Business Intelligence Analyst

at  Mainstream Fiber Networks

KEY QUALIFICATIONS:

• High School Diploma, or equivalent education, required.
• Bachelor’s degree in business administration, Statistics, Economics, Computer Science, or related field preferred.
• Proven experience in business intelligence, data analysis, or related roles, preferably in a corporate environment.
• Proficiency in data manipulation and analysis tools such as SQL, Python, or similar technologies.
• Strong analytical skills with the ability to translate complex data into actionable insights.
• Excellent communication and presentation skills, with the ability to effectively convey technical concepts to non-technical audiences.
• Experience with HubSpot and BI tools including Tableau and Power BI for creating reports, dashboards, and visualizations.
• Ability to work independently and collaboratively in a fast-paced, dynamic environment.
• Strong attention to detail and commitment to delivering high-quality work under tight deadlines.

ABOUT THE ROLE:

The role of Business Intelligence Analyst is responsible for integrating and analyzing data to uncover insights that drive strategic decisions. This role involves a combination of technical prowess in handling data through SQL, Python, and Power BI, and strategic thinking to assess customer patterns and market opportunities.

KEY RESPONSIBILITIES:

• Gather data from multiple sources, including databases, spreadsheets, MSFN-specific systems, web analytics tools, HubSpot, Tableau, Power BI, and external vendors.
• Clean, validate, and integrate data to ensure accuracy, consistency, and completeness across multiple platforms.
• Apply statistical and analytical techniques to analyze large datasets and extract meaningful insights for visualization in HubSpot, Tableau, and Power BI.
• Develop and maintain dashboards, reports, and visualizations in HubSpot, Tableau, and Power BI to communicate findings to stakeholders effectively.
• Identify trends, patterns, and correlations to uncover business opportunities and challenges.
• Conduct thorough root cause analysis to understand the factors driving key performance indicators (KPIs) and business outcomes.
• Present complex data and analysis in a clear and concise manner, leveraging visual storytelling through Tableau, Power BI, and HubSpot.
• Continuously refine and improve reporting mechanisms to enhance decision-making processes.
• Utilize predictive analytics techniques to forecast future trends and outcomes.
• Build and validate predictive models to support strategic planning and resource allocation decisions.
• Monitor model performance and adjust as necessary to improve accuracy and reliability.
• Partner with cross-functional teams to understand business objectives, requirements, and priorities.
• Engage with stakeholders to gather feedback, address concerns, and ensure alignment on data-driven initiatives.
• Act as a trusted advisor to business leaders, providing insights and recommendations to support informed decision-making.
• Stay current with industry trends, best practices, and emerging technologies in the field of business intelligence and analytics.
• Identify opportunities for process optimization, automation, and innovation to enhance the efficiency and effectiveness of BI solutions.
• Drive a culture of data-driven decision-making throughout the organization by promoting the value of business intelligence and analytics.
• Fulfill other assigned tasks as necessary.