Job Description

Position Overview:

As a Data Analyst (Data Automation) in JP, you'll contribute to solutioning and design of

data reports and dashboards of our daily operations across diverse business units. You

will be a key driver in the organisation's AI & Data Management roadmap, fostering a

culture of data-driven mindset to fulfil the aim of self-service business intelligence for

everyone. This role will be looking at Business Intelligence design and data workflows in

addition to Data Engineering techniques to build effective automated end-to-end data

reporting pipelines.

Key Responsibilities:

Design and build data pipelines and consolidated data sources for performance, scalability, and real-time processing. Define clear objectives, metrics and deployment strategies for data products and services fulfilling business reporting needs. Collaborate closely with product and tech teams to gather business and data requirements for building effective dashboards and reports. Assist in conducting Data Heros workshops/ trainings to cultivate JP staffs in using analytical and BI tools for business analytics. Support data governance initiatives in form of driving data stewardship and data lifecycle management. Participate in cyber security and governance assessments to ensure compliance with data privacy regulations and industry standards. Generate and implement relevant codes for data transformation (ETL), normalisation and aggregation tasks with relevant Data quality monitoring recommendations.

Key Deliverables

Implement automated data pipelines and monitoring tools, meeting the data quality and lifecycle management standards. Develop and implement appropriate data sources and relevant data transformation techniques to maximise automation and self service capabilities for end users. Build and design reports/dashboards visualizations effective at telling stories and drawing out actionable insights. Develop and execute comprehensive deployment strategies and plans for BI tools/ platform adoption, tailored to the different needs and competency levelsof business users.

Qualifications:

Completed a degree in Business Analytics, Data Science, Data Engineering or a related field. 3-5 years relevant experience in ETL/ELT & data warehousing using Saas/PaaS such as Snowflake, AWS Redshift and other related open-source tools such dbt Strong foundation in related SQL languages such as PostgreSQL, Oracle SQL and Python for data wrangling and analysis. Strong knowledge in data visualization tools such as PowerBI/Tableau Experience with iPaaS solutions i.e. Workato, Boomi, MuleSoft will be a plus. Relevant certifications in data engineering fundamentals or cloud platforms(e.g., AWS Certified Data Engineer, Azure Data Engineer Associate). Strong business acumen & analytical mindset for problem-solving, adaptable, eager to learn, and enthusiastic about new technologies.

Benefits:

Hands-on experience working with state-of-the-art data platform and integration tools that are critical for organization's success in 5-years AI roadmap. Mentorship and guidance from experienced AI & data management professionals.
Job Type: Full-time

Pay: $6,000.00 - $7,000.00 per month

Experience:

Data Analyst: 1 year (Preferred) ETL: 1 year (Preferred) iPaaS solutions i.e. Workato, Boomi, MuleSoft : 1 year (Preferred) AWS Redshift: 1 year (Preferred) Snowflake: 1 year (Preferred) SQL: 1 year (Preferred)
Work Location: In person