JR DATA ANALYST

We are seeking a motivated and detail-oriented Junior Data Analyst to support our AS&UX Segment.
This role will involve working closely with senior analysts and various departments to analyze data, generate insights, and contribute to decision-making processes.
If you have a passion for data and are eager to develop your skills in a fast-paced environment, this is an excellent opportunity for you.
Major Accountabilities.
Design, develop, and maintain scalable ETL (Extract, Transform, Load) pipelines to process and transform raw data into usable formats for analysis and reporting.
Implement data modeling techniques to optimize data storage and retrieval, ensuring efficient data access and query performance.
Utilize data analytics tools and techniques to extract insights and patterns from large datasets, enabling data-driven decision-making within the organization.
Develop and implement automated machine learning (AutoML) solutions to streamline the process of model development and deployment.
Manage and administer relational and non-relational databases, including PostgreSQL, MySQL, MongoDB, and Google Cloud SQL, ensuring data integrity, security, and availability.
Perform database tuning and optimization to improve query performance and overall system efficiency.
Utilize cloud computing platforms such as Google Cloud Platform (GCP) to deploy and manage data processing and analytics workflows.
Leverage GCP services including Google Cloud Storage, Google Cloud Dataproc, Google Cloud Dataflow, and Google BigQuery for scalable data processing and analysis.
Coordinate and oversee the release of data engineering solutions and pipelines into production environments, ensuring smooth deployment and minimal disruption to operations.
Work in an agile development environment, following agile methodologies such as Scrum or Kanban to iteratively deliver data engineering solutions.
Participate in sprint planning, backlog grooming, and daily stand-up meetings to prioritize tasks and track progress towards project goals.
Qualifications.
Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
0-2 years of experience in a data analyst role or a relevant internship.
Proficiency in Excel and experience with data visualization tools (e.
., Tableau, Power BI).
Basic knowledge of SQL for data querying and manipulation.
Familiarity with statistical analysis and data mining techniques is a plus.
Why join us? You can grow at Aptiv.
Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs.{You can have an impact.
Safety is a core Aptiv value; we want a safer world for us and our children, one with.
Zero fatalities, Zero injuries, Zero accidents.
You have support.
We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package.
Your Benefits at Aptiv.
Compensation package, including Major Medical Insurance & Life Insurance Flexible Retirement Plan Learning, professional growth and development in a world recognized international environment Access to internal & external training, coaching & certifications Recognition for innovation and excellence Opportunities to give back to the community Meaningful work that makes a difference in the world Apply today, and together let’s change tomorrow! #LI-MG1 Privacy Notice - Active Candidates.
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ptiv.
om/privacy-notice-active-candidates Aptiv is an equal employment opportunity employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.
Aptiv is a global technology company that develops safer, greener and more connected solutions enabling the future of mobility.
Headquartered in Dublin, Aptiv has approximately + employees and operates 12 technical centers, as well as manufacturing sites and customer support centers in 44 countries.
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ptiv.
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