10 Job openings found

A Day in the Life Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and translate them into efficient and scalable data solutions. Design and develop end-to-end data pipelines encompassing data ingestion, transformation, storage, and delivery. Utilize strong programming skills in Python to write clean, maintainable, and optimized code ...

  POD Lead Principal Accountabilities and Responsibilities (e.g., for Business, Customers and Stakeholders; internal control environment, etc.) Lead the delivery of BI and Analytics solutions to accomplish measurable outcomes for client’s Global businesses and functions. Manage a multi-disciplinary team formed of business analysts, data analysts, data scientists, visualisation specialists to deliver use cases via Agile. Report ...

 - Data Engineer (PySpark):• 5+ years of experience in Data Analytics role with at least 2 years of development experience in PySpark• Very strong in SQL• Expertise in programming with Python with experience in Data Cleaning, Feature Engineering, Transformation and building statistical/ML models.• Experience working on Unix based platforms with ...

ABOUT THE ROLE As a member of the Analytics team, you will drive the analysis behind decisions related to various products with our client. The candidate would be expected to own and deliver analysis on one or multiple projects right from understanding different client databases to analysing the data appropriately - ...

 JOB DESCRIPTION:-   Bachelors in Computer Science or Data Science or Information Systems or Mathematics or Statistics or equivalent years of relevant work experience. 5+ years of experience with agile software development testing, reviewing user stories, acceptance criteria, and other available information to develop test plans and test scenarios, both manual and automated 2+ ...

Job Descriptiob, ·       Database Design & Development: Design, develop, and maintain SQL databases that support business operations and ensure high availability and scalability. ·       SQL Query Writing: Develop complex SQL queries, stored procedures, functions, and views to support data extraction, reporting, and integration needs. ·       Performance Optimization: Analyze and optimize SQL queries and database structures to improve performance and ...

Credit Risk Analytics and Modelling – Analyse, model, validate and document various measures of Credit Risk for use in Expected Credit Loss and Capital computations. Hands-on experience in building, implementing, documenting, monitoring, validating, refining models and scorecards – in particular for PD, LGD, EAD and related Credit Risk metrics - using ...

Job Description Implement a customer experience vision and strategy that aligns with our company’s mission and values. Champion the voice of the customer and drive a customer-centric mindset at every level Collect, analyze, and interpret NPS data of 811 customers to evaluate customer sentiment and satisfaction level Identify patterns, trends, and key drivers ...

Business Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. Responsibilities Interpret data, analyze results using statistical techniques and provide ongoing reports Develop and implement databases, data collection systems, data ...

The analyst will be responsible for compiling and analysing sales, procurement and market data providing valuable feedback and actionable insights to guide our sales and procurement activities to help our organization sell more effectively. To be successful as a you should be able to analyse large amounts of data, accurately project ...