Senior Data Analyst

Summary 

The Senior Data Analyst validates business system requirements with detailed acceptance criteria used by the technical team to provide functionality necessary to meet business objectives. The individual will work in a collaborative team environment that delivers analytical solutions across multiple divisions. This position will lead the business analysis effort to identify, clarify, document, and manage business system requirements of Data Analytics teams in the company.  

Minimum Qualifications  

• Bachelor’s Degree in Engineering / Business / Information Technology / Data Science / Math / Statistics or related field, with an emphasis on data analytics. 

• 5+ years experience in a business environment performing analysis, requirements gathering, and problem solving  

• Hands-on experience in data analysis, preferably with working knowledge of tools such as Python, SQL, PowerBI 

• Excellent verbal and written skills that allow effective communication with business and technical teams 

• Strong problem-solving and critical thinking skills in a fast-paced environment 

Preferred Qualifications 

• An MBA with a diploma/certification course in Data Analytics  

• Proficiency in data visualization & presentation  

• Hands on experience in Microsoft Azure Suite (including Power BI)  

• Experience working with various Data & Analytics teams such as Data Integration, Visualization, Data Science, Data Warehousing and Business Intelligence teams  

• Experience working across global cross-functional teams with digital programs 

Key Responsibilities  

• Provide data and business analysis support to the Analytics team  

• Liaise with product and business owners to discover and translate functional and non-functional requirements 

• Agile learner to become a trusted subject matter expert and explorer in business domains and capabilities assigned  

• Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks  

• Understand business needs and create conceptual data models by adhering to the best practices 

• Engage with internal business leaders to understand their challenges and deliver robust, data driven solutions. 

• Work alongside global teams to solve data-intensive problems using standard analytical frameworks, tools and data visualization methods. 

• Be encouraged and expected to innovate and be creative in your data analysis, problem solving and presentation of solutions. 

• Have the opportunity to present the results of your work within the organization, offering actionable insights that have a measurable impact on business. 

• Network and collaborate with several internal business units to define and deliver joint solutions. 

• Actively engage in the broader analytics community and act as a conduit to new ideas and innovations for the organization. 

• Have access to growth opportunities that come with being actively engaged with data science projects within the organization. 

• Have the unique opportunity to create solutions intended to impact the world’s challenges around water safety and scarcity. 

• Partner with customers and leading digital companies to leverage cutting edge technology (machine learning, computer vision, LLM, NLP, streaming analytics, big data, IOT) to creatively solve problems and disrupt existing business models. 

The role would be a good fit for an individual –  

• with a problem-solving mindset; having the ability to understand business challenges and how to apply their analytics expertise to solve them. 

• who can present complex analytical solutions in a simple manner that most will understand, using data visualization techniques to tell a story with data. 

• excited by innovation and new technology and eager to finds ways to employ these innovations in practice. 

• with a team mentality, empowered by the ability to work with a diverse set of individuals. 

• having a passion for data, with a particular emphasis on data visualization.