<p>Key Responsibilities</p><ul><li>Data Management & MIS: Design, implement, and maintain robust Management Information Systems (MIS) to ensure data accuracy and availability.</li><li>Analytics & Insight: Transform raw data into actionable insights using advanced analytics, identifying trends and opportunities for business growth.</li><li>Stakeholder Management: Lead project meetings and serve as the primary liaison between technical teams and external stakeholders to ensure project milestones are met.</li><li>Reporting Excellence: Build and manage automated dashboards and high-impact presentations for executive leadership.</li><li>AI Integration: Explore and implement AI-led analytics tools to automate traditional reporting and enhance predictive modeling capabilities.</li></ul><p>Technical Skills & Qualifications</p><ul><li>Advanced Excel: Mastery of VBA, Power Query, and complex modeling is essential.</li><li>Data Visualization: Hands-on experience with Tableau (or similar BI tools) to create intuitive, interactive dashboards.</li><li>AI Literacy: Familiarity with AI-driven analytics platforms </li><li>Presentation: Proficiency in creating "C-suite ready" decks that tell a story beyond the numbers.</li><li>Project Management: Proven track record of managing project timelines, resource allocation, and external vendor relations.</li></ul><p>Preferred Qualifications</p><ul><li>Bachelor’s/Master’s degree in Business, Statistics, Computer Science, or a related field.</li><li>Strong communication skills with the ability to explain technical concepts to non-technical audiences.</li><li>A proactive mindset focused on process optimization and automation.</li></ul><h3>experience</h3>6

Hi All, We are hiring for Financial data analystLocation Bangalore <p>Key Responsibilities</p><ul><li>Develop and maintain interactive dashboards and reports using Power BI for financial and operational insights.</li><li>Write complex SQL queries to extract, manipulate, and analyze large datasets.</li><li>Work with Oracle databases to retrieve financial data and support reporting requirements.</li><li>Perform financial data analysis using Advanced Excel (Pivot Tables, Power Query, Power Pivot, VBA when required).</li><li>Support financial planning, budgeting, forecasting, and variance analysis.</li><li>Collaborate with finance, product, and business teams to understand reporting needs.</li><li>Ensure data accuracy, integrity, and consistency across financial reports.</li><li>Automate manual reporting processes to improve efficiency.</li><li>Provide insights and recommendations based on financial and operational data.</li></ul><h3>experience</h3>6

Job Title: Senior Data Annotator (Contract)<p>Location: Bangalore, India</p><p>Employment Type: Contract</p><p>Experience Level: Intermediate (5+ Years)</p><h3>About the Role</h3><p>We are looking for an Intermediate Data Annotator to join our team in Bangalore. In this role, you will go beyond simple data entry to act as a critical link in our Machine Learning pipeline. You will be responsible for high-precision labeling across multiple formats (text, image, and video) and will work closely with our Data Science and Analytics teams to refine the tools and processes that drive our AI models.</p><h3>Job Responsibilities</h3><ul><li><p>High-Fidelity Annotation: Perform complex labeling and tagging of text, image, and video datasets using specialized internal software.</p></li><li><p>Engineering Feedback Loop: Provide structured, constructive feedback to our engineers to improve the UX of our labeling tools and the efficiency of the data pipeline.</p></li><li><p>Process Ownership: Maintain full ownership of assigned annotation tasks, ensuring high data integrity and quickly adapting to changes in audit requirements or labeling guidelines.</p></li><li><p>Issue Documentation: Proactively identify and report bugs or inconsistencies within annotation documents and internal tools to the development team.</p></li><li><p>Cross-Functional Collaboration: Interact with Data Scientists and Data Engineers to improve data curation strategies and ensure "gold standard" quality across all datasets.</p></li></ul><h3>Requirements</h3><ul><li><p>Experience: 5+ years of professional experience in data annotation, data validation, or a high-volume QA environment.</p></li><li><p>Language Proficiency: Excellent command of the English language (written and verbal) is essential for documenting edge cases and communicating with technical teams.</p></li><li><p>Precision & Stamina: Ability to maintain a high level of accuracy and attention to detail during repetitive, high-volume tasks.</p></li><li><p>Technical Aptitude: Comfortable navigating new software programs and providing technical feedback on tool functionality.</p></li><li><p>Mindset: A proactive, quality-focused professional who is reliable and can work independently within a contract framework.</p></li><li><p>Organizational Skills: Strong ability to manage multiple annotation sets and keep documentation organized.</p></li></ul><h3>experience</h3>7