Data Analyst
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Job Summary
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: Bachelors degree in Business Administration Data Science Computer Science Statistics Management Information Systems Finance or a related field. A Masters 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
- 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.
Required Experience:
IC
Key Skills
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Data Visualization
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
About Company
The Health business of Lubrizol Life Science (LLS) is a preferred Contract Development and Manufacturing Organization (CDMO) for complex pharmaceuticals and innovative medical devices. When you partner with LLS Health, you benefit from working with us at every stage in the development ... View more
