Senior Data Analyst at Great Eastern Life Assurance Co Ltd

Cuenca, Azuay, Ecuador -

Full Time

Start Date

Immediate

Expiry Date

05 Apr, 26

Salary

0.0

Posted On

05 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, AI, Data Visualization, SQL, Business Intelligence, Statistical Techniques, Machine Learning, Data Modeling, Data Pipelines, Risk Management, Communication Skills, Requirements Gathering, Creativity, Collaboration, Problem Solving, Data Integrity

Industry

Insurance

Description

The Senior Data Analyst plays a critical role in enabling Group Internal Audit to transform audit processes using data analytics and AI. This role is responsible for the successful delivery of enterprise-wide analytics initiatives, including deep dive analyses and end-to-end model lifecycle management. The analyst will independently lead projects, collaborate closely with key stakeholders, and apply advanced technical skills to implement scalable analytics solutions that drive audit coverage, productivity, and strategic decision-making. Design, build, and enhance visual analytics assets that support audit decision-making and risk identification. Conduct deep dive analytics to uncover patterns, anomalies, and emerging risks across complex datasets. Map out the analytics and AI roadmap for audit function. Maintain and optimise data models to ensure accuracy, integrity, and relevance. Collaborate with business stakeholders to align metrics logic with evolving business definitions. Collaborate with data scientists to manage the end-to-end lifecycle of analytics models, including data sourcing, development, validation, deployment, monitoring, and continuous improvement. Work closely with data engineers to define and build robust data pipelines and business data stores that support scalable analytics. Ensure all analytics initiatives comply with internal and external policies, guidelines, and regulations. Respond to ad-hoc data insight requests and support audit teams with timely, actionable intelligence. Proactively share best practices in risk management and analytics innovation. Bachelor of Science degree in Business Analytics, Statistics, Economics, Actuarial Science, Data Science, Computer Science, Mathematics or equivalent disciplines that focuses on extensive use of data for analysis A minimum 5 years of experience participating in business intelligence and analytics projects as an individual contributor required A minimum 5 years of experience in data visualization tools (Tableau / PowerBI / Qlikview) is required A minimum 5 years of experience in SQL programming and standard MS Office applications is required Ability to analyze, identify, visualize and describe key trends within large datasets Hands-on experience with large volumes of data using SQL, Spark, Hadoop, or other big data ecosystems is preferred Practical knowledge in statistical and machine learning techniques including GLM, Regression, Random Forest, Boosting, Trees, Text Mining, Network analysis, etc. required. Practical knowledge in open source libraries such as scikit-learn, numpy, TensorFlow etc. is required. Good at requirements gathering, multitasking and work prioritization and being able to deliver work timely under pressure Understanding of banking, insurance, internal audit and financial services is preferred Curiosity & a real passion for understanding “why?” Creativity to see possibilities within the data & translate into compelling stories, decision and actions for non-technical business users Strong communication skills and ability to influence the business to take action using data

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Responsibilities

The Senior Data Analyst is responsible for delivering enterprise-wide analytics initiatives and transforming audit processes using data analytics and AI. This includes conducting deep dive analyses, managing the model lifecycle, and collaborating with stakeholders to enhance decision-making.