Remote Analyst/senior data Jobs – 88 Open Jobs Today

Senior Data Analyst
Netomi —Remote
- Full-time
- Remote
- Data analysis skills
- SQL
- Analysis skills
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Senior Data Analyst
Spreetail —Remote
- Email
- Remote
- Microsoft Excel
- English
- Windows
- Work from home
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Senior Business Analyst
Cimpress —Remote
- Remote
- Master's degree
- SQL
- Analysis skills
- Work from home
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Senior Appraisal Analyst
Handmark Co —Remote
- From ₹7,50,000 a year
- Full-time
- Remote
- Microsoft Excel
- Paid time off
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Senior Data Analyst
Precision AQ —Remote
- Online application
- Remote
- Microsoft Powerpoint
- Microsoft Excel
- Microsoft Access
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6d
Senior Analyst
Cimpress —Remote
- Remote
- Merchandising
- SQL
- Marketing
- Work from home
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Senior Data Analyst
Precision Medicine Group —Remote
- Online application
- Remote
- Microsoft Powerpoint
- Microsoft Excel
- Microsoft Access
6d
Senior Data Analyst, RWD
Norstella —Remote
- Full-time
- Remote
- Computer Science
- Laboratory experience
- Databases
- Health insurance
Senior Analyst, Data Analytics
FinalQuadrant SuiteCase —Remote
- Remote
- Computer Science
- SQL
- Analysis skills
Senior Business Analyst
Codetoday.io —Remote
- ₹1,30,000 - ₹1,50,000 a month
- Remote
- Azure
- DevOps
- SQL
Quick apply
Project Manager+Senior Business Analyst
Luxoft —Remote
- Remote
- Microsoft Powerpoint
- Microsoft Excel
- English
Strategy & Operations Analyst
TD Synnex —Remote
- Full-time
- Remote
- Microsoft Excel
- Master's degree
- Analysis skills
13d
Senior Data Analyst- WFH (3+ Years)
Outsource Bigdata —Remote
- Remote
- Microsoft Excel
- DevOps
- Databases
- Work from home
Senior Data Analyst (with SAP ECC experience)
SimplyTech Consulting —Remote
- From ₹15,00,000 a year
- Remote
- Microsoft Excel
- Azure
- ERP systems
Quick apply
5d
Senior Data Engineer
Ciklum —Remote
- Full-time
- Remote
- Azure
- DevOps
- SQL
- Health insurance
2d
Senior Data Engineer (US Est Time zone)
WyzentiQa Xcellencce (OPC) Pvt. Ltd. —Remote
- ₹5,09,356.57 - ₹12,00,000.00 a year
- Full-time
- Remote
- Azure
- SQL
- Analysis skills
- Paid time off
- Flexible schedule
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Sr. Manager, Data & Analytics
Sumeru —Remote
- Full-time
- Remote
- Master's degree
- SQL
- Business development
Senior Data Engineer
Innovecture —Remote
- Remote
- SQL
- AWS
- APIs
Quick apply
10d
Senior SQL Developer / Database Architect
ThoughtVerve Private Ltd —Remote
- ₹20,00,000 - ₹30,00,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- Databases
Quick apply
6d
Technical Support Analyst I
CSG —Remote
- Weekend availability
- Remote
- Oracle
- Computer Science
- Databases
- Work from home

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Senior Data Analyst

Netomi -
Remote

Quick apply

Job details

Full-time

Qualifications

Power BI
Data analysis skills
Tableau
SQL
Analysis skills
Machine learning
AI
Python
Analytics

Full job description

About the Company:

Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.

Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!

About the Role:

As a Senior Data Analyst, you will be responsible for preparing, analyzing, and interpreting large datasets to support the development and evaluation of machine learning models. Your work will focus on ensuring high-quality data, identifying meaningful patterns, and generating actionable insights that contribute to AI-driven solutions. This role demands strong analytical skills, attention to detail, and a keen interest in working with machine learning data in a dynamic, fast-paced environment.

Responsibilities

Own enterprise client onboarding for agentic AI implementations, including data analysis, topic clustering, coverage planning, and workflow/action design
Design, implement, and optimize prompts, conversation flows, agent logic, and knowledge configurations for production AI agents
Deliver AI solutions end-to-end, from solution design through UAT, production launch, and post-go-live optimization
Own post-launch AI performance at the client level, driving improvements in containment, resolution quality, and handoff reduction
Analyze conversation data, quality signals, and DSAT drivers to identify root causes and optimization opportunities
Implement iterative improvements across prompts, workflows, actions, guardrails, and knowledge bases based on data and evaluation results
Collaborate with AI Quality & Evaluation teams to validate response accuracy, conversation quality, and regression risk
Partner with Client Analytics and ML-Ops teams to act on insights, platform changes, and production issues
Mentor junior analysts and engineers through design reviews, solution feedback, and applied AI best-practice guidance

Requirement

5+ years of experience in applied AI, conversational AI, analytics, or AI-powered customer experience solutions
Hands-on experience with LLMs, prompt engineering, agent workflows, and tool/action-based AI systems
Experience working with real-world customer interaction data (chat, tickets, email, call transcripts, or voice data)
Strong analytical ability to diagnose and resolve AI behavior issues across prompts, knowledge, workflows, evaluation, and user experience
Working knowledge of SQL and Python for data analysis, experimentation, and debugging AI behavior
Ability to use Tableau, Power BI, or similar BI tools to analyze trends, quality signals, and performance metrics
Experience collaborating with cross-functional teams including analytics, quality, product, and ML-Ops
Comfortable working directly with enterprise customers and translating ambiguous requirements into clear, scalable AI solutions

Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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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