Business Intelligence Analyst

Job Summary: The Business Intelligence Analyst in Data Science plays a critical role in understanding and defining business problems, gathering, and analyzing data, and working collaboratively with cross-functional teams to develop data-driven solutions. This position helps organizations make informed decisions by providing insights and recommendations based on data analysis.

Key Responsibilities:

Business Requirements Gathering:

• Collaborate with stakeholders, including business leaders and subject matter experts, to understand business objectives, challenges, and data-related needs.
• Translate business requirements into clear and actionable data science project specifications.

Data Collection and Analysis:

• Identify and gather relevant data from various sources, both internal and external, ensuring data quality and accuracy.
• Analyze data to identify trends, patterns, and insights that can address business challenges or opportunities.

Data Preparation and Cleansing:

• Prepare and clean data for analysis, including data transformation, data cleansing, and feature engineering.

Collaboration with Data Scientists:

• Provide data context and domain knowledge to data science teams to inform modeling and analysis.

Model Evaluation and Validation:

• Assist in evaluating and validating data science models, ensuring they align with business requirements and goals.

Reporting and Visualization:

• Create clear and visually appealing reports, dashboards, and data visualizations to communicate insights to non-technical stakeholders.

Project Management:

• Manage project timelines, tasks, and deliverables related to data science projects.
• Collaborate with cross-functional teams to ensure successful project execution.

Continuous Improvement:

• Stay updated on industry trends, best practices, and emerging technologies related to data science and analytics.
• Suggest improvements to data processes, tools, and methodologies.

Qualifications:

• Bachelor's degree in Business, Data Science, Analytics, or a related field (Master's preferred).
• Proven experience in business analysis, data analysis, or a related role.
• Strong analytical and problem-solving skills.
• Proficiency in data analysis tools and techniques, such as SQL, advanced Excel, and data visualization tools like Looker Studio.
• Familiarity with out-of-home solutions and platforms like Broadsign is a plus.
• Familiarity with data science concepts, machine learning, and statistical analysis is a plus.
• Excellent communication and interpersonal skills to facilitate collaboration with technical and non-technical teams.
• Project management skills to manage and prioritize tasks effectively.
• Ability to work independently and manage multiple projects simultaneously.
• Knowledge of data privacy and compliance regulations (e.g., GDPR, HIPAA) is beneficial.

Job Summary: The Business Intelligence Analyst in Data Science plays a critical role in understanding and defining business problems, gathering, and analyzing data, and working collaboratively with cross-functional teams to develop data-driven solutions. This position helps organizations make informed decisions by providing insights and recommendations based on data analysis.

Key Responsibilities:

Business Requirements Gathering:

• Collaborate with stakeholders, including business leaders and subject matter experts, to understand business objectives, challenges, and data-related needs.
• Translate business requirements into clear and actionable data science project specifications.

Data Collection and Analysis:

• Identify and gather relevant data from various sources, both internal and external, ensuring data quality and accuracy.
• Analyze data to identify trends, patterns, and insights that can address business challenges or opportunities.

Data Preparation and Cleansing:

• Prepare and clean data for analysis, including data transformation, data cleansing, and feature engineering.

Collaboration with Data Scientists:

• Provide data context and domain knowledge to data science teams to inform modeling and analysis.

Model Evaluation and Validation:

• Assist in evaluating and validating data science models, ensuring they align with business requirements and goals.

Reporting and Visualization:

• Create clear and visually appealing reports, dashboards, and data visualizations to communicate insights to non-technical stakeholders.

Project Management:

• Manage project timelines, tasks, and deliverables related to data science projects.
• Collaborate with cross-functional teams to ensure successful project execution.

Continuous Improvement:

• Stay updated on industry trends, best practices, and emerging technologies related to data science and analytics.
• Suggest improvements to data processes, tools, and methodologies.

Qualifications:

• Bachelor's degree in Business, Data Science, Analytics, or a related field (Master's preferred).
• Proven experience in business analysis, data analysis, or a related role.
• Strong analytical and problem-solving skills.
• Proficiency in data analysis tools and techniques, such as SQL, advanced Excel, and data visualization tools like Looker Studio.
• Familiarity with out-of-home solutions and platforms like Broadsign is a plus.
• Familiarity with data science concepts, machine learning, and statistical analysis is a plus.
• Excellent communication and interpersonal skills to facilitate collaboration with technical and non-technical teams.
• Project management skills to manage and prioritize tasks effectively.
• Ability to work independently and manage multiple projects simultaneously.
• Knowledge of data privacy and compliance regulations (e.g., GDPR, HIPAA) is beneficial.