Data Analyst
2 days ago
Job Summary:
As a Data Analyst, you will play a critical role in analyzing and interpreting data to optimize data architecture and enhance data integrity, availability, and performance. Collaborating with cross-functional teams, you will identify business needs, gather requirements, transform data and deliver solutions that enable data-driven decision making. Your insights will be pivotal in shaping requirements and ensuring we create valuable data products that meet business objectives.
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.
This job description serves as a guide for expected duties and responsibilities and is not exhaustive. Additional tasks may be assigned as necessary to meet business needs.
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