Hybrid 3 day in-office / 2 day remote after first 2 months in-office)Description:The client is seeking a dynamic and analytical Business Data Analyst to join our growing team. This role blends strategic thinking with hands-on execution across reporting, data analytics, and content development. The ideal candidate will possess a strong understanding of digital trends, artificial intelligence (AI), and industry research to help inform and drive business decisions.Key Responsibilities:Reporting & Dashboards: Develop, maintain, and automate performance dashboards and reporting tools to provide actionable insights to internal stakeholders.Analytics: Analyze business data to identify trends, opportunities, and areas for improvement; support data-driven decision-making.Industry Research: Conduct in-depth macroeconomic, industry/market, regional and competitive research to stay ahead of macro industry trends and inform strategic initiatives.AI & Digitalization: Explore and recommend AI and digital transformation tools to improve efficiency, customer experience, and innovation.Pitch Writing & Web Content: Craft compelling pitch decks, business proposals, and web content that align with brand voice and strategic market goals.Training & Knowledge Sharing: Train and support team members on tools, processes, and best practices in analytics and reporting. Collaborate with cross-functional teams to support data-driven decision-making processes.Collaboration: Collaborate with cross-functional teams to support data-driven decision-making processes.Teamwork: Contributes to creative thinking and supporting the team, believes in a teamwork approach and in facilitating change.Qualifications:Bachelor’s degree, 5+ years’ experience in Data/Computer Science, Economics, Finance, or related.Proven experience in data analysis, visualization, and AI applications.Proficiency in advanced software solutions, including, but not limited to, Salesforce, Tableau, Knime, Power Automate, Microsoft Suite (Power BI, Excel, PowerPoint, SharePoint, etc)Understanding and interest in working with Artificial Intelligence technologies.Strong analytical and problem-solving skills.Ability to challenge oneself to learn new systems, software and online tools as will arise.Excellent communication and presentation skills.Ability to work independently and as part of a team in a fast-paced, change-oriented environment.Notes:Hybrid 3 day in-office / 2 day remote after first 2 months in-office VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status
Description:The client is seeking a dynamic and analytical Business Data Analyst to join our growing team. This role blends strategic thinking with hands-on execution across reporting, data analytics, and content development. The ideal candidate will possess a strong understanding of digital trends, artificial intelligence (AI), and industry research to help inform and drive business decisions.Key Responsibilities:Reporting & Dashboards: Develop, maintain, and automate performance dashboards and reporting tools to provide actionable insights to internal stakeholders.Analytics: Analyze business data to identify trends, opportunities, and areas for improvement; support data-driven decision-making.Industry Research: Conduct in-depth macroeconomic, industry/market, regional and competitive research to stay ahead of macro industry trends and inform strategic initiatives.AI & Digitalization: Explore and recommend AI and digital transformation tools to improve efficiency, customer experience, and innovation.Pitch Writing & Web Content: Craft compelling pitch decks, business proposals, and web content that align with brand voice and strategic market goals.Training & Knowledge Sharing: Train and support team members on tools, processes, and best practices in analytics and reporting. Collaborate with cross-functional teams to support data-driven decision-making processes.Collaboration: Collaborate with cross-functional teams to support data-driven decision-making processes.Teamwork: Contributes to creative thinking and supporting the team, believes in a teamwork approach and in facilitating change.Qualifications:Bachelor’s degree, 5+ years’ experience in Data/Computer Science, Economics, Finance, or related.Proven experience in data analysis, visualization, and AI applications.Proficiency in advanced software solutions, including, but not limited to, Salesforce, Tableau, Knime, Power Automate, Microsoft Suite (Power BI, Excel, PowerPoint, SharePoint, etc)Understanding and interest in working with Artificial Intelligence technologies.Strong analytical and problem-solving skills.Ability to challenge oneself to learn new systems, software and online tools as will arise.Excellent communication and presentation skills.Ability to work independently and as part of a team in a fast-paced, change-oriented environment.
Notes:
Hybrid 3 day in-office / 2 day remote after first 2 months in-office
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