1

Msp Data Analyst Jobs (NOW HIRING)

Report Developer Analyst

Beaverton, OR ยท On-site

$49.25 - $67.25/hr

The Corporate Reporting Developer/Analyst is responsible for designing / developing / testing ... Experience and/or exposure to MSP data structures and environment. Strong verbal and written ...

The Business Intelligence Data Analyst is responsible for designing, developing, and maintaining Power BI reports, dashboards, and analytical datasets that support internal teams and external MSP ...

Direct delivery of reporting, dashboards, and analytics - performed largely by MSP vendor and external resources - with the Data Platform Lead setting technical standards; ensure delivery follows ...

next page

Showing results 1-20

Msp Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do msp data analyst jobs pay per year?

As of Sep 11, 2026, the average yearly pay for msp data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Msp Data Analyst jobs?

For Msp Data Analyst jobs, the most frequently searched job titles are:

Infographic showing various Msp Data Analyst job openings in the United States as of September 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 74% In-person, 13% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Business Data Analyst

Lexington, MA โ€ข On-site

Texas State Library and Archives Commision
Libraries and Archivesย โ€ขย 201 - 500 employees

Full-time

Re-posted 10 days ago


Job description

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.