Senior Analytics Engineer（远程职位）

这条招聘信息来自 Kalibrate，岗位是 Senior Analytics Engineer：这是高级职位，公司期待由你自己拿主意。职位属于「IT 与编程」类别，完全远程。公司不限制候选人的居住地，在任何地方都可以申请。

招聘信息单独点名了 Python，也就是说，正是这一项工具的使用经验会成为决定因素。

公司没有公布具体数字，这一项会在面试时谈定。对工作时间，招聘信息没有提出任何条件。

这个职位通过了自动核查：凡是要求外国工作许可、签证担保、特定国籍，或者必须居住在指定国家的招聘信息，都不会进入列表。

The Sr. Analytics Engineer is responsible for leading complex analytical engineering initiatives, ensuring data readiness across engagements, and serving as a technical expert within the organization. This role provides technical leadership, mentors junior engineers, drives process improvements, and ensures analytical workflows are scalable, efficient, and aligned with business objectives. Core Responsibilities:

* Technical Leadership: Serve as a subject matter expert for analytics engineering processes, tools, and best practices while providing guidance to junior team members.

* Complex Data Preparation & Transformation: Lead preparation, validation, and integration of complex 1 st party, 3 rd party, and internal datasets to support advanced analytical solutions.

* Quality Assurance & Delivery Excellence: Establish and enforce quality standards to ensure analytical outputs are accurate, reproducible, and aligned with client requirements.

* Mentorship & Knowledge Sharing: Coach Associate and Analytics Engineers through technical reviews, workflow guidance, and skills development.

* Process Optimization & Innovation: Drive automation, standardization, and continuous improvement initiatives to improve scalability and operational efficiency.

* Project Leadership: Lead technical execution for complex client engagements, coordinate across teams, and proactively manage delivery risks.

* Cross-Functional Partnership: Collaborate closely with Data Science, Customer Success, and Product teams to align analytical execution with business objectives and client expectations

Requirements Success Metrics:

* Accuracy and reliability of data outputs

* Successful delivery of complex projects • Reduction in manual effort and operational inefficiencies

* Adoption of best practices and standardized processes

* Development and mentorship of junior team members

* Stakeholder satisfaction and confidence in deliverables Qualifications

Qualifications:

* 6-10 years of experience in analytics, data engineering, consulting, or related fields

* Advanced proficiency with technical analytical tools (e.g., Alteryx, Python, etc.)

* Strong understanding of model prerequisites and analytical workflows

* Proven experience leading complex technical projects

* Excellent communication and stakeholder management skills

* Experience mentoring junior technical staff Development Expectations Provide technical leadership through influence and expertise, elevate team capabilities through coaching and mentorship, promote best practices, and drive continuous improvement across analytical engineering operations.

Originally posted on Himalayas