Business Data Analyst III at Thermo Fisher Scientific #vacancy #remote

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

Git Business Analyst Data Analyst Tableau statistics data-management Data Science Python Data Engineering Azure R Software Development Engineer data-visualization Jira SQL Machine Learning ETL Product Owner Power BI Miro

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