Data Analyst

Main Responsibilities

This role will focus on data integrity, validation, reporting, and predictive analytics, ensuring that key business functions, especially Sales, Customer Service, and Operations are equipped with accurate, actionable insights. The ideal candidate is proactive, resourceful, and able to work with complex datasets across multiple sources, including Excel, Power BI (preferred), and other reporting tools. They should be comfortable with data transformation, visualization, and root-cause analysis to improve reporting accuracy and drive business performance

• Analyze large datasets from multiple sources (Excel, PBIX, CSV, API exports) to uncover trends, anomalies, and business opportunities.
• Develop predictive and preventative analytics to improve forecasting and mitigate potential risks.
• Build and maintain automated reports and dashboards in Power BI (preferred) or similar tools for real-time insights.
• Perform trend analysis on key business metrics, including call center performance, sales conversion rates, and operational efficiency
• Ensure data integrity and consistency across reports by identifying, troubleshooting, and resolving discrepancies in datasets.
• Work with cross-functional teams (Sales, Customer Service, and Finance) to verify data accuracy and validate assumptions.
• Implement data governance best practices to standardize reporting and maintain accuracy across departments.
• Own the daily, weekly, and monthly reporting processes, ensuring key stakeholders have access to timely and relevant data.
• Define KPIs and benchmarks, tracking performance across departments to identify areas of improvement.
• Support ad hoc reporting needs, providing actionable insights and visualizations to guide decision-making.
• Act as a data consultant to teams, providing guidance on best practices for data-driven decision-making.
• Work closely with Sales and Customer Service teams to track and analyze call center metrics, such as:
• First call pick-up rate
• Conversion rate
• Call resolution time
• Customer retention trends
• Provide financial insights by analyzing revenue, costs, and profitability to support leadership in strategic planning.
• Utilize Monday.com to track and manage data requests, reporting schedules, and workflow improvements.
• Support the automation of reporting processes, reducing manual effort and increasing efficiency.
• Recommend new tools, techniques, and frameworks to improve data analysis and business intelligence capabilities.
  
  

Required Qualifications

• Strong analytical skills with experience in data modeling, visualization, and trend identification.
• Advanced Excel skills (pivot tables, formulas, Power Query, data connections)
• Experience working with Power BI (preferred) or other BI tools for reporting and visualization.
• Experience with SQL, Python, or other data query languages (not required but a plus).
• Understanding of forecasting techniques and statistical analysis for predictive modeling.
• Prior experience working with project management tools like Monday.com for tracking analytics tasks.
• Familiarity with call center metrics, sales performance analysis, and operational KPIs.
• Ability to work with large, complex datasets and multiple data sources, ensuring accuracy and consistency.
• Knowledge of basic financial concepts (e.g., revenue, cost, margin analysis).
• Excellent communication skills to collaborate with teams and translate data insights into actionable strategies.
• Proactive problem-solving ability with a continuous improvement mindset to optimize reporting and analytics.
  
  
  

Why Join Us?

• Impactful Role: Be at the center of business decision-making, driving data-informed strategies.
• Collaborative Environment: Work across multiple teams, improving efficiency and data accuracy.
• Growth Opportunities: Develop expertise in business intelligence, automation, and predictive analytics.