1448 Bi Jobs - Page 10

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days

Required Skills : Working knowledge of Big Data / cloud-based / columnar databases (such as Snowflake, AWS Redshift, Bigquery etc.) Experience in scripting languages like Python, R,Spark, Perl, etc. Very good knowledge of ETL concepts Experience in ETL tools like SSIS, Talend, Pentaho, etc., is a plus Very good knowledge of SQL querying Rich experience in relational data modelling Experience in developing logical, physical, and conceptual data models. Experience in AWS & Google cloud Services is a plus Experience with BI dashboard is plus Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Strong analytical skills and problem-solving aptitude. Ability to learn new technologies quickly. Work with other team members in collaborative manner. Passionate to learn & work on versatile technologies Notice Period : Immediate 15 days

Job Summary We are seeking a highly skilled Global Data Engineer at the Senior Associate level to support our domestic Digital Finance Transformation team. The ideal candidate will possess advanced expertise in SQL, Alteryx, Power BI, and Python, along with strong experience in current finance use cases and leading practices related to artificial intelligence (AI) and machine learning (ML). This role will focus on building robust data pipelines, developing analytics and reporting solutions, and integrating AI/ML models to drive business insights and process automation. Job Duties Key Responsibilities Collaborate closely with the stateside Digital/Finance Transformation team to understand business requirements and deliver data-driven solutions. Design, develop, and maintain ETL/ELT pipelines using SQL and Alteryx for data ingestion, transformation, and integration from multiple sources. Cleanse, structure, and transform large data sets from various sources (e.g., ERPs, APIs, cloud data lakes). Build and optimize data models and data warehouses to support analytics, reporting, and machine learning workflows. Develop, publish, and maintain interactive dashboards and reports in Power BI for finance and business stakeholders. Integrate machine learning models into data pipelines for real-time or batch inference. Integrate data quality, integrity, and security concepts across all data assets and processes. Automate data processes and workflows to improve efficiency and scalability. Document data engineering processes, data flows, and AI/ML model integration. Translate business requirements into technical solutions and deliverables. Follow best practices in data security, data governance, privacy, and compliance. Qualifications, Knowledge, Skills and Abilities Education : Bachelors or masters degree in computer science, Data Science, Engineering, or related field (preferred). Experience & Skills : Advanced proficiency in SQL for data extraction, transformation, and analysis. Hands-on experience with Alteryx for ETL/ELT workflows and data automation. Strong expertise in Power BI for data visualization, dashboard development, and report publishing. Strong expertise in Python, including data integration and analysis (preferred). Solid understanding of AI and machine learning concepts and leading practices. Experience with machine learning frameworks, data modeling, warehousing, and relational databases. Excellent problem-solving, analytical, and communication skills; comfortable working across time zones in a collaborative, fast-paced virtual environment.

Job Summary: We are looking for a highly skilled Senior Data Engineer with expertise in Snowflake, DBT (Data Build Tool), and SAP Data Services (SAP DS). The ideal candidate will be responsible for building scalable data pipelines, designing robust data models, and ensuring high data quality across enterprise platforms. Key Responsibilities: Design, build, and optimize data pipelines and ETL/ELT workflows using Snowflake and DBT Integrate and manage data from various sources using SAP Data Services Develop and maintain scalable data models, data marts, and data warehouses Work closely with data analysts, business stakeholders, and BI teams to support reporting and analytics needs Implement best practices in data governance, data lineage, and metadata management Monitor data quality, troubleshoot issues, and ensure data integrity Optimize Snowflake data warehouse performance (partitioning, caching, query tuning) Automate data workflows and deploy DBT models with CI/CD tools (e.g., Git, Jenkins) Document architecture, data flows, and technical specifications

Job Summary: We are looking for a highly skilled Senior Data Engineer with expertise in Snowflake, DBT (Data Build Tool), and SAP Data Services (SAP DS). The ideal candidate will be responsible for building scalable data pipelines, designing robust data models, and ensuring high data quality across enterprise platforms. Key Responsibilities: Design, build, and optimize data pipelines and ETL/ELT workflows using Snowflake and DBT Integrate and manage data from various sources using SAP Data Services Develop and maintain scalable data models, data marts, and data warehouses Work closely with data analysts, business stakeholders, and BI teams to support reporting and analytics needs Implement best practices in data governance, data lineage, and metadata management Monitor data quality, troubleshoot issues, and ensure data integrity Optimize Snowflake data warehouse performance (partitioning, caching, query tuning) Automate data workflows and deploy DBT models with CI/CD tools (e.g., Git, Jenkins) Document architecture, data flows, and technical specifications

Job Summary: We are looking for a highly skilled Senior Data Engineer with expertise in Snowflake, DBT (Data Build Tool), and SAP Data Services (SAP DS). The ideal candidate will be responsible for building scalable data pipelines, designing robust data models, and ensuring high data quality across enterprise platforms. Key Responsibilities: Design, build, and optimize data pipelines and ETL/ELT workflows using Snowflake and DBT Integrate and manage data from various sources using SAP Data Services Develop and maintain scalable data models, data marts, and data warehouses Work closely with data analysts, business stakeholders, and BI teams to support reporting and analytics needs Implement best practices in data governance, data lineage, and metadata management Monitor data quality, troubleshoot issues, and ensure data integrity Optimize Snowflake data warehouse performance (partitioning, caching, query tuning) Automate data workflows and deploy DBT models with CI/CD tools (e.g., Git, Jenkins) Document architecture, data flows, and technical specifications

We're Hiring: Head BI & Analytics (Sr. Manager / AGM / DGM / GM Level) Location: Kolkata Experience: 15+ Years Industry: Retail – Apparel Domain We’re on the lookout for a dynamic leader to head the Business Intelligence & Analytics function for a well-established player in the retail apparel industry. Key Responsibilities: • Drive strategic decision-making through data • Lead BI platforms, analytics tools, and dashboards • Collaborate across merchandising, supply chain, and retail operations • Strong focus on consumer insights and business performance analytics Ideal Candidate: • 15+ years in BI/Data Analytics in retail apparel domain • Experience handling large-scale data platforms and visualization tools (Power BI, Tableau, etc.) • Strong leadership and stakeholder management skills • Based in or open to relocating to Kolkata If this role sounds like a fit for you—or you know someone who would be a great match—feel free to DM me or write to namita.bnh@gmail.com

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.

We are looking to add an experienced and enthusiastic Lead Data Scientist to our Jet2 Data Science team in India. Reporting to the Data Science Delivery Manager , the Lead Data Scientist is a key appointment to the Data Science Team , with responsibility for executing the data science strategy and realising the benefits we can bring to the business by combining insights gained from multiple large data sources with the contextual understanding and experience of our colleagues across the business. In this exciting role, y ou will be joining an established team of 40+ Data Science professionals , based across our UK and India bases , who are using data science to understand, automate and optimise key manual business processes, inform our marketing strategy, and ass ess product development and revenue opportunities and optimise operational costs. As Lead Data Scientist, y ou will have strong experience in leading data science projects and creating machine learning models and be able t o confidently communicate with and enthuse key business stakeholders . Roles and Responsibilities A typical day in your role at Jet2TT: A lead data scientist would lead a team of data science team Lead will be responsible for delivering & managing day-to-day activities The successful candidate will be highly numerate with a statistical background , experienced in using R, Python or similar statistical analysis package Y ou will be expected to work with internal teams across the business , to identify and collaborate with stakeholders across the wider group. Leading and coaching a group of Data Scientists , y ou will plan and execute the use of machine learning and statistical modelling tools suited to the identified initiative delivery or discovery problem identified . You will have strong ability to analyse the create d algorithms and models to understand how changes in metrics in one area of the business could impact other areas, and be able to communicate those analyses to key business stakeholders. You will identify efficiencies in the use of data across its lifecycle, reducing data redundancy, structuring data to ensure efficient use of time , and ensuring retained data/information provides value to the organisation and remains in-line with legitimate business and/or regulatory requirements. Your ability to rise above group think and see beyond the here and now is matched only by your intellectual curiosity. Strong SQL skills and the ability to create clear data visualisations in tools such as Tableau or Power BI will be essential . They will also have experience in developing and deploying predictive models using machine learning frameworks and worked with big data technologies. As we aim to realise the benefits of cloud technologies, some familiarity with cloud platforms like AWS for data science and storage would be desirable. You will be skilled in gathering data from multiple sources and in multiple formats with knowledge of data warehouse design, logical and physical database design and challenges posed by data quality. Qualifications, Skills and Experience (Candidate Requirements): Experience in leading small to mid-size data science team Minimum 7 years of experience in the industry & 4+ experience in data science Experience in building & deploying machine learning algorithms & detail knowledge on applied statistics Good understanding of various data architecture RDBMS, Datawarehouse & Big Data Experience of working with regions such as US, UK, Europe or Australia is a plus Liaise with the Data Engineers, Technology Leaders & Business Stakeholder Working knowledge of Agile framework is good to have Demonstrates willingness to learn Mentoring, coaching team members Strong delivery performance, working on complex solutions in a fast-paced environment

We are looking for a skilled BI Developer with expertise in SQL to join our team at Ezeiatech Systems Private Limited. The ideal candidate will have experience in the IT Services & Consulting industry and possess a strong background in business intelligence development using SQL. Roles and Responsibility Design, develop, and implement data visualizations and reports using SQL. Collaborate with cross-functional teams to identify business requirements and develop solutions. Develop and maintain databases, data warehouses, and other data storage systems. Optimize database performance, troubleshoot issues, and ensure data integrity. Work closely with stakeholders to understand business needs and provide insights. Stay up-to-date with industry trends and emerging technologies in BI development. Job Requirements Strong proficiency in SQL programming language. Experience with business intelligence tools and technologies. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Strong communication and interpersonal skills. Familiarity with data modeling and database design principles.

Role Description : As a Senior Business Analyst at Incedo, you will be responsible for understanding and documenting business requirements and translating them into technical specifications. You should have excellent communication skills and be able to work closely with stakeholders to identify and solve business problems. Roles & Responsibilities: Lead requirements gathering and analysis efforts, ensuring that all stakeholders' needs are understood and translated into clear, concise, and complete requirements Conduct feasibility studies and impact analysis to identify potential risks, issues, and opportunities related to proposed changes or solutions Develop and maintain project documentation, including business requirements, functional specifications, process flows, use cases, and user stories Collaborate with cross-functional teams, including developers, testers, and project managers, to ensure that requirements are understood and implemented correctly Facilitate communication and collaboration between business stakeholders and technical teams Conduct business process modeling and analysis to identify areas for process improvement Develop and maintain domain knowledge in the business area(s) supported by the organization Participate in the development and implementation of business analysis best practices and standards. Technical Skills Skills Requirements: Strong analytical and problem-solving skills. Experience in requirements gathering, documentation, and management. Familiarity with project management methodologies such as Agile or Waterfall. Proficiency with business intelligence (BI) tools such as Tableau, Power BI, or QlikView. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description : As a Technical Lead - Datawarehousing Development at Incedo, you will be responsible for designing and developing data warehousing solutions. You should have experience with ETL tools such as Informatica, Talend, or DataStage and be proficient in SQL. Roles & Responsibilities: Design and develop data warehousing solutions using tools like Hadoop, Spark, or Snowflake Write efficient and optimized ETL scripts Collaborate with cross-functional teams to develop and implement data warehousing features and enhancements Debug and troubleshoot complex data warehousing issues Ensure data security, availability, and scalability of production systems Technical Skills Skills Requirements: Proficiency in ETL (Extract, Transform, Load) processes and tools such as Informatica, Talend, or DataStage. Experience with data modeling and schema design for data warehousing applications. Knowledge of data warehouse technologies such as Amazon Redshift, Snowflake, or Oracle Exadata. Familiarity with business intelligence (BI) tools such as Tableau, Power BI, or QlikView. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred .

Role Description : As a Technical Lead - Data Analysis at Incedo, you will be responsible for analyzing and interpreting large and complex datasets to extract insights and identify patterns. You will work with data analysts and data scientists to understand business requirements and provide data-driven solutions. You will be skilled in data analysis tools such as Excel or Tableau and have experience in programming languages such as Python or R. You will be responsible for ensuring that data analysis is accurate, efficient, and scalable. Roles & Responsibilities: Analyzing and interpreting complex data sets using statistical and data analysis tools Developing and implementing data-driven insights and solutions Creating and presenting reports and dashboards to stakeholders Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data analysts. Technical Skills Skills Requirements: Proficiency in data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Knowledge of statistical analysis techniques such as hypothesis testing, regression analysis, or time-series analysis. Familiarity with data visualization and reporting tools such as Tableau, Power BI, or Looker. Understanding of data exploration and discovery techniques such as clustering, anomaly detection, or text analytics. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description : As a Software Engineer - Data Reporting Services at Incedo, you will be responsible for creating reports and dashboards for clients. You will work with clients to understand their reporting needs and design reports and dashboards that meet those needs. You will be skilled in data visualization tools such as Tableau or Power BI and have experience with reporting tasks such as data analysis, dashboard design, and report publishing. Roles & Responsibilities: Design and develop reports and dashboards to help businesses make data-driven decisions. Develop data models and perform data analysis to identify trends and insights. Work with stakeholders to understand their reporting needs and develop solutions that meet those needs. Proficiency in data visualization tools like Tableau, Power BI, and QlikView. Technical Skills Skills Requirements: Strong knowledge of SQL and data querying tools such as Tableau, Power BI, or QlikView Experience in designing and developing data reports and dashboards Familiarity with data integration and ETL tools such as Talend or Informatica Understanding of data governance and data quality concepts Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Qualifications 3-5 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description : As a Senior Data Reporting Services Specialist at Incedo, you will be responsible for creating reports and dashboards for clients. You will work with clients to understand their reporting needs and design reports and dashboards that meet those needs. You will be skilled in data visualization tools such as Tableau or Power BI and have experience with reporting tasks such as data analysis, dashboard design, and report publishing. Roles & Responsibilities: Design and develop reports and dashboards to help businesses make data-driven decisions. Develop data models and perform data analysis to identify trends and insights. Work with stakeholders to understand their reporting needs and develop solutions that meet those needs. Proficiency in data visualization tools like Tableau, Power BI, and QlikView. Technical Skills Skills Requirements: Strong knowledge of SQL and data querying tools such as Tableau, Power BI, or QlikView Experience in designing and developing data reports and dashboards Familiarity with data integration and ETL tools such as Talend or Informatica Understanding of data governance and data quality concepts Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description : As a Senior Business Analyst at Incedo, you will be responsible for understanding and documenting business requirements and translating them into technical specifications. You should have excellent communication skills and be able to work closely with stakeholders to identify and solve business problems. Roles & Responsibilities: Lead requirements gathering and analysis efforts, ensuring that all stakeholders' needs are understood and translated into clear, concise, and complete requirements Conduct feasibility studies and impact analysis to identify potential risks, issues, and opportunities related to proposed changes or solutions Develop and maintain project documentation, including business requirements, functional specifications, process flows, use cases, and user stories Collaborate with cross-functional teams, including developers, testers, and project managers, to ensure that requirements are understood and implemented correctly Facilitate communication and collaboration between business stakeholders and technical teams Conduct business process modeling and analysis to identify areas for process improvement Develop and maintain domain knowledge in the business area(s) supported by the organization Participate in the development and implementation of business analysis best practices and standards. Technical Skills Skills Requirements: Strong analytical and problem-solving skills. Experience in requirements gathering, documentation, and management. Familiarity with project management methodologies such as Agile or Waterfall. Proficiency with business intelligence (BI) tools such as Tableau, Power BI, or QlikView. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description : As a Technical Lead - Business Analysis at Incedo, you will be responsible for understanding and documenting business requirements and translating them into technical specifications. You should have excellent communication skills and be able to work closely with stakeholders to identify and solve business problems. Roles & Responsibilities: Lead requirements gathering and analysis efforts, ensuring that all stakeholders' needs are understood and translated into clear, concise, and complete requirements Conduct feasibility studies and impact analysis to identify potential risks, issues, and opportunities related to proposed changes or solutions Develop and maintain project documentation, including business requirements, functional specifications, process flows, use cases, and user stories Collaborate with cross-functional teams, including developers, testers, and project managers, to ensure that requirements are understood and implemented correctly Facilitate communication and collaboration between business stakeholders and technical teams Conduct business process modeling and analysis to identify areas for process improvement Develop and maintain domain knowledge in the business area(s) supported by the organization Participate in the development and implementation of business analysis best practices and standards. Technical Skills Skills Requirements: Strong analytical and problem-solving skills. Experience in requirements gathering, documentation, and management. Familiarity with project management methodologies such as Agile or Waterfall. Proficiency with business intelligence (BI) tools such as Tableau, Power BI, or QlikView. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Nice-to-have skills Qualifications Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred .