Data Analytics Lead, GR TMRW at United Overseas Bank Limited Co

Phoenix, Arizona, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Apr, 26

Salary

0.0

Posted On

24 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Data Engineering, Business Intelligence, SQL, Cloud Data Platforms, Python, Data Visualization, Data Warehousing, ETL Processes, Data Governance, Data Quality, Data Security, Analytical Skills, Problem-Solving, Communication Skills, Collaboration

Industry

Banking

Description

About UOB United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers. Job Description We are seeking a highly skilled and passionate Data Analytics professional to join our growing team. This is a unique opportunity for an individual who thrives at the intersection of data engineering, platform development, and business intelligence. You will play a pivotal role in shaping our data strategy, building robust data solutions, and transforming raw data into actionable insights that drive critical business decisions. What You'll Do: 1. Data Platform Development: Design, build, and maintain scalable and robust data platforms and pipelines to support various data initiatives. Establish best practices for data governance, data quality, and data security. Collaborate with engineering and product teams to integrate new data sources and improve data accessibility. 2. Data Engineering: Define, Design, and maintain ETL processes to ingest, transform, and load data from diverse sources into our data warehouse/data lake. Ensure data integrity, accuracy, and reliability across all data pipelines. Troubleshoot and resolve data-related issues, ensuring minimal disruption to data availability. 3. Data Analysis & Insights Generation: Conduct in-depth data analysis to identify trends, patterns, and anomalies in large datasets. Develop compelling dashboards, reports, and visualizations to communicate key insights to stakeholders across various departments. Translate complex data findings into clear, concise, and actionable recommendations for business improvement and strategic decision-making. Proactively identify opportunities for data-driven optimization and innovation. 4. Cross-functional Collaboration & Leadership: Partner closely with business stakeholders to understand their analytical needs and translate them into technical requirements. Mentor junior data professionals (if applicable to seniority). Champion a data-driven culture within the organization. Job Requirements: 8-10 years of experience in data analytics, data engineering, business intelligence, or related field. Proven experience in building and maintaining data platforms and pipelines from scratch or significantly enhancing existing ones. Demonstrated ability to generate actionable business insights from complex datasets. Strong proficiency in SQL for data querying, manipulation, and analysis. Experience with a cloud data platform (e.g., AWS Redshift, Google BigQuery, Azure Synapse, Snowflake). Proficiency in at least one programming language is commonly used for data engineering and analysis (e.g., Python). Experience with data visualization tools (e.g. Power BI, Qlik Sense). Understanding of data warehousing concepts (e.g. dimensional modeling). Execute tasks within Agile/Waterfall frameworks, eg, design of scripts based on functional requirements, execution of test cases and defect fixes in JIRA, sharing of llearnings and best practices in Confluence, etc. Excellent analytical and problem-solving skills with a keen eye for detail. Strong communication and presentation skills, with the ability to articulate complex technical concepts to non-technical audiences. Ability to work independently and as part of a collaborative team. Proactive, self-motivated, and eager to learn new technologies. Business acumen and the ability to connect data insights to business outcomes. Additional Requirements Develop, Engage, Execute, Strategise Be a Part of the UOB Family UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application. Apply now and make a Difference Together, Let’s Build the Future of ASEAN We value our people and invest in them as we look to fulfil our purpose of building the future of ASEAN. We seek to create a collaborative and progressive environment for them to succeed in their careers for the long term. Explore career opportunities with us today. UOB is rated as one of the world's top banks, ranked 'Aa1' by Moody's Investors Service and 'AA-' by both S&P Global and Fitch Ratings. With a global network of 500 branches and offices across 19 countries in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia, Thailand and Vietnam, as well as branches and offices throughout the region. Career Site: UOB Career site

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Responsibilities

The Data Analytics Lead will design, build, and maintain data platforms and pipelines while conducting in-depth data analysis to generate actionable insights. They will collaborate with business stakeholders to understand analytical needs and mentor junior data professionals.