ZipRecruiter

Log In

1

Data Analytics Masters Jobs (NOW HIRING)

Magna

Manager Data Analytics & Engineering

Lowell, MA · On-site

$105K - $196K/yr

Bachelor's Degree in Data Science, Computer Science, Mathematics or related field required, Masters Degree strongly preferred * 8+ years of experience in data engineering and data analytics required ...

Magna

Manager Data Analytics & Engineering

Lowell, MA · On-site

$105K - $196K/yr

Bachelor's Degree in Data Science, Computer Science, Mathematics or related field required, Masters Degree strongly preferred * 8+ years of experience in data engineering and data analytics required ...

BBB

Manager, AI and Data Analytics

Dallas, TX

Position Summary The Manager, AI and Data Analytics leads the strategy, design, and delivery of ... Master's degree (MBA, MIS, or related). * Familiarity with ITIL, TOGAF, or other enterprise ...

New

next page

Showing results 1-20

People also search for

All JobsData Analytics Masters Jobs

Data Analytics Masters information

What is the difference between Data Analytics Masters vs Data Analyst?

AspectData Analytics MastersData Analyst
CredentialsTypically requires a master's degree in data science, analytics, or related fieldUsually requires a bachelor's degree in a related field; certifications can enhance prospects
Work EnvironmentAcademic, research, or advanced industry roles; often involves project-based workBusiness environments, working with data to generate reports and insights
Industry UsageUsed in academia, research institutions, and advanced analytics roles in industryCommon across industries like finance, healthcare, marketing, and technology

In summary, a Data Analytics Masters is an advanced qualification often required for specialized or research roles, while a Data Analyst is a more entry-level or mid-level position focused on analyzing data to support business decisions. Both roles share overlapping skills but differ in educational requirements and scope of work.

What are the key skills and qualifications needed to thrive as a Data Analytics professional with a master's degree, and why are they important?

To thrive as a Data Analytics professional with a master's degree, you need strong analytical skills, expertise in statistics, and advanced knowledge of data modeling, typically supported by a relevant STEM degree. Proficiency with tools such as SQL, Python, R, Tableau, and familiarity with machine learning platforms is commonly required, along with certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate. Excellent problem-solving abilities, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills and qualifications are essential for transforming raw data into strategic decisions that drive organizational success.

What is a Data Analytics Masters degree?

A Data Analytics Masters degree is a graduate-level program that focuses on teaching students advanced skills in analyzing, interpreting, and visualizing data to help organizations make data-driven decisions. The program typically covers topics such as statistics, machine learning, data mining, data visualization, and programming languages like Python or R. Graduates are prepared for careers in data science, business analytics, and related fields, where they can apply analytical techniques to solve real-world problems. This degree is ideal for individuals who want to deepen their understanding of data and pursue specialized roles in analytics.

What types of real-world projects or collaboration opportunities can Data Analytics Masters expect during their studies?

Data Analytics Masters programs often include hands-on projects where students work with real datasets from industry partners or simulate actual business scenarios. These projects typically involve teamwork, allowing students to collaborate with peers and sometimes with professionals from related fields such as business, engineering, or IT. This collaborative environment helps students develop both technical and communication skills, and provides valuable exposure to industry-standard tools and workflows. Additionally, these experiences can lead to networking opportunities and open doors for internships or job placements upon graduation.

What is a Data Analytics Masters job?

A Data Analytics Masters job typically involves analyzing large datasets to extract insights that help businesses make data-driven decisions. Professionals in this role use statistics, machine learning, and data visualization tools to interpret trends and patterns. They commonly work in industries like finance, healthcare, marketing, and technology. Strong analytical skills, programming knowledge (e.g., Python, SQL, R), and expertise in data visualization tools (e.g., Tableau, Power BI) are essential.

Is a data analyst a high salary?

Data analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, experienced analysts can achieve higher compensation, especially in tech and finance sectors.
More about Data Analytics Masters jobs
What cities are hiring for Data Analytics Masters jobs? Cities with the most Data Analytics Masters job openings:
What are the most commonly searched types of Data Analytics Masters jobs? The most popular types of Data Analytics Masters jobs are:
What states have the most Data Analytics Masters jobs? States with the most job openings for Data Analytics Masters jobs include:
What job categories do people searching Data Analytics Masters jobs look for? The top searched job categories for Data Analytics Masters jobs are:
Data Analytics Masters jobs near you
Infographic showing various Data Analytics Masters job openings in the United States as of May 2026, with employment types broken down into 21% Full Time, 75% Part Time, 2% Contract, and 2% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.
Director, Commercial Data & Analytics

Director, Commercial Data & Analytics

Krystal Biotech

Pittsburgh, PA • On-site, Remote

Full-time

Posted 16 days ago

Job description

Director, Commercial Data & Analytics
About Krystal Bio: At Krystal Biotech, we bring together the brightest and most eager minds to relentlessly pursue the discovery, development, manufacturing, and commercialization of genetic medicines to treat diseases with high unmet medical needs.
Founded in 2016, Krystal is distinguished in three powerful ways: science and technology using our patented gene therapy platform, innovative manufacturing supported by our commercial scale facilities, and a unique commercialization model that focuses on the patient's end-to-end experience.
Krystal received U.S. FDA approval for the first and only redosable gene therapy treatment, VYJUVEK®, for the treatment of Dystrophic Epidermolysis Bullosa (DEB). Krystal continues to leverage our proprietary platform to rapidly advance a robust pipeline of investigational genetic medicines in respiratory, oncology, dermatology, and ophthalmology.
Krystal is headquartered in Pittsburgh, PA, which is home to our two state-of-the-art CGMP manufacturing facilities with teams around the world and satellite offices in Switzerland, Germany, and Japan. We are a company built and run by people who care, are fearless in the face of a challenge, love the work they do, and practice the highest level of scientific integrity. As we grow, we are seeking team members that embody these values.
Job Description Summary
Krystal Biotech, Inc. is seeking a strategic and hands-on Director of Commercial Data & Analytics to lead commercial analytics strategy in support of our rare disease portfolio. This role will serve as the central driver of commercial data insights, partnering closely with Commercial Leadership, Finance, Patient Services, Market Access, and other cross-functional stakeholders to translate business strategy into measurable performance metrics and actionable insights.
The ideal candidate will bring deep rare disease commercial experience, strong business acumen, and the ability to synthesize complex datasets into cohesive, decision-driving narratives. This individual will play a critical role in monitoring execution metrics, evaluating commercial effectiveness, and ensuring leadership has clear visibility into performance trends and strategic implications.
Primary Responsibilities
  • Serve as the commercial analytics lead, translating business strategy into measurable indicators and performance dashboards across Sales, Market Access, and Patient Services.
  • Compile, analyze, and synthesize diverse data sources to generate cohesive, executive-level insights and narratives.
  • Monitor execution metrics and proactively identify trends, risks, and opportunities across the commercial organization.
  • Partner cross-functionally with Commercial Leadership, Finance, Market Access, Patient Services, and other key stakeholders to ensure alignment between strategy, performance measurement, and execution.
  • Collaborate with Finance to support forecasting processes by providing commercial insights and contextual interpretation of performance drivers; while not directly owning forecasting, ensure alignment between field execution and forecast assumptions.
  • Develop and refine commercial reporting frameworks to improve clarity, efficiency, and strategic decision-making.
  • Analyze patient services and patient journey data to provide insights that optimize access, pull-through, and overall patient experience.
  • Establish data governance standards and best practices to ensure data integrity and consistency across commercial functions.
  • Support launch readiness and post-launch performance tracking for rare disease products.
  • Present insights and strategic recommendations to senior leadership in a clear and compelling manner.
  • Identify opportunities to streamline analytics processes while maximizing impact within a lean operating structure.
  • Perform other duties as assigned.

Requirements and Preferred Qualifications
  • Bachelor's degree required; advanced degree (MBA, MS, or similar) highly preferred.
  • 10+ years of progressive experience in commercial analytics, commercial operations, or business analytics within biotechnology or pharmaceutical organizations.
  • Rare disease commercial experience required.
  • Demonstrated experience working cross-functionally in a high-growth biotech or specialty pharmaceutical environment.
  • Experience supporting commercial launch activities and post-launch optimization phase, strongly preferred.
  • Experience working closely with Finance on forecasting inputs and performance analytics preferred.
  • Experience analyzing patient services data and patient access metrics is a plus.
  • Adaptable; capable of managing priorities in a dynamic and rapidly changing business environment.

Krystal Biotech, Inc. is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Krystal Biotech, Inc. does not accept unsolicited headhunter and agency resumes. Krystal Biotech, Inc. will not pay fees to any third-party agency or company that does not have a signed agreement with Krystal Biotech, Inc.

Apply