
Our client offers a wide range of business advisory services such as strategic advisory, financial advisory, transaction support, process consulting, people & organisation consulting etc. to its clients.
They serve across sectors like financial services, education, healthcare, real estate etc. and their clients include diversified conglomerates, leading commercial banks, insurance companies, family businesses, investment houses etc.
Originated in Kuwait and with over 18 years of experience, our client has their offices in Dubai, India and Australia. They have an in-depth understanding of the business environment of the GCC and wider MENA region. Established in 2003 and with a strong multi-disciplinary team, they have served 100+ clients across 800+ assignments.
As a Business Analyst, you will be responsible for supporting the Project Manager in project execution and delivery.
What you will do:
- Analyzing and summarizing financial performance
- Building financial and valuation models
- Identifying KPIs and benchmarking with regional and global peers
- Reviewing of budgets and analysis of variances
- Developing Power point and Word documents
- Supporting in developing business development pitches
Desired Candidate Profile
What you need to have:- MBA from a premier institute/ CFA (USA)/ CA (ICAI)
- 2-4 years of post-qualification experience
- Clear financial and quantitative concepts
- Strong logical and analytical abilities
- Good communication, presentation and inter-personal skills
- Very strong Microsoft Excel financial modelling skills
- Openness to travel overseas for extended periods (3-4 weeks) for client meetings and on-site execution

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What We’re Looking For :-
- 4–6 years of experience in performance marketing, ideally in a high-growth D2C, e-commerce, or startup environment.
- Proven expertise in managing large-scale paid media campaigns across Meta and Google Ads (experience with additional platforms is a plus).
- Strong analytical mindset with deep knowledge of attribution models, customer acquisition, and conversion funnels.
- A creative and collaborative approach to working with design and content teams.
Key Responsibilities:-
- Lead the planning, execution, and optimization of paid campaigns across Meta, Google, and other relevant channels.
- Manage marketing budgets effectively while monitoring key KPIs (CAC, ROAS, CTR, CR) and reporting performance metrics regularly.
- Continuously test and refine ad creatives, audiences, ad placements, and bidding strategies to maximize impact.
- Analyze campaign performance using tools such as GA4, Meta Ads Manager, and attribution platforms.
- Partner with creative and content teams to develop high-performing ad assets.
- Collaborate cross-functionally with retention, product, and design teams to optimize the full-funnel experience, including landing pages.
1.Experience in proper MERN Stack
2.In depth knowledge of Node JS, Angular JS, MongoDB
3.Experience in implementing applications using AngularJS.
4.Experience in creating front end applications using HTML 5, Angular JS, LESS/SASS
5.Javascript experience both on client as well as on server side
6.Experience with MVC and MVVM design patterns
7.Good experience with multiple third party API's integration
8.Experience in MongoDB scaling and optimization
9.Experience with cloud technologies AWS Lambda & EC2 setup
10.Experience in creating RESTful based web services in JSON & XML
11.PLUS to have additional experience in Angular 2+/
12.Added experience in MySQL optimisation would be a great plus
13.Good communication, analytical and logical skills to understand and work with any kind of project requirements independently
● Requirements-
● Experience: 1+
Having knowledge of React JS. Having knowledge of Node JS Having Knowledge of HTML,
CSS, and JavaScript. Knowledge of web services integration and writing. Need to have strong
R&D power Knowledge of GitHub and Jira. A bit of knowledge of code building and docker
activity.
Profile- NodeJs Developers
Overall Experience- 1 Years minimum
Pure Node.js Experience- At 1 Years
● Required Skills:- A person who is superb in node.js first and foremost. Needs to understand
the intricacies of promises and the asynchronous programming paradigm.
● A close second is experience in Graphql. Understanding Queries, Mutations and Apollo.
● Tertiary is DynamoDb and Mysql Being able to pick up a non-standard ORM and being able to
program against it.
● Developers must have experience with AWS, and preferably AppSync, Serverless Framework,
Lambdas, Codebuild and Codepipeline
● Experience building Automated Testing Frameworks using selenium, phantomjs, etc. is
preferred
DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.
Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!
What do we offer?
- Some of the most challenging research problems in NLP and Computer Vision. Huge text and image datasets that you can play with!
- Ability to see the impact of your work and the value you're adding to our customers almost immediately.
- Opportunity to work on different problems and explore a wide variety of tools to figure out what really excites you.
- A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours.
- Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
- Last but not the least, competitive salary packages and fast paced growth opportunities.
Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem. You are also expected to develop capabilities that open up new business productization opportunities.
We are looking for someone with 6+ years of relevant experience working on problems in NLP or Computer Vision with a Master's degree (PhD preferred).
Key problem areas
- Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
- Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
- Document clustering, attribute tagging, data normalization, classification, summarization, sentiment analysis.
- Image based clustering and classification, segmentation, object detection, extracting text from images, generative models, recommender systems.
- Ensemble approaches for all the above problems using multiple text and image based techniques.
Relevant set of skills
- Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus, optimization, algorithms and complexity.
- Background in one or more of information retrieval, data mining, statistical techniques, natural language processing, and computer vision.
- Excellent coding skills on multiple programming languages with experience building production grade systems. Prior experience with Python is a bonus.
- Experience building and shipping machine learning models that solve real world engineering problems. Prior experience with deep learning is a bonus.
- Experience building robust clustering and classification models on unstructured data (text, images, etc). Experience working with Retail domain data is a bonus.
- Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
- Experience working with a variety of tools and libraries for machine learning and visualization, including numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
- Use the command line like a pro. Be proficient in Git and other essential software development tools.
- Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
- Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
- It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.
Role and responsibilities
- Understand the business problems we are solving. Build data science capability that align with our product strategy.
- Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
- Build robust clustering and classification models in an iterative manner that can be used in production.
- Constantly think scale, think automation. Measure everything. Optimize proactively.
- Take end to end ownership of the projects you are working on. Work with minimal supervision.
- Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
- Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
- Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
- Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.







