Data Operations Associate – Migration & Visualization Specialist
Cebu, Central Visayas, Philippines
JPMorgan Chase & Co.
Elevate your career and decode complex data patterns and craft influential dashboards. Construct and execute plans for data migration for dashboard and automation tool use. Engage with a visionary team, translating intricate stakeholder needs into transformative insights.
As a Data Operations Associate in Commercial and Investment Bank - Middle Office, you conduct independent analysis to uncover patterns leading to new questions and solutions through data collection, integrity, utilization, requirements, and analysis. You apply your technical knowledge and problem-solving methodologies across multiple applications of moderate scope. Use your elevated technical skills to support the design and development of metrics reporting and dashboards to enable Operations Management to execute their strategic objectives and ensure conformance with all controls, policies, and procedures.
Job Responsibilities:
- Execute data migration efforts, ensuring seamless integration and minimal disruption to business operations.
- Develop and maintain ETL processes to support data migration and integration.
- Create and maintain dashboards and reports using tools like Qlik, Tableau and Power BI to provide insights to business stakeholders.
- Collaborate with business units to understand functional requirements and reporting needs, translate them into technical and data requirements, and deliver actionable insights.
- Implement data quality checks and validation processes to ensure data accuracy and reliability.
- Provide technical expertise and support for data-related projects and initiatives.
- Troubleshoot and resolve data issues in a timely manner.
- Maintain detailed documentation of data processes, systems, and workflows. Ensure adherence to regulatory requirements and company standards.
Required Qualifications, Capabilities, and Skills:
- Minimum of 2 years of experience in data operations, data migration, and data visualization.
- Proven experience with data migration projects and tools
- Proven experience working with structured and semi-structured data
- Strong understanding of data warehousing and data modeling concepts.
- Familiarity with ETL processes and tools ( Python, Alteryx, Snowflake, and AWS environment)
- Proficiency in data analysis tools such as SQL, Python, Tableau, and Power BI.
- Strong analytical and problem-solving skills with high attention to detail
- Excellent verbal and written communication skills to convey complex data insights to non-technical stakeholders.
- Ability to manage multiple projects and meet deadlines.
- Strong team player with the ability to work collaboratively in a cross-functional environment.
Preferred Qualifications, Capabilities, and Skills:
- Bachelor’s degree.
- Knowledge of query writing and execution using data analysis tools.
- Certification in Data Technology, Agile, or other project management applications.
- Experience with additional data analysis tools and technologies such as R, SAS, Hadoop, and Spark. (Plus)
- Understanding of data governance and data quality management principles.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Banking Data analysis Data governance DataOps Data quality Data visualization Data Warehousing ETL Hadoop Power BI Python Qlik R SAS Snowflake Spark SQL Tableau
Perks/benefits: Career development
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