Title: Sr. Analyst, Business Research and Data Intelligence

Department: Research

Period: Permanent

Location: Remote (in person at the NY City Office, optional)

Work schedule: 35 hours a week

Start date: Flexible

Salary: $105K - $115K USD

Description:

We seek a qualified Business Research and Data Intelligence Sr. Analyst interested in applying business research, analysis techniques and creating data-driven strategies. The Business Research and Data Intelligence Sr. Analyst will drive strategic business initiatives through advanced research methodologies and data-driven insights.

This position requires a seasoned professional with a strong background in business research, data analysis, and business intelligence to lead projects and provide actionable recommendations to key stakeholders. Demonstrated experience synthesizing research and presenting findings to executives and laypersons is critical. Reporting to the Director of Product Market Research and Customer Insights, the Sr. Analyst, Business Research and Data Intelligence will:

• Manage end-to-end business research projects, including defining objectives, developing methodologies, and overseeing execution.
• Conduct complex data analysis to extract meaningful insights and trends from structured and unstructured datasets.
• Collaborate with cross-functional teams to identify business opportunities, mitigate risks, and optimize operational efficiencies based on research findings.
• Develop and maintain robust data models, dashboards, and reporting mechanisms to facilitate data-driven decision-making across the organization.
• Communicate research findings, insights, and recommendations to executive leadership and key stakeholders through compelling presentations and reports.
• Continuously assess and enhance data quality, integrity, and governance processes to ensure the accuracy and reliability of insights.

This remote position can also work flexibly in person at our office in New York City.

Minimum requirements:

• Bachelor's or Master's degree in Business Administration, Economics, Statistics, Information Systems, or related field.
• Minimum of 3 years of experience in business research, data analysis, and business intelligence roles, preferably in a corporate setting.
• Proficiency in statistical analysis tools (e.g., R, Python, SAS) and data visualization platforms (e.g., Tableau, Power BI) to analyze and present complex data sets.
• Strong understanding of research methodologies, including quantitative and qualitative techniques, to address diverse business challenges.
• Excellent project management skills with the ability to prioritize tasks, meet deadlines, and manage multiple projects simultaneously.
• Exceptional analytical and critical thinking skills with a demonstrated ability to translate data into actionable insights and strategic recommendations.
• Effective communication and presentation skills, with the ability to articulate complex concepts and findings to diverse audiences.
• Strong attention to detail, accuracy, and data integrity in all aspects of research and analysis.

The ideal candidate will have:

• A passion for data and a highly analytical mind.
• Some financial background.
• Strong knowledge of statistical methodology and programming languages.
• Ability to create workable solutions to business problems.
• Ability to assess a situation, receive stakeholder input, and select a course of action.
• Robust data analysis and problem-solving skills.
• Ability to establish and maintain good working relationships with others.
• Ability to adapt, shift priorities, and respond to various tasks.

EOE Statement: World Education Services provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. In addition to federal law requirements, World Education Services complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.