Data Visualization Developer (Power BI)

Key Responsibilities

• Design and Develop Visualizations: Create advanced, interactive dashboards

and reports in Power BI that enable stakeholders to explore data, uncover trends,

and make informed decisions.

• Data Integration and Modelling: Connect disparate data sources, model data

efficiently, and implement ETL (Extract, Transform, Load) processes using SQL

and AWS services.

• Cloud-Based Data Solutions: Utilize AWS services (such as Redshift, S3, RDS,

Lambda, and Glue) for scalable data storage, processing, and deployment of

visualization solutions.

• Performance Optimization: Optimize dashboards and queries for speed,

reliability, and scalability, ensuring a seamless user experience across teams

and functions.

• Collaboration: Work closely with business analysts, data engineers, and

stakeholders to gather requirements, iterate on designs, and deliver solutions

that meet evolving business objectives.

• Agile & Scrum Practices: Participate in Agile and Scrum ceremonies including

sprint planning, stand-ups, retrospectives, and reviews. Contribute to sprint

goals and collaborate in cross-functional teams.

• Documentation and Training: Maintain clear documentation of data

models, visualisations, and processes. Train end-users and internal teams on

dashboard use and best practices.

• Quality Assurance: Conduct rigorous testing and validation of visualizations,

ensuring data accuracy and integrity at all stages.

• Continuous Improvement: Stay abreast of the latest visualization trends, Power

BI features, AWS advancements, and data management methodologies.

Proactively propose enhancements to existing solutions.

• Security and Compliance: Ensure all visualization solutions adhere to company

data governance policies, security protocols, and relevant compliance

standards.

Required Skills & Qualifications

• Proficiency in Power BI: Demonstrated experience designing and developing

complex dashboards, custom visuals, DAX queries, and Power BI service

deployment.

• AWS Expertise: Hands-on experience with AWS data services such as Redshift,

S3, RDS, Lambda, and Glue. Ability to integrate AWS cloud data sources with

visualization tools.

• Strong SQL Skills: Advanced SQL capabilities for data extraction, transformation,

and modeling. Familiarity with various relational databases.

• Agile & Scrum Experience: Proven track record working in Agile

environments, participating in Scrum teams, and delivering iterative value in

sprints.

• Data Modeling: Experience with designing and implementing data models

that facilitate efficient reporting and analysis.

• Analytical Mindset: Ability to analyze business requirements, translate them into

technical specifications, and deliver actionable insights.

• Communication: Excellent written and verbal communication skills, with a talent

for explaining complex concepts to non-technical stakeholders.

• Problem Solving: A resourceful approach to troubleshooting data, visualization,

or performance issues.

• Attention to Detail: Strong commitment to data accuracy, quality assurance, and

documentation.

• Continuous Learner: Eagerness to learn about new technologies, visualization

techniques, and industry best practices.

Preferred Qualifications

• Bachelors or master's degree in computer science, Information Systems, Data

Science, or related field.

• Professional certifications in Power BI, AWS, or Agile/Scrum methodologies.
• Experience with other visualization tools (such as Tableau, QlikView, or Looker)

is a plus.

• Exposure to Python or R for data analysis and integration.
• Experience working with APIs to source and integrate data.
• Familiarity with CI/CD pipelines for data and visualization products.
• Knowledge of data governance, privacy regulations, and compliance standards

relevant to data visualization.