Sr BI Analyst / Lead BI Analyst

Company Overview: 

Softlink Global is a leading IT software company specializing in digitalizing logistics and freight forwarding operations. With a strong global presence across 50+ countries, our innovative, cutting edge ERP solutions empower businesses to streamline and optimize complex operations, enhance efficiency, and drive profitability for global clients. We operate from offices in Singapore, the USA, and the Philippines, and across major cities in India, including Mumbai, New Delhi, Chennai, Bangalore, Kolkata, Ahmedabad, and Hyderabad. 

Position Overview: 

We are looking for a Full Stack Developer (3–5 years) who can go beyond code to understand and solve real business problems. This role requires someone who is equally comfortable writing efficient, scalable software and articulating complex ideas clearly to both technical and non-technical stakeholders. A successful candidate will combine solid development skills with logical reasoning, solution-oriented thinking, and the ability to collaborate effectively across teams. 

Job Description:

1. Application Development: 

∙ Design and develop scalable and maintainable web applications using C#, ASP.NET, MVC, and MS SQL. 

∙ Implement user interfaces with React and modern JavaScript to create intuitive user experiences. 

∙ Apply a solution-oriented approach to translate business requirements into clean, reliable code. 

2. Database Management: 

∙ Write, review, and optimize SQL queries for data-heavy operations with a focus on performance and accuracy. 

∙ Contribute to database design, ensuring consistency, security, and scalability.

3. Collaboration & Teamwork: 

∙ Work closely with product managers, designers, QA, and other developers to shape technical solutions that address real-world logistics challenges. 

∙ Actively participate in sprint planning, whiteboard discussions, and design sessions to drive clarity and alignment across teams. 

4. Code Quality & Debugging: 

∙ Follow best practices for clean code, version control, and documentation. 

∙ Diagnose complex bugs, conduct root cause analysis, and implement robust fixes. ∙ Technology Innovation: 

∙ Stay current with new technologies and development practices to continuously improve product quality.

∙ Contribute ideas for architectural improvements, refactoring opportunities, and better engineering processes. 

Ideal Candidate Requirements: 

∙ Bachelor’s degree in Computer Science, IT, or a related field 

∙ 3 to 5 years of hands-on experience in software development using any of the following: C#, ASP.NET, React, JavaScript, SQL 

∙ Strong interest in building full-stack applications and working in a product-driven environment

∙ Logical reasoning and a proactive attitude toward learning and problem-solving

∙ Good communication skills and a willingness to learn from peers and mentors

Carsome’s Data Department is on the lookout for a Data Scientist/Senior Data Scientist who has a strong passion in building data powered products.

Data Science function under the Data Department has a responsibility for standardisation of methods, mentoring team of data science resources/interns, including code libraries and documentation, quality assurance of outputs, modeling techniques and statistics, leveraging a variety of technologies, open-source languages, and cloud computing platform. 

You will get to lead & implement projects such as price optimization/prediction, enabling iconic personalization experiences for our customer, inventory optimization etc.

Job Descriptions

• Identifying and integrating datasets that can be leveraged through our product and work closely with data engineering team to develop data products.
• Execute analytical experiments methodically to help solve various problems and make a true impact across functions such as operations, finance, logistics, marketing. 
• Identify, prioritize, and design testing opportunities that will inform algorithm enhancements. 
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models and clean and validate data for uniformity and accuracy.
• Unlock insights by analyzing large amounts of complex website traffic and transactional data. 
• Implement analytical models into production by collaborating with data analytics engineers.

Technical Requirements

• Expertise in model design, training, evaluation, and implementation ML Algorithm expertise K-nearest neighbors, Random Forests, Naive Bayes, Regression Models. PyTorch, TensorFlow, Keras, deep learning expertise, tSNE, gradient boosting expertise, regression implementation expertise, Python, Pyspark, SQL, R, AWS Sagemaker /personalize etc.
• Machine Learning / Data Science Certification

Experience & Education 

• Bachelor’s in Engineering / Master’s in Data Science  / Postgraduate Certificate in Data Science. 

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

Creador Designs is a graphic design company specializing in logo creation, business branding design, packaging, and website development. Founded in 2014, Creador Designs offers corporate identity design and branding services to small businesses and start-ups. Over the years, we have grown to become one of the most respected online brands for logo design, corporate identity, and web design.

We offer you the opportunity to work with leading and dynamic brands all around the world every day. We are looking for a talented individual for the position of Digital Marketing Executive. Apply to us and unleash your curiosity and challenge your ideas. As you strive to make a real difference, we'll strive to make you a better you!

Requirements and skills :

• Proven experience as Digital Marketing Executive or similar role.
• Experience with B2C social media, Google Adwords and email campaigns and SEO/SEM.
• Skills and experience in creative content writing.
• Analytical mindset and critical thinking.
• Excellent communication and interpersonal skills.

• Assist in the formulation of strategies to build a lasting digital connection with consumers.
• Plan and monitor the ongoing company presence on social media.
• Launch optimized online adverts through Google Adwords, Facebook etc. to increase company and brand awareness.
• Be actively involved in SEO efforts for  Social Media Marketing and Website. (keyword, image optimization etc.)
• Provide creative ideas for content marketing and update website.
• Prepare promotional emails and organize their distribution through various channels.
• Collaborate with designers to improve user experience.
• Acquire insight in online marketing trends and keep strategies up-to-date
• Maintain partnerships with media agencies and vendors
• Retaining existing clients.

• 3+ years’ experience developing and implementing enterprise-scale reports and dashboards.

• Proficiency with MS Power BI / SSRS.

• Knowledge of logical and physical data modeling concepts (relational and dimensional).

• Understanding of structured query language (SQL).