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Job Description

The presence of a Business Analyst in a Data Analytics team is indispensable, as they bridge the gap between technical expertise and business needs. They gather and translate requirements, interpret data in a business context, communicate insights effectively, mitigate risks, optimize processes, and measure the impact of analytics initiatives, ensuring alignment with organizational goals and enhancing value from data.

Responsibilities:

• Collaborate with partners to understand business objectives and translate them into data requirements.

• Play the role of a product owner.

• Collect, clean, and manipulate large datasets to extract actionable insights.

• Conduct thorough data analysis to identify trends, patterns, and insights that drive business decisions.

• Develop and maintain reports and dashboards to track key performance indicators and metrics, effectively communicating findings to partners through presentations and written reports.

• Work closely with the data engineering team to ensure data accuracy, completeness, and integrity.

• Continuously monitor metrics and performance, identifying areas for improvement and optimization.

• Stay updated on industry trends and standard processes in data analytics and business intelligence.

• Perform exploratory data analysis to uncover trends, patterns, and correlations.

• Assist in the development of data pipelines and workflows to streamline data ingestion and processing.

• Conduct ad-hoc analysis as needed to support business initiatives and projects.

Requirements:

• Bachelor’s degree in computer science, Engineering, or related field

• 8+ years of experience in Digital commerce and technology, ideally working with Engineering metrics, Data Management, Performance, Portfolio Management

• Solid understanding of Software engineering Data sets, Data Analysis, and Data Management skills

• Proficiency in SQL, Python, R, or other programming languages used for data analysis.

• Experience in Jira, Git, Azure, Miro, and ETL tools, and experience in SQL, data comparison, and Data analysis.

• Knowledge of statistical techniques and machine learning algorithms is a plus.

• Demonstrate the ability to quickly adapt modern technology and technical concepts.

• Demonstrable experience working closely with multidisciplinary teams, including seasoned engineers, to deliver exceptional products and solutions.

• Exhibit excellent written and verbal communication skills. Convey complex product details thoughtfully to diverse audiences, fostering clarity and understanding.

• .Display a keen eye for detail, strategically applying it where necessary to ensure precision and accuracy in all endeavors.

• Adopt a critical thinking approach, unafraid to pose questions and explore uncertain answers, driving continuous improvement and innovation.

• Demonstrate proactive problem-solving abilities, capable of independently identifying and resolving challenges. Exhibit curiosity, and share solutions and insights collaboratively to benefit the team.

• Experience with data visualization tools such as Tableau, Power BI, or Datascape

Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.