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Data Analytics Masters Jobs in Kansas (NOW HIRING)

The Advanced Analytics for Business Insights (AABI) team, part of the Portfolio Strategy & Insights ... MBA/MS with extensive knowledge of pharma data and technology * Strong understanding of the ...

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

... data analyses used in decision support activities. Responsible for the oversight of accounting ... Masters degree in Business, Business Administration, or Finance; OR a Certified Public Accountant ...

... data analyses used in decision support activities. Responsible for the oversight of accounting ... Masters degree in Business, Business Administration, or Finance; OR a Certified Public Accountant ...

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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.

What are the most commonly searched types of Data Analytics Masters jobs in Kansas? The most popular types of Data Analytics Masters jobs in Kansas are:
What are popular job titles related to Data Analytics Masters jobs in Kansas? For Data Analytics Masters jobs in Kansas, the most frequently searched job titles are:
Infographic showing various Data Analytics Masters job openings in Kansas as of July 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.
Global Data Acquisition Lead

Global Data Acquisition Lead

Genentech

Bern, KS

Full-time

Posted 10 days ago


Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

11th of 86 rated pharmaceutical


Job description

Who We are

Roche - we advance science so that we all have more time with the people we love.

The Advanced Analytics for Business Insights (AABI) team, part of the Portfolio Strategy & Insights function, is dedicated to solving complex healthcare challenges and improving patient outcomes. AABI enables our business partners across Global Pharma Strategy (GPS), Medical Affairs (PDMA), Pharma International (PI)and other functions to make impactful decisions by leveraging data, analytics, and AI to enable fast, targeted actions in rapidly evolving business contexts.

In AABI, you will work as a trusted advisor and expert, recommending critical decisions and actions to be taken with credibility and a focus on driving measurable impact. You will be part of a diverse, inclusive team that reflects the world we serve, thriving in a welcoming culture built on collaboration and innovation.

This role will report to the Head of Data Asset Management.

The Position

As the Global Data Acquisition Lead, you will be leading all data acquisitions across GTM, while also serving as the catalyst for innovation, with out-of-the-box thinking and external partnerships. This role will lead the global commercial data office (GCDO) responsible for driving the data strategy, assess market landscape, evaluate data vendors and source data assets that drive key business outcomes in support of One Pharma Strategy. You will act as a catalyst to enable the AI data ecosystem to drive key initiatives and global AI data products.

The lead will operate with an enterprise mindset and work closely with Global Procurement (GP), Finance, Roche Digital Technology (RDT) to enable the platforms and solutions; Global Privacy Office (GPO) to drive compliance policies; key data vendors and partners across the globe to drive acquisition and operations.

Key Responsibilities:

  • Run the Global Commercial Data Office to enable all commercial data acquisition across global and 80+ affiliates, governed through a centralized model, in partnership with the procurement and finance teams

  • Partner with stakeholders across GPS, PI, PD, PDMA, affiliates and Roche other divisions, serving as their data stewards/experts to drive fit-for-purpose data acquisition, training, adoption, monitoring usage/value and decommissioning

  • Establish data as an enterprise asset by x-functional partnering & serving as the data steward / expert across the enterprise

  • Lead major data acquisition contracts in partnership with procurement

  • Work in sync with data governance to enable seamless integration of data purchases in the data catalog.

  • Collaborate cross-functionally to design, build and operate an enterprise data marketplace, for easy access to information about data assets

  • Serve as the in-house expert of the existing and evolving data assets in the industry

  • Work closely with peers and senior leaders in - ecosystem insights, CI, global access, therapeutic area teams; affiliate leadership/data & insights champions; Genentech data office team - to develop and implement a harmonized data acquisition process, data on-boarding, and utilization considerations

  • Engage with data vendors to evaluate their products and offerings in alignment to our business, drive data contracts and enable cost effective enterprise/above-country data procurement strategy, where possible, to maximize the value of data

  • Serve as the internal expert for consulting on the existing data sources, along with the pros and cons of the different assets

  • Organize knowledge sharing sessions, bringing in industry experts and vendor partners with information on trends and best practices

  • Collaborate with data consumers as the data expert to help deliver actionable insights to the business

  • Accountable for resource allocation and investments both in the near-term and long-term; work with affiliate leads and finance teams to make resourcing tradeoff decisions

  • Operate with enterprise mindset, with a strong focus on outcome

Qualifications:

  • Bachelor's degree with 10+ years' experience with extensive knowledge of pharma data and technology; or 6+ years with MBA/MS with extensive knowledge of pharma data and technology

  • Strong understanding of the pharmaceutical data domain, both global and especially regional & country level ecosystem.

  • Knowledge of commercial operations and analytics approaches in biopharma including descriptive and predictive analytics

  • Understanding of emerging capabilities in natural language processing, unstructured data, etc. and potential application in pharma/health care

  • Ability to help translate complex data insights into actionable business recommendations

  • Excellent influencing and networking skills paired with stakeholder management experience in a multi-layered global environment

  • Excellent communication and stakeholder management skills, with demonstrated success in facilitating cross-functional collaboration.

  • Experience with Cloud platforms (like AWS) preferred

  • Experience in Agile methodology and execution and design thinking

  • Availability to travel internationally as required

Location:

This position can be based in South San Francisco or Basel and relocation benefits are not available.

The expected salary range for this position based on the primary location of South San Francisco, CA is $160,900 - $298,900 USD Annual. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Benefits

#LI-NN1

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.


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Benefits

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About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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