Data Analyst

Job Summary

Responsibilities

• Analyze various data types, coming from various source systems and business domains like Operations, Finance, Procurement, R&D, etc.
• Support data partners in collaborating with various stakeholders to gather and document business requirements and translate them into data and analytical requirements.
• Document logic requirements and create data flow diagrams to represent the structure, relationships, and constraints of relevant datasets
• Understand business executives' decision-making processes, workflows, and information needs, and translate these needs into analytics/reporting requirements.
• Collect, process, and analyze large datasets to identify trends, patterns, and insights that ensure the accuracy and reliability of the logic defined by stakeholders.
• Interpret results using a variety of techniques, ranging from simple data aggregation to more complex statistical analysis to identify opportunities for improvements and solve problems
• Develop analytical strategies to solve business problems by understanding the business problem, identifying relevant data, gathering and summarizing data meaningfully, and applying appropriate statistical analysis.
• Present findings and recommendations to stakeholders in a clear and concise manner.
• Collaborate with data architects, data engineers and other team members to develop and implement data solutions.
• Stay updated with industry trends and best practices in data analysis, visualization, and reporting.
  

Qualifications

Education

• Education: Bachelor’s degree in Business Administration, Data Science, Computer Science, Statistics, Management Information Systems, Finance, or a related field. A Master’s degree is a plus.
  

Experience

• 3+ years of experience in roles such as data analyst, business intelligence analyst, financial analyst, statistician, data scientist or equivalent.
• Experience with consumer-level data for analysis and reporting
• Experience collaborating with cross-functional teams.
• Substantial experience with databases and query tools.
• Proven project experience with data analysis and visualization tools such as Power BI and Excel.
• Demonstrated experience in effective communication of insights and findings to a variety of internal and external stakeholders
  

Skills

• Proficient in analyzing and presenting to various levels of stakeholders
• Ability to perform functional requirements analysis and business domain analysis
• Ability to identify patterns, correlations, and trends
• Excellent verbal and written communication skills, with the ability to convey complex data insights to non-technical stakeholders.
• Strong summarization and presentation skills
• Strong documentation skills to convey data modeling concepts
• Ability to see relationships between people, processes and data and the impact to business outcome or strategic initiatives
• Ability to work independently and in a team-oriented environment
• Ability to collaborate with cross-functional teams and stakeholders
• Ability to work with large datasets through data cleaning, preprocessing, and transformation techniques
• Excellent analytical and problem-solving skills to identify and resolve data product development issues with a keen attention to detail.
• Willingness to stay updated with the latest trends in data analysis, machine learning, and business intelligence
  

Preferred Qualifications

• Experience with programming languages such as SQL, Python, and R for data manipulation and analysis.
• Familiarity with cloud platforms like Azure, AWS, or Google Cloud. Experience working with Microsoft Fabric considered a plus.
• Experience working with agile development teams considered a plus.
• Demonstrated experience in creating reports, dashboards, and data visualizations for effective communication of insights to stakeholders.