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business intelligence analyst

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Denave

<div>
 
 Denave is looking for a
 
 Business Analyst
 
 , who has ability turn data into knowledge to deliver best possible solutions to our clients.
 
 
 
 
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Requirement Gathering: Engage with stakeholders to elicit, document, and validate business requirements using structured techniques.
 </li>
 <li>
 Should have experience in client interactions
 </li>
 <li>
 Needs Assessment: Analyze business challenges and opportunities to identify and prioritize needs across projects.
 </li>
 <li>
 Insight Derivation: Translate business understanding into actionable insights using qualitative and quantitative analysis.
 </li>
 <li>
 Ability to identify actionable insights by analyzing data in respect to the business focus/needs.
 </li>
 <li>
 Ability to interpret Data insights to the respective stakeholders
 </li>
 <li>
 Manage marketing and sales campaign analytics and provide performance visibility
 </li>
 <li>
 Process Adherence: Monitor and ensure compliance with established business processes, standards, and governance frameworks.
 </li>
 <li>
 Business Analysis: Conduct gap analysis, feasibility studies, and impact assessments to support decision-making and solution design.
 </li>
 <li>
 Perform hands-on analysis of large volumes of data and across multiple datasets  Support ad-hoc analysis and requests from business units and leadership
 </li>
 </ul>
 
 
 
 
 
 
 Job Requirements
 
 
 
 <ul>
 <li>
 B.Tech /BE/ BCA/ BSc in Computer Science, Engineering or relevant field, from reputed Engineering College/ Universities is preferred or Any Graduate
 </li>
 <li>
 
 Minimum 2 years of experience as a Business Analyst, working with BI and Analytics teams or on client-facing projects, is required.
 
 </li>
 <li>
 
 Exposure to large datasets, data cleaning and storytelling through data
 
 </li>
 <li>
 
 Excellent communication skills with stakeholder management experience Skills &amp; Competencies
 
 </li>
 <li>
 Strong analytical thinking and problem-solving abilities.
 </li>
 <li>
 
 Excellent communication and stakeholder engagement skills.
 
 </li>
 <li>
 Proficiency in tools like Power BI, and MS Excel.
 </li>
 <li>
 Experience with process modeling and documentation (e.g., BPMN, flowcharts).
 </li>
 <li>
 
 Ability to synthesize complex data into clear business recommendations
 
 </li>
 </ul>
</div>

Business Analyst

ShyftLabs

<div>
 
 Position Overview:
 
 
 
 We are looking for a Business Intelligence Analyst to support our digital and marketing analytics efforts. This role will contribute to improving the online booking experience, optimizing performance across digital channels, and helping define the metrics that guide growth. You will collaborate with analytics, engineering, and marketing teams to build scalable data solutions and deliver actionable insights.
 
 
 ShyftLabs is a growing data product company founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.
 
 
 
 Job Responsibilities:
 
 
 
 <ul>
 <li>
 Assist in building reporting tools and dashboards to track performance of the online booking funnel and enhance client experience.
 </li>
 <li>
 Test, track, and improve search, social, and content performance to increase customer engagement and conversions.
 </li>
 <li>
 Partner with the Data Engineering team to define and operationalize key business metrics, including bookings, conversion rates, and no-show rates.
 </li>
 <li>
 Extract, clean, and prepare data from platforms like Snowflake to support ad-hoc and recurring analysis.
 </li>
 <li>
 Develop dashboards and performance reports using tools like Power BI for internal stakeholders.
 </li>
 <li>
 Monitor trends and surface data-backed recommendations that support marketing, digital, and business growth strategies.
 </li>
 <li>
 Collaborate with data teams to set KPIs, build dashboards, and extract actionable insights from all data types.
 
 
 
 </li>
 </ul>
 
 Basic Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Analytics, Business, Marketing, Computer Science, or a related field
 </li>
 <li>
 2&ndash;4 years of hands-on experience in business intelligence, digital or marketing analytics, or related roles
 </li>
 <li>
 Proficiency in SQL and Excel, with experience working with data platforms such as Snowflake
 </li>
 <li>
 Strong skills in building dashboards and reports using BI tools, especially Power BI
 </li>
 <li>
 Familiarity with digital analytics platforms such as Google Analytics or equivalent
 </li>
 <li>
 Excellent analytical thinking, communication, and problem-solving skills
 </li>
 <li>
 Clear and professional communication skills, both verbal and written, with the ability to present complex data in a compelling and actionable way to non-technical stakeholders
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience working in multi-location retail, healthcare, or veterinary services
 </li>
 <li>
 Exposure to marketing attribution, web funnel analysis, or client journey optimization
 
 
 
 </li>
 </ul>
 
 We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.
 
</div>

Business Intelligence Analyst

Cognizant

<div>
 
 Job Summary
 
 
 
 We are seeking a highly skilled Data Scientist with 6 to 12 years of experience to join our team. The ideal candidate will have expertise in Statistics Azure Open AI Service EDA Airflow Knowledge Graph ML Ops Machine Learning Cloud AutoML Dialogflow OpenCV Artificial Intelligence Natural Language Processing Deep Learning PyTorch AI enabled chatbot Tensorflow R Statistical Package Python and Search Engine Optimization.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead the development and implementation of machine learning models to solve complex business problems
 </li>
 <li>
 Oversee the application of statistical techniques to analyze large datasets and extract meaningful insights
 </li>
 <li>
 Provide expertise in Azure Open AI Service to enhance AI capabilities within the organization
 </li>
 <li>
 Conduct exploratory data analysis (EDA) to identify trends patterns and anomalies in data
 </li>
 <li>
 Utilize Airflow to manage and automate data workflows and pipelines
 </li>
 <li>
 Implement knowledge graphs to improve data relationships and insights
 </li>
 <li>
 Apply ML Ops practices to streamline the deployment and monitoring of machine learning models
 </li>
 <li>
 Develop and optimize machine learning algorithms using Cloud AutoML and other tools
 </li>
 <li>
 Integrate Dialogflow to create and manage AI-enabled chatbots for customer interaction
 </li>
 <li>
 Utilize OpenCV for computer vision tasks and image processing
 </li>
 <li>
 Apply artificial intelligence and natural language processing techniques to enhance data analysis
 </li>
 <li>
 Implement deep learning models using PyTorch and Tensorflow for advanced data analysis
 </li>
 <li>
 Use R Statistical Package and Python for data manipulation analysis and visualization
 </li>
 <li>
 Optimize search engine performance through effective SEO strategies
 </li>
 <li>
 Collaborate with cross-functional teams to ensure alignment of data science projects with business objectives
 </li>
 <li>
 Communicate findings and recommendations to stakeholders in a clear and concise manner
 </li>
 <li>
 Stay updated with the latest advancements in data science and machine learning technologies
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Must have strong experience in Statistics and Azure Open AI Service
 </li>
 <li>
 Must be proficient in EDA Airflow and Knowledge Graph
 </li>
 <li>
 Must have expertise in ML Ops Machine Learning and Cloud AutoML
 </li>
 <li>
 Must be skilled in Dialogflow OpenCV and Artificial Intelligence
 </li>
 <li>
 Must have experience in Natural Language Processing and Deep Learning
 </li>
 <li>
 Must be proficient in PyTorch AI enabled chatbot and Tensorflow
 </li>
 <li>
 Must have strong knowledge of R Statistical Package and Python
 </li>
 <li>
 Must have experience in Search Engine Optimization
 </li>
 <li>
 Nice to have experience in other data science and machine learning tools and technologies
 </li>
 <li>
 Must have excellent communication and collaboration skills
 </li>
 </ul>
</div>

Data Scientist

Ericsson

<div>
 
 About Ericsson
 
 
 
 Ericsson is a leading provider of telecommunications equipment and services to mobile and fixed network operators globally. Our innovative solutions empower individuals, businesses, and societies to explore their full potential in the Networked Society. We are seeking a highly skilled and experienced Data Scientist to join our dynamic team at Ericsson. As a Data Scientist, you will be responsible for leveraging advanced analytics and machine learning techniques to drive actionable insights and solutions for our telecom domain. This role requires a deep understanding of data science methodologies, strong programming skills, and proficiency in cloud-based environments.
 
 
 
 Key Responsibilities
 
 
 
 Develop and deploy machine learning models for various applications including chat-bot, XGBoost, random forest, NLP, computer vision, and generative AI.
 
 
 Utilize Python for data manipulation, analysis, and modeling tasks.
 
 
 Proficient in SQL for querying and analyzing large datasets.
 
 
 Experience with Docker and Kubernetes for containerization and orchestration of applications.
 
 
 Basic knowledge of PySpark for distributed computing and data processing.
 
 
 Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
 
 
 Deploy machine learning models into production environments and ensure scalability and reliability.
 
 
 Preferably have experience working with Google Cloud Platform (GCP) services for data storage, processing, and deployment.
 
 
 
 Qualifications
 
 
 
 Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree or PhD is preferred.
 
 
 8-12 years of experience in data science and machine learning roles, preferably within the telecommunications or related industry.
 
 
 Proven experience in model development, evaluation, and deployment.
 
 
 Strong programming skills in Python and SQL.
 
 
 Familiarity with Docker, Kubernetes, and PySpark.
 
 
 Solid understanding of machine learning techniques and algorithms.
 
 
 Experience working with cloud platforms, preferably GCP.
 
 
 Excellent problem-solving skills and ability to work independently as well as part of a team.
 
 
 Strong communication and presentation skills, with the ability to explain complex analytical concepts to non-technical stakeholders.
 
 
 
 Why join Ericsson?
 
 
 
 At Ericsson, you&acute;ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what&acute;s possible. To build solutions never seen before to some of the world&rsquo;s toughest problems. You&acute;ll be challenged, but you won&rsquo;t be alone. You&acute;ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
 
 
 
 What happens once you apply?
 
 
 
 Click Here to find all you need to know about what our typical hiring process looks like.
 
 
 Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
 
 
 
 Primary country and city:
 
 India (IN) || Noida
 
 
 
 Req ID:
 
 767292
</div>

Testeem Solutions

<div>
 🔍 𝗪𝗲'𝗿𝗲 𝗛𝗶𝗿𝗶𝗻𝗴: 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 &ndash; 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁
 
 
 📍 Location: Noida (Hybrid) | 🕒 Experience: 4-5 years
 
 
 Are you passionate about pushing the boundaries of AI with real-world impact?
 
 
 We're looking for a 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 𝘀𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗶𝗻𝗴 𝗶𝗻 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 to join our team and help build cutting-edge intelligent systems. What You&rsquo;ll Do: You'll work on advanced AI applications using 𝗟𝗟𝗠𝘀, 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜, 𝗮𝗻𝗱 𝗡𝗟𝗣, developing innovative solutions with tools like 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻, 𝗛𝘂𝗴𝗴𝗶𝗻𝗴 𝗙𝗮𝗰𝗲, 𝗮𝗻𝗱 𝗔𝘇𝘂𝗿𝗲 𝗢𝗽𝗲𝗻𝗔𝗜. From building 𝗥𝗔𝗚 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 to deploying full-stack AI services, your expertise will directly shape the next generation of intelligent systems.
 
 
 𝗪𝗵𝗮𝘁 𝗪𝗲&rsquo;𝗿𝗲 𝗟𝗼𝗼𝗸𝗶𝗻𝗴 𝗙𝗼𝗿:
 
 
 <ul>
 <li>
 3+ years in Data Science with a focus on Generative AI, LLMs, and NLP
 </li>
 <li>
 𝗛𝗮𝗻𝗱𝘀-𝗼𝗻 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝘄𝗶𝘁𝗵:
 </li>
 <li>
 𝗥𝗔𝗚 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀, 𝗽𝗿𝗼𝗺𝗽𝘁 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴, 𝗮𝗻𝗱 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗴𝗿𝗮𝗽𝗵𝘀
 </li>
 <li>
 𝗔𝘇𝘂𝗿𝗲 𝗔𝗜 𝘀𝘁𝗮𝗰𝗸 &ndash; OpenAI, Cognitive Services, Azure ML
 </li>
 <li>
 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻 and agentic AI orchestration tools
 </li>
 <li>
 𝗛𝘂𝗴𝗴𝗶𝗻𝗴 𝗙𝗮𝗰𝗲 for model fine-tuning
 </li>
 <li>
 𝗩𝗲𝗰𝘁𝗼𝗿 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀, semantic search, embeddings
 </li>
 <li>
 𝗣𝘆𝘁𝗵𝗼𝗻 for AI applications and system integration
 </li>
 <li>
 Solid MLOps background &ndash; CI/CD, DevOps, scalable deployment
 </li>
 <li>
 Familiarity with tools like 𝗙𝗮𝘀𝘁𝗔𝗣𝗜, 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀, 𝗔𝗪𝗦, 𝗠𝗟𝗳𝗹𝗼𝘄, 𝗙𝗮𝗶𝘀𝘀, 𝗥𝗲𝗱𝗶𝘀, 𝗮𝗻𝗱 𝗢𝗽𝗲𝗻𝗔𝗜 𝗔𝗣𝗜𝘀
 </li>
 <li>
 A creative problem-solver who enjoys debugging, optimizing, and improving AI systems
 
 
 </li>
 </ul>
 Skills: data science,advanced,intelligent systems
</div>

HCLTech

<div>
 
 we are seeking a highly skilled Technical Business Analyst (TBA) to join our dynamic retail e-commerce team. The ideal candidate will bridge the gap between business needs and technical solutions by analyzing, designing, and optimizing systems and processes. With strong technical expertise and the ability to work closely with development teams, architects, and DevOps, the TBA will ensure that business requirements are translated into functional and scalable technical implementations.
 
 
 
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Analyze system integrations and data flows between e-commerce applications.
 </li>
 <li>
 Define API specifications, data mappings, and technical workflows.
 </li>
 <li>
 Write SQL queries for data validation and reporting.
 </li>
 <li>
 Collaborate with developers to clarify technical constraints and feasibility.
 </li>
 <li>
 Document technical requirements (e.g., FRD, user stories with acceptance criteria).
 </li>
 <li>
 Collaborate with Agile teams (Scrum/Kanban) to refine user stories, estimate work, and resolve blockers.
 </li>
 <li>
 Assist in testing (e.g., API testing, database validation).
 </li>
 </ul>
 
 
 
 
 Skills &amp; Tools
 
 
 Technical
 
 <ul>
 <li>
 SQL
 </li>
 <li>
 REST APIs
 </li>
 <li>
 JSON/XML
 </li>
 <li>
 Basic scripting (Python/Shell)
 </li>
 <li>
 System architecture
 </li>
 </ul>
 
 Analytical
 
 <ul>
 <li>
 Data modeling
 </li>
 <li>
 Process mapping
 </li>
 <li>
 UML/BPMN diagrams
 </li>
 </ul>
 
 Tools
 
 <ul>
 <li>
 Postman
 </li>
 <li>
 JIRA
 </li>
 <li>
 Confluence
 </li>
 <li>
 Swagger
 </li>
 <li>
 ERD tools
 </li>
 </ul>
 
 Agile Ceremonies
 
 <ul>
 <li>
 Active in stand-ups, retrospectives, and sprint reviews.
 </li>
 </ul>
 
 
 
 
 Qualifications
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Information Systems, or related field.
 </li>
 <li>
 5+ years of experience as a Business Analyst or similar role.
 </li>
 <li>
 Experience in the retail e-commerce domain is highly desirable.
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 <li>
 Excellent communication and collaboration skills.
 </li>
 <li>
 Proven ability to work in a fast-paced, Agile environment.
 </li>
 </ul>
 
 
 
 
 Experience: 10-13 Years
 
 
 Location: Noida
 
 
 NP: Immediate to 60days
 
 
 Budget utpo: 22LPA
 
 
 
 
 
 if relevant and interested, please share your resume to
 
 
 Susan.angelinej@hcltech.com
 
 
 
 
 
 
 
 Thanks &amp; Regards
 
 
 Susan Angeline J
 
 
 HCL Technologies Pvt LTd
 
 
 
</div>

STAGE

<div>
 
 
 About STAGE:
 
 
 
 STAGE is India&rsquo;s leading OTT platform focused on regional content and storytelling. We are on a mission to empower audiences with authentic, homegrown content, and data is at the core of how we build, scale, and deliver.
 
 
 
 
 
 
 Role Overview:
 
 
 
 As the
 
 Head of Data
 
 , you will lead and scale our Data Engineering and Analytics functions. You will be responsible for building a high-performing team, driving the data vision, ensuring cost efficiency, and enabling data-driven decision-making across STAGE.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 Leadership &amp; Strategy
 
 <ul>
 <li>
 Define and drive the data vision, strategy, and roadmap for STAGE.
 </li>
 <li>
 Lead Data Engineering and Analytics teams to deliver scalable, reliable, and impactful data platforms.
 </li>
 <li>
 Build, mentor, and grow a high-performing data team through effective hiring, feedback, and career development.
 </li>
 </ul>
 
 Execution &amp; Delivery
 
 <ul>
 <li>
 Oversee the entire data lifecycle: collection, storage, processing, governance, and visualization.
 </li>
 <li>
 Deliver accurate, timely insights and enable self-service analytics across teams.
 </li>
 <li>
 Collaborate with Product, Engineering, Marketing, and Business stakeholders to prioritize initiatives.
 </li>
 </ul>
 
 Operational Excellence
 
 <ul>
 <li>
 Manage budgets and optimize infrastructure and tool costs.
 </li>
 <li>
 Establish best practices for data quality, privacy, compliance, and security.
 </li>
 <li>
 Build scalable reporting frameworks and ensure operational efficiency.
 </li>
 </ul>
 
 Stakeholder Management
 
 <ul>
 <li>
 Act as a trusted partner to leadership, enabling data-driven decision-making.
 </li>
 <li>
 Align data priorities with overall business objectives.
 </li>
 </ul>
 
 
 
 
 
 Desired Skills &amp; Experience:
 
 
 <ul>
 <li>
 
 10+ years of overall experience
 
 in Data Engineering, Data Analytics, or related domains.
 </li>
 <li>
 Minimum
 
 3 years of proven leadership experience
 
 managing data teams.
 </li>
 <li>
 Hands-on foundation as a Data Engineer or Data Analyst.
 </li>
 <li>
 Strong experience in hiring, mentoring, and team growth.
 </li>
 <li>
 Expertise in
 
 cost management, prioritization, and stakeholder alignment
 
 .
 </li>
 <li>
 Experience with modern data stacks: cloud platforms (AWS/GCP/Azure), data warehousing (Snowflake/BigQuery/Redshift), and analytics tools (Looker, Tableau, Power BI, etc.).
 </li>
 <li>
 Excellent communication, leadership, and problem-solving skills.
 </li>
 </ul>
 
 
 
 
 
 Why Join STAGE?
 
 
 <ul>
 <li>
 Lead and build the Data function for a high-growth OTT platform.
 </li>
 <li>
 Work on impactful, large-scale data problems that shape the future of regional content in India.
 </li>
 <li>
 Join a collaborative culture focused on innovation, ownership, and growth.
 </li>
 </ul>
</div>

Head of Data Engineering & Analytics

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Head of Data Engineering & Analytics