20516 Visualization Jobs - Page 40

Job Title: Rev Ops Analyst Job Description About Concentrix Concentrix Corporation (Nasdaq: CNXC), is a leading global provider of customer experience (CX) solutions and technology, improving business performance for some of the world’s best brands including over 100 Fortune Global 500 clients and over 115 global disruptor clients. Every day, from more than 40 countries and across 6 continents, our staff delivers next generation customer experience and helps companies better connect with their customers. We create better business outcomes and help differentiate our clients through technology, design, data, process, and people. Concentrix provides services to clients in our key industry verticals: technology & consumer electronics; retail, travel & ecommerce; banking, financial services & insurance; healthcare; communications & media; automotive; and energy & public sector. Visit www.concentrix.com to learn more. About Concentrix Analytics: Our global analytics team, with deep industry expertise inspires intelligent change by infusing “Analytics First” philosophy into multiple businesses. We bring in best-in-class analytics delivery to the organizations in different industries and help them wield data and analytics as a competitive armor, operational accelerant, and innovation catalyst. We provide a plethora of analytics solutions such as Customer Experience analysis, Speech &Text Insights, Operational analytics, Journey analytics, Social Media analytics, Collection Analytics, Payment Integrity, Revenue & Sales Analytics, driving relevant business impact to our customers. With more than 15 years of data mining and visualization experience, we serve hundreds of clients including many Fortune 500 companies across the globe. We have been recognized among the top 50 Market Research and Analytics companies by GreenBook for four consecutive years, positioned as a leader in the 2019 Everest Group (CX) Analytics Services PEAK Matrix™, recognized by Forrester as a strong performer receiving the highest score possible in seven criteria in The Forrester Wave™ in 2020 and the Best in Biz Awards North America has recognized Concentrix Analytics and Consulting’s Banking Industry Collection Analytics offering as the Most Innovative Service of the Year 2021. For more information, please visit Analytics & Consulting | Concentrix The RevOps Analyst will support various reporting needs, including model building, Tableau/SFDC dashboards, and data preparation in support of the GTM operating cadence (e.g., Monthly Pipeline Review, Win/Loss Analysis, etc.)s. This role involves generating reports, supporting data management tasks, and ensuring data accuracy. The ideal candidate is detail-oriented, proactive, and capable of handling high-volume tasks in a dynamic environment. Key Responsibilities: Model Building: Develop and maintain financial and operational models to support business decision-making. Ensure models are accurate, up-to-date, and aligned with business needs. Report Generation and Analysis: Prepare and deliver standard and ad hoc reports, ensuring data accuracy and timely delivery. Support data validation and quality control, working with the onshore teams to align reporting with business needs. Dashboard Creation: Build and maintain Tableau/SFDC dashboards to support RevOps. Ensure dashboards are visually consistent, accurate, and provide actionable insights. Data Management and Quality Assurance: Support data entry and management tasks within CRM systems or other data platforms. Regularly check data for consistency, flagging discrepancies for review and correction. Process Documentation and Improvement: Document operational processes and best practices to ensure efficiency and consistency. Identify and suggest process improvements to enhance operational support. Collaborative Support: Act as a liaison with onshore teams to understand evolving needs and maintain communication on ongoing tasks. Provide assistance for special projects or initiatives as required. Location: IND Pune - Amar Tech Centre S No.30/4A 1 Language Requirements: Time Type: Full time If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents R1639670

Description GPP Database Link (https://cummins365.sharepoint.com/sites/CS38534/) Job Summary Responsible for developing software programs per technical specifications following programming standards and procedures, performing testing, executing program modifications, and responding to problems by diagnosing and correcting errors in logic and coding. Key Responsibilities Applies secure coding and UI standards and best practices to develop, enhance, and maintain IT applications and programs. Assists with efforts to configures, analyzes, designs, develops, and maintains program code and applications. Performs unit testing and secure code testing, and issues resolution. Follow the process for source code management. Participate in integration, systems, and performance testing and tuning of code. Participates in peer secure code reviews. Harvest opportunities for re-usability of code, configurations, procedures, and techniques. Responsibilities Competencies: Action oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm. Balances stakeholders - Anticipating and balancing the needs of multiple stakeholders. Business insight - Applying knowledge of business and the marketplace to advance the organization’s goals. Drives results - Consistently achieving results, even under tough circumstances. Plans and aligns - Planning and prioritizing work to meet commitments aligned with organizational goals. Tech savvy - Anticipating and adopting innovations in business-building digital and technology applications. Performance Tuning - Conceptualizes, analyzes and solves application, database and hardware problems using industry standards and tools, version control, and build and test automation to meet business, technical, security, governance and compliance requirements. Programming - Creates, writes and tests computer code, test scripts, and build scripts using algorithmic analysis and design, industry standards and tools, version control, and build and test automation to meet business, technical, security, governance and compliance requirements. Solution Configuration - Configures, creates and tests a solution for commercial off-the-shelf (COTS) applications using industry standards and tools, version control, and build and test automation to meet business, technical, security, governance and compliance requirements. Solution Functional Fit Analysis - Composes and decomposes a system into its component parts using procedures, tools and work aides for the purpose of studying how well the component parts were designed, purchased and configured to interact holistically to meet business, technical, security, governance and compliance requirements. Solution Validation Testing - Validates a configuration item change or solution using the Function's defined best practices, including the Systems Development Life Cycle (SDLC) standards, tools and metrics, to ensure that it works as designed and meets customer requirements. Values differences - Recognizing the value that different perspectives and cultures bring to an organization. Education, Licenses, Certifications College, university, or equivalent degree in Computer Science, Information Technology, Business, or related subject, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations. Experience Intermediate level of relevant work experience required. 3-5 years of experience. Qualifications Candidate must have working hands on experience of more than 3 years as a Salesforce developer in Classic or Lightning Web Component. Able to migrate custom components to Lightning Web Component. Knowledge on Angular framework, Java. Code analysis tools to analyze custom codes and their efficiency Design solution on the principles of configuration and use of OOB features to ensure scalability of the org. Use Lightning Flows to Automate some of processing needs Bachelor’s degree - ideally in Computer Science, Engineering or MIS 4+ years of experience in Force.com/Lightning/LWC/Apex, CICD/COPADO/jenkins/DevOps is mandatory Experience with the Salesforce.com platform. Sales Cloud, Service Cloud, CPQ, Experience Cloud etc Experience with Lightning Pages, Visualforce, Triggers, SOQL, SOSL, API, Flows, LWC, Web Services (SOAP & REST) Salesforce Certified Platform Developer-I & II , Salesforce Certified App Builder" Proficiency in data manipulation and analysis using SQL. Experience with Angular framework/Java. Experience with data visualization tools like Tableau, Power BI, or similar. Good to have Airflow, Tableau Agile Methodologies and well versed with GUS/JIRA Strong communication skills to be able to communicate at all levels. Should have a proactive approach to problem-solving. Follow release management CI/CD code deployment process to migrate the code changes Attend the daily scrum calls and working in Global model Familiarity with Javascript, CSS, Splunk Analytics Visual Studio Code/GitHub/Versioning/Packaging Job Systems/Information Technology Organization Cummins Inc. Role Category Hybrid Job Type Exempt - Experienced ReqID 2417818 Relocation Package Yes

Description GPP Database Link (https://cummins365.sharepoint.com/sites/CS38534/) Job Summary Responsible for developing software programs per technical specifications following programming standards and procedures, performing testing, executing program modifications, and responding to problems by diagnosing and correcting errors in logic and coding. Key Responsibilities Applies secure coding and UI standards and best practices to develop, enhance, and maintain IT applications and programs. Assists with efforts to configures, analyzes, designs, develops, and maintains program code and applications. Performs unit testing and secure code testing, and issues resolution. Follow the process for source code management. Participate in integration, systems, and performance testing and tuning of code. Participates in peer secure code reviews. Harvest opportunities for re-usability of code, configurations, procedures, and techniques. Responsibilities Competencies: Action oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm. Balances stakeholders - Anticipating and balancing the needs of multiple stakeholders. Business insight - Applying knowledge of business and the marketplace to advance the organization’s goals. Drives results - Consistently achieving results, even under tough circumstances. Plans and aligns - Planning and prioritizing work to meet commitments aligned with organizational goals. Tech savvy - Anticipating and adopting innovations in business-building digital and technology applications. Performance Tuning - Conceptualizes, analyzes and solves application, database and hardware problems using industry standards and tools, version control, and build and test automation to meet business, technical, security, governance and compliance requirements. Programming - Creates, writes and tests computer code, test scripts, and build scripts using algorithmic analysis and design, industry standards and tools, version control, and build and test automation to meet business, technical, security, governance and compliance requirements. Solution Configuration - Configures, creates and tests a solution for commercial off-the-shelf (COTS) applications using industry standards and tools, version control, and build and test automation to meet business, technical, security, governance and compliance requirements. Solution Functional Fit Analysis - Composes and decomposes a system into its component parts using procedures, tools and work aides for the purpose of studying how well the component parts were designed, purchased and configured to interact holistically to meet business, technical, security, governance and compliance requirements. Solution Validation Testing - Validates a configuration item change or solution using the Function's defined best practices, including the Systems Development Life Cycle (SDLC) standards, tools and metrics, to ensure that it works as designed and meets customer requirements. Values differences - Recognizing the value that different perspectives and cultures bring to an organization. Education, Licenses, Certifications College, university, or equivalent degree in Computer Science, Information Technology, Business, or related subject, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations. Experience Intermediate level of relevant work experience required. 3-5 years of experience. Qualifications Candidate must have working hands on experience of more than 3 years as a Salesforce developer in Classic or Lightning Web Component. Able to migrate custom components to Lightning Web Component. Knowledge on Angular framework, Java. Code analysis tools to analyze custom codes and their efficiency Design solution on the principles of configuration and use of OOB features to ensure scalability of the org. Use Lightning Flows to Automate some of processing needs Bachelor’s degree - ideally in Computer Science, Engineering or MIS 6+ years of experience in Force.com/Lightning/LWC/Apex, CICD/COPADO/jenkins/DevOps is mandatory Experience with the Salesforce.com platform. Sales Cloud, Service Cloud, CPQ, Experience Cloud etc Experience with Lightning Pages, Visualforce, Triggers, SOQL, SOSL, API, Flows, LWC, Web Services (SOAP & REST) Salesforce Certified Platform Developer-I & II , Salesforce Certified App Builder" Proficiency in data manipulation and analysis using SQL. Experience with Angular framework/Java. Experience with data visualization tools like Tableau, Power BI, or similar. Good to have Airflow, Tableau Agile Methodologies and well versed with GUS/JIRA Strong communication skills to be able to communicate at all levels. Should have a proactive approach to problem-solving. Follow release management CI/CD code deployment process to migrate the code changes Attend the daily scrum calls and working in Global model Familiarity with Javascript, CSS, Splunk Analytics Visual Studio Code/GitHub/Versioning/Packaging Job Systems/Information Technology Organization Cummins Inc. Role Category Hybrid Job Type Exempt - Experienced ReqID 2417820 Relocation Package Yes

Your Future Evolves Here Evolent Health has a bold mission to change the health of the nation by changing the way health care is delivered. Our pursuit of this mission is the driving force that brings us to work each day. We believe in embracing new ideas, challenging ourselves and failing forward. We respect and celebrate individual talents and team wins. We have fun while working hard and Evolenteers often make a difference working in everything from scrubs to jeans. Are we growing? Absolutely and Globally. In 2021 we grew our teams by almost 50% and continue to grow even more in 2022. Are we recognized as a company you are supported by for your career and growth, and a great place to work? Definitely. Evolent Health International (Pune, India) has been certified as “Great Places to Work” in 2021. In 2020 and 2021 Evolent in the U.S. was both named Best Company for Women to Advance list by Parity.org and earned a perfect score on the Human Rights Campaign (HRC) Foundation’s Corporate Equality Index (CEI). This index is the nation's foremost benchmarking survey and report measuring corporate policies and practices related to LGBTQ+ workplace equality. We recognize employees that live our values, give back to our communities each year, and are champions for bringing our whole selves to work each day. If you’re looking for a place where your work can be personally and professionally rewarding, don’t just join a company with a mission. Join a mission with a company behind it. What You’ll Be Doing: Job Summary Design and develop BI reporting and data platforms. Creates the development of user-facing data visualization and presentation tools, including Microsoft SQL Server Reporting Services (SSRS) reports, Power BI dashboards, MicroStrategy and Excel PivotTables. Work on the development of data retrieval and data management for Evolent Health. Responsible for ensuring that the data assets of an organization are aligned with the organization in achieving its strategic goals. The architecture should cover databases, data integration and the means to get to the data. Help implement effective business analytics practices to enhance decision-making, efficiency, and performance. Assist with technology improvements to ensure continuous enhancements of the core BI platform. Data Analysis: Ability to perform complex data analysis using advanced SQL skills and Excel to support internal /external client’s data requests and queries for ad-hoc requests for business continuity and analytics. Communicate with non-technical business users to gather specific requirements for reports and BI solutions. Provide maintenance support for existing BI applications and reports Present work when requested and participate in knowledge-sharing sessions with team members. Required Qualifications 3-5 years of experience in BI/ Data Warehouse domain developing BI solutions and data analysis tasks using MSBI suites. Strong proficiency in Power BI: building reports, dashboards, DAX, and Power Query (M). Experience with Microsoft Fabric, including Lakehouse, Dataflows Gen2, and Direct Lake capabilities, Power Automate. Experience with Azure Data Services: Azure Data Factory, Azure Synapse, Azure Data Lake, or similar. Hands-on experience with SQL Server Reporting Services (SSRS) and SQL Server Integration Services (SSIS). Knowledge of Advanced SQL for data manipulation and performance tuning. Experience implementing ETL/ELT pipelines. Ability to work with both relational and cloud-based data sources. Preferred Qualifications Healthcare industry experience with exposure to authorizations/claims/eligibility and patient clinical data Experience with Python, Spark, or Databricks for data engineering or transformation. Familiarity with DevOps/GitRepo for BI, including deployment automation and CI/CD in Azure DevOps. Understanding of data governance, security models, and compliance. Experience with semantic modeling in Power BI and/or tabular models using Analysis Services. Exposure to AI and machine learning integrations within Microsoft Fabric or Azure. Experience with Power Apps, Microsoft purview Mandatory Requirements: Employees must have a high-speed broadband internet connection with a minimum speed of 50 Mbps and the ability to set up a wired connection to their home network to ensure effective remote work. These requirements may be updated as needed by the business. Evolent Health is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status .

Assoicate AIML Engineer– Global Data Analytics, Technology (Maersk) This position will be based in India – Bangalore/Pune A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. We are responsible for moving 20 % of global trade & is on a mission to become the Global Integrator of Container Logistics. To achieve this, we are transforming into an industrial digital giant by combining our assets across air, land, ocean, and ports with our growing portfolio of digital assets to connect and simplify our customer’s supply chain through global end-to-end solutions, all the while rethinking the way we engage with customers and partners. The Brief In this role as an Associate AIML Engineer on the Global Data and Analytics (GDA) team, you will support the development of strategic, visibility-driven recommendation systems that serve both internal stakeholders and external customers. This initiative aims to deliver actionable insights that enhance supply chain execution, support strategic decision-making, and enable innovative service offerings. Data AI/ML (Artificial Intelligence and Machine Learning) Engineering involves the use of algorithms and statistical models to enable systems to analyse data, learn patterns, and make data-driven predictions or decisions without explicit human programming. AI/ML applications leverage vast amounts of data to identify insights, automate processes, and solve complex problems across a wide range of fields, including healthcare, finance, e-commerce, and more. AI/ML processes transform raw data into actionable intelligence, enabling automation, predictive analytics, and intelligent solutions. Data AI/ML combines advanced statistical modelling, computational power, and data engineering to build intelligent systems that can learn, adapt, and automate decisions. What I'll be doing – your accountabilities? Build and maintain machine learning models for various applications, such as natural language processing, computer vision, and recommendation systems Perform exploratory data analysis (EDA) to identify patterns and trends in data Clean, preprocess, perform hyperparameter tuning and analyze large datasets to prepare them for AI/ML model training Build, test, and optimize machine learning models and experiment with algorithms and frameworks to improve model performance Use programming languages, machine learning frameworks and libraries, algorithms, data structures, statistics and databases to optimize and fine-tune machine learning models to ensure scalability and efficiency Learn to define user requirements and align solutions with business needs Work on AI/ML engineering projects, perform feature engineering and collaborate with teams to understand business problems Learn best practices in data / AI/ML engineering and performance optimization Contribute to research papers and technical documentation Contribute to project documentation and maintain data quality standards Foundational Skills Understands Programming skills beyond the fundamentals and can demonstrate this skill in most situations without guidance. Understands the below skills beyond the fundamentals and can demonstrate in most situations without guidance AI & Machine Learning Data Analysis Machine Learning Pipelines Model Deployment Specialized Skills To be able to understand beyond the fundamentals and can demonstrate in most situations without guidance for the following skills: Deep Learning Statistical Analysis Data Engineering Big Data Technologies Natural Language Processing (NPL) Data Architecture Data Processing Frameworks Proficiency in Python programming. Proficiency in Python-based statistical analysis and data visualization tool While having limited understanding of Technical Documentation but are focused on growing this skill Qualifications & Requirements BSc/MSc/PhD in computer science, data science or related discipline with 5+ years of industry experience building cloud-based ML solutions for production at scale, including solution architecture and solution design experience Good problem solving skills, for both technical and non-technical domains Good broad understanding of ML and statistics covering standard ML for regression and classification, forecasting and time-series modeling, deep learning 3+ years of hands-on experience building ML solutions in Python, incl knowledge of common python data science libraries (e.g. scikit-learn, PyTorch, etc) Hands-on experience building end-to-end data products based on AI/ML technologies Some experience with scenario simulations. Experience with collaborative development workflow: version control (we use github), code reviews, DevOps (incl automated testing), CI/CD Team player, eager to collaborate and good collaborator Preferred Experiences In addition to basic qualifications, would be great if you have… Hands-on experience with common OR solvers such as Gurobi Experience with a common dashboarding technology (we use PowerBI) or web-based frontend such as Dash, Streamlit, etc. Experience working in cross-functional product engineering teams following agile development methodologies (scrum/Kanban/…) Experience with Spark and distributed computing Strong hands-on experience with MLOps solutions, including open-source solutions. Experience with cloud-based orchestration technologies, e.g. Airflow, KubeFlow, etc Experience with containerization (Kubernetes & Docker) As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

Job Role: We are seeking a highly skilled and experienced Data Architect with expertise in designing and building data platforms in cloud environments. The ideal candidate will have a strong background in either AWS Data Engineering or Azure Data Engineering, along with proficiency in distributed data processing systems like Spark. Additionally, proficiency in SQL, data modeling, building data warehouses, and knowledge of ingestion tools and data governance are essential for this role. The Data Architect will also need experience with orchestration tools such as Airflow or Dagster and proficiency in Python, with knowledge of Pandas being beneficial. ‍ Why Choose Ideas2IT Ideas2IT has all the good attributes of a product startup and a services company. Since we launch our products, you will have ample opportunities to learn and contribute. However, single-product companies stagnate in the technologies they use. In our multiple product initiatives and customer-facing projects, you will have the opportunity to work on various technologies. AGI is going to change the world. Big companies like Microsoft are betting heavily on this (see here and here). We are following suit. ‍ What’s in it for you?‍ You will get to work on impactful products instead of back-office applications for the likes of customers like Facebook, Siemens, Roche, and more You will get to work on interesting projects like the Cloud AI platform for personalized cancer treatment Opportunity to continuously learn newer technologies Freedom to bring your ideas to the table and make a difference, instead of being a small cog in a big wheel Showcase your talent in Shark Tanks and Hackathons conducted in the company ‍ ‍Here’s what you’ll bring‍ Experience in designing and building data platforms in any cloud. Strong expertise in either AWS Data Engineering or Azure Data Engineering Develop and optimize data processing pipelines using distributed systems like Spark. • Create and maintain data models to support efficient storage and retrieval. Build and optimize data warehouses for analytical and reporting purposes, utilizing technologies such as Postgres, Redshift, Snowflake, etc. Knowledge of ingestion tools such as Apache Kafka, Apache Nifi, AWS Glue, or Azure Data Factory. Establish and enforce data governance policies and procedures to ensure data quality and security. Utilize orchestration tools like Airflow or Dagster to schedule and manage data workflows. Develop scripts and applications in Python to automate tasks and processes. Collaborate with stakeholders to gather requirements and translate them into technical specifications. Communicate technical solutions effectively to clients and stakeholders. Familiarity with multiple cloud ecosystems such as AWS, Azure, and Google Cloud Platform (GCP). Experience with containerization and orchestration technologies like Docker and Kubernetes. Knowledge of machine learning and data science concepts. Experience with data visualization tools such as Tableau or Power BI. Understanding of DevOps principles and practices. ‍ About Us: Ideas2IT stands at the intersection of Technology, Business, and Product Engineering, offering high-caliber Product Development services. Initially conceived as a CTO consulting firm, we've evolved into thought leaders in cutting-edge technologies such as Generative AI, assisting our clients in embracing innovation. Our forte lies in applying technology to address business needs, demonstrated by our track record of developing AI-driven solutions for industry giants like Facebook, Bloomberg, Siemens, Roche, and others. Harnessing our product-centric approach, we've incubated several AI-based startups—including Pipecandy, Element5, IdeaRx, and Carefi. in—that have flourished into successful ventures backed by venture capital. With fourteen years of remarkable growth behind us, we're steadfast in pursuing ambitious objectives.

Business Reporting & Analytics Role description: Market Ecosystems (ME) vertical is the central focal team that engages with all verticals to ensure enhanced client experience and entrenchment. Opportunity with CRM and Analytics team – List of responsibilities and duties: Key Responsibilities: Data and Reporting: Review leads/ opportunities and provide business intelligence driven insights Client Analysis: Delve deep into client acceptance and evaluation process, and drive discussions with leadership around actionables / next steps Provide business reporting support to leadership across various expertise areas, to help them understand key performance metrics and drive performance improvement Working on operational requirements of allied BU’s like as Legal Risk, Quality Management team etc, and provide insightful solutions Skills Required: Must have: Highly proficient in MS Office suite especially, Excel, PPT and Word Background in data management, MIS and data governance with an ability to work with teams and see the scope of improving data processes and data quality Excellent written and verbal communication skills Experience in providing support to senior leadership Good to have: Experience in developing reporting dashboards using data visualization tools such as Power BI, Tableau, Advanced Excel Collaboration: Working cohesively with Teams, provide outputs on short TAT

Description Process & Client Service Management Team Supervision: Oversee daily activities of team members, ensuring timely and accurate completion of tasks. Guidance & Support: Provide coaching, mentorship, and constructive feedback to enhance employee performance and development. Communication Facilitation: Serve as a liaison between upper management and the team to ensure clear and effective communication. Resource Allocation: Ensure the team is equipped with the necessary tools, equipment, and resources to perform their duties efficiently. Leadership & Motivation: Inspire and lead the team to meet and exceed performance targets and organizational goals. Resource Management: Plan and manage resources effectively to optimize productivity and minimize waste. Recruitment Assistance: Support hiring processes including interviewing, onboarding, and training new team members. Compliance Oversight: Monitor adherence to company policies, standards, and regulatory requirements within the team. Reporting: Prepare and present regular reports on team performance, progress, and key metrics to management. Risk Management: Identify potential risks within projects or team operations and implement mitigation strategies. Continuous Improvement: Foster a culture of innovation by encouraging process improvements and operational excellence initiatives. Escalation Management: Handle escalations promptly by collaborating with stakeholders and leading root cause analysis to prevent recurrence. Process Improvement: Develop a deep understanding of technical processes to recommend and drive enhancements that support long-term operational efficiency. Project Management: Lead projects from initiation through completion, ensuring delivery within scope, schedule, budget, and quality standards. KPI Management Support the maintenance of process controls by monitoring Key Performance Indicator (KPI) metrics to ensure alignment with regulatory requirements and internal standards. Prioritize and organize tasks effectively in line with business objectives and priorities. Manage employee performance by regularly tracking progress, evaluating outcomes, and addressing any performance concerns proactively. Developing Talent Training and Development Identify training needs and oversee skill development for new and existing team members. Manage and monitor training programs, evaluate their effectiveness, and facilitate internal learning initiatives. Performance Management Conduct regular performance reviews, provide constructive feedback, and set development goals. Team Building Organize team-building activities to enhance team cohesion and morale. Conflict Management Address and resolve conflicts within the team promptly and effectively. Recruitment & Onboarding Participate in recruitment efforts, including interviewing candidates and onboarding new hires as needed. Employee Engagement Foster a positive work environment by engaging with team members and addressing their needs and concerns. Qualifications Skills: Client Relationship Management: Ability to maintain and nurture relationships Stakeholder Management: Collaborating with stakeholders to manage escalations. Technical Expertise: In-depth understanding of process technicalities. Teamwork: Ability to work effectively with various functional and advocacy teams. Communication: Strong verbal and written (Email writing) communication skills. Interpersonal Skills: Ability to build and maintain professional relationships. Strategic Alignment: Aligning service strategies with client objectives. Analytical Skills: Ability to analyse, interpret & drive KPI metrics. Organizational Skills: Prioritizing and organizing work according to business priorities. Problem-Solving: Effective in identifying and resolving issues. Continuous Improvement: Ability to recommend and drive process improvements. Project Planning: Ability to oversee projects from initiation to completion. Time Management: Ensuring projects are delivered on time and within budget. Coaching Skills: Ability to train and mentor team members. Supportive Leadership: Encouraging team members to pursue certifications. Feedback Skills: Providing constructive feedback. Goal Setting: Setting and monitoring development goals. Motivational Skills: Organizing activities to enhance team cohesion. Morale Building: Fostering a positive team environment. Mediation Skills: Addressing and resolving conflicts effectively. Empathy: Understanding and addressing team members' concerns. Interviewing Skills: Participating in the recruitment process. Engagement Strategies: Fostering a positive work environment. Active Listening: Engaging with team members to understand their needs. Knowledge Good working knowledge of Microsoft office Qualification Graduate Minimum bachelor’s degree required Certification on project management, advance visualization applications would be an advantage

We are seeking a detail-oriented Business Analyst with a strong background in Salesforce CRM to join our team. You will play a crucial role in bridging the gap between business needs and technical solutions, ensuring that data-driven insights are effectively utilized across the organization. Key Responsibilities 10+ years’ experience as a Salesforce Business Analyst with multi-cloud environment experience. Proven success in defining, developing, and launching successful products in a fast-paced, enterprise-grade environment. Strong ability to partner day-in and day-out with Development Engineers, Quality Engineers, User Experience specialists, and Business Analysts to provide clear direction, prioritization and detailed user stories Knowledge of Salesforce AppExchange products and third-party integrations Drive continuous improvement by streamlining configuration, identifying automation opportunities and reducing technical debt Experience in green filed implementation of Salesforce Programs with focus on Sales, Service, Experience and Marketing Cloud Experience in system implementation including data migration, testing, training, and reporting Experience with Salesforce integration with Enterprise Systems (e.g. Operations, ERP) Experience with Salesforce configuration and design best practices, including Flows, Process builder, reports, Dashboards and Permission Sets Salesforce Certifications (such as Sales Cloud Consultant, Service Cloud Consultant, Salesforce Business Analyst) Be Part Of An Extraordinary Story Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You’ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community. Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what’s never been done before. Together, everything is possible. Job Posting Jul 31, 2025, 4:11:14 PM Knowledge of airline domain Certifications in Agile like PSPO, PSM, CSPO, CSM, or similar, is considered a plus Certifications in Business Analysis such as PMI-PBA, CBAP, IIBA-AAC, IIBA-CBDA, or others Experience with statistical analysis and predictive modeling Strong attention to detail and accuracy. Excellent communication and collaboration skills. Experience with data visualization and reporting. Excellent analytical and problem-solving skills. About You The applicant should have a bachelor’s degree or equivalent (Degree in engineering, computer applications, commerce, or business administration). You must have minimum 5 years of relevant experience. Should have excellent verbal and written communications skills. Also possess good analytical, interpersonal skills and a proven team player. About Qatar Airways Group Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We’ve grown fast, broken records and set trends that others follow. We don’t slow down by the fear of failure. Instead, we dare to achieve what’s never been done before. So whether you’re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community. How To Apply If you’re ready to join a progressive team and have a challenging and rewarding career, then apply now by uploading your CV and completing our quick application form.

About Marriott: Marriott Tech Accelerator is part of Marriott International, a global leader in hospitality. Marriott International, Inc. is a leading American multinational company that operates a vast array of lodging brands, including hotels and residential properties. It consists of over 30 well-known brands and nearly 8,900 properties situated in 141 countries and territories. Role Title: Security Data Scientist Position Summary: Marriott International’s Global Information Security is seeking an experienced Security Data Scientist who can combine expertise in cybersecurity with data science skills to analyze and protect Marriott’s digital assets. Job Responsibilities: Perform data cleaning, analysis, and modeling tasks Work under guidance of senior team members to: Analyze large datasets related to cybersecurity threats and incidents implement existing machine learning models and algorithms to detect anomalies and potential security breaches Support SDL tools (e.g., big data, ML/AI technologies) Create data visualizations and reports to communicate insights to stakeholders Collaborate with cybersecurity teams to implement data-driven security solutions Stay up to date with the latest cyber threats and data science techniques Help to maintain and document SDL MLOps processes and procedures. Skill and Experience: 2-4 years of data science, data analytics, data management, and/or information security experience that includes: 2+ years of experience in data science/data analytics in an enterprise environment 1+ years of experience in information protection / information security. Strong background in statistics, mathematics, and software engineering (e.g., Proficiency in Python, R) Experience with machine learning algorithms and frameworks as well as AI techniques Knowledge of cybersecurity principles, tools, and best practices Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies Understanding of data visualization tools like Power BI Preferred: Programming languages: Python, R, SQL Machine learning frameworks: TensorFlow, PyTorch, scikit-learn Big data technologies: Hadoop, Spark, and Kafka Cloud platforms: AWS, Azure, GCP Data visualization tools: Tableau, Power BI Relevant certifications such as data science certifications, CISSP, CEH. Verbal and written communication skills Education and Certifications: Bachelor’s degree in computer / data science, information management, Cybersecurity or related field or equivalent experience / certification Work location: Hyderabad, India. Work mode: Hybrid

This role is for one of the Weekday's clients Salary range: Rs 400000 - Rs 600000 (ie INR 4-6 LPA) Min Experience: 3 years Location: Remote (India) JobType: full-time We are looking for an experienced and technically proficient professional to join as a Technical Manager focused on CPaaS (Communications Platform as a Service). The ideal candidate will have a solid background in the telecom or messaging industry, with hands-on experience in databases, APIs, and server operations. This role demands both technical expertise and the ability to manage shifting priorities across multiple projects. Requirements Key Skills & Experience Required: Industry Experience: 3 to 6 years in a technical role within the CPaaS, telecom, or messaging domain. Database Proficiency: Strong knowledge of SQL with the ability to write and optimize complex queries (SELECT, INSERT, UPDATE, DELETE). Linux Expertise: Comfortable navigating and operating in Linux/command-line environments. API Integration: Hands-on experience working with REST APIs, including usage of tools such as Postman or Insomnia. Server Management: Proficient in using SSH to access and operate on remote servers securely. Database Tools: Familiarity with tools like DBeaver, MySQL Workbench, and pgAdmin for database management and visualization. System Architecture Understanding: Sound understanding of how frontend, backend, and databases interact in modern web applications. Project Management: Ability to effectively manage multiple concurrent projects and adapt to changing priorities. Communication & Problem Solving: Excellent analytical thinking and communication skills, with a proactive approach to troubleshooting and issue resolution

Woxsen University is seeking to appoint an eminent academic leader as a Professor of Business Analytics. In an era defined by data, this role is critical to the university's mission of preparing future leaders to excel in a digital-first world. We are looking for a visionary scholar who will champion the university's intellectual agenda in Business Analytics, Data Science, and AI. The successful candidate will lead pioneering research, deliver a state-of-the-art curriculum, and build strong ties with the technology and analytics industry. This is a premier opportunity to shape the future of business education and research in one of India’s most dynamic universities. 3. Key Responsibilities The role is structured around the three pillars of academic contribution: Research, Teaching, and Institutional Leadership. A. Research and Scholarship: Lead and conduct world-class, impactful research in key areas of Business Analytics, such as Machine Learning applications in business, AI Strategy, Predictive Modeling, Big Data Analytics, Data Visualization, or Prescriptive Analytics. Consistently publish in top-tier, peer-reviewed international journals (e.g., FT50, ABDC A*/A, leading Information Systems/Data Science journals). Secure significant external research funding from government bodies, international agencies, and corporate partners to establish a Centre of Excellence in Analytics. Disseminate research findings at premier international conferences, contributing to Woxsen’s global academic visibility. Foster a collaborative, interdisciplinary research environment, particularly bridging the School of Business and the School of Technology. B. Teaching and Mentorship: Design, develop, and teach advanced courses in Business Analytics at the undergraduate, postgraduate (MBA), and doctoral levels. Potential topics include Predictive Analytics, Machine Learning for Business, AI Strategy, and Big Data Technologies. Provide high-quality supervision and mentorship to Ph.D. students and master's candidates, guiding their research to successful and impactful completion. Deliver specialized workshops and modules for Executive Education, empowering industry leaders with cutting-edge analytics skills using tools like Python, R, SQL, and Tableau. Champion innovative, hands-on pedagogy, incorporating real-world datasets, industry case studies, and live projects into the curriculum. C. Leadership and Institutional Service: Provide intellectual and strategic leadership for the Business Analytics domain within the School of Business and across the university. Play a central role in curriculum design and program development to ensure Woxsen remains at the forefront of analytics education. Build and maintain strong relationships with leading companies in the technology, consulting, and finance sectors to facilitate student internships, placements, and collaborative research. Serve as a public intellectual for the university, offering expert commentary and thought leadership on the role of data and AI in the modern economy. Actively participate in faculty governance, university committees, and strategic initiatives that advance Woxsen's mission. 4. Qualifications and Experience Essential: A Ph.D. from a globally recognized university in Business Analytics, Data Science, Information Systems, Computer Science, Statistics, or a closely related quantitative field. A minimum of 10 years of post-Ph.D. teaching and/or research experience, with a distinguished record appropriate for appointment at the Professor rank. An exceptional and sustained publication record in top-tier, internationally recognized academic journals. A proven history of attracting and managing external research grants. Demonstrated excellence in teaching at the university level, with experience in supervising doctoral students to completion. An established international reputation and a robust professional network in the field of data science and analytics.

About Us nCircle Tech Private Limited (Incorporated in 2012) empowers passionate innovators to create impactful 3D visualization software for desktop, mobile and cloud. Our domain expertise in CAD and BIM customization is driving automation with the ability to integrate advanced technologies like AI/ML and AR/VR, which empowers our clients to reduce time to market and meet business goals. nCircle has a proven track record of technology consulting and advisory services for AEC and Manufacturing industry across the globe. Our team of dedicated engineers, partner ecosystem and industry veterans are on a mission to redefine how you design and visualize. Job Description Required Skills: Should have minimum 4 to 5 years of experience in selling IT Services for Web and Mobile applications. Should have experience in sales for international market like UK, Europe Should have good understanding about IT Services Should have prior experience in team management Should be able to work as an individual contributor Willingness to travel as required. Responsibilities Explore New Revenue Generation Avenues through Sales Partnerships/Channels Business Development & Marketing Budgeting Process Mapping and Adherence Active Lead Generation Championing Lead Generation Marketing & Branding Strategies check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

About Us nCircle Tech Private Limited (Incorporated in 2012) empowers passionate innovators to create impactful 3D visualization software for desktop, mobile and cloud. Our domain expertise in CAD and BIM customization is driving automation with the ability to integrate advanced technologies like AI/ML and AR/VR, which empowers our clients to reduce time to market and meet business goals. nCircle has a proven track record of technology consulting and advisory services for AEC and Manufacturing industry across the globe. Our team of dedicated engineers, partner ecosystem and industry veterans are on a mission to redefine how you design and visualize. Responsibilities Job Description Participate in the development efforts of the cloud-based SaaS solution from the scratch. Be part of an agile team possessing end-to-end responsibility for design, development, testing, deployment, maintenance, support and other tasks that guarantee delivery of the high-quality software and within defined timeframes, focusing (but not limited to) back-end development tasks Work in startup environment, building POC and demo to stakeholders, respond to feedback and finally build the deployable solution for the customers Learn new software and technologies quickly Provide recommendations on the technology and architecture Qualifications BE/BTech/MTech degree. At least 3 years of full stack development and design experience in enterprise-scale SaaS products through the full development cycle – from requirements to production release and customer support. Should be very strong in Java Scripts, NodeJS, Express, ReactJS or Front end technologies Practical experience in: Micro-services architecture REST API design and implementation Excellent communication skills check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

Job Summary: The Core Data Product Analyst will be responsible for analyzing and interpreting complex data sets to help drive strategic decision-making and product development related to our investment data management platform. Reporting to a senior product leader, this role will collaborate closely with internal stakeholders and clients to ensure that data management solutions meet user needs and business objectives. The Analyst will also contribute to identifying trends and insights that can inform our product roadmap and improve user experience. Responsibilities: Collaborate with product managers to define data requirements and support the development of analytical models. Conduct data analysis to identify trends, issues, and opportunities that can enhance product performance. Generate reports and dashboards that provide actionable insights to stakeholders. Advocate for a culture of data-driven decision-making within the organization. Work with engineering teams to ensure data integrity and accuracy in product development. Support the prioritization of product features based on data analysis and user feedback. Required Skills: Prior experience in Investment management industry with strong knowledge of Security Reference, Trade, Analytics, Pricing, Accounting (ABOR/IBOR), Performance, Risk, Custody data domains is a must have. Knowledge of capital markets and expertise in equity, fixed income, and derivatives is key. 3-6 years of experience in data analysis or a related field, preferably within the investment management industry. Strong understanding of data management principles, including data governance and data quality processes. Proficient with SQL, Excel, and data visualization tools (e.g., Tableau, Power BI). Familiarity with capital markets and financial data domains. Excellent analytical problem-solving skills and attention to detail. Strong communication skills, with the ability to convey complex information clearly to diverse audiences. Ability to work effectively in a fast-paced environment and handle multiple projects simultaneously. Experience with cloud platforms (AWS/Azure/GCP) and relational or NoSQL databases is a plus. Knowledge of Snowflake is appreciated. Education Background: Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. Master's degree is a plus. Nice to have: Experience working in alternative asset management or related financial services. Knowledge of machine learning techniques and their application in data analytics. Exposure to working with portfolio managers, traders, and researchers is valuable.

Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results. How You Will Contribute You will: Work in close partnership with the business leadership team to execute the analytics agenda Identify and incubate best-in-class external partners to drive delivery on strategic projects Develop custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance Execute the business analytics program agenda using a methodical approach that conveys to stakeholders what business analytics will deliver What You Will Bring A desire to drive your future and accelerate your career and the following experience and knowledge: Using data analysis to make recommendations to senior leaders Technical experience in roles in best-in-class analytics practices Experience deploying new analytical approaches in a complex and highly matrixed organization Savvy in usage of the analytics techniques to create business impacts Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. Together with various commercial teams and leaders you will support our business with Data & Analytics capabilities at scale to help the company make faster and smarter business decisions. How You Will Contribute You will be: Developing foundational analytics capabilities across pricing, promotions, trade investment, in store execution, call planning—enabling more informed, strategic choices by customer and channel. Maintaining and operationalizing data assets, ensuring data integrity, and supporting the connection of multiple commercial datasets (e.g., sales, pricing, promotional history) into usable insights. Enabling repeatable processes and standard reports, which are essential for scaling analytics across markets and functions. What You Will Bring A desire to drive your future and accelerate your career and the following experience and knowledge: Using data and analytics to bring forth capabilities to enable analysis and decision making in the broader organization Technical experience to develop and guide partners to deliver best-in-class solutions Experience deploying new analytical approaches in a complex and highly matrixed organization More About The Organization Data & Analytics (D&A) is a critical enabler for growth across the markets, by leading the Data & Analytics strategic vision & roadmap, building momentum by rallying the rest of the organization, implementing data & analytics identified priorities at scale across AMEA to deliver strong business value across all levels of organization at right cost structure, facilitating and conceptualizing adoption plans as well as continuous improvement plans. The D&A organization has a set of central teams; Data Management, Analytics Products, Center of Enablement and Data Science resources, which should be maximized at the service of the AMEA business priorities – this requires strong collaboration and influencing skills to drive adoption, relevancy, and business impact with speed. This role sits in the regional D&A structure that brings together these practices to deliver value based on an opportunity that is identified in the region. We partner commercial functions; Consumer-Marketing, Customer-Sales, Supply Chain and Finance on the D&A agenda for each function. Building capability within the teams including leading, coaching, guiding, and inspiring the direct and indirect internal & external teams, multifunctional teams in region & business units in order to build a robust ecosystem that can deliver and embed analytics in the identified business processes. What you need to know about this position: A key success driver in this role is to leverage foundational analytics capabilities across pricing, promotions, and trade investment to enable more informed, strategic decisions by customer and channel. The role will involve prototyping and scaling analytics solutions to meet unmet business needs within AMEA and potentially across global markets through collaboration with internal teams or external partners. The role is expected to evolve into a regional expert in commercial data and the market landscape, enabling consultation on the deployment of globally scalable solutions. This includes understanding business needs, translating stakeholder requirements, and ensuring alignment with regional priorities. The analyst will drive end-to-end analytics solutions—from data ingestion and processing to visualization and insights—by conducting workshops and business interviews. This includes defining and operationalizing advanced methodologies and translating data assets (e.g., sales, pricing, promotional history) into actionable insights. The role will also focus on designing and maintaining scalable data products—dashboards, automated reports, and self-serve analytics tools—that deliver business value and empower commercial users to make data-informed decisions with speed and accuracy. Through consultation and training, the analyst will help raise data coverage, usage, accessibility, and literacy across the organization, embedding a data-driven culture within commercial teams. The role will also involve coaching and nurturing an agile and collaborative D&A team, fostering innovation and continuous improvement in analytical approaches. What extra ingredients you will bring: Job specific requirements: Data & Analytics Skills Working Knowledge: Analytics (diagnostic, descriptive, predictive and prescriptive) techniques Practitioner: Data management, for example data integration (ETL) or metadata. Awareness: Data architecture, for example the difference between data warehouse, data lake or data hub. Working Knowledge: Data modelling, for creation of right reusable data assets Awareness: Data governance, for example MDM, data quality and data stewardship practices. Working Knowledge: Statistical skills, for example understanding the difference between correlation and causation. Working Knowledge: Business data, for Customer POS, Media GRP, Shopper Panels, Shipments, Geo-Location, Trade Spend, etc Working Knowledge: UX/design, for example by creating products and visualizations that are easy to work with and support the activities required by the end users Technology Skills Working Knowledge: Programming languages like SQL, Python or R Practitioner: Analytics and Business Intelligence tools like Microsoft Power BI or Tableau. Soft skills to be successful in the role (not a pre-requisite): Leadership with high level of self-initiative and drive, for example leading the discussions on D&A agenda in the region and building a combined vision across multiple stakeholders Communication, for example conveying information to diverse audiences in a way that is easily understood and actionable. Facilitation and conflict resolution, for example hosting sessions to elicit ideas from others, understand their issues and encourage group participation. Creative thinking and being comfortable with unknown or unchartered territories, for example framing new concepts for business teams and brainstorming with business users about future product and services. Teamwork & Collaboration, for example working with both business domain teams as well as D&A teams and stakeholders. Storytelling & influencing, for example by creating a consistent, clear storyline for better understanding and/or to assert ideas and persuading others to gain support across an organization or to adopt new behaviors. Domain skills would be an advantage (not a pre-requisite): Commercial/Sales Acumen, for example understanding business concepts, practices and business domain (RTM/RGM) language to engage in problem solving sessions and discuss business issues in stakeholder language. Project management capabilities to manage a workplan, for example understanding of project management concepts to organize their own work and the ability to collaborate with project managers to align business expectations with the D&A team delivery capabilities. Vendor negotiation and effort estimation skills, for example to manage the right partner skills at right cost based on the complexity and importance of the initiatives to be delivered or supported Education / Certifications: Computer Science graduate with preferred master’s in information management/data science/applied Analytics. Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy Business Unit Summary Headquartered in Singapore, Mondelēz International’s Asia, Middle East and Africa (AMEA) region is comprised of six business units, has more than 21,000 employees and operates in more than 27 countries including Australia, China, Indonesia, Ghana, India, Japan, Malaysia, New Zealand, Nigeria, Philippines, Saudi Arabia, South Africa, Thailand, United Arab Emirates and Vietnam. Seventy-six nationalities work across a network of more than 35 manufacturing plants, three global research and development technical centers and in offices stretching from Auckland, New Zealand to Casablanca, Morocco. Mondelēz International in the AMEA region is the proud maker of global and local iconic brands such as Oreo and belVita biscuits, Kinh Do mooncakes, Cadbury, Cadbury Dairy Milk and Milka chocolate, Halls candy, Stride gum, Tang powdered beverage and Philadelphia cheese. We are also proud to be named a Top Employer in many of our markets. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Analytics & Modelling Analytics & Data Science

Experience: 4–6 Years Job Summary: We need a Senior Tableau Developer with a minimum of 4 years to join our BI team. The ideal candidate will be responsible for designing, developing, and deploying business intelligence solutions using Tableau. Key Responsibilities: Design and develop interactive and insightful Tableau dashboards and visualizations . Optimize dashboards for performance and usability. Work with SQL and data warehouses (Snowflake) to fetch and prepare clean data sets. Gather and analyse business requirements, translate them into functional and technical specifications. Collaborate with cross-functional teams to understand business KPIs and reporting needs. Conduct unit testing and resolve data or performance issues. Strong understanding of data visualization principles and best practices. Tech. Skills Required: 1. Proficient in Tableau Desktop (dashboard development, storyboards) 2. Strong command of SQL (joins, subqueries, CTEs, aggregation) 3. Experience with large data sets and complex queries 4. Experience working on any Data warehouse (Snowflake, Redshift) 5. Excellent analytical and problem-solving skills. mail updated resume with current salary- email: etalenthire@ gmail.com satish: 88O2749743 Job Type: Full-time Pay: ₹592,689.63 - ₹1,919,305.62 per year Schedule: Day shift Ability to commute/relocate: Gurgaon, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Current ctc ? Expected ctc ? Notice period ? current location ? Would you be comfortable with job location (Gurgaon) ? Experience: Tableau: 4 years (Preferred) Tableau Desktop: 4 years (Preferred) SQL: 4 years (Preferred) Work Location: In person

We are looking for an insightful and technically skilled Data Science and Analytics Consultant to join our team on a hybrid, part-time basis. This role suits professionals passionate about transforming complex data into actionable business insights and strategic recommendations. As a Consultant, you will analyze large datasets, develop predictive models, and work closely with clients and internal teams to solve business challenges through data-driven approaches. You will help design and implement analytical frameworks that support decision-making across departments. The hybrid setup allows flexibility to perform deep data analysis remotely while collaborating onsite for key meetings and presentations. Key Responsibilities: Collect, process, and analyze structured and unstructured data from diverse sources. Develop and validate statistical and machine learning models to uncover patterns and forecast trends. Collaborate with clients to understand business problems and translate them into analytical projects. Present insights and recommendations clearly to technical and non-technical stakeholders. Support data visualization efforts and dashboard creation to communicate findings effectively. Assist in data strategy development and implementation to improve data quality and accessibility. Stay current with emerging data science tools, techniques, and best practices. Qualifications: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related field. 3+ years of experience in data science, analytics consulting, or related roles. Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools (Tableau, Power BI, etc.) and cloud platforms is a plus. Strong problem-solving skills and ability to translate data into actionable business solutions. Excellent communication skills and experience presenting to diverse audiences. Ability to manage projects independently in a hybrid work environment. This hybrid, part-time role is ideal for experienced data science professionals eager to drive business impact through advanced analytics and consulting.

Job Description: Responsibilities: Develop and implement data models and algorithms to solve complex business problems. Utilize Databricks to manage and analyse large datasets efficiently. Collaborate with cross-functional teams to understand business requirements and deliver data-driven insights. Design and build scalable data pipelines and ETL processes. Perform data exploration, preprocessing, and feature engineering. Conduct statistical analysis and machine learning model development. Communicate findings and insights to stakeholders through data visualization and reports. Stay current with industry trends and best practices in data science and big data technologies. Requirements: Minimum 6 years of experience as a Data Scientist Required. Proven experience as a Data Scientist or similar role. Proficiency with Databricks and its ecosystem. Strong programming skills in Python, R, or Scala. Experience with big data technologies such as Apache Spark, Databricks. Knowledge of SQL and experience with relational databases. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud). Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Bachelor's degree in Data Science, Computer Science, Statistics, or a related field (or equivalent experience). Preferred Qualifications: Advanced degree (Master's or Ph.D.) in a relevant field. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). Knowledge of data visualization tools (e.g., Tableau, Power BI). Familiarity with version control systems (e.g., Git).

Job Summary: Our organization seeks a dedicated and skilled Data & Project Management Analyst. This role demands a unique blend of talents in managing comprehensive data analytics processes, orchestrating project management, and crafting insightful Management Information Systems (MIS) dashboards. The successful candidate will report directly to the Deputy CEO and play a pivotal role in harnessing data to fuel strategic decisions, improve operational efficiencies, and drive our growth in the competitive landscape. Key Responsibilities: 1) Data Analytics & MIS Design Design and implement MIS across various departments, ensuring accurate and actionable data collection and analysis. Develop dynamic dashboards using data visualization tools such as Power BI, tailored to management's needs for strategic oversight and decision-making. 2) Project Management Employ project management methodologies and tools, like Jira, to oversee data-related projects from inception to completion, ensuring alignment with business goals. Coordinate cross-departmental efforts to gather data, setting and maintaining high standards for data quality and timeliness. 3) Strategic Collaboration & Reporting Work directly with the Deputy CEO and other senior management members to identify key data and analytics priorities that support the organization's strategic objectives. Present complex data findings in a clear and actionable manner, enabling informed decision-making at the highest levels. 4) Continuous Improvement & Innovation Stay abreast of the latest trends and technologies in data analytics and project management to continually enhance our capabilities. Initiate and lead projects aimed at improving data collection methodologies, analytics processes, and project management practices. Qualifications: 1) Bachelor’s or Master’s degree in Information Technology, Business Administration, Data Science, or a related field. 2) Demonstrated experience in data analytics, MIS design, and project management, with a strong preference for candidates familiar with Power BI, Jira, and similar tools. 3) Excellent analytical, problem-solving, and communication skills, with the ability to manage multiple projects and stakeholders effectively. 4) Prior experience in the edtech sector is an asset, providing valuable insights into one of our key operational domains.

Summary Position Summary Process Optimization & Service Assurance - Operations Reporting Sr. Analyst (USI) The Team Deloitte Technology is the Global CIO’s IT Organization, which provides and manages a portfolio of global business applications and technology infrastructure that supports business processes common to all Deloitte member firms. Work you’ll do The Operations Reporting Analyst will play a critical role in daily operations, ensuring that leadership is equipped with accurate service and quality metrics to make informed decisions.He/she is also expected to oversee the development and delivery of self-service reporting, dashboards and compliance scorecards and provide thought leadership as required around portfolio insights and total quality management. Outstanding research, analytical, and quantitative aptitude, as well as advanced attention to detail and strong business acumen are required for success in this role. Enterprise Assurance & Insights: Create and maintain portfolio, service excellence and quality performance reporting on a regular basis Oversee and manage service enrollments, SOWs/MOUs and work order activations, DocuSign workflows and reporting Analyze portfolio performance data and provide actionable insights to leadership through reporting & regular leadership report-out discussions Take lead in working closely with Service Excellence and other DT leaders and team members to support & provide guidance around respective pillar/service area/MF reporting needs and insights Audit accuracy of data pulled from different sources, building in early identification controls to ensure data managed by the team remains the single source of truth Collaborate & liaise with Service Excellence leaders to understand reporting requirements across the organization and ensure information/insights are delivered timely and accurately Leverage analytical tools such as Power BI, Excel and Tableau to perform advance analytics to serve leadership and stakeholders Maintain quality compliance scorecards, to include extracting key messages for leadership review and action Collaborate with Service Excellence leaders to proactively drive improved quality and delivery excellence as per defined standards (Technology Operating Model, Global PDP, ITC/DR) Optimize existing processes, enabling automation to reduce manual effort Work with stakeholders to understand business requirements, identify opportunities to streamline processes and enable informed decision-making through reporting Qualifications Bachelor’s degree required; major in IT/CIS/Business preferred, with other majors considered 3-6 years of metrics analysis and reporting, preferably in a global organization Strong communication skills Advanced experience in MS Excel (including macros) and PowerPoint required Experience with Tableau, PowerBI and enterprise project and resource management tools such like ServiceNow required Experience in data analysis and data visualization required Experience in SQL database management (i.e. basic queries, creating tables, etc.) Required skills: Excellent attention to detail; understands urgency and accuracy of work Good administration skills Must be very well organized and be able to respond to changing priorities Well-developed interpersonal, communication and presentation skills Excellent relationship management skills Strong team player Ability to be proactive and work alone as well as part of a larger team Ability to navigate large organizations Analytical and flexible with the ability to rapidly understand unfamiliar and complex concepts The ability to synthesize and visualize complex data Exceptional business acumen and the ability to understand the business needs/drivers that will drive the reporting solutions that are built How You’ll Grow At Deloitte, we have invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities—including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way. No two people learn in exactly the same way. So, we provide a range of resources including live classrooms, team-based learning, and eLearning. DU: The Leadership Center in India, our state-of-the-art, world-class learning Center in the Hyderabad offices is an extension of the Deloitte University (DU) in Westlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. #EAG-Technology Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300862

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Associate Job Description & Summary A career within Internal Audit services, will provide you with an opportunity to gain an understanding of an organisation’s objectives, regulatory and risk management environment, and the diverse needs of their critical stakeholders. We focus on helping organisations look deeper and see further considering areas like culture and behaviours to help improve and embed controls. In short, we seek to address the right risks and ultimately add value to their organisation. At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true saelves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within…. Responsibilities: Architecture Design: · Design and implement scalable, secure, and high-performance architectures for Generative AI applications. · Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization. Model Development and Deployment: · Fine-tune pre-trained generative models for domain-specific use cases. · Data Collection, Sanitization and Data Preparation strategy for Model fine tuning. · Well versed with machine learning algorithms like Supervised, unsupervised and Reinforcement learnings, Deep learning. · Well versed with ML models like Linear regression, Decision trees, Gradient boosting, Random Forest and K-means etc. · Evaluate, select, and deploy appropriate Generative AI frameworks (e.g., PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, Agent flow). Innovation and Strategy: · Stay up to date with the latest advancements in Generative AI and recommend innovative applications to solve complex business problems. · Define and execute the AI strategy roadmap, identifying key opportunities for AI transformation. · Good exposure to Agentic Design patterns Collaboration and Leadership: · Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. · Mentor and guide team members on AI/ML best practices and architectural decisions. · Should be able to lead a team of data scientists, GenAI engineers and Software Developers. Performance Optimization: · Monitor the performance of deployed AI models and systems, ensuring robustness and accuracy. · Optimize computational costs and infrastructure utilization for large-scale deployments. Ethical and Responsible AI: · Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks. · Implement safeguards to mitigate bias, misuse, and unintended consequences of Generative AI. Mandatory skill sets: · Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. · Experience with machine learning, artificial Intelligence frameworks models and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). · Should have strong knowledge on LLM’s foundational model (OpenAI GPT4o, O1, Claude, Gemini etc), while need to have strong knowledge on opensource Model’s like Llama 3.2, Phi etc. · Proven track record with event-driven architectures and real-time data processing systems. · Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows. · Deep experience with Azure OpenAI Service and vector DBs, including API integrations, prompt engineering, and model fine-tuning. Or equivalent tech in AWS/GCP. · Knowledge of containerization technologies such as Kubernetes and Docker. · Comprehensive understanding of data lakes and strategies for data management. · Expertise in LLM frameworks including Langchain, Llama Index, and Semantic Kernel. · Proficiency in cloud computing platforms such as Azure or AWS. · Exceptional leadership, problem-solving, and analytical abilities. · Superior communication and collaboration skills, with experience managing high-performing teams. · Ability to operate effectively in a dynamic, fast-paced environment. Preferred skill sets: · Experience with additional technologies such as Datadog, and Splunk. · Programming languages like C#, R, Scala · Possession of relevant solution architecture certificates and continuous professional development in data engineering and Gen AI. Years of experience required: 0-1 Years Education qualification: · BE / B.Tech / MCA / M.Sc / M.E / M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor in Business Administration, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Java Optional Skills Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Communication, Compliance Auditing, Corporate Governance, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Emotional Regulation, Empathy, Financial Accounting, Financial Audit, Financial Reporting, Financial Statement Analysis, Generally Accepted Accounting Principles (GAAP) {+ 19 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Associate Job Description & Summary A career within Internal Audit services, will provide you with an opportunity to gain an understanding of an organisation’s objectives, regulatory and risk management environment, and the diverse needs of their critical stakeholders. We focus on helping organisations look deeper and see further considering areas like culture and behaviours to help improve and embed controls. In short, we seek to address the right risks and ultimately add value to their organisation. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true saelves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within…. Responsibilities: Architecture Design: · Design and implement scalable, secure, and high-performance architectures for Generative AI applications. · Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization. Model Development and Deployment: · Fine-tune pre-trained generative models for domain-specific use cases. · Data Collection, Sanitization and Data Preparation strategy for Model fine tuning. · Well versed with machine learning algorithms like Supervised, unsupervised and Reinforcement learnings, Deep learning. · Well versed with ML models like Linear regression, Decision trees, Gradient boosting, Random Forest and K-means etc. · Evaluate, select, and deploy appropriate Generative AI frameworks (e.g., PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, Agent flow). Innovation and Strategy: · Stay up to date with the latest advancements in Generative AI and recommend innovative applications to solve complex business problems. · Define and execute the AI strategy roadmap, identifying key opportunities for AI transformation. · Good exposure to Agentic Design patterns Collaboration and Leadership: · Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. · Mentor and guide team members on AI/ML best practices and architectural decisions. · Should be able to lead a team of data scientists, GenAI engineers and Software Developers. Performance Optimization: · Monitor the performance of deployed AI models and systems, ensuring robustness and accuracy. · Optimize computational costs and infrastructure utilization for large-scale deployments. Ethical and Responsible AI: · Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks. · Implement safeguards to mitigate bias, misuse, and unintended consequences of Generative AI. Mandatory skill sets: · Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. · Experience with machine learning, artificial Intelligence frameworks models and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). · Should have strong knowledge on LLM’s foundational model (OpenAI GPT4o, O1, Claude, Gemini etc), while need to have strong knowledge on opensource Model’s like Llama 3.2, Phi etc. · Proven track record with event-driven architectures and real-time data processing systems. · Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows. · Deep experience with Azure OpenAI Service and vector DBs, including API integrations, prompt engineering, and model fine-tuning. Or equivalent tech in AWS/GCP. · Knowledge of containerization technologies such as Kubernetes and Docker. · Comprehensive understanding of data lakes and strategies for data management. · Expertise in LLM frameworks including Langchain, Llama Index, and Semantic Kernel. · Proficiency in cloud computing platforms such as Azure or AWS. · Exceptional leadership, problem-solving, and analytical abilities. · Superior communication and collaboration skills, with experience managing high-performing teams. · Ability to operate effectively in a dynamic, fast-paced environment. Preferred skill sets: · Experience with additional technologies such as Datadog, and Splunk. · Programming languages like C#, R, Scala · Possession of relevant solution architecture certificates and continuous professional development in data engineering and Gen AI. Years of experience required: 0-1 Years Education qualification: · BE / B.Tech / MCA / M.Sc / M.E / M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor in Business Administration, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Java Optional Skills Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Communication, Compliance Auditing, Corporate Governance, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Emotional Regulation, Empathy, Financial Accounting, Financial Audit, Financial Reporting, Financial Statement Analysis, Generally Accepted Accounting Principles (GAAP) {+ 19 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good. Your impact This role will play a crucial role in supporting the full project lifecycle, from initiation to closure, ensuring projects are delivered on time, within budget, and to the highest quality standards. This role requires a blend of administrative prowess, analytical skills, and effective communication to manage project complexities and stakeholder expectations. A proactive problem-solver with a solid grasp of project management concepts and a strong desire to help projects succeed will be the perfect candidate. Project Planning & Initiation Contract Scope Definition Collaborate with the Project Manager and Design Leads to accurately define project scope and deliverables as outlined in the contract. Pre-Bid Support Assist in the pre-bid phase by preparing pricing estimates and managing related administrative tasks. Contractual Coordination Coordinate with the Legal and Commercial teams during the bidding phase to ensure contractual compliance and alignment. Project Setup Coordinate with Project Controls (PC) and Project Accounting (PA) teams to create new projects, WBS codes creation and ensuring all necessary documentation adheres to company procedures. Project Management Plan Development Support the preparation of comprehensive Project Management Plans, including schedules, cost estimates, communication strategies, quality control measures, and risk management plans. Project Execution & Monitoring Administrative Support Provide comprehensive administrative support to the project and Project Manager, ensuring smooth project operations. Documentation & Reporting Compile and manage project documentation, including reports, presentations, and other required materials, and Prepare Dashboards. Create and update project logs, change registers, risk registers, etc., as required per project requirements. Schedule Management Utilize Primavera P6/MSP to develop, maintain, and adjust project schedules to meet deadlines and milestones. Proactively communicate schedule changes to all relevant stakeholders. Financial Monitoring Support stakeholders in financial monitoring using Earned Value Management (EVM) techniques, including the analysis of Cost Performance Index (CPI) and Schedule Performance Index (SPI) to assess project financial health. Financial Accuracy Review expenditure details, identify and correct inaccurate charges, and process and track sub-consultant invoices to ensure accurate financial records. Forecasting & Analysis Prepare monthly Estimate to complete (ETC) forecasts with Project Managers and Design Managers and conduct routine cost analysis, cash flow projections, and other cost-related evaluations. Subcontractor & Procurement Coordination Coordinate with subcontractors and the internal procurement team for supplier onboarding, purchase order management, and invoice processing. Project Closure Project Closeout Prepare comprehensive project closeout reports, facilitate internal and external accounts reconciliation, manage project archiving, and collect client feedback. We value collaboration and believe that in-person interactions are crucial for both our culture and client delivery. We empower employees with our hybrid working policy, allowing them to split their work week between Jacobs offices/projects and remote locations enabling them to deliver their best work. Here's what you'll need Qualifications Graduate / Advanced degree in Engineering or other technical disciplines Experience in the infrastructure sector or construction industry is highly preferable Experience in project coordination and monitoring. Knowledge in cost control tools and techniques to drive /contribute to project financial health Minimum Work Experience Required Minimum of 8 years post qualification experience (PQE) in project coordination in relevant sectors or industry Required Skills Technical Skills Mastery of MS Excel and proficiency in other MS Office applications (Word, PowerPoint, SharePoint, Outlook). Financial acumen and schedule management skills are crucial. Knowledge of data visualization software like Power BI is an advantage. Soft Skills This role emphasizes both administrative and analytical capabilities. Excellent communication and interpersonal skills. The APM is a key communicator between multiple project stakeholders. Strong team player who can work effectively in diverse project environments. Ability to prioritize and organize tasks efficiently. Ability to work in a fast-paced environment and manage multiple tasks. Ability to follow company procedures and work independently without constant guidance. Key Relationship and Reporting The incumbent will have relationships with one or more of the following Project Delivery Leads, Project Managers, Senior Project Managers, Manager of Projects. Project Controllers, Project Accountants, Commercial Analysts, HSE, Procurement, Legal team, Document controller & project key stakeholders. Integrate with the project managers in their team meetings and project reporting. Will obtain guidance from leadership as required. Software Skills Mastery in MS Excel and strong skillset in other MS Office software (Word, PowerPoint, SharePoint, Outlook) Knowledge in Planning software like MSP / Primavera and Power BI / Data Visualization software will provide an advantage

Position: Data Science Intern Company: IGNITERN Location: Remote Duration: 3–6 Months Stipend: Unpaid Type: Internship (Certificate Provided) About IGNITERN: IGNITERN is a forward-thinking digital solutions company dedicated to nurturing emerging talent in the tech space. We focus on real-world problem-solving, innovation, and offering early-career professionals an opportunity to explore and grow in their field. Internship Overview: We are seeking Data Science Interns who are passionate about data, eager to build models, analyze trends, and create insights that support business strategies. If you're enthusiastic about applying machine learning and statistical techniques in real-world contexts, this internship is for you. Roles & Responsibilities: Assist in collecting, cleaning, and preparing data for analysis Apply machine learning algorithms, statistical models, and exploratory data analysis techniques Collaborate with cross-functional teams to define problems and propose data-driven solutions Develop visualizations, predictive models, and performance reports Document processes and present findings in a clear, actionable format Who Can Apply: Students or recent graduates in Computer Science, Data Science, Engineering, Statistics, or a related field Must be available for at least 3 months This is a remote and unpaid internship focused on skill-building and learning Required Skills: Proficiency in Python (NumPy, pandas, etc.) Knowledge of machine learning concepts and basic algorithms Familiarity with data visualization tools like Matplotlib or Seaborn Strong analytical thinking and attention to detail Good written and verbal communication skills What You'll Gain: Practical, hands-on experience working on live projects Mentorship and collaboration with experienced data professionals Internship Certificate upon successful completion Portfolio development with real-world data science tasks Opportunity to grow in a supportive, learning-focused environment How to Apply: Send your resume and any supporting work (GitHub, Kaggle, reports, etc.) to: 📩 hello@ignitern.in Shortlisted candidates will be contacted for a brief assignment or interview.