Entry-Level Visualization Engineers

Entry-Level Visualization Engineers - Dubai, UAE

Entry-Level Visualization Engineers - Dubai, UAE

Are you passionate about uncovering the story behind data? Do you enjoy transforming raw data into powerful insights that guide business decisions? Are you driven to improve processes, ensure data quality, and collaborate across teams to create smarter solutions?

We're looking for a Visualization Engineer who thrives in complexity, embraces curiosity, and brings a sharp analytical mindset to everything they do. If you're ready to make an impact in a global organization that's shaping the future of financial services, we want to hear from you.

Key Responsibilities:

1. Data Analysis:

- Gather data from various sources, clean, validate and prepare for analysis. Define data acquisition and integration/transformation logic, using appropriate methods and tools within the defined technology stack to ensure scalability of the data to meet various use cases.

- Perform exploratory data analysis to uncover trends, patterns, anomalies and outliers.

- Deep dive into complex data and processes, perform gap analysis, risk assessment, and apply statistical and advanced analytical techniques to derive insights from the data.

- Conduct hypothesis testing to make inferences and support data-driven decisions.

- Partner with Business units to define Key Performance Indicators (KPIs) and metrics.

- Provide actionable data insights and recommendations based on data analysis findings to Business or Stakeholders through interactive dashboards, reports and presentations.

- Identify opportunities to optimize data acquisition and analysis processes.

- Design and implement data analysis frameworks for complex datasets.

- Translate business requirements into technical specifications for data solutions.

2. Root Cause Analysis:

- Conduct end-to-end analysis of a data flow and technology stack to create an effective RCA on data quality/data integrity issues using a collection of principles, techniques, and methodologies to identify the root causes of an event or trend.

- Formulate corrective actions/potential solutions backed by complete and thorough research to understand the problem, processes, and solution to eliminate underlying issues.

- Oversee proper course of action for remediation of the issue in a timely manner.

- Implement Preventive measures to improve data integrity and data-driven decision making.

- Investigate areas that need improvement in efficiency and productivity.

- Communicate findings/recommendations to Data Engineering Leaders or Stakeholders of the analysis results.

3. Data Quality Assessment and Monitoring:

- Perform data profiling and quality checks to evaluate the health of data scorecards (accuracy, completeness, consistency, reliability, timeliness, uniqueness, usefulness, differences).

- Coordinate to catalog data quality rules and apply active data quality in the Data Engineering pipelines to proactively detect and address potential data issues.

- Communicate data cleansing techniques to correct errors, standardize formats, and address data inconsistencies based on findings to Data Engineering Leaders.

- Standardize data validation checks to be performed throughout the different stages of data lifecycle (extraction, replication, ingestion, storage, integration, transformation, cleansing, augmentation, validation, presentation) to ensure data accuracy.

- Collaborate with cross-functional teams to design and implement frameworks to monitor and track data movement and changes across the various integrated systems.

- Identify process improvement and optimization opportunities.

Required Skills and Qualifications:

- Bachelor's degree in computer science, statistics, mathematics, or related field. Master's degree preferred.
- Knowledge in data profiling, data discovery, information chain analysis, root cause analysis, cost benefit analysis, data analysis, statistical analysis, business intelligence or related roles.
- Understanding of data management, data governance with a focus on data quality.
- Strong analytical skills with proficiency in data analysis tools, and programming languages (SQL, Python, R, etc.).
- Knowledge of Data Lake, Data Warehousing, Database concepts and technologies.
- Understanding in data extraction, transformation, and loading (ETL) processes.
- Experience working with large and complex data sets, applications, workflows, and systems. Knowledge of network, log analytics, scripting, APIs.
- Proficiency in data visualization tools and techniques.
- Excellent problem-solving abilities and critical thinking with strong attention to detail.
- Ability to effectively communicate complex data insights to both technical and non-technical audiences.
- Ability to work independently and collaboratively in a fast-paced environment.
- Stay updated with industry trends and advancements in data analysis techniques.
- Experience with machine learning algorithms and techniques is a plus.

Western Union is positioned to become the world's most accessible financial services company —transforming lives and communities. We're a diverse and passionate customer-centric team of over 8,000 employees serving 200 countries and territories, reaching customers around the globe. More than moving money, we design easy-to-use products and services for our digital and physical financial ecosystem that help our customers move forward.

Just as we help our global customers prosper, we support our employees in achieving their professional aspirations. You'll have plenty of opportunities to learn new skills and build a career, as well as receive a great compensation package. If you're ready to help drive the future of financial services, it's time for Western Union.

Benefits:

You will also have access to short-term incentives, multiple health insurance options, accident and life insurance, and access to best-in-class development platforms, to name a few. Please see the location-specific benefits below and note that your Recruiter may share additional role-specific benefits during your interview process or in an offer of employment.

Your Dubai specific benefits include:

- 25 days annual leave
- Life & Medical Cover

Western Union values in-person collaboration, learning, and ideation whenever possible. We believe this creates value through common ways of working and supports the execution of enterprise objectives which will ultimately help us achieve our strategic goals.

Our Hybrid Work Model categorizes each role into one of three categories. Western Union has determined the category of this role to be Hybrid. This is defined as a flexible working arrangement that enables employees to divide their time between working from home and working from an office location. The expectation is to work from the office a minimum of three days a week.

We are passionate about diversity. Our commitment is to provide an inclusive culture that celebrates the unique backgrounds and perspectives of our global teams while reflecting the communities we serve. We do not discriminate based on race, color, national origin, religion, political affiliation, sex (including pregnancy), sexual orientation, gender identity, age, disability, marital status, or veteran status. The company will provide accommodation to applicants, including those with disabilities, during the recruitment process, following applicable laws.

Estimated Job Posting End Date:

This application window is a good-faith estimate of the time that this posting will remain open. This posting will be promptly updated if the deadline is extended or the role is filled.

About Us

Western Union is here for what's next. Each day, our diverse global teams invent and build new ways to send, save, and spend money. Wherever our customers are in the world, whatever currency they prefer, we're evolving to meet the demands of tomorrow. When we help make financial services more accessible to people everywhere, we transform lives and communities, positioning us to become the world's most accessible financial services company. That's our vision, and we need talented, forward-thinkers like you to help make it a reality.

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