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In today’s marketing-dependent consumer world, businesses demand innovative brand solutions and our client is engaged in providing brand solutions across businesses. They import renowned global brands & distribute the same. They have a dedicated eCommerce practice to build digital retail footprints for their brands in India. They focus on major categories under FMCG such as F&B, Personal care, etc. and also Home & Fabric Care.

Founded in 2003, our client has over 250 Pan-India Distributors and more than 300 SKUs. They deal with 25+ brands and some of the brands are Mogu Mogu, SAN REMO, Simpkins, Moccona, OMINO BIANCO, etc.

As a Assistant Manager - Business Intelligence, you will be responsible for support building and executing portfolio and respective brand execution strategy by mining, understanding, internalising, and creating action stands about inflow and outflow of information from different internal and external sources.

• Assimilating sales & inventory data streams from different ecommerce partners daily
• Planning different inventory streams for all portfolio brands vis--vis PO requirements
• Building future projection models for brands to support healthy and sufficient inventory capacities

Desired Candidate Profile

• Self direction
• Ability to think beyond operational hurdles

Job Description – Senior Technical Business Analyst

Location: Trivandrum (Preferred) | Open to any location in India

Shift Timings - 8 hours window between the 7:30 PM IST - 4:30 AM IST

About the Role

We are seeking highly motivated and analytically strong Senior Technical Business Analysts who can work seamlessly with business and technology stakeholders to convert a one-line problem statement into a well-defined project or opportunity. This role is ideal for fresh graduates who have a strong foundation in data analytics, data engineering, data visualization, and data science, along with a strong drive to learn, collaborate, and grow in a dynamic, fast-paced environment.

As a Technical Business Analyst, you will be responsible for translating complex business challenges into actionable user stories, analytical models, and executable tasks in Jira. You will work across the entire data lifecycle—from understanding business context to delivering insights, solutions, and measurable outcomes.

Key Responsibilities

Business & Analytical Responsibilities

• Partner with business teams to understand one-line problem statements and translate them into detailed business requirements, opportunities, and project scope.
• Conduct exploratory data analysis (EDA) to uncover trends, patterns, and business insights.
• Create documentation including Business Requirement Documents (BRDs), user stories, process flows, and analytical models.
• Break down business needs into concise, actionable, and development-ready user stories in Jira.

Data & Technical Responsibilities

• Collaborate with data engineering teams to design, review, and validate data pipelines, data models, and ETL/ELT workflows.
• Build dashboards, reports, and data visualizations using leading BI tools to communicate insights effectively.
• Apply foundational data science concepts such as statistical analysis, predictive modeling, and machine learning fundamentals.
• Validate and ensure data quality, consistency, and accuracy across datasets and systems.

Collaboration & Execution

• Work closely with product, engineering, BI, and operations teams to support the end-to-end delivery of analytical solutions.
• Assist in development, testing, and rollout of data-driven solutions.
• Present findings, insights, and recommendations clearly and confidently to both technical and non-technical stakeholders.

Required Skillsets

Core Technical Skills

• 6+ years of Technical Business Analyst experience within an overall professional experience of 8+ years
• Data Analytics: SQL, descriptive analytics, business problem framing.
• Data Engineering (Foundational): Understanding of data warehousing, ETL/ELT processes, cloud data platforms (AWS/GCP/Azure preferred).
• Data Visualization: Experience with Power BI, Tableau, or equivalent tools.
• Data Science (Basic/Intermediate): Python/R, statistical methods, fundamentals of ML algorithms.

Soft Skills

• Strong analytical thinking and structured problem-solving capability.
• Ability to convert business problems into clear technical requirements.
• Excellent communication, documentation, and presentation skills.
• High curiosity, adaptability, and eagerness to learn new tools and techniques.

Educational Qualifications

• BE/B.Tech or equivalent in:
• Computer Science / IT
• Data Science

What We Look For

• Demonstrated passion for data and analytics through projects and certifications.
• Strong commitment to continuous learning and innovation.
• Ability to work both independently and in collaborative team environments.
• Passion for solving business problems using data-driven approaches.
• Proven ability (or aptitude) to convert a one-line business problem into a structured project or opportunity.

Why Join Us?

• Exposure to modern data platforms, analytics tools, and AI technologies.
• A culture that promotes innovation, ownership, and continuous learning.
• Supportive environment to build a strong career in data and analytics.

Skills: Data Analytics, Business Analysis, Sql

Must-Haves

Technical Business Analyst (6+ years), SQL, Data Visualization (Power BI, Tableau), Data Engineering (ETL/ELT, cloud platforms), Python/R

******

Notice period - 0 to 15 days (Max 30 Days)

Educational Qualifications: BE/B.Tech or equivalent in: (Computer Science / IT) /Data Science

Location: Trivandrum (Preferred) | Open to any location in India

Shift Timings - 8 hours window between the 7:30 PM IST - 4:30 AM IST

A full stack developer job description for MERN stack developers centers on designing, developing, and maintaining robust web applications using MongoDB, Express.js, React, and Node.js as core technologies.

Responsibilities

• Develop and maintain scalable web applications using the MERN stack.
• Build interactive and responsive user interfaces with React.
• Implement server-side APIs and business logic using Node.js and Express.js.
• Design, model, and manage databases with MongoDB to ensure efficient data storage and retrieval.
• Integrate front-end with back-end systems and third-party services.
• Optimize applications for speed and scalability, troubleshoot and debug code, and ensure reliability.
• Collaborate with other developers, designers, and stakeholders in an agile environment to clarify requirements and deliver solutions.
• Implement security best practices and protect sensitive data.
• Participate in code reviews and mentor junior developers.

Requirements

• Proven experience with the MERN stack (MongoDB, Express.js, React, Node.js).
• Strong skills in JavaScript, HTML5, and CSS3.
• Familiarity with RESTful API design, version control systems (Git), and front-end frameworks like Bootstrap or Material-UI.
• Understanding of database design, schema management, and NoSQL principles.
• Problem-solving ability and communication skills.
• Bachelor's degree in computer science or related field (preferred).
• Experience working collaboratively in a team-oriented environment.

Key Skills

• JavaScript, React.js, Node.js, Express.js, MongoDB.
• HTML/CSS, RESTful APIs, Git.
• Familiarity with agile methodologies and UI/UX best practices.
• Testing, debugging, code optimization, and deployment.

•  Perform Build activities (hardware & software configuration) of customer environment and contribute to improve Build process.
•  Coordinate for Service transition activities.

• Initiate change / release requests in line 
• customer change / release management process.

•  Work on the major problem tickets assigned by ITIS Teams
• Hands on experience in hardware asset management.
• experience on ticketing tool like service now or SNOW
• ITIL Certified.

Job Description:

1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges

a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem

b. Improve Model accuracy to deliver greater business impact

c.Estimate business impact due to deployment of model

2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge

3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines

4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch 

5.Experience in using Deep learning models with text, speech, image and video data

a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc

b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV

c.Knowledge of State of the art Deep learning algorithms

6.Optimize and tune Deep Learnings model for best possible accuracy

7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau

8.Work with application teams, in deploying models on cloud as a service or on-prem

a.Deployment of models in Test / Control framework for tracking

b.Build CI/CD pipelines for ML model deployment

9.Integrating AI&ML models with other applications using REST APIs and other connector technologies

10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

· Technology/Subject Matter Expertise

• Sufficient expertise in machine learning, mathematical and statistical sciences
• Use of versioning & Collaborative tools like Git / Github
• Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
• Develop prototype level ideas into a solution that can scale to industrial grade strength
• Ability to quantify & estimate the impact of ML models.

· Softskills Profile

• Curiosity to think in fresh and unique ways with the intent of breaking new ground.
• Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
• Ability to think ahead, and anticipate the needs for solving the problem will be important

·        Ability to communicate key messages effectively, and articulate strong opinions in large forums

· Desirable Experience:

• Keen contributor to open source communities, and communities like Kaggle
• Ability to process Huge amount of Data using Pyspark/Hadoop
• Development & Application of Reinforcement Learning
• Knowledge of Optimization/Genetic Algorithms
• Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
• Optimize and tune deep learning model for best possible accuracy
• Understanding of stream data processing, RPA, edge computing, AR/VR etc
• Appreciation of digital ethics, data privacy will be important
• Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
• Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

• Understanding the non-functional requirements from business.
• Analyzing the critical business scenarios.
• Analyzing the service level agreement objectives.
• Developing the test scripts.
• Enhancing the scripts by creating/implementing. ...
• Designing workload model.
• Test Execution.

• Conducting keyword research using dedicated software, and generating new keyword ideas.
• Analyzing website and social media pages, then making recommendations for improvement.
• Monitoring website traffic, search results, and developing strategies.
• Generating content ideas and delegating these to the team.
• Overseeing content creation and offering suggestions.
• Updating outdated content.
• Optimizing pages for desktop, tablet, and mobile use.
• Developing link-building strategies.
• Managing paid search campaigns.
• Keeping up to date with new trends and best SEO practices.

• BSc in marketing or similar.
• HTML and JavaScript experience.
• Previous experience in a similar role would be advantageous.
• Excellent written, verbal, and analytical skills.
• Experience with Google Analytics.
• Great customer service and interpersonal skills.
• Ability to follow specifications.
• Ability to work under pressure.

Education:
Bachelor’s/ Master’s degree in related field with 2+ years of experience in ERP product sales. .

Skills

• Excellent communication (verbal and written), time management skills, fast learner, self‐ motivated, and comfortable taking initiative and handling multiple projects simultaneously  
• Excellent customer approach, interpersonal and influencing skills
• Proficient and demonstrable experience in prospecting, qualifying, creating value-based demonstrations
• A sales person with a proven, successful background in sales of 2+ years of experience in ERP sales.

• Responsible for New Business Development via prospecting, qualifying, selling and closing software product sales in the Enterprise Division.
• Develop and implement strategy sales in the particular region to maximize growth opportunities, strengthen market share and maximum customer retention.
• Attracting new clients by innovating and overseeing the sales process for the business.
• Responsible for enhancing revenue, within existing and new clients, through continuous client engagement
• Set up meetings with potential clients and listen to their wishes and concerns, Improving sales strategy.
• Research and identify new market opportunities.
• Creates and conducts effective presentation and product demos
• Build & Strengthen market intelligence & sales analytics for identification of opportunities, effective client solutioning and deal conversion.
• Consistently meet and exceed sales targets
• Foster a collaborative environment within the organization.
• Identify trends and customer needs, building a short/medium/long-term sales pipeline in accordance with targets
• Prepare and deliver pitches to potential investors.
• Create and conduct proposal and presentation based on clients’ needs and closing of orders
• Be responsible for conduct webinar about our product.
• Provide timely weekly, monthly and quarterly sales reports
• Client Relationship management