Training and Development Lead

Sr. Paid Marketing Analyst

Full-time | On-site | 3+ years​ | Pune, Maharashtra​

Or apply via: https://www.gomogroup.com/en/career/

WHY CHOOSE GO MO?

We are an award-winning international digital pull-marketing firm and one of Europe’s fastest growing digital marketing agencies. You will receive:

• Extensive Growth Opportunities
• International Exposure
• Training Programs
• Mentorship

OUR OFFERINGS

• Pull Marketing (SEO)
• Google Ads
• Web Development
• UI / UX Design
• Demand Generation

Our client portfolio includes 100+ leading European companies

OUR OFFICES: WeWork Raheja Woods, Kalyani Nagar

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SCOPE OF WORK:

Research and 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 deriveactionable strategic insights
• Ability to create strategies and budget forecasts

Communication:

• Coordinate with team Sweden on project performance, timelines and results to design growth-driven strategies
• Partner with internal teams to address performance challenges
• Deliver projects on time, meeting weekly and monthly deadlines

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

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, & ROAS for creating and conveying detailed inferences in monthly, quarterly & yearly reports

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MANDATORY REQUIREMENTS

• Minimum 2 experience hands on experience with Google Ads
• Strong domain expertise in paid media, including strategy, execution, and analytics
• Skilled in leveraging AI tools (e.g., ChatGPT, Gemini, Claude) 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

• Google Ads, LinkedIn Ads, Bing/Microsoft Ads
• Google Tag Manager (GTM), GA4, Looker Studio
• Strong understanding of performance marketing principles, bidding
• strategies, and attribution models
• Proven track record in driving successful PPC and paid search campaigns
• Experience in dealing directly with clients
• Effective communication and reporting skills
• Good experience in managing medium to large-sized budgets
• Strong analytical skills and should be good with numbers
• Should have a data driven approach to work

PREFERRED ATTRIBUTES

• Experience in LinkedIn Ads
• Proven track record in driving successful Performance Campaigns utilizing AI tools like ChatGPT
• Certifications in digital marketing tools like GA4, Google Ads, Meta Ads, etc
• Residing in/ willing to relocate to Pune
• Experience with delivery management or people management

Job Types: Full-time, Permanent

Benefits:

• Health insurance
• Leave encashment
• Provident Fund

Experience:

• Google Ads: 2 years (Required)

Location:

• Kalyani Nagar, Pune, Maharashtra (Preferred)

Work Location: In person

Exp: 4 to 8 Years

CTC: up to 40 LPA

Mandatory Criteria

• 5–7 years of hands-on experience in building and deploying AI solutions, ideally in fintech or financial services.
• Strong coding skills in Python and familiarity with libraries like TensorFlow, PyTorch, scikit-learn, XGBoost, etc.
• Experience with NLP, time series forecasting, anomaly detection, or graph ML relevant to fintech applications.
• Solid understanding of MLOps concepts – model versioning, deployment, monitoring.
• Experience working with cloud platforms (AWS/GCP/Azure) and ML services (e.g., SageMaker, Vertex AI).
• Familiarity with Docker, Kubernetes, or other containerization tools for model deployment is a plus.
• Comfortable working with large-scale structured and unstructured datasets. Experience with LLMs or generative AI for fintech-specific use cases.
• Exposure to RegTech, risk modeling, or algorithmic trading.
• Publications, GitHub contributions, or Kaggle competitions.
• Familiarity with SQL/NoSQL databases and data pipelines (e.g., Airflow, Spark, etc.).

If interested kindly share your updated resume on 82008 31681

About Us:

We’re a team of finance and technology enthusiasts who enjoy revolutionizing the investment industry through digital products & services. We’re building the next generation investment management platform for our financial professional customers so they can build better investment portfolios & help their clients retire in style.

If you're looking for challenging work, smart colleagues, and a global employer with a social conscience, come explore your potential at Invesco. Make a difference every day!

Responsibilities:

• Design, develop, test, deploy and maintain highly performant api-driven web applications on our stack (Angular, React, SASS, Java SpringBoot, Mulesoft).
• Design and implement REST APIs to industry/company standards
• Work with our amazing product design team to develop and iterate on user interfaces that bring simplicity to complicated financial data.
• Interact with engineering members across the organization to ensure consistency in engineering practices and foster active exchange of ideas
• We have development centers in Atlanta, Houston, New York City and India and the ability to collaborate across a global organization is a key skill.
• Perform peer code reviews. Review performance, security and flexibility of the code.
• Participating in agile ceremonies (e.g. daily standup, release and sprint planning, demos, scrum of scrums).
• Work with Architect to define technical roadmaps
• Participate and help to evangelist and promote enterprise solutions with business and technology partners

The Experience You Bring:

• 2+ years experienced in front-end frameworks, such as Angular and React
• 3+ years experience in back-end technologies, such as Node.JS, ExpressJS, or Java Springboot
• 1+ years experience with Mulesoft or API development
• Experience with core AWS services
• Experience working in an Agile team and environment
• Familiarity with software engineering support systems and tools, such as Git, Jenkins, Bamboo, Gulp, Bower, Maven, Log4j
• Familiar with SSO solutions, such as SAML, OAuth, OpenID a plus
• Knowledge of the Financial Services industry a plus
• Good to have:
• Experience with DevOps tools like Docker, Kubernetes, Jenkins, etc.
• Experience in developing microservices-based architectures
• Knowledge of frontend technologies like HTML, CSS, and JavaScript
• Experience with Python technologies

If you are a technology enthusiast, we have the perfect job for you! We are looking for Node.Js Developers to join our agile team of professionals.

Responsibilities:

• Developing and maintaining all server-side network components.
• Ensuring optimal performance of the central database and responsiveness to front-end requests.
• Collaborating with front-end developers on the integration of elements.
• Designing customer-facing UI and back-end services for various business processes.
• Developing high-performance applications by writing testable, reusable, and efficient code.
• Implementing effective security protocols, data protection measures, and storage solutions.
• Running diagnostic tests, repairing defects, and providing technical support.
• Documenting Node.js processes, including database schemas, as well as preparing reports.
• Recommending and implementing improvements to processes and technologies.
• Keeping informed of advancements in the field of Node.js development.

Requirements:

• Bachelor's degree in computer science, information science, or similar.
• At least two years' experience as a Node.js developer.
• Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.
• Knowledge of front-end technologies such as HTML5 and CSS3.
• Superb interpersonal, communication, and collaboration skills.
• Exceptional analytical and problem-solving aptitude.
• Great organizational and time management skills.
• Availability to resolve urgent web application issues outside of business hours.

1. Create and maintain optimal data pipeline architecture
2. Assemble large, complex data sets that meet business requirements
3. Identifying, designing, and implementing internal process improvements including redesigning infrastructure for greater scalability, optimizing data delivery, and automating manual processes
4. Work with Data, Analytics & Tech team to extract, arrange and analyze data
5. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies
6. Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
7. Works closely with all business units and engineering teams to develop a strategy for long-term data platform architecture.
8. Working with stakeholders including data, design, product, and executive teams, and assisting them with data-related technical issues
9. Working with stakeholders including the Executive, Product, Data, and Design teams to support their data infrastructure needs while assisting with data-related technical issues.

1. SQL
2. Ruby or Python(Ruby preferred)
3. Apache-Hadoop based analytics
4. Data warehousing
5. Data architecture
6. Schema design
7. ML

1.  Prior experience of 2 to 5 years as a Data Engineer.
2. Ability in managing and communicating data warehouse plans to internal teams.
3. Experience designing, building, and maintaining data processing systems.
4. Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions.
5. Excellent analytic skills associated with working on unstructured datasets.
6. Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata.