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Senior Visualization Developer

Objectives and Purpose

• The Senior Visualization Developer helps transform quality datasets into creative, user-friendly dashboards that address business needs and drive informed decision-making across the enterprise. This individual reports to the Lead Visualization Developer and regularly partners with Data Engineering teams on data quality and troubleshooting needs.
• The Senior Visualization Developer will:
  • Build user tools, dashboards, and automatic report generation tools to analyze and present data associated with product and solution performance, business operations, and data-driven decision-making.
  • Execute in-depth quantitative analysis and produces clear, detailed visualizations to facilitate informed decision-making across the organization.
  • Engage with other Business Units to gather business objective requirements, influence service management, and build tools to properly build visualizations that support the needs of the partner teams.

Your key responsibilities

Data Visualization

• Develop and implement data visualization solutions, using tools such as Power BI according to the needs and requests of business stakeholders.
• Conduct pre-production testing, including unit testing and any additional data validation checks on the developed reports. Also provide final verification of data accuracy against data sources and testing the functionality of essential report features.
• Review and ensure all the required documentation for the deployment activities including the change requests (CR), underlying process flows, and UAT approvals.
• Support the creation of the wireframes and ensure right flows and best practices for Data Visualization are followed for business stakeholders.
• Design and implement complex data visualizations, incorporating multiple data sources and optimizing performance for large-scale data sets.
• Monitor and analyse the performance of Power BI solutions and make necessary adjustments to optimize performance.
• Ensure source data is being retrieved accurately, when utilizing programming functions (e.g., SQL, DAX, Python) for data visualization solutions, dashboards, and reports.
• SQL hands-on expertise to effectively implement data queries and analysis.
• Remain aware of emerging data visualization tools and technologies, validating that the team effectively applies data visualization best practices to solutions, tools, & techniques.
• Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data visualization solutions.
• Collaborate with Business Analyst and Lead Data Visualization Developer to translate gathered requirements into detailed technical specifications (targeted user stories) and understand how to apply business requirements to dashboards and reports, effectively meeting the asks from business partners.
• Engage in interdisciplinary discussions with the ETL, Data Engineering, and business team.
• Manage demand intake process with multiple stakeholders and help with the request(s) prioritization.
• Apply best practices in data modelling and optimization to ensure sound solution design, logical development, and architecture.
• Manage communications and deliver reports to a wider stakeholder audience.
• Possess strong business acumen with knowledge of the Pharmaceutical, Healthcare, or Life Sciences sector is preferred, but not required.
• Illustrate mastery of creating interactive and visually appealing dashboards, reports, and visualizations leveraging Power BI.
• Demonstrate advanced knowledge of how to optimize queries (SQL), data sets, 'Big Data' pipelines, and visualizations for structured and unstructured data.
• Delegate tasks and responsibilities effectively, trusting team members to deliver results.
• Possess strong data-driven decision-making skills, ability to prioritize projects, resource allocation, and conflict resolution when challenges arise within data visualization projects.
• Demonstrate honesty, integrity, and ethical behaviour, while ensuring that sensitive information is handled responsibly and in compliance with regulations.
• Seek feedback from stakeholders, evaluates the outcomes of their decisions, and reflects on lessons learned for future decisions.
• Be passionate about re-imagining new solutions, processes, and end-user experience by leveraging digital and disruptive technologies and developing visualization solutions.
• Show advanced expertise in integrating disparate data sets seamlessly, understanding and applying data integration techniques.
• Demonstrate expertise in advanced analytical techniques to uncover insights and patterns in large, complex data sets.
• Display an action-oriented mindset when analysing data challenges, identifying root causes, and proposing potential solutions.
• Execute full software development life cycle (SDLC)

Relationship Building and Collaboration

• Extract, transform, and load data from Databricks into a single, consistent data source within Power BI, partner closely with Data Engineering team for data sources.
• Assist the business in understanding, validating, and meeting their data visualization and reporting needs, maintaining adherence to documentation standards for tracking intake forms and solutioning processes.
• Coordinate with the Data Science team to define automation strategy, including datasets and metrics.
• Advise, mentor, and coach Visualization Developers on data visualization best practices, promoting the values of learning and growth.
• Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data visualization solutions.

Skills and attributes for success

Technical/Functional Expertise

• Proven experience and understanding of how to test and develop reports, ensuring that all features operate effectively.
• Strong business acumen with knowledge of the Pharmaceutical, Healthcare, or Life Sciences sector is preferred, but not required.
• Ability to develop interactive and visually appealing dashboards, reports, and visualizations leveraging Power BI.
• Ability to build and optimize queries (SQL), data sets, 'Big Data' pipelines, and visualizations for structured and unstructured data.

Leadership

• Proven understanding of how data visualizations can be leveraged to meet business objectives and needs.
• Ability to develop and execute strategic plans for data visualization projects, setting realistic goals for how the visualizations can help support the organization’s strategy.
• Advocate of a culture of collaboration and teamwork amongst a group of diverse stakeholders and team members.

Decision-making and Autonomy

• Shift from manual decision-making to data-driven, strategic decision-making.
• Demonstrates honesty, integrity, and ethical behaviour, while ensuring that sensitive information is handled responsibly and in compliance with regulations.

Interaction

• Track record of creating interactive data sets that can engage users and facilitate the exploration of data in a user-friendly way.
• Creates storyboards, narratives that guide users through the data story, conveying key messages effectively to meet business needs.
• Understands how to apply business requirements to dashboards and reports, effectively meeting the asks from business partners.

Innovation

• Passion for re-imagining new solutions, processes, and end-user experience by leveraging digital and disruptive technologies and developing visualization solutions.
• Advocate of being open to applying new ideas, displays comfortability when identifying potential best practices from the data visualization field.

Complexity

• Proven expertise in integrating disparate data sets seamlessly, understanding and applying data integration techniques.
• Comfortability with advanced analytical techniques to uncover insights and patterns in large, complex data sets.
• Experience analysing complex-related data challenges, identifying root causes, and proposing potential solutions.

To qualify for the role, you must have the following:

Essential skillsets

• Bachelor’s degree in computer science, Data Science, Information Systems, or related field
• 3+ years of experience as a Visualization/Power BI developer or a similar role, with a portfolio showcasing your work
• Strong understanding of refining, developing, and testing reports to meet business and stakeholder needs
• Deep understanding of data modelling, data warehousing, and data integration concepts, with ability to design and implement robust data models that support visualization requirements
• Demonstrated understanding and experience using:
  • Power BI
  • Data Engineering Programming Languages (i.e., Qlik, SQL, Python)
  • Relational SQL databases
  • Databricks/ETL
• Validates and transforms data from multiple external/internal sources using Databricks Lakehouse/Data Lake, supporting the integration of data into a single, consistent source to serve business users and data visualization needs
• Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions
• Ability to negotiate the scope of the problem through a business lens, leveraging data visualization solutions
• Expertise working with large, complex data sets and drawing useful insights from data crunching and manipulation
• Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners
• Highly self-motivated, ability to act independently and execute deliveries while being in an agile environment

Desired skillsets

• Degree in Engineering, Data Science, Computer Science, Statistics, or related field
• Experience in a global working environment
• Proven experience in Python

Travel requirements

• Access to transportation to attend meetings
• Ability to fly to meetings regionally and globally

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