Senior Analytics Engineer - remote job

Kalibrate is hiring a Senior Analytics Engineer - a senior role, so the employer expects you to make the calls yourself. The role sits in IT and programming and is fully remote. The company places no restriction on where the candidate lives, so you can apply from anywhere.

The advert singles out Python, so experience with that one tool is what will decide it.

The employer did not publish a figure; that is settled at interview. The advert sets no condition on working hours.

This vacancy passed an automated check: the list excludes any advert requiring a foreign work permit, visa sponsorship, a particular citizenship, or residence in a specific country.

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