Sales Operations & Business Analyst Associate

About OnebyZero OnebyZero is a next-generation Data and AI consulting company, headquartered in Singapore and driving impact across APAC. As an AWS-exclusive partner, we help enterprises modernize data, transform with AI, and apply Generative AI in ways that deliver real business results. Our vision is simple while at the same time ambitious: to make AI adoption both impactful and human-centered. We collaborate with leading enterprises in banking, telecommunications, retail, and other industries to help them unlock tangible value from their data and AI initiatives. By combining deep industry expertise, trusted partnerships, and a relentless focus on outcomes, OnebyZero empowers organizations to go beyond pilots and achieve lasting, scaled impact About the Role This is a hands-on execution role for someone with strong sales operations instincts and an analytical mindset — pipeline tracking, data hygiene, deal insights, forecasting support, and process efficiency. The role also provides operational support to partnership and alliance initiatives as a secondary responsibility. The ideal candidate is not just a tracker but a thinker — someone who can look at pipeline data and tell a story about what's happening, what's at risk, and where the opportunities are What You'll Do & The Impact You'll Have Sales Operations & Pipeline Management (Core) Own and maintain the sales pipeline tracker — ensuring accuracy, completeness, and CRM hygiene at all times. Support weekly sales cadence by collecting pipeline updates, tracking lead status and stage progression, and flagging stale deals or data gaps. Prepare weekly and monthly pipeline reports, forecast summaries, and conversion analyses for sales leadership. Coordinate across sales, presales, and delivery teams to ensure data accuracy and alignment. Build and maintain dashboards that give clear visibility into pipeline health, win rates, and deal velocity. Work in close coordination with the Partnership Ops team to ensure all active deals are accurately and consistently reflected at both ends — no discrepancies between CRM and AWS Partner Central (ACE) entries. Deal Insights & Business Analysis (Core) Go beyond tracking — analyze pipeline data to surface meaningful insights on deal health, stage progression, and likelihood to close. Identify patterns in won/lost deals and provide actionable commentary to help the sales team course correct. Flag deals that are at risk due to inactivity, missed follow-ups, or unusual stage durations, and escalate proactively. Provide deal-level insights to sales managers — highlighting which deals need attention, which are moving well, and where bottlenecks exist. Support opportunity reviews and QBRs with structured data analysis and clear visualizations. Build simple scoring or prioritization frameworks to help the sales team focus on the right deals at the right time. Track and analyze leading indicators (meeting activity, proposal submissions, response times) alongside pipeline metrics. Sales Reporting & Analysis Produce regular sales performance reports (pipeline coverage, conversion rates, deal aging, team activity). Assist in quota tracking and attainment reporting. Prepare clear, concise summaries and visualizations for weekly sales reviews and leadership updates. Support ad hoc analysis requests from sales leadership (e.g., segment performance, campaign ROI, lead source analysis). Translate data into plain-language narratives that non-technical stakeholders can act on. Process Automation & Efficiency Identify repetitive manual processes across sales operations and implement simple automation solutions. Build and maintain automated trackers, dashboards, and workflows. Automate routine reporting (weekly pipeline updates, conversion metrics, activity summaries). Continuously improve data collection and reporting processes to improve accuracy and turnaround time. Sales Enablement Coordination Support planning and execution of enablement sessions for sales teams on internal tools, processes, and programs. Prepare easy-to-understand summaries, cheat sheets, and process guides for sales teams. Track participation, feedback, and effectiveness of sessions Partnership & AWS Operations Support (Secondary) Assist with day-to-day management of AWS Partner Central and ACE (AWS Customer Engagements) entries. Maintain trackers for funding applications (PoC, MDF, etc.) and ensure status logs are up to date. Support certification tracking across teams — sending reminders and following up on completion targets. Assist in compiling inputs for the AWS Partner Overview Deck, Marketplace listings, and SDP submissions. Maintain a central repository of partnership-related documents, case studies, and credentials. Requirements What You'll Bring to the Table Must-Have Skills: 1–3 years of experience in sales operations, revenue operations, business analysis, or CRM management roles. Strong proficiency in Excel or Google Sheets — pivot tables, dashboards, and data cleaning are must-haves. Experience maintaining CRM data (Salesforce, HubSpot, or similar). Analytical mindset — able to look at pipeline data and draw meaningful, actionable conclusions. Comfortable building simple frameworks, scorecards, or prioritization models to support sales decision-making. Attention to detail with the ability to manage multiple trackers and reporting cycles simultaneously. Interpersonal Skills: High reliability: Consistently follows through on tasks and deadlines without needing to be chased. Proactive communication: Flags risks and gaps before they become problems. Structured thinking: Brings order and clarity to messy data and processes. Storytelling with data: Can translate numbers into clear narratives that drive action. Team coordination: Works effectively across sales, finance, delivery, and partnership stakeholders. Ownership mentality: Takes responsibility for outcomes, not just activities. Ideal Candidate Profile Early-career professional looking to grow in sales operations, revenue operations, or business analytics. Data-driven and insight-oriented — not satisfied with just reporting numbers, wants to explain what they mean. Comfortable working cross-functionally and managing multiple stakeholders. Interested in cloud/tech ecosystems and open to expanding into partnership operations over time. Thinks like an analyst, executes like an operator.