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The Business Data Analyst will play a critical role in supporting data-driven decision-making for core PMA business functions. This position is focused on extracting valuable insights from complex datasets, creating operational reports, and developing intuitive BI dashboards tailored to business needs. Working within an enterprise reporting structure, the analyst will perform on-demand data discovery, conduct trend analysis, and develop analytics tools that empower stakeholders with meaningful insights. By ensuring data accuracy, quality and relevance, this role will support data governance activities and continuous process improvements that align with strategic objectives.

Responsibilities:

Data Analysis & Business Insights
* Conduct in-depth data analysis to support strategic business initiatives.
* Perform trend analysis and develop predictive insights to help business teams identify patterns, risks, and opportunities.
* Respond to data discovery requests and operational reports development to support key business metrics and decision-making.
* Deploy best practices and make recommendations for improved understanding.
* Translate complex data findings into actionable recommendations, presenting insights in a clear and meaningful way for non-technical stakeholders.
Enterprise Reporting & BI Dashboard Development
* Work closely with business stakeholders to understand their reporting needs, providing insights that drive data-informed decisions.
* Design, develop, and maintain interactive BI dashboards tailored to answering critical business questions, providing real-time access to critical metrics and performance insights.
* Utilize enterprise BI tools to create data visualizations that enable easy exploration of data and insights.
* Partner with stakeholders to test and refine dashboards, ensuring they align with business requirements and enhance decision-making capabilities.
* Facilitate training and support for business users on BI dashboards and reporting tools, enabling self-service access to data insights.
Data Quality Support & Validation
* Collaborate with data governance and data engineering teams to ensure high data quality and integrity in enterprise reports and dashboards.
* Perform data validation and verification as part of report development to ensure data accuracy, consistency, and relevance for business users.
* Monitor data accuracy metrics and support data issue resolution, maintaining a high standard of data quality across reporting tools.
* Demonstrate commitment to Company's Code of Business Conduct and Ethics, and apply knowledge of compliance policies and procedures, standards and laws applicable to job responsibilities in the performance of work.

* 3+ years of experience in data, analytics, or business intelligence.
* Bachelor's degree in Information Management, Data Science, Computer Science, Mathematics, Statistics, Economics, Psychology or a related field.
* Proficient in SQL for data extraction and manipulation across various data sources.
* Strong analytical skills to interpret complex datasets and draw actionable insights.
* Experience with BI platforms like QlikSense or Power BI for data visualization and dashboard development.
* Familiar with advanced Excel functions for data manipulation and reporting.
* Understanding of statistical methods and trend analysis for identifying patterns and creating projections.
* Familiar with predictive modeling or basic machine learning concepts is a plus.
* Proficiency with scripting languages or tools (such as Python, R, or VBA) for process automation is a plus.
* Basic understanding of data integration, ETL processes, and data warehousing concepts.
* Skilled in presenting data in a way that tells a compelling story and drives informed decision-making.
* Strong interpersonal skills to work effectively with cross-functional teams in underwriting, finance, and IT.
* High level of precision in data analysis, ensuring reports and insights are accurate and free of errors.
* Analytical mindset to investigate data challenges, identify root causes, and develop efficient solutions.
* Ability to adapt to evolving data requirements and troubleshoot issues with minimal supervision.
* Strong organizational skills to balance multiple projects and meet reporting deadlines.
* Effective time management to handle ad hoc requests and prioritize tasks in a fast-paced environment.
* Open and motivated to learn new tools, methods, and data practices.

Overview

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech

Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:

1. Students are our top priority.

2. We strive for excellence.

3. We thrive on diversity.

4. We celebrate collaboration.

5. We champion innovation.

6. We safeguard freedom of inquiry and expression.

7. We nurture the wellbeing of our community.

8. We act ethically.

9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

The Georgia Institute of Technology is a top 10 public research university with nearly 40,000 students who study in person at the main campus in Atlanta, at Georgia Tech-Europe in France, as well as through distance and online learning.

Georgia Tech is distinguished by its commitment to improving the human condition through advanced science and technology.
Accredited by the Southern Association of Colleges and Schools (SACS), the Institute offers nationally recognized undergraduate and graduate programs in the colleges of business, computing,
design, engineering, liberal arts, and sciences.

The Office of Graduate and Postdoctoral Education (GPE) is a unit of the Office of the Provost with a mission that supports Georgia Tech's mission by providing services, advocacy, and
development programs for graduate students and postdocs, as well as oversight and strategic initiatives to graduate education.

We are seeking a postdoctoral researcher who will work under the guidance of Dr. Gaeun (Gwenn) Seo, Director of Graduate Career Development in the Office of the Vice Provost for Graduate and Postdoctoral Education at Georgia Institute of Technology. The postdoc will contribute to a multi-year, federally funded research initiative that examines how industry-engaged graduate funding structures shape Ph.D. student success, faculty research environments, and institutional policy. This project will examine industry-engaged flexible graduate funding models that combine traditional funding mechanisms (e.g., research assistantships, fellowships) with externally supported funding, such as internships and industry-sponsored appointments. The study will compare outcomes for Ph.D. students in these flexible funding arrangements with regard to financial security, research engagement, career decision-making, and time to degree, as well as impacts on faculty research strategies, mentoring practices, and institutional policies. Using a mixed-methods design, the project will integrate surveys, interviews, and longitudinal institutional data across STEM disciplines and stakeholder groups.

The postdoctoral researcher will play a central role in this work, with primary supervision provided by Dr. Seo and additional input from the projects PI/CoPIs. The postdoc will contribute to the design and implementation of data collection instruments, conduct quantitative and qualitative analyses, and synthesize findings to generate evidence-based insights that inform institutional decision-making. Through regular engagement with the research team, the postdoc will support the translation of empirical results into scholarly publications and actionable guidance for institutions seeking sustainable and scalable approaches to graduate education funding.

This is a two-year, renewable position contingent on performance. The postdoc will receive research and professional development mentoring and, as time permits, may pursue related projects and develop an independent line of scholarship aligned with the broader research agenda.

Key Responsibilities -

• Design, pilot, and implement quantitative and qualitative data collection instruments (surveys, interview guides) in collaboration with the research team and an external research consultant.
• Conduct data cleaning and management and analyze quantitative and qualitative data, including longitudinal institutional datasets
• Apply statistical modeling techniques (e.g., regression, factor analysis, SEM) and qualitative coding methods.
• Contribute to manuscripts, conference presentations, and public dissemination of findings.
• Participate in interdisciplinary team meetings and collaborate with faculty, administrators, and external partners.
• Support IRB coordination and ensure compliance with NSF data management and human subjects protocols.

Required Qualifications

• Ph.D. in Education, Educational Psychology, Higher Education, Human Resource Development, Learning Sciences, Educational Policy, or a related field (degree must be completed by appointment date).
• Demonstrated expertise in mixed-methods research, with strong quantitative analysis skills.
• Experience designing or implementing surveys and analyzing large datasets
• Proficiency in statistical software (e.g., SPSS, R, MATLAB, or Python)
• Excellent written and verbal communication skills, including experience preparing manuscripts or reports.
• Ability to work collaboratively with faculty, administrators, and research partners in higher education settings.

* Experience in implementing educational research in higher education

* Knowledge of higher education research, graduate education, or workforce development.

* Experience in longitudinal or institutional data analysis.

Position Title: Postdoctoral Research Associate
Anticipated Start: Preferably June 2026; no later than August 1, 2026.
Salary Range: $65,000-$70,000 per year (commensurate with experience)

When submitting the application, please include:

1. Curriculum Vitae

2. Cover Letter summarizing research experience and alignment with the project

3. One sample publication or writing sample

4. Contact information for three references

5. Please submit the following materials as a single PDF

Review of applications will begin on March 16 and continue until the position is filled.

The University System of Georgia is comprised of our 25 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

This is not a supervisory position.
This position does not have any financial responsibilities.
This position will not be required to drive.
This role is not considered a position of trust.
This position does not require a purchasing card (P-Card).
This position will not travel
This position does not require security clearance.

Successful candidate must be able to pass a background check. Please visit employment/pre-employment-screening

Open date: February 2, 2026

Most recent review date: Monday, Feb 23, 2026 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Friday, Jul 31, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Institute for Business and Social Impact at UC Berkeley seeks to hire a postdoctoral scholar who applies pioneering, rigorous empirical analysis to policy-relevant questions in applied economics, development, mental health, labor, or closely related fields.

We are especially interested in candidates whose work combines empirical causal inference, administrative or large-scale data, and topics related to development, labor markets, mental health (broadly defined, e.g., measurement, interventions, behavioral mechanisms, digital or light-touch mental health tools), or behavioral economics. We welcome applicants with strong foundations in empirical methods in economics and/or experience designing, implementing, or overseeing large-scale randomized controlled trials.

The ideal postdoctoral scholar will have demonstrated excellence in using modern empirical methods-including econometrics, experimental and quasi-experimental techniques, and/or machine learning approaches for prediction and causal inference-to study policy-relevant questions in development, labor, mental health, or related fields. We seek a postdoctoral scholar who bridges applied microeconomics with behavioral and mental-health insights, using empirical and machine-learning tools to study social and economic policy.

Duties of Position:

The position offers direct engagement in new and exciting research opportunities and personal mentorship from faculty and researchers on the team. The postdoctoral scholar will gain an expanded network of collaborators and become a member of the UC Berkeley research community by actively participating in seminar series and internal workshops to present and receive feedback on their work.

The postdoctoral scholar will be expected to join and develop a research agenda in collaboration with their supervisor and Faculty Director, Paul Gertler, along with Laura Chioda, IBSI's Chief Data Scientist, and IBSI's network of researchers.

Ph.D. (or equivalent international degree), or enrolled in a Ph.D. or equivalent international degree program at the time of application.

* Ph.D. (or equivalent international degree) by the start date.

* No more than three years of post-degree research experience.

Ph.D. holders in economics and related fields specializing in applied microeconomics, development, mental health, or behavioral economics are invited to apply.

We particularly encourage applications from postdoctoral scholars whose work integrates theory-driven mechanisms with rigorous empirical analysis, including field experiments (RCTs) or the use of large-scale administrative datasets. Experience developing research projects in collaboration with non-academic stakeholders-such as NGOs, governments, or industry partners-is highly valued.

Preferred Technical & Professional Skills

* Advanced Programming: Proficiency in R, Stata, and/or Python.

* Computational Expertise: Familiarity with machine-learning methods for prediction and causal inference, including experience with unstructured data.

* Quantitative Foundation: Strong skills in econometrics and statistics, backed by advanced doctoral coursework.

* Data Management: Excellent organizational capabilities and experience managing complex datasets.

* Communication & Collaboration: Fluency in English with the ability to communicate research findings clearly and work effectively within a multi-disciplinary team.

Professionalism: High degree of self-motivation, flexibility, and the ability to manage multiple workstreams efficiently.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Writing Sample - Job Market Paper or one PhD dissertation chapter- or article length writing sample.

  
  

• Research Agenda - A 1-page summary of your research agenda non-technical language, suitable for a broad audience outside of your discipline

  
  

• 3-5 required (contact information only)

References should be from individuals who are familiar with the applicant's written work and qualifications for the position.

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Open date: November 2, 2025

Most recent review date: Monday, Dec 1, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Tuesday, Mar 31, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Haas School of Business at the University of California, Berkeley is seeking highly motivated individuals for the position of Junior or Assistant Specialist. The positions are to assist in research in economic development, labor, and health economics, applying rigorous methods for causal inference and machine learning .

The Institute for Business and Social Impact (IBSI) was launched in November 2013 at the Haas School of Business to train and empower leaders to address society's most pressing challenges. As part of the top-ranked Haas School of Business at UC Berkeley, IBSI advances pioneering research at the intersection of business and social impact, with particular focus on workforce skills development, financial inclusion, and mental health in organizational settings. Building upon the school's unique and historic commitment to comprehensive excellence in research and public education, IBSI translates rigorous academic inquiry into actionable solutions that improve lives and strengthen communities worldwide. The candidate would work at the Haas School of Business IBSI under the supervision of Laura Chioda (manager) and Professor Paul Gertler.

General Duties:

• 
  
• Research Design & Analysis (20%): Assist in designing and interpreting analyses using advanced econometric methods, including reduced form approaches (difference-in-differences, regression discontinuity, instrumental variables) and structural econometrics (method of moments, maximum likelihood, dynamic programming), with a focus on causal inference.
  
• Data Collection & Field Operations (15%): Support the design and implementation of field experiments, survey development, and primary data collection activities; monitor data quality and coordinate with field teams to ensure research protocols are followed.
  
• Data Management & Programming (20%): Write efficient, well-documented code to manipulate large datasets and implement complex analyses; maintain data infrastructure using collaborative and replicable programming practices.
  
• Quality Assurance & Documentation (15%): Clean and validate data, identify and resolve technical issues with datasets or code, and maintain comprehensive documentation of all research procedures and analytical decisions.
  
• Research Communication (10%): Prepare materials for research manuscripts, project reports, and presentations; generate publication-ready tables, graphs, and visualizations that effectively communicate findings.
  
• Collaboration & Knowledge Sharing (20%): Work closely with faculty, research team members, and external collaborators to advance ongoing analyses, share methodological expertise, and contribute to the broader research agenda.
  

Department: ibsi/

• 
  
• The minimum qualification to be enrolled in a Bachelor's Degree, or equivalent international degree program at time of application.
  

• 
  
• A Bachelor's Degree, or equivalent international degree at the start of appointment.
  

• 
  
• A Bachelor's degree or in a quantitative field, including Computer Science, Mathematics, Economics or related and theoretical and practical application of a body of highly specialized knowledge in Economics. An advanced degree by start date is preferred.
  
• At least one year of experience as predoc. Scholars with strengths in applied micro-econometrics, field experiments, survey and applied data science (including machine learning and computational methods fare particularly encouraged.
  
• Advanced proficiency in the following coding languages: Proficiency in Coding Languages: R, Java, Python. Demonstrated experience with large and complex data sets.
  
• Demonstrated proficiency to work as part of a research team and/or previous experience working with data in a research context, including data collection.
  

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Research (Optional)

  
  

• 1-3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Job Description:

We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what's possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what's next to power infinite possibilities for our customers, colleagues and society at large.

About the Role:

We are seeking a highly skilled and experienced Data Analyst with Power BI Specialty to join a dynamic team of marketing analysts in driving forward our mission to transform business and ad tech data into valuable marketing insights. As a Data Analyst / Power BI Specialist in the Wiley Marketing team, you will play a crucial role developing strategically important shared data models for reports that influence strategic decision-making, shed light on campaign performance, and ensure the success of our publishing initiatives. We're looking for a methodical, future-thinker, who can support and guide others in the team to do the same. We have rich data landscape at our fingertips; this role is a key advocate in its practical application to benefit marketing effectiveness.

How you will make an impact:

• Develop and maintain shared semantic models in Power BI using star schema design.

• Develop SQL queries to extract and manipulate data from our BigQuery database for use in Power BI.

• Define and implement best practice report/data management through Microsoft Fabric integrations

• Review and maintain reports for performance optimizations, style consistency, and best practice improvements.

• Consult on and support building a data model and structure that enables efficient and accurate reporting and analysis.

• Consult on wireframe design during the early stages of building new reports to provide guidance on effective visualization and user experience.

• Consult on the development of strategically insightful reporting dashboards with actionable insights to support key stakeholder decision-making processes.

We are looking for people who have:

• Experience (4+ years) in Data Modelling, Data Analysis, or similar.

• Demonstrated experience with Power BI, semantic models, and other Microsoft Fabric tools.

• Demonstrated proficiency creating SQL queries to manipulate large datasets.

• Strong analytical and problem-solving skills, with a focus on best practice and data governance.

• Strong attention-to-detail, with the ability to organize and maintain datasets using meticulous, self-determined methods.

• Strong communication skills, with the ability to define requirements and explain technical concepts to both technical and non-technical stakeholders.

• Experience with BigQuery or other data warehousing platforms.

We power infinite possibilities.

For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing-creating impact that reaches everywhere.

We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives.

Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything.

Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact for assistance.

We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow.

We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles either in the United Kingdom, Canada or USA. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies.

When applying, please attach your resume/CV to be considered.

Salary Range:

Job Posting Title:

Location:

• Support the Regional MP&L team (USA, Canada, Mexico) with data analysis, reporting, and cross-functional coordination
• Prepare, structure, and interpret data to enable informed decision-making across Transportation, Packaging, Inventory, and Customs
• Report directly to the Team Manager, Regional MP&L

Key Responsibilities

• Analyze and consolidate operational data from Transportation, Packaging, Inventory, and Customs
• Prepare structured datasets in Excel (including Power Query / Power BI tools) to support business decisions
• Develop recurring and ad‑hoc reports for performance monitoring across MP&L functions
• Monitor key operational KPIs and identify variances, trends, and improvement opportunities
• Combine and link data sources from different domains to create a unified analytical view
• Support Customs data analysis, including classification trends, duty impact, and compliance metrics
• Contribute to improving data accuracy, completeness, and compliance across all MP&L reporting streams
• Assist with the creation of dashboards, templates, and standard formats for recurring analytics
• Provide timely insights and recommendations to improve logistics efficiency and cost performance

Required Skills & Qualifications

• Strong analytical mindset with the ability to work with large datasets
• Advanced Excel skills (pivot tables, formulas, data modeling)
• Experience with Power Query, Power BI, or similar data transformation tools
• Ability to combine, merge, and reconcile data from multiple sources
• Familiarity with logistics, supply chain, or customs-related data (preferred)
• Excellent attention to detail and structured working style
• Ability to communicate insights clearly in both written and visual formats
• Bachelor’s degree or college degree in Supply Chain, Business, Data Analytics, or a related field

Preferred Experience

• Initial work experience or internship in supply chain, logistics, or data analytics
• Knowledge of transportation, packaging, inventory processes, or customs documentation
• Experience working in an international or multi‑regional environment

Personal Attributes

• High level of curiosity and motivation to explore and understand complex data
• Proactive and self-driven individual with a continuous improvement mindset
• Strong problem-solving skills and ability to work independently with minimal supervision
• Organized, reliable, and comfortable working with deadlines
• Team player with strong interpersonal communication skills

• Provide strategic statistical leadership for oncology clinical programs from Phase 1 through regulatory submission.
  
  
• Contribute to Clinical Development Plans, study protocols, and Statistical Analysis Plans (SAPs).
  
  
• Oversee design, analysis, and interpretation of clinical trial data, including interim analyses and Clinical Study Reports (CSRs).
  
  
• Establish and maintain statistical standards and methodologies across clinical, translational, and pharmacology datasets.
  
  
• Manage and mentor biostatistics staff, programmers, consultants, and vendors to ensure high-quality statistical outputs (TFLs, analyses, datasets).
  
  
• Review and approve key study documents including protocols, SAPs, CRFs, CSRs, and publications.
  
  
• Represent biostatistics in cross-functional discussions and regulatory interactions.
  
  
• Translate scientific questions into rigorous statistical approaches and clearly communicate results to diverse stakeholders.
  
  
• Ensure compliance with regulatory expectations and stay current with evolving statistical methodologies and industry standards.
  
  

• Ph.D. or M.S. in Statistics or related field.
  
  
• 12+ years of biostatistics experience in pharmaceutical drug development, including 8+ years in oncology.
  
  
• Extensive hands-on experience developing complex protocols and SAPs and performing analyses from early-phase through submission.
  
  
• Direct involvement in multiple NDA/BLA submissions with successful oncology approvals.
  
  
• Deep expertise in clinical trial design and advanced statistical methodologies, including time-to-event analyses.
  
  
• Proven leadership experience in cross-functional environments with strong communication and organizational skills.
   
  
  

Estimated Min Rate: $125.00
Estimated Max Rate: $145.00

What’s In It for You?
We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:

• Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
• Health Savings Account (HSA) (for employees working 20+ hours per week)
• Life & Disability Insurance (for employees working 20+ hours per week)
• MetLife Voluntary Benefits
• Employee Assistance Program (EAP)
• 401K Retirement Savings Plan
• Direct Deposit & weekly epayroll
• Referral Bonus Programs
• Certification and training opportunities

Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.

Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Visit to contact us if you are an individual with a disability and require accommodation in the application process.

For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice: