Sales Operations Data Analyst

Cytek Biosciences Inc•Fremont, CA

1h•$102,000 - $128,000•Onsite

About The Position

Cytek Biosciences is a leading life sciences technology company advancing the next generation of cell analysis solutions for biomedical research, drug discovery, and clinical research. The company develops innovative flow cytometry and cell analysis technologies designed to provide researchers with high-resolution, high-content, and high-sensitivity data to better understand complex biological systems. Cytek is recognized for its patented Full Spectrum Profiling™ (FSP®) technology, which captures the full fluorescence spectrum from multiple lasers to enable highly multiplexed and sensitive single-cell analysis. Its portfolio includes advanced flow cytometry platforms such as the Cytek Aurora®, Northern Lights™, Aurora CS, Aurora Evo, and Borealis™, along with reagents, software, and services that provide integrated solutions for researchers. Headquartered in Fremont, California, Cytek serves pharmaceutical and biotechnology companies, contract research organizations, and leading academic research institutions worldwide. The company’s mission is to enable scientists to obtain deeper biological insights and accelerate scientific innovation through powerful, accessible cell-analysis technologies. The Sales Operations Data Analyst will drive forecasting excellence, process optimization, and advanced analytics initiatives across our global sales organization. In this role, the candidate supports forecast accuracy improvements, leads sophisticated projects to streamline operational efficiency, and contributes to data-driven initiatives by applying advanced data processing techniques to extract, combine, and analyze data from multiple CRM and ERP sources. This role will focus on collaborating with Global Sales Leadership, Finance, Operations, and IT teams.

Requirements

Bachelor’s degree in a related discipline.
5+ years of data analytics experience; leading multiple projects of various scope/complexity from initiation to closeout, with data quality as a focus.
Exceptional data expertise in all aspects of data analysis, insights creation, and visualization.
Advanced CRM and ERP data processing skills, including building advanced reports and queries.
Strong flexibility to work with a variety of application development applications.
Exceptional organizational skills, detail-oriented, adaptive, and strong client-focused mindset.
Advanced Excel skills and proficiency in Salesforce, SAP, and Integrated Business Planning (IBP), experience with Python, SQL, or other data tools is a plus.
Background in supporting instrument manufacturing and life science products in forecasting or revenue planning is highly preferred.
Ability to manage a variety of tasks with tight timelines.
Excellent quantitative, analytical, written, and oral communication skills.
Comfortable navigating through ambiguity and crafting solutions without a defined guideline.
Strong work ethic and highly developed problem-solving skills.
Enjoy working under time constraints and can excel under pressure.

Nice To Haves

experience with Python, SQL, or other data tools is a plus.
Background in supporting instrument manufacturing and life science products in forecasting or revenue planning is highly preferred.

Responsibilities

Improve forecast reliability and accuracy for enterprise products, focusing on forecasting support and providing actionable insights for strategic accounts.
Incorporate data insights to guide sales strategies, inform business decisions, and align with forecasting objectives.
Assist with global data reconciliation across CRM, financial, and forecasting systems to validate data, resolve discrepancies, and ensure consistent, reliable reporting.
Ensure data hygiene in Salesforce and forecasting platforms by managing product updates, system configurations, pricing analysis and conducting regular pipeline reviews.
Establish metrics to measure forecasting performance, pipeline health, and data quality, and pinpoint areas for process improvement.
Provide hands-on support to the sales team by managing pipeline data, sales attainment dashboards, troubleshooting system issues, and delivering training and tools to enable efficient forecasting workflows.
Support forecasting projects, process automation, and analytics improvements to improve sales projections and operational scalability.
Perform exploratory data analysis to identify data inconsistencies, patterns, trends, and correlations in large data sets.
Support the identification and resolution of data anomalies, working closely with stakeholders to address issues promptly.
Extract reliable data from various sources to identify key insights and opportunities and challenges our clients should act on.
Conduct ad hoc analyses to answer specific business questions and provide accurate and actionable recommendations.