We are looking for an analytical and detail-oriented research analyst to assist in improving the operations and decision-making of our business. The research analyst's responsibilities include researching, collecting, analyzing, and interpreting data, and using the data to guide the business's decision-making. A research ...
We are looking for an analytical and detail-oriented research analyst to assist in improving the operations and decision-making of our business. The research analyst's responsibilities include researching, collecting, analyzing, and interpreting data, and using the data to guide the business's decision-making. A research ...
... services. Support the implementation of new banking solutions, ensuring they align with regulatory and compliance requirements. Develop reports, dashboards, and data-driven insights to support decision-making. Assist in UAT (User Acceptance Testing) and ensure successful implementation of banking systems and processes. Keep ...
The Business Analyst - Sales & Distribution Analytics will be responsible for analyzing sales performance, advisor recruitment trends, and activation percentage across zones and channels. The role involves generating actionable insights, automating MIS reports, and supporting data-driven decision-making to enhance field ...
... in finance, Accounting, or related field. CFA/CMA/MBA/CA or legal background is a plus. - Deep understanding of financial concepts, accounting, and ratios. - Data analysis proficiency: Excel, databases, analytical tools. - Experience in financial modeling; Power BI and AI-driven systems experience preferred. - Shift Timing: ...
... responsible for entering, updating, and maintaining accurate data in oracle and system and databases. You will work closely with other team members to ensure data integrity and smooth daily operations. Key Responsibilities - Input order management data as applicable and release DJ (Discrete Jobs) data from system and files ...
... of prescription medicines, vaccines, and animal health products. · Drive innovation and execution excellence. Be the leaders who have a passion for using data, analytics, and insights to drive decision-making, which will allow us to tackle some of the world's greatest health threats. Our Technology centers focus ...
... scientific, data-driven system called Decision Mines for Digital Excellence. Job Description Job Summary: We are looking for an experienced lawyer with expertise in data protection laws to ensure compliance with global and regional privacy regulations, including GDPR and the India Digital Data Privacy Bill. Key Responsibilities: ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. AWS AI Services Minimum 3 Year(s) ...
... Experience with system integration, implementation, upgrades, migrations, or technology modernization. - Good understanding of application, infrastructure, cloud, database, networking, or platform technologies relevant to the role. - Familiarity with automation, monitoring, DevOps, CI/CD, cloud platforms, or modern engineering ...
... strong expertise in Data Science using Python, Machine Learning, and Deep Learning , along with the ability to translate complex business problems into scalable, data-driven solutions. In this role, you will work closely with engineering, product, analytics, and business teams to identify opportunities where data and AI can ...
... ethics and compliance requirements and embed them in day-to-day governance practice. Who you’ll work with You will join the Data and AI Foundation and lead the Data Engineering Enablement team within Novo Nordisk Enterprise IT. The team brings together AI, data and software engineers, business analysts, data architects and ...
... modeling) and modern AI systems (LLMs, Generative AI and agentic frameworks). The role requires strong applied modeling skills across structured and unstructured data, and experience deploying models into production environments. This position involves end-to-end ownership of data science initiatives, from problem framing and ...
... years of experience • Minimum 3 years of experience in design, build and deployment of Ab Initio-based applications • Expertise in handling complex large-scale Data Lake and Warehouse environments • Hands-on experience writing complex SQL queries, exporting and importing large amounts of data using utilities • Excellent verbal ...
... and modern data engineering practices. This role requires an AI-first mindset in data engineering and data modeling activities that enable the business to use data effectively and consistently across domains. You will partner closely with product owners, data engineers, data analysts, and business stakeholders to: - Define ...
... members of IT, including business analysts, database administrators, and managers, to design and develop Cognos reporting capability- Exhibit a commitment to data quality by validating results against sources specified in the requirements- Develop and maintain stored procedures- Write and support queries against databases ...
Job Summary We are seeking an experienced Demand Forecasting Data Scientist with strong expertise in time series forecasting, machine learning, and supply chain analytics . The ideal candidate will have hands-on experience working with Databricks and Python , a deep understanding of demand planning use cases, and the ability ...
... improving technical safeguards that protect sensitive corporate and customer data across cloud, endpoint, and enterprise environments. As a subject matter expert in data security and privacy engineering, this individual deploys and tunes data discovery, classification, DLP, encryption, and key management controls. The Data Protection ...
... https://jobeax.com/link/OBSYxKmspgkYWOcn Responsibilities:- Design, develop, and maintain data pipelines.- Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver high-quality data solutions.- Optimize data workflows for performance and scalability within the Azure environment.- Ensure data quality, ...