Remote Data analytics mentor Jobs – 109 Open Jobs Today

Engineering Team Lead
Spreetail —Remote
- Remote
- AI
- Communication skills
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Platform Architecture & Engineering Lead
RushCiti —Remote
- ₹380 an hour
- Part-time
- Remote
- Computer Science
- DevOps
- Master's degree
- Flexible schedule
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AI engineer
MyData Insights Private Limited —Remote
- Remote
- Azure
- Master's degree
- SharePoint
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KDB Developer
Luxoft —Remote
- Remote
- English
- Analysis skills
- Mentoring
4d
PySpark & Dataproc Tech Lead
HoonarTek —Remote
- Full-time
- Remote
- Research
- Agile
- Leadership
Principal Technical Consultant Lead, ServiceNow
AHEAD —Remote
- Full-time
- Remote
- Mentoring
- AI
- Health insurance
- Paid time off
Senior Development DBA
Insight Software —Remote
- Full-time
- Remote
- Azure
- Oracle
- Computer Science
Senior Power BI Developer
Appzlogic Mobility Solutions Pvt Ltd —Remote
- Full-time
- Remote
- Azure
- Oracle
- Computer Science
- Health insurance
- Work from home
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Onboarding Area Sales Manager
Restrora —Remote
- ₹15,000 - ₹38,000 a month
- Full-time
- Remote
- Bachelor's degree
- Health insurance
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IT Technical Lead
Jabil Circuit —Remote
- Full-time
- Remote
- DevOps
- Research
- AWS
Product Engineer II
AHEAD —Remote
- Remote
- Computer Science
- Windows
- Assembly
- Health insurance
- Paid time off
Senior ServiceNow Technical Consultant
Milestone Technologies, Inc. —Remote
- Remote
- JavaScript
- APIs
- AI
Fusion FDI Technical Lead
Codevian Technologies —Remote
- Remote
- Oracle
- Computer Science
- English
Site Reliability Engineer - India
Zimperium —Remote
- Full-time
- Remote
- Software troubleshooting
- DevOps
- Java
Performance Marketing Manager
Bizetikk 24 Private Limited —Remote
- ₹80,000 - ₹1,00,000 a month
- Full-time
- Remote
- Management
- Marketing
- Salesforce
- Paid sick time
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13d
Senior Data Engineer( Snowflake , Azure)
3Pillar —Remote
- Full-time
- Remote
- Azure
- Java
- Databases
12d
Sales Head – India (AMISP & Smart Metering Solutions)
Cuculus GmbH —Remote
- Remote
- Sales
- Engineering
- Master's degree
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Lead Software Engineer - Platform Data Team
HighLevel —Remote
- Remote
- Azure
- System design
- SQL
Technical Lead Manager
Outsource Bigdata —Remote
- Full-time
- Remote
- Computer Science
- System design
- Master's degree
- Work from home
Staff Engineer (Adobe Campaign Adobe Real-Time CDP)
Nagarro —Remote
- Full-time
- Remote
- Computer Science
- Master's degree
- Analysis skills
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Engineering Team Lead

Spreetail -
Remote

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Job details

Qualifications

B2B
AI
Communication skills

Full job description

The Merch Tech Lead serves as the technical leader who owns key business outcomes and drives them by leading execution across the entire technology stack. Achieving these outcomes requires rapid experimentation, scaling successful experiments, and building infrastructure in phases while guiding a team of highly motivated engineers. The role also owns two platforms-Customer-facing BEx and the internal stakeholder-focused Operation Station. Together, these platforms support multi-million-dollar decisions across the business. Our goal with them is to leverage heuristics, internal stakeholders' insights, and AI to drive automation of actions. The core new module to be owned by this role is the Attribution Engine, which will tie our automation and measurement!

Additionally, this role ensures we are building highly scalable data platforms, intuitive front-end experiences, and reliable workflow automation that enable hundreds of vendors to make better and faster decisions.

The Merch Tech Lead is hands-on in guiding engineers, setting technical strategy, championing AI-enabled development, and establishing a culture of rapid experimentation. Shortening feedback loops is critical!

How will you achieve success:

Owns the business outcomes for the team in partnership with Product and Design team members.
Outside of business outcomes, significantly contributes to increased BEx adoption, reduced platform issues, and faster time-to-insights for merchants.
Owns and evolves the technical architecture for BEx and Merch Plays to improve availability, scalability, and data accuracy.
Drives tech decision-making that supports the multi-year growth of Merch Tech platforms, including planning phased, smart, and strategic investment in infrastructure
Our users drive multi-million $ decisions on a daily basis. Their experience is most critical to ensure that it meets a high bar. Examples include measurably improves UI/UX performance: reduced latency, higher data consistency, stronger alerting, and monitoring systems.
Ensures high-quality releases through code reviews, technical oversight, and strong engineering standards.
Leads the engineering implementation of automation-driven tooling, new technologies, including workflow engineering and AI
Collaborates deeply with Product, Analytics, Merch Ops, Brand Management, and Supply Chain to translate business needs into scalable technical solutions.
Mentors engineers, develops technical leadership on the team, and fosters a culture of curiosity, accountability, and high ownership.

What experiences will help you in this role:

6-8+ years of software engineering experience, with deep expertise in data platform engineering, backend systems, and front-end application development.
Proven ability to design rapid experiments AND/OR scaling up successful experiments and evolve large-scale distributed platforms. Strong communication with various types of stakeholders
Experience as part of a small team, preferably in Indian startups
Experience in B2B and e-commerce would be preferred
Strong problem-solving skills and ability to work in ambiguity with rapid iteration cycles.
Demonstrated success in influencing cross-functional partners, including Product, Analytics, Merch Ops, and executive stakeholders.
Prior experience with workflow automation, reporting platforms, or merchant/analytics systems is a plus.
Ability to mentor and develop engineers at multiple levels.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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