Senior Data Analyst

3-5 Years

Posted a day ago
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Job 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.
Takes accountability in considering business and regulatory compliance risks and takes appropriate steps to mitigate the risks.
Maintains awareness of industry trends on regulatory compliance, emerging threats and technologies in order to understand the risk and better safeguard the company.
Highlights any potential concerns /risks and proactively shares best risk management practices

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