Senior Data Insights Specialist

• Contributes advanced analytical expertise to solve a wide range of business challenges across the organization

• Conducts data exploration, modeling, and visualization to uncover insights, improve decision-making, and enhance the efficiency of data processes

• Translates business questions into analytical approaches, determining the data, methods, and tools needed to generate meaningful insights

• Performs data acquisition, preparation, cleansing, and validation to ensure accuracy and reliability of analytics outputs

• Conducts exploratory analyses, statistical evaluations, and data modeling to identify trends, patterns, risks, and opportunities

• Builds and maintains dashboards, reports, and visualizations that clearly communicate findings to diverse stakeholders

• Recommends improvements to data processes, contributing to increased automation, efficiency, and data quality

• Supports larger Data Science or advanced analytics initiatives by preparing datasets, running initial analyses, or developing foundational models

• Interprets and presents analytical results, highlighting impacts, drivers, and actionable recommendations

• Collaborates with cross-functional partners to refine requirements, validate assumptions, and ensure solutions meet business needs

Requirements

• Bachelor's degree in field relevant to role (or 4 additional years of relevant experience in lieu of a degree)
• 4 – 6 years of relevant experience
• Proficiency in analytical tools and languages (e.g., SQL, Python, R)
• Familiarity with data visualization platforms (e.g., Power BI, Tableau)
• Strong understanding of statistical concepts, data modeling techniques, and data quality best practices
• Effective communication skills, including the ability to translate technical findings into clear, actionable insights for non‑technical audiences
• Demonstrated ability to work with moderate complexity and adapt analytical methods to new or unfamiliar problems.

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Hard Skills

• data exploration
• data modeling
• data visualization
• data acquisition
• data preparation
• data cleansing
• data validation
• statistical evaluations
• analytical tools
• data quality

Soft Skills

• effective communication
• collaboration
• problem-solving
• adaptability
• analytical thinking