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Data Analytics Masters Jobs (NOW HIRING)

TERREPOWER

Manager, AI and Data Analytics

Irving, TX · On-site

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 ...

KPMG

Manager, Oracle Data & Analytics

Dallas, TX

KPMG is currently seeking a Manager, Oracle Data & Analytics for our Consulting practice ... preferred. * MBA or MIS from an accredited college or university is preferred. Minimum of a ...

KPMG

Manager, Oracle Data & Analytics

Dallas, TX · On-site

KPMG is currently seeking a Manager, Oracle Data & Analytics for our Consulting practice ... preferred. * MBA or MIS from an accredited college or university is preferred. Minimum of a ...

Dollartree

Manager Reporting And Analytics

Chesapeake, VA · On-site

$125K - $141K/yr

Analyze key data / metrics to identify trends and risks; developing mitigation solutions and ... Master's Degree in Analytics, MBA, or related advanced degree desired but not required Experience ...

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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.

Is 40 too late for data science?

Data Analytics Masters professionals can enter data science at any age, as skills like programming, statistics, and data visualization are learnable later in life. Many successful data scientists start or transition into the field in their 30s or 40s, and continuous learning through online courses and certifications can facilitate this career shift.

What kind of jobs can I get with a master's in data analytics?

A master's in data analytics prepares you for roles such as data analyst, data scientist, business intelligence analyst, and data engineer. These positions involve analyzing large datasets, creating reports, and using tools like SQL, Python, or R to support decision-making in various industries.

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.

Is a master's in data analytics worth it?

A master's in data analytics can enhance job prospects for data analysts and related roles by providing advanced skills in statistical analysis, programming, and data visualization. It often leads to higher salaries and more senior positions, especially when combined with proficiency in tools like Python, R, and SQL.

What is the average salary for a master data analyst?

The average salary for a master data analyst typically ranges from $70,000 to $100,000 annually, depending on experience, location, and industry. Advanced skills in SQL, data visualization tools, and statistical analysis can influence earning potential.

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.

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Data Analytics Masters jobs near you
Infographic showing various Data Analytics Masters job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 98% In-person, and 2% Remote job distribution.
Head of Private Data Products

Head of Private Data Products

Clearwater Analytics

Chicago, IL • On-site

Full-time

Posted 22 days ago

Job description

Job Summary:
Clearwater Analytics is seeking a Head of Private Data Products to lead the development and go-to-market strategy for a new Private Markets Data & Analytics platform. The role focuses on shaping how investors measure and compare private market performance, while overseeing the development of benchmarks and analytics to support institutional investors.
Responsibilities:
• Define, build, and commercialize a comprehensive suite of benchmarks, analytics, and datasets that support institutional investors and asset managers in making informed asset allocation and portfolio construction decisions across various private market sectors, including Hedge Funds, Private Equity, Private Credit/Direct Lending, Private Real Estate, and Venture Capital.
• Develop a strategic go-to-market plan that positions our platform as the leading choice for private markets data and analytics. This includes identifying target customer segments, crafting value propositions, and building a robust brand presence in the marketplace.
• Partner closely with product management, data science, engineering, and sales teams to ensure the platform meets market needs. Foster a culture of collaboration and innovation, driving the successful execution of product development and launch initiatives.
• Engage directly with customers to understand their challenges and requirements, translating these insights into product features and enhancements. Represent the company at industry conferences, workshops, and client meetings to showcase thought leadership in private markets data analytics.
• Establish methodologies for benchmarking and performance measurement that are rigorous, transparent, and trusted by the investment community. Ensure that analytics reflect current market conditions and best practices.
• Stay abreast of industry trends, regulatory changes, and competitive landscape, providing insights to inform product direction and market opportunities. Contribute to white papers, reports, and other thought leadership materials that position our firm as a key player in the private markets space.
Qualifications:
Required:
• Bachelor's degree in Finance, Economics, Business, Computer Science, or a related field; advanced degree (MBA or Master’s) preferred.
• 10+ years of experience in private markets, data analytics, investment management, or related fields.
• Strong expertise in private equity, private credit, venture capital, hedge funds, and real estate markets.
• Proven track record of developing and commercializing financial products that serve institutional investors.
• Excellent analytical skills with a deep understanding of investment performance metrics and benchmarking methodologies.
• Strong communication and interpersonal skills, with the ability to explain complex concepts to diverse audiences.
• Experience working in a cross-functional team environment, with a strong focus on collaboration and results-driven outcomes.
Preferred:
• advanced degree (MBA or Master’s)
Company:
Clearwater Analytics is a SaaS company, providing automated investment accounting, performance, and analytics for institutional investors. Founded in 2004, the company is headquartered in Boise, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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