Senior Data Analyst at Great Eastern Life Assurance Co Ltd

Cuenca, Azuay, Ecuador -

Full Time

Start Date

Immediate

Expiry Date

07 Jun, 26

Salary

0.0

Posted On

09 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Visualization, Dashboard Creation, SQL Programming, Data Modeling, Stakeholder Collaboration, Data Analysis, Data Quality, Requirements Gathering, Problem-Solving, Communication, Tableau, PowerBI, Qlikview, Spark, Hadoop, Cloud Data Services

Industry

Insurance

Description

We are looking for a Senior Data Analyst to deliver enterprise-wide visual analytics, create effective and impactful dashboards, and generate actionable insights to drive business performance. This role requires independent work, stakeholder collaboration, and strong technical expertise to support data-driven strategies. Design, build, test and enhance visual analytics assets to ensure continued relevance and usage of the dashboards by business users for making informed decisions Adopt the best practices to design and build reliable data stores for reporting and analytics Maintain data models to ensure all data are up to date with data accuracy and data integrity Collaborate with business to align logics of key metrics, and to ensure code logics correctly reflect latest business definitions Work closely with business stakeholders and data engineers to communicate data requirements, collect data, and validate quality of data products Work with Data Engineering team to define the key pipelines of data required to support Business Support the build of business data stores where necessary to advance the scalability and reusability of GE’s visual analytics assets Support ad-hoc data analysis requests as and when required Ensure all analytics project undertaking comply with both internal and external policies, guidelines and regulations Possesses strong communication skills with the ability to bridge technical and business domains, and proactive problem-solving 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 3 years of experience participating in business intelligence and analytics projects as an individual contributor required A minimum 3 years of experience in data visualization tools (Tableau / PowerBI / Qlikview) is required A minimum 3 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, and cloud data services (e.g., AWS, Azure, GCP) is preferred Good at requirements gathering, multitasking and work prioritization and being able to deliver work timely under pressure Understanding of banking, insurance 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 Knowledge of Python, especially in the field of text mining, is a plus

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Responsibilities

The Senior Data Analyst will be responsible for delivering enterprise-wide visual analytics, creating impactful dashboards, and generating actionable insights to drive business performance. This includes designing, building, testing, and enhancing visual analytics assets while maintaining data models for accuracy and integrity.