Role Description We are looking for a motivated and detail-oriented Data Analyst Intern to join our growing team. If you're eager to learn and gain hands-on experience in data analysis, we want to hear from you! - Assist in data collection, cleaning, and transformation to ensure accuracy and consistency - Analyze datasets to extract actionable insights, trends, and patterns - Create and maintain reports, dashboards, and visualizations for internal and client-facing purposes - Work with cross-functional teams to understand business needs and provide data-driven recommendations - Assist in building and maintaining data models, ensuring they meet business requirements - Support in automating repetitive tasks and processes for improved efficiency - Communicate findings and insights in a clear and concise manner to stakeholders Qualifications - Any Graduate / Pass Outs / Freshers can apply - Current student or recent graduate in Data Science, Mathematics, Statistics, Computer Science, Economics, or a related field - Strong analytical skills with a keen eye for detail - Proficiency in data analysis tools (Excel, SQL, Python, R, etc.) - Familiarity with data visualization tools (e.g., Tableau, Power BI, etc.) is a plus - Excellent problem-solving skills and ability to work independently - Strong communication skills with the ability to present complex data insights clearly - Eagerness to learn and grow in the field of data analytics Requirements - Any Graduate / Pass Outs / Freshers can apply - Current student or recent graduate in Data Science, Mathematics, Statistics, Computer Science, Economics, or a related field - Strong analytical skills with a keen eye for detail - Proficiency in data analysis tools (Excel, SQL, Python, R, etc.) - Familiarity with data visualization tools (e.g., Tableau, Power BI, etc.) is a plus - Excellent problem-solving skills and ability to work independently - Strong communication skills with the ability to present complex data insights clearly - Eagerness to learn and grow in the field of data analytics Benefits - Internship Certificate - Letter of Recommendation - Performance-Based Stipend - Part-time work from home (2-3 hours per day) - 5 days a week, fully flexible shift - Hands-on experience working with real-world data and business problems - Exposure to industry-standard tools and technologies - Opportunity to collaborate with experienced data professionals and teams - A chance to make meaningful contributions to projects that have an impact on the business

Role Description We are seeking a visionary Chief Architect to lead our enterprise-wide technology strategy with a strong Data and AI-first mindset. This is a highly strategic leadership role responsible for shaping the future of our platforms, products, and technology ecosystem. You will define and drive the architecture that enables data-driven decision making, AI-powered innovation, and scalable digital platforms. Working closely with executive leadership, engineering, and product teams, you will ensure our technology foundation supports long-term growth, innovation, and operational excellence. Key Responsibilities - Enterprise Architecture Leadership - Define and drive the overall enterprise architecture strategy and roadmap - Establish standards for cloud-native, API-first, and scalable system design - Ensure alignment between business goals, product strategy, and technology execution - Lead architecture governance and decision-making across the organization - Data & AI Strategy - Design and evolve a modern data platform to support analytics, machine learning, and AI - Lead the development of AI-enabled systems, including predictive analytics and intelligent automation - Promote a data-driven culture, ensuring data is accessible, trusted, and effectively used across the business - Partner with teams to embed AI capabilities across products and operations - Technology Transformation - Lead modernization initiatives such as cloud native platform evolution, microservices adoption, and platform engineering - Drive innovation through adoption of emerging technologies, including AI and advanced analytics - Enable faster delivery and improved quality through modern engineering practices - Governance, Security & Compliance - Establish frameworks for responsible AI use, data governance, and architecture standards - Ensure solutions meet security, privacy, and regulatory requirements - Balance innovation with risk management and operational stability - Leadership & Collaboration - Build and mentor a high-performing architecture organization - Collaborate with executives, product leaders, and engineering teams to influence strategic decisions - Serve as a trusted advisor on technology trends, risks, and opportunities - Partner with external vendors and technology providers as needed Qualifications - 15+ years of experience in technology, including significant experience in enterprise architecture or senior technical leadership roles - Proven success designing and delivering large-scale, cloud-based systems and platforms - Experience with data architecture, analytics, or AI/ML solutions - Strong understanding of modern software architecture patterns (microservices, APIs, distributed systems) - Track record of leading technology transformation initiatives Preferred Qualifications - Experience with leading cloud platforms (AWS, Azure, or Google Cloud) - Familiarity with AI governance, responsible AI practices, or data compliance frameworks - Experience building or scaling data platforms (e.g., lakehouse, data warehouse, streaming architectures) - Background in digital product or platform-based organizations Leadership Attributes - Strategic thinker with a strong balance of business and technical acumen - Excellent communication skills; able to explain complex concepts to non-technical stakeholders - Collaborative leadership style with the ability to influence across teams - Passion for innovation and building future-ready, AI-enabled organizations Benefits - Very competitive compensation - Generous Paid Time Off (25 PTO days) - 8 Hours of Volunteer Time Off (VTO) - Comprehensive medical, dental and Wellness Program - 12 weeks paid parental leave - Flexible working arrangements - Formal and informal reward, recognition and acknowledgement programs - Engaging employee development events

Role Description As an Oracle Data Conversion Lead at Accenture, you will be at the forefront of designing, developing, and maintaining advanced data solutions to support data generation, collection, and processing. Your role will involve creating and optimizing data pipelines, ensuring data quality, and implementing ETL processes to enable seamless data migration and deployment across systems. In this position, you will act as a subject matter expert, leading and managing teams to deliver high-quality results. You will be responsible for driving team decisions, collaborating with multiple stakeholders, and contributing to strategic initiatives. Your expertise will be instrumental in solving complex challenges for your immediate team and across various teams. - Design and implement innovative data solutions to enhance operational efficiency and scalability. - Develop and optimize data pipelines to ensure high performance, reliability, and data quality. - Lead ETL processes for seamless data migration and deployment across systems. - Collaborate with cross-functional teams to identify and implement data-driven strategies that align with business objectives. - Conduct regular assessments of data quality and implement necessary improvements to maintain high standards. - Stay updated with industry trends, emerging technologies, and best practices to continuously improve data engineering practices. - Mentor and guide team members, fostering a culture of collaboration and continuous learning. Qualifications - Master proficiency in Oracle Data Integrator (ODI). - Expert proficiency in Data Migrations, Data Access, Data Engineering, Data Pipelines, and Data Processing. - Strong leadership and collaboration skills to manage teams and engage with multiple stakeholders effectively. - Excellent problem-solving abilities to deliver innovative solutions across diverse teams and projects. Company Description Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Role Description At the Marron Group, Inc., a Data Support Specialist is an integral part of our company's success. In this capacity, the Data Support Specialist is responsible for the accurate and efficient handling of data-related tasks, including but not limited to: - Data entry - Data maintenance - Data analysis - Troubleshooting data anomalies The ideal candidate will be detail-oriented, highly organized, and committed to meeting deadlines. - Precisely enter, verify, and update data in our systems to ensure the accuracy and completeness of records. - Conduct regular audits of databases to identify and correct inconsistencies. - Collaborate with team members and various departments to gather data and handle data-related problems. - Analyze data trends and provide insights to improve company processes and decision-making. - Ensure compliance with data backup and recovery procedures to protect the company's data integrity. - Provide technical support and training to staff members on data-related issues. Qualifications - A Bachelor's degree in Information Technology, Computer Science, or a related field. - At least two years of experience in a data support role or similar position. - Strong expertise in databases, data analysis tools, and data management software. - Exceptional attention to detail with the ability to efficiently manage large volumes of data. - Good problem-solving and analytical skills to identify and resolve data discrepancies. - Excellent verbal and written communication skills for explaining complex data concepts to non-technical staff members. - Ability to work well both independently and as part of a team. Benefits - Competitive benefits package includes medical, dental, and vision insurance. - Paid vacations and holidays to ensure work-life balance. - Life insurance as well as short-term and long-term disability coverages. - A 401(k) retirement plan, with matching employer contributions. - Conducive work environment with opportunities for continuous learning and growth. - Employee assistance program for personal and professional support.