Business Data Analyst
1 day ago
We are seeking a highly analytical and detail-oriented Business Data Analyst with expertise in
Biotech R&D data and applications. The ideal candidate will play a crucial role in transforming
complex data into actionable insights that support decision-making processes in biotech
research and development. This position requires a deep understanding of biotech R&D data,
bioinformatical sceinces, pharmacological sciences, and histology data and applications, and
the ability to translate business needs into data-driven solutions. The Business Data Analyst will
work closely with R&D, IT, and business teams to ensure that data is accurately captured,
analyzed, and utilized to drive innovation and efficiency.
Key Responsibilities:
o Work with IT and R&D teams to ensure accurate data collection, storage, and
integration across various platforms and applications.
o Work with Business Owners to analyze complex biotech R&D data and systems
and document requirements for new IT solutions.
o Work with Voyager IT and MSP partners to develop and maintain system
integrations, dashboards, reports, and visualizations to present data findings to
stakeholders.
o Work with Business Owners to understand statistical methods and data mining
techniques used to extract actionable insights from large datasets and implement
a Solution with help from Voyager IT and MSP partners.
o Implement and maintain data management processes, including data quality
checks, data cleansing, and data governance.
o Ensure that all data-related activities comply with Voyager standards
o Provide support and expertise in the use of bioinformatics and biotech R&D
applications, including LIMS, ELN, and data analysis tools.
o Collaborate with R&D teams to understand their data needs and optimize the use
of existing applications.
o Assist in the evaluation and implementation of new data tools and applications
that enhance research capabilities.
o Design and implement business intelligence solutions that align with R&D
objectives and business goals.
o Create and automate reports that track key performance indicators (KPIs)
relevant to biotech research.
o Conduct ad hoc analyses as required by business leaders and R&D teams.
o Serve as a liaison between R&D, IT, and business teams to ensure alignment on
data-related initiatives.
o Facilitate communication and understanding of data-driven insights among non-
technical stakeholders.
o Participate in cross-functional projects that involve data analysis and contribute
to strategic planning.
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