QUALIFICATIONS:

• Bachelor’s degree in Data Science, Computer Science, Information Systems, Design, or a related field.
• 5+ years of experience working as a data visualization developer
• Proficiency in Microsoft data visualization tools and technologies (e.g., Power BI, MS Fabric, Synapse Analytics, etc.).
• Excellent design and storytelling skills, with a focus on creating intuitive and impactful visualizations and providing insights to business.
• Strong communication and interpersonal skills, with the ability to work effectively with both technical and non-technical stakeholders.
• You have in-depth understanding of RDBMS, DW design principles (star/snowflake schema), ETL framework and modeling constructs (OLAP/ROLAP, Relational DB)
• Knowledge of working in Data platforms development using Azure Storage, Azure Data Factory, Azure Pipelines, Azure IaaS/PaaS, MuleSoft related to databases.
• Proficient in writing complex SQL Queries, Store Procedures, Views and ETL in re-designing Databases/Data warehouses/Data Lakes using SQL server, SSIS and any custom scripts.

ADDITIONAL SKILLS (OPTIONAL):

• Certifications in data visualization or related fields (e.g. Microsoft Certified: Data Analyst Associate).
• Experience with programming languages and frameworks relevant to data visualization.
• Proficient in data modeling tools such as ER Win or similar.
• Experience in maintaining and monitoring ETL jobs by making sure that jobs are completed in a timely manner.
• Experience working with Reporting and DBA teams for any query performance tuning and optimization as required.
• Knowledge of industry best practices for PII and GDPR compliance.
• Experience with AI/machine learning/deep learning is a plus.
• Work experience in the utility services industry is a plus.

ESSENTIAL FUNCTIONS & RESPONSIBILITIES:

The Data Visualization Developer will be a strategic thinker with hands-on technical expertise, capable of driving innovation on our Enterprise Data Platform while ensuring alignment with business goals. If you are passionate about building scalable, efficient data solutions and leading teams to success, we encourage you to apply. This role entails establishing, leading, and managing the Data & Analytics (D&A) function to drive organizational success. Key responsibilities include developing robust frameworks, creating comprehensive business requirement documentation and supporting artifacts, fostering a data-driven culture, ensuring trust and integrity in data management, and advancing technological capabilities to meet evolving business needs.

• Work with the leads to implement design, development, and maintenance of the business intelligence reports, dashboards and data warehouse solutions.
• Define and implement the data visualization strategy, ensuring alignment with business objectives and data analytics goals
• Coordinate with business stakeholders, development teams and analysts to determine data reporting and analysis requirements.
• Conduct system and data analysis, ensure the architecture aligns with the customer’s functional and non-functional requirements along with technical documentation.
• Design and implement technical, scalable solutions by adhering to the SDLC, coding standards, best practices, code performance, performance tuning ensuring high quality of code.
• Implement optimized, manageable and configurable code components resulting in ease of deployment and enhancements.
• Perform documented data research and Root cause analysis for technical issues and production support.
• Conduct code reviews and test documentation reviews with leads.
• Work as a solution architect to ensure that the tools chosen are the best fit for the capability requested.
• Support database administrators and developers to build data warehousing systems optimized for business intelligence, reporting and analytics.
• Assist in data administration, modeling and integration activities for the business intelligence environments (SQL Server or similar).
• Use analytics and data mining techniques to solve complex problems and drive business decisions.

ADDITIONAL RESPONSIBILITIES

• Lead data-driven innovation for enterprise, including investigation, adoption, and exploitation of artificial intelligence.
• Expand the organization’s analytical approaches, skills, and technologies, focusing on accelerating business value creation and transformation.
• Identify new kinds, types, and sources of trusted data to enable business value innovation throughout the organization.
• Create and oversee a centralized data management service to ensure quality, traceability, timeliness, usability, and cost-effectiveness.
• Define processes for the effective, integrated introduction of new data.
• Oversee the development and deployment of the enterprise’s data and analytics platform for digital business.