We are seeking an experienced Lead Data Analyst to work on large-scale Energy & Utilities datasets. The ideal candidate will be responsible for analyzing tariff and pricing data, building data models, automating workflows, and delivering actionable insights to support business decisions.Role: Lead Data AnalystExperience: ...
... inquiries related to Addepar's portfolio data feeds and on general data product functionalities within established SLAs. Manage and complete requests from internal Data teams that require client outreach and/or action to resolve data verification issues. Investigate client reported bugs and data processing issues, and triage ...
... London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role The ADM Support team handles all client inquiries related to Addepar's Alternatives Data Management (ADM) solution post-implementation. ADM Support Analysts play a critical role in supporting some of the world's most sophisticated investors, answering ...
Program Finance Analyst At OP Mobility , we’re engineering the next generation of mobility solutions. To accelerate our journey, we’re looking for a Program Finance Analyst who thrives in high ‑ velocity environments, delivering clarity, insight, and measurable impact. If you’re energised by complex data, precision modelling, ...
... 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 ...
... quality assurance, and strong business alignment to deliver scalable, high-quality technology solutions that create measurable enterprise value. Role: Business Analyst We are looking for experienced Business Analysts to join our growing team for enterprise-scale transformation initiatives in the General Insurance domain. The ...
... technologies/systems that powers world‑class operations, customer experiences, and AI‑driven decision-making. We are seeking a Supply Chain Technical/Integrations Analyst for our Digital Supply Solutions group. This leader acts as a Product manager and is responsible for end-to-end planning systems capabilities from strategy, ...
... solutions; trouble shoots user errors and supports reporting capabilities. Utilizes system monitoring utilities to monitor system availability. Extracts and compiles data system monitoring data to create availability scorecards and reports Perform research, systems analysis and design and makes recommendations to management. Act ...
Senior FP&A Analyst (Pune) About The Role The Senior FP&A Analyst is a key partner to Finance leadership and the wider business, driving data-driven decision making through planning, forecasting, and analysis. This role owns core FP&A processes, including budgeting, forecasting, management reporting, and variance analysis, ...
We are looking for a Senior Business Systems Analyst with API Integration to join a global People & Culture Engineering team within a leading international healthcare and life sciences organization. In this role, you will work at the intersection of cloud technologies, enterprise SaaS platforms, and digital HR solutions, ...
Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Zinnia has over $180 ...
... solutions; trouble shoots user errors and supports reporting capabilities. Utilizes system monitoring utilities to monitor system availability. Extracts and compiles data system monitoring data to create availability scorecards and reports Essential Job Functions Perform research, systems analysis and design and makes recommendations ...
... Migration. Has at least one of the following : - Delivery experience in IVR, CCaaS, Omnichannel Delivery.- Implementing AI use cases for Agent Assist journeys.- Data & analytics expertise.- Experience with BM/MI (KPI Tracking and reporting).Key Responsibilities : - Translate intricate retail banking business requirements into ...
... AI-first data strategy at scale across 120M+ customer interactions. Databricks Apps & Self-Serve AI Develop and deploy internal AI-powered applications using Databricks Apps — enabling business users to interact with ML models, RAG systems, and analytics agents through governed, self-serve interfaces. Integrate Databricks ...
... Data Engineer to drive our mission to unlock potential of data assets by consistently innovating, eliminating friction in how users access data from its Big Data repositories and enforce standards and principles in the Big Data space. The candidate will be part of an exciting, fast paced environment developing Data Engineering ...
... batch jobs, database replication & Kafka- Set up and maintain monitoring/observability for data pipelines- Support ML pipelines, Airflow workflows and production data science infrastructureIDEAL PROFILE:Looking for candidates with strong hands-on experience in:- Data Operations- Production Data Engineering- Data Platform Support- ...
... 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 ...
... preparing data for prescriptive and predictive modeling. Data engineers also develop data set processes for data modeling, mining, and production, integrate new data management technologies and software engineering tools into existing structures, and collaborate with data scientists and analysts to ensure data accuracy and ...