GA4 Lead Analyst – Remote

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

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/

Help new products find their first customers in the US, and teach our systems how you do it.

Daemon Ventures is a US technology company that builds and runs internet businesses with a very small team and heavy use of AI. We are looking for a growth lead who has personally taken products from zero to their first paying customers in the US market.

What you'll do

- Review how each new business goes to market: the plan, the actual ads, landing pages, emails and sign-up flow, and the numbers that come back. Say clearly what to change, and why.

- Diagnose. When a number is bad, work out whether the problem is the audience, the offer, the page or the channel, and what to try next.

- Turn what works into repeatable playbooks, so every future launch starts from what the last one learned.

- Bring in specialists (search, outbound, paid social, communities, marketplaces) when a problem needs deep craft, and judge their work.

Who you are

- Senior and hands-on. 6–10 years in growth or marketing, at least 3 of them personally acquiring US customers for a software product, an app or an online business. You ran the channels yourself, not only through agencies or a team.

- Taken a product from near zero to real US traction, with numbers you can show.

- A diagnostician. You can read a funnel and find the leak, and you think in experiments. You read results honestly, including when the answer is "this channel doesn't work for this product."

- A clear writer. You explain your reasoning so that others can act on it.

- Energized by working alongside AI. Most execution here is automated; your judgment is what makes it better.

Details

- Full-time and remote within India, engaged as an independent contractor.

- ₹45–55 LPA based on experience, plus equity.

- Process:

1. A short application with a 20-minute exercise.

2. A conversation.

3. A paid one-to-two-week project on a real business.

To apply: https://docs.google.com/forms/d/e/1FAIpQLSdB-KJIUnkbNbXWCdqJmTEFGbHglT5_2wqIcsVPN_QKaQTG1A/viewform

The application includes the exercise. Please don't send a CV alone.

We're hiring a Data Analyst to turn raw data into clear, actionable insight. You'll partner with product, sales, marketing, and operations teams to answer their most important questions with data — building dashboards, running deep-dive analyses, and defining the metrics the business runs on. The ideal candidate is fluent in SQL, comfortable wrangling messy datasets, and just as strong at telling the story behind the numbers as they are at producing them. You'll own the accuracy and trustworthiness of the reporting stakeholders rely on to make decisions.

Key Responsibilities

• Design, build, and maintain dashboards and recurring reports across business functions
• Write and optimize SQL queries to extract, join, and transform data from multiple sources
• Run ad-hoc and deep-dive analyses to answer specific business questions
• Define, document, and standardize metrics and KPIs alongside stakeholders
• Investigate data-quality issues and ensure the numbers people see are accurate
• Translate analysis into clear recommendations and present them to non-technical audiences
• Support experimentation and A/B test analysis where relevant
• Automate repetitive reporting to free up time for higher-value analysis

Requirements

• 3+ years in a data analyst or business-intelligence role
• Strong SQL and hands-on experience with Power BI and/or Tableau
• Working knowledge of Python (pandas/numpy) for analysis
• Solid grounding in statistics and analytical methods
• Advanced Excel and strong data-visualization / storytelling skills
• Ability to work independently with stakeholders across functions

Nice to have

• Experience with cloud data warehouses (BigQuery, Snowflake, Redshift)
• Exposure to dbt or other ETL/transformation tooling

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.

Mandatory Skills: Google Ads, Meta Ads and LinkedIn Ads

Key Qualification Criteria

Qualifications

• Minimum 2–3 years of experience in paid ad marketing across digital channels: Meta, LinkedIn, and Google Ads.
• At least 2 years of hands-on experience managing and optimizing Google Ads.
• Strong domain expertise in paid media, including strategy, execution, and analytics.
• Skilled in leveraging AI tools (e.g., Claude and ChatGPT) to enhance campaign efficiency and decision-making.
• Strong analytical skills with advanced proficiency in Excel or Google Sheets for data analysis and performance tracking.
• Excellent written and verbal communication skills in English.
• Bachelor’s degree in any field; a Master’s degree is a plus.

Hands-on Experience With

• Google Ads, Meta Ads, LinkedIn Ads, Bing/Microsoft Ads.
• Google Tag Manager (GTM), GA4, Looker Studio.
• Strong understanding of performance marketing principles, bidding strategies, and attribution models.
• Familiarity with SEO, email marketing, and other digital marketing channels.
• Certifications in tools such as Google Ads, GA4, or Meta Ads are preferred.
• Proven track record in driving successful Performance Campaigns utilizing AI tools like ChatGPT.
• Effective communication and reporting skills.
• Good experience in managing medium to large-sized budgets.
• Should have a data-driven approach to work.

Scope of Work

Strategy & Execution

• Lead paid media initiatives to drive conversions and revenue using omnichannel strategies, capitalizing on AI for optimization.
• Optimize campaigns on platforms like Google Ads, Bing Ads, and LinkedIn Ads.
• Take ownership of campaigns end-to-end to ensure KPIs and goals are met.
• Continuously refine team processes and automate repetitive tasks to drive efficiency and scalability.
• Research & Analysis
• Stay ahead of platform updates and trends; integrate innovations into strategy.
• Drive keyword strategy and restructure accounts to unlock scalable growth.
• Lead cross-channel campaign optimization using platforms like Google Ads, Bing Ads, and GA4 to improve ROI.
• Analyze and interpret conversion and attribution data to derive actionable strategic insights.
• Ability to create strategies and budget forecasts.
• Communication
• Collaborate with Client Success Managers to design growth-focused strategies that leverage AI capabilities.
• Partner with internal teams to address performance challenges.
• Timely deliver projects on time, meeting weekly and monthly deadlines.

Reporting

• Create performance reports using Google Slides/other dashboards, and review them with clients.
• Present key strategies and insights to Client Success Managers and clients.
• Consider key performance metrics such as CPC, CTR, CPA, and ROAS for creating and conveying detailed inferences in monthly, quarterly, and yearly reports.

Preferred Attributes

• Certifications in digital marketing tools like GA4, Google Ads, Meta Ads, etc.
• Must be residing in/willing to relocate to Pune.
• Experience with delivery management or people management.
• Understanding of SEO, email marketing, and other digital marketing channels.
• Experience with GA4, Google Tag Manager (GTM), Google Ads, Looker Studio, and Bing Ads.
• Familiarity with automated or AI-driven optimization tools for search ads and other channels.
• Experience in dealing directly with B2B clients.

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

This role will be permanent with NAM info and deploy to client location Hyderabad & Pune.

Work Mode: WORK FROM OFFICE

Role Descriptions:

• Perform detailed data analysis and support business decision-making
• Gather and document business requirements and translate them into technical specifications
• Work closely with stakeholders to define data needs and reporting requirements
• Create user stories, functional specifications, and support UAT activities
• Ensure alignment between business objectives and data solutions

Required Skills:

• Strong expertise in SQL and data querying
• Proven experience in data analysis, requirement gathering, and stakeholder management
• Ability to translate business requirements into technical solutions and user stories
• Good understanding of data models, reporting, and analytics concepts

Skills: Business Analysis~ORACLE SQL

Locations: ~HYDERABAD~PUNE~

Desire candidate

• Candidate should have valid PF.

GCP Data Engineering Lead

Experience: 9+ Years

Lead Experience: 2+ Years

Location: Bangalore / Hyderabad

Key Skills:

• Strong experience in GCP Data Engineering and BigQuery
• Hands-on experience with Oracle Exadata / PL-SQL
• Strong knowledge of PySpark / Scala and Python
• Experience with GoldenGate, Kafka and CDC
• Hands-on experience with Apache Airflow
• Good experience in CI/CD and DevOps practices
• Experience with Terraform / Infrastructure as Code
• Exposure to AI/LLM technologies and GenAI solutions
• Strong understanding of data architecture, ETL/ELT and data pipelines

Roles & Responsibilities:

• Lead the design and development of scalable GCP data engineering solutions.
• Design and implement batch and real-time data pipelines using BigQuery, PySpark, Kafka/CDC and Airflow.
• Work with Oracle Exadata/PL-SQL and GoldenGate for data integration and migration.
• Implement CI/CD pipelines and infrastructure automation using Terraform.
• Explore and integrate AI/LLM capabilities into data engineering solutions.
• Lead technical discussions, code reviews, solution design and mentor team members.
• Collaborate with business and technical teams to deliver high-quality data solutions.

We are looking for a People Analytics Manager to turn people data into decisions.

Responsibilities

• Build HR and recruitment dashboards
• Analyse hiring, attrition and engagement trends
• Improve HR data quality
• Present insights to HR leadership

Requirements

• 3+ years in people or HR analytics
• Skilled in Power BI or Tableau, and SQL or Excel
• Strong storytelling with data