Qualifications:

• 8-14 years of experience in B2B sales, preferably in BI, analytics, SaaS, enterprise software, or IT solutions.
• Proven track record of hunting, winning, and managing enterprise accounts.
• Strong experience in consultative & solution selling for C-level executives and decision-makers.
• Excellent negotiation, presentation, and communication skills.
• Ability to work with CRM tools (Salesforce, HubSpot, or similar) for sales tracking.

Responsibilities:

• New Business Development: Identify and engage enterprise customers for Intellicus BI & analytics solutions.
• Sales Pipeline Management: Drive end-to-end sales cycles from lead generation, qualification, solution presentations, and proposal negotiation to deal closure.
• Account Management: Build and nurture long-term relationships with key clients to drive upselling and cross-selling opportunities.
• Consultative Selling: Understand customer pain points, demonstrate Intellicus BI platform, and provide tailored solutions to meet business needs.
• Collaboration with Internal Teams: Work closely with pre-sales, marketing, and product teams to align strategies and ensure customer success.
• Revenue & Target Achievement: Consistently meet or exceed sales quotas and contribute to overall business growth.
• Market Research & Competitor Analysis: Stay updated on industry trends, competitor offerings, and market demands.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 1-3 years of proven experience in Data Science.
• Strong theoretical and practical knowledge of advanced statistical algorithms, including machine learning, deep learning, and optimization techniques, with the ability to apply them effectively to real-world business problems.

Responsibilities:

• Design and develop end-to-end machine learning pipelines, including model development, tuning, implementation, and monitoring for various analytical use cases.
• Collaborate closely with business stakeholders and product management teams to deliver impactful analytics solutions.
• Present insights and analytical results to both technical and non-technical audiences in a clear and compelling manner.
• Continuously explore and evaluate emerging tools and technologies to enhance solution efficiency and scalability.
• Demonstrate outstanding analytical thinking and problem-solving skills.

Mandatory Skills:

Languages & Libraries:

• Python, Pandas, NumPy, Scikit-learn, NLTK, Keras, SQL

Techniques & Concepts:

• Exploratory Data Analysis (EDA)
• Machine Learning and Neural Networks
• Transformers and Natural Language Processing (NLP)
• Model building, hyperparameter tuning, and performance evaluation based on business metrics
• Model deployment and MLOps practices
• Strong foundation in Statistics (e.g., Probability Distributions, Hypothesis Testing)
• Deep Learning techniques and architectures
• Data pipelines and Data Engineering fundamentals

Good to Have:

• Expertise in Large Language Models (LLMs) for solving NLP problems using state-of-the-art models and services (e.g., OpenAI, Claude).
• Familiarity with Retrieval-Augmented Generation (RAG) and techniques to enhance the performance and capabilities of LLM-based solutions.
• Strong logical reasoning and design skills for creating effective, user-centric conversational flows for chatbot applications.
• Passion for research and innovation, with a commitment to staying current on advancements in NLP, LLMs, and ML.
• Experience in data modeling and designing robust data architectures.

Requisition Description:

• Experience in writing and troubleshooting SQL queries
• Proficient in database and Data warehousing concepts.
• Proven hands-on experience in designing, developing, and supporting Database projects for analysis
• Good written and verbal communication skills.
• Knowledge and/or experience of the following will be added advantage
• MDX/ DAX
• Database design techniques
• Data modeling
• SSAS
• Spark processing
• Hadoop ecosystem or AWS, Azure, or GCP Cluster and processing
• Hive
• Redshift, or Snowflake
• Linux system
• Tableau, Micro strategy, Power BI, or any BI tools
• Programming on Python, Java, or Shell Script

Roles and Responsibilities:

• Interact with senior-most technical and businesspeople of large enterprises to understand their analytics strategy and their problem statements in that area.
• Understand Customer domain and database schema
• Designing OLAP semantic models and dashboards
• Be the go-To person for customers regarding technical issues during the project
• Efficient task status reporting to stakeholders and customers
• Be willing to work on off hours to meet the timeline.
• Be willing to travel or relocate as per project requirement
• Be willing to work on different technologies

Qualification:

• This role is for Business Consultant. He/She will be responsible for project management therefore it is important for the candidate to have in depth understanding of the WFM tools and project management experience.
• Should have minimum 5 and maximum 9 years of experience in WFM role where the applicant has worked for all stages of WFM (Forecasting, capacity plan, roster & schedule)
• Aptitude in creative problem-solving
• Proficiency in MS Office
• Familiarity with a wide selection of WFM software such as Verint, Genesis, Nice IEX etc. and databases.
• Analytical mind with excellent data collection and analysis skills
• Should be confident and excellent in communication both written and verbal
• Should be willing to work in an individual contributor role
• Graduate in any discipline.
• Certified Management Consultant is a plus
• Must be willing to travel as per business requirement

Job Responsibilities:

• Organizing and executing assigned business projects on behalf of clients according to client’s requirements
• Meeting with assigned clients when needed and perform an initial assessment of a problematic situation
• Collecting information about the client’s business through a variety of methods (shadowing, interviews, reading reports etc.)
• Analyse and interpret data to unearth weaknesses and problems, and comprehend the causes
• Formulate recommendations and solutions with attention to a client’s wishes, capabilities and limitations forming concise reports
• Present findings and suggestions to clients with ample justification and practical advice
• Develop detailed business plans to drive small or radical changes
• Assist the client in implementing the plan and resolve any occasional discrepancies
• Provide guidance for any occurring problems and issues
• Partner with Professional Services team to support project management from business capability standpoint.
• Work as a business knowledge bridge between internal and external team.