Data Analyst & Operation Specialist

• Market Assessment: Conduct data discovery and analysis to assess market trends, identify opportunities, and evaluate competitive positioning. Provide actionable insights to support business growth and strategic planning.
• Operations Assessment: Analyze income and revenue streams to identify areas for improvement and optimize operational efficiency. Monitor key performance indicators (KPIs) and provide recommendations for enhancing operational processes.
• Billing Operations: Assess and analyze billing operations, including invoicing, payment processing, and revenue recognition. Identify discrepancies, improve billing accuracy, and ensure alignment with financial objectives.
• Contract Renewals: Analyze and assess contract renewals, including evaluating terms, pricing, and customer satisfaction. Provide data-driven insights to support contract negotiations and renewals.
• Data Discovery: Utilize advanced data discovery techniques to extract, clean, and analyze large datasets from various sources. Develop predictive models and dashboards to support operational and strategic initiatives.
• Reporting & Visualization: Create and maintain reports, dashboards, and visualizations to communicate findings and recommendations to stakeholders at all levels of the organization.
• Cross-Functional Collaboration: Work closely with teams across the organization, including finance, sales, marketing, and customer support, to gather data, understand business needs, and provide analytical support.
• Process Improvement: Identify and implement process improvements in data collection, analysis, and reporting to enhance the accuracy and efficiency of operational assessments.

Requirements

• Bachelor’s degree in Data Science, Business Analytics, Operations Management, Finance, or a related field.
• 3+ years of experience in data analysis, preferably with a focus on operations or market analysis.
• Strong proficiency in data analysis tools (e.g., Excel, SQL, Python, R) and data visualization software (e.g., Tableau, Power BI).
• Experience with data discovery, data cleansing, and creating predictive models.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to interpret complex data and provide actionable insights.
• Strong attention to detail and accuracy in data analysis and reporting.
• Excellent communication and presentation skills, with the ability to convey technical information to non-technical stakeholders.
• Experience in the technology or telecommunications industry is a plus.