Research Analyst (225-805)

A Research Analyst plays a crucial role in driving business growth and innovation by transforming data into actionable insights. This position requires a meticulous, detail-oriented mindset combined with strong analytical skills. As a Research Analyst, you'll gather, analyze, and interpret complex datasets to assess trends, forecast outcomes, and support strategic decision-making. You will collaborate with various departments to ensure that the insights and data services provided align with the overall objectives of the organization. Your work will influence decisions across marketing, finance, operations, and more, fostering a data-driven approach to business opportunities. A successful Research Analyst has a passion for data integrity and can communicate complex information in a clear, concise manner.

Responsibilities

• Collect and analyze data from multiple sources to generate detailed reports.
• Identify trends and patterns within datasets that can inform business strategy.
• Create comprehensive research reports clearly communicating findings and suggestions.
• Collaborate with cross-functional teams to define research objectives and methodologies.
• Utilize statistical software to interpret complex data sets and create projections.
• Develop and maintain databases to ensure information accuracy and accessibility.
• Present research findings to senior management and other stakeholders regularly.
• Ensure all data collection and strategies adhere to organizational policies and ethical standards.
• Assist in designing surveys and other data collection tools for quality research.
• Continuously update knowledge on market trends and emerging research methodologies.
• Evaluate existing research processes and recommend improvements for enhanced efficiency.
• Support marketing and product teams in understanding consumer behavior and preferences.

Requirements

• Bachelor’s degree in statistics, mathematics, economics, or a related field.
• Proven experience in data analysis, research, or a related field is preferred.
• Strong proficiency with statistical software, such as SPSS, SAS, or R.
• Excellent communication skills to clearly present complex data concepts.
• Detail-oriented with strong organizational and problem-solving skills.
• Ability to manage multiple projects and meet deadlines under pressure.
• Strong understanding of data privacy and ethical research standards.