Data Analyst

Ensure delivery of high-quality data solutions that meet Business Users' requirements

by:

• Designing and implementing ETL processes to extract, transform, and load data

from various sources into data warehouses.

• Developing and maintaining business intelligence reports and dashboards to

provide actionable insights.

• Collaborating with business stakeholders to understand data needs and

translate them into technical requirements.

• Establishing and maintaining data governance and quality controls over a

number of data sources and systems.

• Diagnosing and resolving data-related issues and optimizing ETL processes for

performance.

• Working with Project Managers and development leads to guide the estimation

of data-related tasks.

• Assisting with the recruitment of high-quality data analysts and ETL developers

Role Specific

Requirements

• 4+ years of experience in data analysis, business intelligence, and ETL processes.
• Proficiency in data analysis tools and software such as SQL, Python, R, and data

visualization tools (e.g., Tableau, Power BI).

• Experience with ETL tools and technologies such as Informatica, Talend, or Apache NiFi.
• Strong analytical and problem-solving skills with the ability to interpret complex data sets.
• Excellent communication and presentation skills, with the ability to convey complex

information to non-technical stakeholders.

• Attention to detail and a commitment to data accuracy and integrity.
• Ability to work independently and as part of a team in a fast-paced environment.
• Experience with data warehousing concepts and tools.
• Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.
• Familiarity with cloud data platforms (e.g., AWS Redshift, Google BigQuery, Azure

Synapse) is a plus.

• Bachelors degree in Data Science, Statistics, Computer Science, or a related field.

Masters degree is a plus.

Special Considerations:

• Experience in the insurance or financial services industry is highly desirable.

• Knowledge of the insurance lifecycle policy & claims is a plus.

Skills/Specific Tasks/Activities performed

• Ensure data quality levels meet the standards agreed with the Data Architect.
• Ensure appropriate use of technology as per Data Architecture & OSD.
• Ensure ETL and reporting processes are reliable and automated.
• Ensure data validation and quality checks are automated and coverage is maintained.
• Monitor data pipelines in all environments (aim for zero errors; ensure appropriate information is logged to isolate issues).
• Coordinate and analyze performance testing in CI/ASM/SYS/UAT to identify possible performance issues.
• Identify risks/issues potentially impacting major/minor data releases (record in Jira and escalate to PMs and Tech Owner/Manager).
• Identify technical debt (record in Jira and escalate to Tech Owner/Manager).
• Understand and own the "end to end" data solution (i.e., how all parts integrate).
• Liaise with related teams (architects, I&O, DBAs, SYS test, etc.).