Senior CX Analyst

We’re looking for a dynamic and driven Data Analyst to join our team of technology enthusiasts. This role is crucial in transforming data into insights that support strategic decision-making and innovation within the insurance technology (InsurTech) space. If you’re passionate about working with data, understanding systems, and delivering value through analytics, we’d love to hear from you.

What We’re Looking For

• Proven experience working as a Data Analyst or in a similar analytical role
• 5+ Years of experience in the field
• Strong command of SQL for querying and manipulating relational databases
• Experience with Power BI for building impactful dashboards and reports
• Familiarity with QlikView and Qlik Sense is a plus
• Ability to communicate findings clearly to technical and non-technical stakeholders
• Knowledge of Python or R for data manipulation is nice to have
• Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field
• Understanding of the insurance industry or InsurTech is a strong advantage

What You’ll Be Doing:

• Delivering timely and insightful reports to support strategic decision-making
• Working extensively with Policy Administration System (PAS) data to uncover patterns and trends
• Ensuring data accuracy and consistency across reports and systems
• Collaborating with clients, underwriters, and brokers to translate business needs into data solutions
• Organizing and structuring datasets, contributing to data engineering workflows and pipelines
• Producing analytics to support business development and market strategy

Who We Are

YourDOST is one of India’s leading emotional wellness organisations. We help corporates, colleges, and government institutions build healthier and more resilient communities through counselling, assessments, self-help tools, training, and organisational insights.

Since 2014, we have partnered with 500+ organisations, including CK Birla Group, UpGrad, IIT Madras, IIT Delhi, and IIM Bangalore, and supported over 20 lakh Indians.

Learn more at www.yourdost.com.

About the Role

We are looking for a Product Analyst / Business Analyst who can use data and structured thinking to support product decisions and execution.

You will work closely with Product, Technology, Design, and business teams to analyse product performance, translate requirements into user stories, support releases, and identify opportunities for improvement.

What You Will Do

• Analyse user behaviour, funnels, engagement, retention, and other product metrics.
• Build dashboards and convert data into clear, actionable insights.
• Translate business requirements into user stories, workflows, and acceptance criteria.
• Work with Product, Technology, and Design teams during planning and development.
• Conduct UAT, identify edge cases, and validate releases.
• Measure the impact of product changes and recommend improvements.
• Conduct competitor, market, and customer research.
• Use AI and no-code tools to improve research, analysis, and workflows.

Who Can Apply

• 1–3 years of experience in Product Analysis, Business Analysis, Product Operations, or Data Analysis.
• Strong analytical and problem-solving skills.
• Advanced knowledge of Excel or Google Sheets.
• Working knowledge of SQL and BI tools such as Power BI, Tableau, Looker Studio, or Metabase.
• Familiarity with product analytics tools such as Mixpanel, GA4, or Amplitude.
• Experience creating user stories, acceptance criteria, and conducting UAT.
• Ability to work effectively with Product and Technology teams.
• Strong attention to detail and communication skills.
• Startup experience and an interest in mental health or consumer technology are a plus.

Why Join Us

• Work at the intersection of product, data, and business.
• Directly influence product decisions through analysis and insights.
• Get end-to-end exposure to building, launching, and improving products.
• Work on products that meaningfully impact people’s well-being.

Job Details

Location: HSR Layout, Bengaluru

Employment Type: Full-time

Work Mode: Onsite

Working Days: Five days a week

We are looking for a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will be responsible for collecting, analyzing, and interpreting data to identify trends, generate insights, and support business decision-making.

The candidate should be comfortable working with large datasets, creating reports and dashboards, and communicating findings clearly to business stakeholders.

Key Responsibilities

• Collect, clean, organize, and analyze data from multiple sources.
• Identify trends, patterns, anomalies, and business opportunities from data.
• Create dashboards, reports, and visualizations for business teams.
• Track and report key performance indicators (KPIs).
• Perform ad-hoc analysis to support business and management decisions.
• Develop and maintain automated reports where possible.
• Work with stakeholders to understand reporting and analytical requirements.
• Ensure data accuracy, consistency, and quality.
• Present analytical findings in a clear and actionable manner.
• Maintain documentation for reports, dashboards, and data processes.

At Nineleaps, we work on bleeding-edge technology with class-leading engineering practices on products that touch the lives of millions of users. We endeavor on doing things the right way, while also promoting a culture of excellence.

About the Role:

We are looking for a Data Analyst with strong analytical and problem-solving skills to transform complex data into meaningful, actionable business insights. The role involves working with large datasets, conducting deep-dive analysis, driving automation, and supporting data-driven product and business decisions.

Key Responsibilities:

• Analyse historical and large datasets to understand data sources, identify trends and patterns, and uncover meaningful insights.
• Write complex SQL queries and leverage Python to perform data analysis, ad hoc investigations, and solve business problems.
• Create reports and translate analytical findings into clear, concise, and actionable recommendations for stakeholders.
• Identify opportunities to drive automation and process improvements, improving efficiency and reducing manual effort.
• Communicate data-driven insights effectively to both technical and non-technical stakeholders in a clear and impactful manner.
• Maintain accurate documentation, ensure high-quality deliverables, and consistently meet defined timelines.

Requirements:

• 3–6 years of experience in Data Analytics, Business Intelligence, Data Engineering, or a similar analytical role.
• Strong hands-on expertise in Python and advanced SQL, with the ability to work with and analyse large datasets.
• Experience working with Google Sheets, and implementing automation through data pipelines or workflows.
• Strong analytical and problem-solving skills, with the ability to interpret complex data and derive actionable insights.
• Excellent communication skills with the ability to effectively present methods, results, and recommendations to stakeholders.
• Ability to collaborate effectively with remote and geographically distributed teams across different time zones.

Company Link: https://www.nineleaps.com/

Company LinkedIn: https://www.linkedin.com/company/nineleaps/

A Market Research Manager in the education sector leads data collection and analysis regarding student demographics, program demand, and competitor positioning. They guide academic program development, enrollment growth, and institutional marketing strategies by turning complex educational data into clear action plans.

Key Responsibilities

• Student & Market Analysis: Study enrollment trends, student behaviour, and shifting demands for online, hybrid, or traditional degree programs.
• Competitor Intelligence: Track competitor institutions, tuition pricing models, course offerings, and scholarship incentives.
• Research Design: Build and run qualitative and quantitative studies, including student surveys, focus groups, and alumni feedback loops.
• Data Reporting: Create visual dashboards, reports, and presentations for academic boards, marketing teams, and university leadership.
• Strategic Advising: Guide program development teams on launch viability and optimal target demographics for new courses or certifications.

Required Qualifications

• Education: Bachelor’s degree in Marketing, Statistics, Economics, Business Analytics, or a related field; master’s or MBA preferred.
• Experience: 4 to 6+ years in market research, with prior exposure to the education, EdTech, or non-profit sector.
• Technical Skills: Proficiency in survey tools (Qualtrics, SurveyMonkey) and data analysis software (SPSS, R, Python, or Excel).
• Soft Skills: Strong verbal communication, stakeholder management, and the ability to explain statistics to non-technical academic leaders.

Job Title: Customer Support Quality analyst

Location: Bangalore, Koramangala (walkin interview)

Job Type: Full-time

Reports To: Quality Lead

Experience: Minimum 2 to 3 years as a Quality

Analyst in a customer service environment

QA engineers don't apply!!

As a Quality Analyst, you will audit customer interactions across voice, chat and ticketing, email channels,

identify what is going wrong and why, and convert those findings into feedback and coaching that

measurably improves agent performance. The role carries end-to-end ownership of the quality cycle —

auditing against defined parameters, marking critical errors accurately, delivering structured feedback,

participating in calibration, identifying training needs and publishing quality reporting. You will work closely

with the Training team and with Operations, so findings translate into action on the floor rather than sitting

in a report.

Bachelor's degree or equivalent.

• Minimum 2 to 3 years of experience as a Quality Analyst in a customer service, customer support or

contact centre environment.

• Hands-on experience auditing interactions across at least one of voice, chat or ticketing, with exposure

to more than one channel preferred.

• Working knowledge of quality management or audit tools, and the ability to pick up a new platform

quickly.

• Sound understanding of quality parameters, critical error frameworks and audit governance.

• Practical experience of feedback mechanisms and coaching models, with a track record of feedback

that changed agent behaviour.Experience of participating in calibration and maintaining scoring consistency.

• Strong analytical skills and working Excel — pivot tables, lookups and comfort handling large audit data

sets.

• Excellent written and verbal communication, with the ability to write observations a third party can act

on without further explanation.

• Objectivity and the confidence to hold a position in a performance conversation, balanced with

empathy towards agents.

• Ability to manage multiple priorities and meet audit and reporting deadlines consistently.

Strong Data Analyst Profile with Python, SQL, and data-pipeline expertise, ideally with retail / e-commerce datasets

2

Mandatory (Experience 1): Must have 4+ years of hands-on data-analyst experience, working with large datasets across areas such as sales, inventory, pricing, promotions, and customer behaviour.

3

Mandatory (Tech skill 1): Must have strong hands-on Python for data processing, transformation, automation, and analysis

4

Mandatory (Tech skill 2): Must have strong SQL skills, including complex queries, joins, aggregations, and data validation.

5

Mandatory (Tech skill 3): Must have a solid understanding of Data Lake architecture, ingestion, storage, and processing workflows

6

Mandatory (Tech skill 4): Must have hands-on experience with ETL / ELT pipelines, data integration, and transformation

7

Mandatory (Tech skill 5): Must have experience with Azure or GCP data services.

8

Mandatory (Tech skill 6): Must have understanding of or experience with Databricks and distributed data processing.

9

Mandatory (Tech skill 7): Must have knowledge of data modeling, data warehousing, and Lakehouse architecture

10

Mandatory (Tech skill 8): Must have experience with Power BI, Tableau, or Excel for reporting.

11

Mandatory (Communication): Must have strong analytical, documentation, and stakeholder-communication skills.

12

Mandatory (Education): Must hold a Bachelor’s degree in Computer Science, IT, Engineering, or a related field.

13

Mandatory (Note1): This is a 6-month contract role. Candidate must be comfortable with the contract engagement and able to join immediately (urgent — onboarding within ~a week)

Job Title: Corporate Quality MIS Analyst – Automotive / Wiring Harness

Company: Vi-Son Cables Pvt. Ltd.

Location: Mumbai – Corporate Office

Experience: 3–7 Years

Industry: Automotive / Auto Components / Wiring Harness

Job Summary

We are looking for a Quality MIS Analyst with experience in the Automotive, Wiring Harness or Auto Components industry to manage Corporate Quality MIS and reporting. The role will be responsible for consolidating quality data from all plants, analysing KPIs and preparing reports and dashboards for Management.

Key Responsibilities

• Consolidate plant-wise Quality MIS, KPIs and performance reports.
• Analyze PPM, rejection, rework, FPY, customer complaints, CAPA and 8D.
• Prepare MIS reports, dashboards, trend analysis and Management presentations.
• Coordinate with Plant Quality Teams for timely and accurate data.
• Identify quality trends, deviations and improvement areas.
• Maintain standardized Corporate Quality MIS and databases.

Key Requirements

• 3–7 years of experience in Automotive / Wiring Harness / Auto Components Quality.
• Strong knowledge of Quality MIS, Quality KPI reporting and data analysis.
• Proficiency in MS Excel, Pivot Tables, VLOOKUP/XLOOKUP, dashboards and PowerPoint.
• Knowledge of 7 QC Tools, 8D, CAPA and Root Cause Analysis.
• Strong analytical, coordination and communication skills.

Job Title: Corporate Quality MIS Analyst – Automotive / Wiring Harness

Location: Goregaon East

Experience: 3–7 Years

Industry: Automotive / Auto Components / Wiring Harness

Role Type: Corporate HO-Based

Job Summary

We are looking for a Corporate Quality MIS Analyst with 3–7 years of experience in the Automotive, Wiring Harness, or Auto Components industry. The candidate will be responsible for consolidating quality data from multiple plants, analysing Quality KPIs, preparing MIS reports and dashboards, and providing management-level insights for quality improvement.

Key Responsibilities

Consolidate plant-wise Quality MIS, KPIs, and performance reports.

Analyse PPM, rejection, rework, FPY, customer complaints, CAPA, and 8D data.

Prepare quality MIS reports, dashboards, trend analysis, and management presentations.

Coordinate with Plant Quality Teams to ensure timely and accurate data submission.

Identify quality trends, deviations, recurring issues, and improvement opportunities.

Maintain standardized Corporate Quality MIS formats, databases, and reporting systems.

Support management reviews with accurate quality data and analytical insights.

Track plant-wise quality performance and highlight gaps against defined targets.

Key Requirements

3–7 years of experience in Quality MIS / Quality Reporting within Automotive, Wiring Harness, or Auto Components.

Strong understanding of Quality KPIs, MIS reporting, and data analysis.

Advanced proficiency in MS Excel, including Pivot Tables, VLOOKUP/XLOOKUP, and dashboards.

Good knowledge of PowerPoint and management presentation preparation.

Knowledge of 7 QC Tools, 8D, CAPA, Root Cause Analysis, PPM, Rejection, Rework, and FPY.

Strong analytical, coordination, communication, and reporting skills.

Experience coordinating with multiple plant/quality teams will be preferred.

Senior SEO Analyst | Pune, India | 2+ years | Full-time

About GO MO Group

GO MO Group is a tech-enabled digital marketing powerhouse, driving exponential growth

for global B2B brands through data, AI, and bold innovation. Headquartered in Europe, we

are on a purpose-driven mission to reshape how industries lead and create lasting impact.

We’re not here to chase noise—we’re here to build legacy.

We’re investing in people, partnerships, and platforms that can move markets and

mindsets. Are you ready to be part of this transformation?

Role Summary

We are looking for a skilled and analytical Sr. SEO Analyst to join our Digital Marketing

team. You will be responsible for SEO research, strategy, and execution for B2B clients. The

role requires strong analytical thinking, structured execution, and the ability to

communicate insights clearly. A basic working knowledge of GenAI tools to improve

documentation, research, and productivity will be an added advantage.

What You’ll Do

Research & Analysis

● Conduct keyword research aligned to business goals

● Perform technical and SEO audits

● Provide clear, actionable recommendations for client websites

● Use analytics tools to interpret performance and diagnose issues

● Use GenAI tools where applicable to speed up research or documentation

Strategy and Execution

● Build and execute digital marketing strategies that deliver measurable results

● Identify new opportunities for growth and account expansion

Communication and Collaboration

● Coordinate with Client Success Management team on performance, timelines, and strategy

● Discuss tasks and planning with India Project Managers

● Present performance reports and insights to clients

Reporting

● Prepare structured, high-quality performance reports

● Lead client review meetings and present insights clearly

Qualification Criteria

● Minimum 2 years of hands-on SEO experience (mandatory)

● Experience with tools like GA4, Adobe Analytics, Search Console, Ahrefs, SEMrush, GSC

● Experience in setting up tracking with tools like Google Tag Manager

● Ability to use GenAI tools (ChatGPT, Claude or similar) for improving efficiency in research, summaries, or documentation

● Proven experience building and executing Digital Marketing strategies

● GEO and AI search Experience/Knowledge

● Strong analytical mindset

● Strong English communication (verbal + written)

● Bachelor’s degree in any field

Preferred Attributes

● Experience working with international clients

● Skilled in preparing client-facing presentations and presenting to clients