11+ Qualtrics Jobs in India

As a Senior Analyst you will play a crucial role in improving customer experience, retention, and growth by identifying opportunities in the moment that matter and surfacing them to teams across functions. You have experience with collecting, stitching and analyzing Voice of Customer and CX data, and are passionate about customer feedback. You will partner with the other Analysts on the team, as well as the Directors, in delivering impactful presentations that drive action across the organization.

You come with an understanding of customer feedback and experience analytics and the ability to tell a story with data. You are a go-getter who can take a request and run with it independently but also does not shy away from collaborating with the other team members. You are flexible and thrive in a fast-paced environment with changing priorities.

Responsibilities

• Stitch and analyze data from primary/secondary sources to determine key drivers of customer success, loyalty, risk, churn and overall experience.
• Verbalize and translate these insights into actionable tasks.
• Develop monthly and ad-hoc reporting.
• Maintain Qualtrics dashboards and surveys.
• Take on ad-hoc tasks related to XM platform onboarding, maintenance or launch of new tools
• Understand data sets within the Data Services Enterprise Data platform and other systems
• Translate user requirements independently
• Work with Business Insights, IT and technical teams
• Create PowerPoint decks and present insights to stakeholders

Qualifications

• Bachelor’s degree in data science/Analytics, Statistics or Business. Master’s degree is a plus.
• Extract data and customer insights, analyze audio or speech, and present them in any visualization tool.
• 5+ years of experience in an analytical, customer insights or related business function.
• Basic knowledge of SQL and Google Big Query.
• 1+ year of experience working with Qualtrics, Medallia or another Experience Management platform
• Hands-on experience with statistical techniques: profiling, regression analysis, trend analysis, segmentation
• Well-organized and high energy

Non-technical requirements:

• You have experience working on client-facing roles.
• You are available to work from our Bangalore office from Day 1 in a night shift. (US Shift)
• You have strong communication skills.
• You have strong analytical skills.

💡 The Role

We’re hiring a Revenue Operations Specialist who will act as the backbone of our go-to-market engine.

This is a builder role — not a maintenance role. You’ll design systems, automate workflows, and implement AI-driven processes across Sales, BD, and Marketing.

🤖 What You’ll Do

• Build AI agents and automation workflows across the revenue stack

• Use tools like Zapier, Make, n8n, Clay, and LLM-based workflows

• Own CRM (HubSpot/Salesforce) including structure, hygiene, and reporting

• Build dashboards to track pipeline health and performance

• Manage integrations across CRM, enrichment, outreach, and analytics tools

• Design lead lifecycle processes from acquisition to conversion

• Ensure seamless coordination between Sales, BD, and Marketing

🧠 Who You Are

• 3–5 years in Revenue Ops / Sales Ops / GTM Ops

• Strong CRM experience (HubSpot or Salesforce)

• Hands-on or strong interest in AI workflows and automation

• Experience with tools like Zapier, Make, n8n, Clay, Apollo, Outreach

• Strong analytical and systems-thinking mindset

• Startup-ready: self-driven, fast, and comfortable with ambiguity

• Clear communicator who can document and simplify processes

✨ Nice to Have

• Experience with AI/LLM tools or APIs

• Background in B2B SaaS or startup environments

• Experience with lead scoring or enrichment tools

Job Title: WordPress PHP (Frontend) Developer

Experience: 1–2 Years

Location: Bangalore (On site)

Job Description:

We are looking for a WordPress PHP (Frontend) Developer with 1–2 years of experience to join our team in Bangalore. The ideal candidate should have strong frontend development skills with hands-on experience in WordPress theme customization and PHP.

Key Responsibilities:

• Develop and customize WordPress themes and frontend components
• Implement responsive UI using HTML, CSS, JavaScript, and jQuery
• Work with PHP to integrate frontend functionality with WordPress
• Customize and manage WordPress plugins as per project requirements
• Ensure website performance, responsiveness, and cross-browser compatibility
• Collaborate with designers and backend developers for smooth implementation
• Fix frontend bugs and optimize UI/UX
• Follow best coding practices and maintain clean, reusable code

Required Skills:

• Strong experience with WordPress CMS
• Good knowledge of PHP
• Proficiency in HTML5, CSS3, JavaScript, jQuery
• Experience with responsive design and browser compatibility
• Basic understanding of MySQL
• Familiarity with page builders (Elementor, WPBakery, etc.) is a plus
• Basic knowledge of Git/version control is an advantage

Good to Have:

• Understanding of SEO-friendly frontend practices
• Experience with custom post types and ACF
• Exposure to performance optimization and security best practices

Location: Bangalore

Experience: 1–2 Years

You can directly contact or WhatsApp us on nine three one six one two zero one three two.

Full-Stack Machine Learning Engineer

Role: Full-Time, Long-Term Required: Python Preferred: C++

OVERVIEW

We are seeking a versatile ML engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build sophisticated production systems and grow with a small, focused team. You will work across the entire stack—from data ingestion and feature engineering through model training, validation, and deployment.

The ideal candidate combines strong software engineering fundamentals with deep ML expertise, particularly in time series forecasting and quantitative applications. You should be comfortable operating independently, making architectural decisions, and owning systems end-to-end.

CORE TECHNICAL REQUIREMENTS

Python (Required): Professional-level proficiency writing clean, production-grade code—not just notebooks. Deep understanding of NumPy, Pandas, and their performance characteristics. You know when to use vectorized operations, understand memory management for large datasets, and can profile and optimize bottlenecks. Experience with async programming and multiprocessing is valuable.

Machine Learning (Required): Hands-on experience building and deploying ML systems in production. This goes beyond training models—you understand the full lifecycle: data validation, feature engineering, model selection, hyperparameter optimization, validation strategies, monitoring, and maintenance.

Specific experience we value: gradient boosting frameworks (LightGBM, XGBoost, CatBoost), time series forecasting, probabilistic prediction and uncertainty quantification, feature selection and dimensionality reduction, cross-validation strategies for non-IID data, model calibration.

You should understand overfitting deeply—not just as a concept but as something you actively defend against through proper validation, regularization, and architectural choices.

Data Pipelines (Required): Design and implement robust pipelines handling real-world messiness: missing data, late arrivals, schema changes, upstream failures. You understand idempotency, exactly-once semantics, and backfill strategies. Experience with workflow orchestration (Airflow, Prefect, Dagster) expected. Comfortable with ETL/ELT patterns, incremental vs full recomputation, data quality monitoring, database design and query optimization (PostgreSQL preferred), time series data at scale.

C++ (Preferred): Experience valuable for performance-critical components. Writing efficient C++ and interfacing with Python (pybind11, Cython) is a significant advantage.

HIGHLY DESIRABLE: MULTI-AGENT ORCHESTRATION

We are building systems leveraging LLM-based automation. Experience with multi-agent frameworks highly desirable: LangChain, LangGraph, or similar agent frameworks; designing reliable AI pipelines with error handling and fallbacks; prompt engineering and output parsing; managing context and state across agent interactions. You do not need to be an expert, but genuine interest and hands-on experience will set you apart.

DOMAIN EXPERIENCE: FINANCIAL DATA AND CRYPTO

Preference for candidates with experience in quantitative finance, algorithmic trading, or fintech; cryptocurrency markets and their unique characteristics; financial time series data and forecasting systems; market microstructure, volatility, and regime dynamics. This helps you understand why reproducibility is non-negotiable, why validation must account for temporal structure, and why production reliability cannot be an afterthought.

ENGINEERING STANDARDS

Code Quality: Readable, maintainable code others can modify. Proper version control (meaningful commits, branches, code review). Testing where appropriate. Documentation: docstrings, READMEs, decision records.

Production Mindset: Think about failure modes before they happen. Build in observability: logging, metrics, alerting. Design for reproducibility—same inputs produce same outputs.

Systems Thinking: Consider component interactions, not just isolated behavior. Understand tradeoffs: speed vs accuracy, flexibility vs simplicity. Zoom between architecture and implementation.

WHAT WE ARE LOOKING FOR

Self-Direction: Given a problem and context, you break it down, identify the path forward, and execute. You ask questions when genuinely blocked, not when you could find the answer yourself.

Long-Term Orientation: You think in years, not months. You make decisions considering future maintainability.

Intellectual Honesty: You acknowledge uncertainty and distinguish between what you know versus guess. When something fails, you dig into why.

Communication: You explain complex concepts clearly and document your reasoning.

EDUCATION

University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Physics, Engineering. Equivalent demonstrated expertise through work also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of a production ML system you built, (3) Links to relevant work if available, (4) Availability and timezone.

ABOUT THE ROLE -

As a Counsellor you will be responsible for generating leads, explaining our education course higher career growth with potential Parents, Students, and others.

This role requires end-to-end ownership of the sales funnel.

We are looking for self-starter who is good at convincing others and enjoy doing sales.

JOB DESCRIPTION –

1.Need to make good no. calls per day.

2.own sales target by Fixing of at demos per day and close deals.

3.Attracting new clients by innovating and overseeing the sales process for the business.

4.Contacting prospective clients through a variety of mediums – including reaching out on Social media, calls, emails, etc.

5.Communication with and information existing clients in a way that supports an ongoing relationship.

SKILLS AND COMPETENCIES-

1. Good at convincing others and excellent leadership skills.
2. Excellent communication skills with fluency in English and Hindi.
3. Ability to develop a good relationships with current and potential clients
4. self-motivated and Win-Win attitude

Recko Inc. is looking for data engineers to join our kick-ass engineering team. We are looking for smart, dynamic individuals to connect all the pieces of the data ecosystem.

What are we looking for:

1. 3+  years of development experience in at least one of MySQL, Oracle, PostgreSQL or MSSQL and experience in working with Big Data technologies like Big Data frameworks/platforms/data stores like Hadoop, HDFS, Spark, Oozie, Hue, EMR, Scala, Hive, Glue, Kerberos etc.

2. Strong experience setting up data warehouses, data modeling, data wrangling and dataflow architecture on the cloud

3. 2+ experience with public cloud services such as AWS, Azure, or GCP and languages like Java/ Python etc

4. 2+ years of development experience in Amazon Redshift, Google Bigquery or Azure data warehouse platforms preferred

5. Knowledge of statistical analysis tools like R, SAS etc 

6. Familiarity with any data visualization software

7. A growth mindset and passionate about building things from the ground up and most importantly, you should be fun to work with

As a data engineer at Recko, you will:

1. Create and maintain optimal data pipeline architecture,

2. Assemble large, complex data sets that meet functional / non-functional business requirements.

3. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

4. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.

5. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

6. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

7. Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.

8. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

9. Work with data and analytics experts to strive for greater functionality in our data systems.

About Recko: 

Recko was founded in 2017 to organise the world’s transactional information and provide intelligent applications to finance and product teams to make sense of the vast amount of data available. With the proliferation of digital transactions over the past two decades, Enterprises, Banks and Financial institutions are finding it difficult to keep a track on the money flowing across their systems. With the Recko Platform, businesses can build, integrate and adapt innovative and complex financial use cases within the organization and  across external payment ecosystems with agility, confidence and at scale.  . Today, customer-obsessed brands such as Deliveroo, Meesho, Grofers, Dunzo, Acommerce, etc use Recko so their finance teams can optimize resources with automation and prioritize growth over repetitive and time-consuming tasks around day-to-day operations. 

Recko is a Series A funded startup, backed by marquee investors like Vertex Ventures, Prime Venture Partners and Locus Ventures. Traditionally enterprise software is always built around functionality. We believe software is an extension of one’s capability, and it should be delightful and fun to use.

Working at Recko: 

We believe that great companies are built by amazing people. At Recko, We are a group of young Engineers, Product Managers, Analysts and Business folks who are on a mission to bring consumer tech DNA to enterprise fintech applications. The current team at Recko is 60+ members strong with stellar experience across fintech, e-commerce, digital domains at companies like Flipkart, PhonePe, Ola Money, Belong, Razorpay, Grofers, Jio, Oracle etc. We are growing aggressively across verticals.