Technical Analyst

Greetings from LL Tech Solutions!

We are urgently looking for an experienced GA4 Lead Analyst for a domestic requirement. The ideal candidate should have strong hands-on experience in web analytics, GA4, Universal Analytics, SQL, BigQuery, dashboard development and experimentation.

Job Details

• Experience: 8+ years
• Location: Remote – India
• Shift Timing: 3:30 PM–12:30 AM
• CTC: Up to ₹28 LPA
• Notice Period: Immediate joiners only
• Employment Type: Full-time
• Requirement Type: Domestic/India

Key Responsibilities

• Lead web and digital analytics initiatives using GA4 and Universal Analytics.
• Analyse website and customer-journey data to identify trends and business opportunities.
• Extract, manipulate and analyse large datasets using SQL and BigQuery.
• Design and maintain dashboards using Looker Studio, Tableau, Power BI or similar tools.
• Define KPIs and build scalable reporting and measurement frameworks.
• Conduct A/B tests, validate hypotheses and analyse experiment results.
• Ensure accuracy and consistency across analytics reports and data sources.
• Translate complex data into actionable business recommendations.
• Collaborate with product, marketing, engineering and business teams.
• Present insights and strategic recommendations to senior stakeholders.
• Mentor team members and ensure the timely delivery of analytics projects.

Mandatory Skills

• Strong hands-on experience with GA4 and Universal Analytics.
• Advanced SQL and BigQuery experience.
• Dashboard development using Looker Studio, Tableau or Power BI.
• Strong understanding of web analytics, customer journeys, funnels and conversion tracking.
• Ability to identify trends and convert findings into strategic recommendations.
• Excellent communication and stakeholder-management skills.
• Prior experience leading analytics projects or teams.

Good-to-Have Skills

• Experience with Google Tag Manager and event-tracking frameworks.
• Understanding of hypothesis testing and regression fundamentals.
• Hands-on experience running A/B tests and analysing results.
• Exposure to e-commerce, product or digital marketing analytics.
• Knowledge of data validation, governance and analytics implementation.

Please include your current CTC, expected CTC, notice period and current location while applying.

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

Lead technology and strategy engagements across multiple functional workstreams.

Work on AAM/DMP, RT-CDP, offline data onboarding, analytics, and digital media campaigns.

Understand client advertising platforms, technology architecture, business models, and digital marketing strategies.

Gather and document business requirements, KPIs, functional requirements, and technical requirements.

Design customized solutions involving data, technology, partners, integrations, and analytics.

Develop customized technical tagging and implementation strategies.

Generate and modify technical code required for implementation and deployment.

Work closely with client developers and third-party partners during implementation and integration.

Troubleshoot technical issues and provide effective recommendations.

Prepare solution documentation, technical specifications, and implementation guidelines.

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.

What you'll need

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field.
• 5+ years of professional data engineering experience.
• Experience designing and building cloud-native data solutions.
• Strong expertise with Google Cloud Platform, including BigQuery. Experience developing transformation frameworks using dbt.
• Strong SQL and Python programming skills.
• Experience with PostgreSQL or other relational databases.
• Experience orchestrating workflows using Apache Airflow or Cloud Composer.
• Experience implementing Infrastructure as Code using Terraform. Experience building CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar platforms.
• Experience developing scalable batch and streaming data pipelines. Strong problem-solving skills with the ability to balance scalability, reliability, and cloud cost optimization.

Preferred Qualifications

• Experience with Pub/Sub, Datastream, Dataflow, Cloud Storage, Cloud Functions, or Cloud Run.
• Experience building multi-tenant SaaS platforms.
• Experience implementing metadata-driven governance, lineage, and data quality frameworks.
• Experience supporting AI, machine learning, or customer-facing analytics platforms.
• Experience with Kubernetes and Docker.

• Lead technology and strategy engagements across multiple functional workstreams.
• Work on AAM/DMP, RT-CDP, offline data onboarding, analytics, and digital media campaigns.
• Understand client advertising platforms, technology architecture, business models, and digital marketing strategies.
• Gather and document business requirements, KPIs, functional requirements, and technical requirements.
• Design customized solutions involving data, technology, partners, integrations, and analytics.
• Develop customized technical tagging and implementation strategies.
• Generate and modify technical code required for implementation and deployment.
• Work closely with client developers and third-party partners during implementation and integration.
• Troubleshoot technical issues and provide effective recommendations.
• Prepare solution documentation, technical specifications, and implementation guidelines.

Mandatory Skills

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.

Experience: 6+ years overall Data Engineering experience.

Must-have — candidates should have hands-on experience in ALL of these:

1. GCP (Google Cloud Platform) – strong hands-on experience
2. Python – data engineering/ETL development
3. SQL – advanced SQL, query optimization, data transformation
4. BigQuery – strong hands-on experience with development, optimization and data warehousing
5. Data Engineering / ETL – building and maintaining data pipelines
6. GCP data services – preferably Cloud Storage, Dataflow, Pub/Sub, Composer/Airflow, etc.
7. Data warehousing / dimensional modeling

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/

Job Responsibilities:

Plan, launch, and optimize Meta (Facebook & Instagram) and Google Ads campaigns.

Monitor campaign performance and improve ROAS, CPA, CTR, and conversions.

Manage campaign budgets and perform A/B testing for creatives and audiences.

Track performance using Google Analytics, Meta Ads Manager, and Google Ads.

Collaborate with the creative team to develop high-performing ad creatives and landing pages.

Prepare weekly and monthly performance reports with actionable insights.

Requirements:

1–3 years of experience in Meta and Google Ads.

Internship experience preferred

Strong understanding of performance marketing, conversion tracking, and analytics.

Experience with Google Analytics, Google Tag Manager, and Meta Pixel is preferred.

Analytical mindset with excellent problem-solving skills.

Key Skills: Meta Ads, Google Ads, Performance Marketing, ROAS Optimization, Google Analytics, A/B Testing, Campaign Management.