeholder management and communication skills.Experience working with global, cross-functional teams.Proficiency in Microsoft Excel for data analysis and reporting.Experience in driving transformation initiatives through automation and advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), and systems integration Roles and Responsibilities: Strategic Leadership & DeliveryoLead the end-to-end delivery of AI, analytics, and visualization solutions across sales operations workstreams.oAlign team objectives with Sales Excellence and Sales Transformation strategyoDrive solution design, data strategy, and execution across data science and BI tracks.oOversee solution scalability, reusability, and integration into business processes.Team ManagementoManage, mentor, and grow a high-performing team including L8/L9 Data Scientists and Power BI developers.oProvide technical and functional guidance to team members.oConduct regular performance reviews, skill development sessions, and team health checks.oOversee capacity planning and work allocation.Stakeholder EngagementoCollaborate with senior business leaders, sales stakeholders, and global teams to define problem statements, KPIs, and success metrics.oServe as the client-facing SME for all analytics and visualization needs in the sales domain.oEnsure strong communication of findings, models, and visualizations through effective storytelling.Technical OversightoEnsure high-quality delivery of data science models (predictive, diagnostic, prescriptive) and dashboards.oReview and validate model outcomes, dashboards, and visual designs.oEncourage adoption of best practices in code management, versioning, and model documentation.oEnsure data quality, governance, and secure access across platforms Qualification Any Graduation