商业分析师-数据科学
Business Analyst- Data Science
职位描述：
我们正在寻找一位高度组织化且注重流程的业务分析师，以支持数据科学部门，涵盖数据科学和数据分析领域。理想的候选人应在技术环境中拥有业务分析或项目协调的扎实背景，并具备在快速发展的跨职能工作中带来结构和一致性的能力。该职位将涉及减轻部门工作流程中的行政负担，并负责数据科学模型优先级的设定、沟通和执行流程。
该职位为远程办公。
主要职责：
需求与流程管理
· 为数据科学和分析团队的Jira看板带来结构和一致性，减轻团队领导的行政负担，具体方法将与部门领导合作确定。
- 在Jira中捕捉、记录并优化数据科学和分析团队的业务需求。
- 识别两个团队在需求收集和文档编写流程中的优化机会。
数据科学模型组合管理
· 构建和维护仪表盘、优先级列表和文档，跟踪部门数据科学模型的状态、健康状况和即将开展的工作。
- 与部门领导共同设计部门如何对数据科学模型工作进行优先级排序——包括涉及的人员、使用的标准以及如何记录和沟通。日常负责并运行该优先级排序流程。
- 与数据科学家和分析师合作，了解模型状态，并揭示影响优先级的风险或障碍。
- 可能会支持或主导其他部门工作流在形成过程中的类似优先级讨论。
跨职能协作
· 作为部门领导、数据科学/分析团队和内部利益相关者之间的关键联系人。
- 能够清晰简洁地向技术和非技术人员传达信息，包括书面和口头形式。
任职资格：
教育背景
· 商业、信息系统或相关领域的学士学位；或同等经验替代学位。
工作经验
· 5年以上业务分析师或项目经理经验，理想情况下支持技术部门或团队，包括管理需求收集、待办事项管理和优先级排序的技术团队经验。
查看英文原文
Job Summary:
We are seeking a highly organized and process-minded Business Analyst to support the Data Science department, spanning both data science and data analytics. The ideal candidate will have a strong background in business analysis or program coordination within a technical environment, with a proven ability to bring structure and consistency to fast-moving, cross-functional work. This role will involve reducing administrative burden across the department's workflows and owning the process by which data science model priorities are set, communicated, and acted on.
This position is a remote position.
Key Responsibilities:
Requirements & Process Management
· Bring structure and consistency to both the data science and analytics teams' Jira boards, reducing administrative burden on team leads, with the specific approach for each team defined in collaboration with department leadership.
- Capture, document, and refine business requirements in Jira for both the data science and data analytics teams as needed.
- Identify opportunities to streamline intake and documentation processes across both teams.
Data Science Model Portfolio Ownership
· Build and maintain dashboards, prioritization lists, and documentation that track the department's data science models — their status, health, and upcoming work.
- Co-design, with department leadership, the process for how the department prioritizes data science model work — including who is involved, what criteria are used, and how it's documented and communicated. Own and run that prioritization process day-to-day.
- Partner with data scientists and analysts to understand model status and surface risks or blockers that affect priorities.
- May support or lead similar prioritization conversations for other department workstreams as they take shape.
Cross-Functional Collaboration
· Serve as a key point of contact between department leadership, data science/analytics teams, and internal stakeholders.
- Communicate clearly and concisely to both technical and non-technical audiences, in written and verbal formats.
Qualifications:
Education
· Bachelor's degree in business, information systems, or a related field; or equivalent experience in lieu of a degree.
Experience
· 5+ years of experience as a Business Analyst or Project Manager, ideally supporting a technical department or team, including experience managing requirements intake, backlog management, and prioritization for a technical team.
- Experience presenting to leadership or senior stakeholders, including translating technical or operational status into clear business updates.
- Experience making or facilitating prioritization decisions, ideally within a defined framework or process.
- Experience or familiarity with healthcare claims data, payer, or PBM operations is a plus.
Technical Skills
· Proficiency with Jira (or similar tools) for requirements gathering, backlog management, and workflow design.
- Experience with dashboard/reporting tools (e.g., Tableau, Power BI) sufficient to build and maintain prioritization and status dashboards; hands-on dashboard-building experience is a plus.
- General understanding of data science/model concepts (e.g., model outputs, performance monitoring) sufficient to translate technical status into business updates — hands-on technical skill not required.
- Strong documentation skills and comfort building repeatable processes.
Key Competencies:
· Strong organizational skills with the ability to manage multiple workstreams and stakeholders simultaneously.
- Comfortable operating as the connective tissue between technical teams and business stakeholders — supporting, not supplanting, team leads' ownership of their own work.
- Confident decision-maker within a defined process; knows when a call is theirs to make and when it needs to go to leadership.
- Confident communicator, able to lead recurring meetings with leadership and speak to project status and priorities with clarity.
- Proactive — designs and improves processes rather than waiting to be told what's broken.
- Comfort operating in a compliance-sensitive environment where documentation and process rigor matter.
This job description serves as a general overview of the role and is not exhaustive. This role may be required to perform additional responsibilities as needed to support the organization’s goals and objectives.
Who is SmartLight Analytics:
SmartLight Analytics was formed by a group of industry insiders who wanted to make a meaningful impact on the rising cost of healthcare. With this end in mind, SmartLight works for self-funded employers to reduce the wasteful spend in their healthcare plan through our proprietary data analysis. Our process works behind the scenes to save money without interrupting employee benefits or requiring employee behavior changes.
Originally posted on Himalayas