The company is seeking a Market Intelligence Data Analyst to transform raw data into actionable insights that support business decision-making by analyzing data, identifying trends, and providing data-driven recommendations.
Requirements
- Proficiency in Microsoft Excel (pivot tables, VLOOKUP, advanced formulas, macros preferred).
- Hands-on experience building dashboards in Power BI or Tableau.
- Working knowledge of Python for data manipulation and visualization.
- Strong understanding of basic statistics and forecasting methodologies.
- Proven above-average forecasting experience, including demand forecasting, sales projections, or trend modeling.
- Apply basic statistical techniques (e.g., regression, hypothesis testing, correlation analysis) and forecasting methods (e.g., time-series modeling, trend analysis, seasonality adjustments) to extract deeper insights from data.
- Experience in data analysis, reporting, and visualization.
Responsibilities
- Collect, clean, validate, and analyze data from multiple sources to ensure accuracy and reliability.
- Design, develop, and maintain interactive dashboards and visualizations in Power BI/Tableau to monitor key performance indicators (KPIs) and business trends.
- Conduct in-depth analysis of business performance, identifying patterns, correlations, and opportunities for improvement.
- Develop and automate recurring reports (Excel, PowerPoint, and BI dashboards) for both operational and executive-level stakeholders.
- Build Excel models for forecasting, scenario analysis, and ad-hoc reporting needs.
- Apply basic statistical techniques (e.g., regression, hypothesis testing, correlation analysis) and forecasting methods (e.g., time-series modeling, trend analysis, seasonality adjustments) to extract deeper insights from data.
- Partner with cross-functional teams (Sales, Marketing, Finance, Operations, etc.) to understand business questions and provide data-driven recommendations.
Other
- Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Business Analytics or a related field.
- 3–5 years of professional experience in a data analyst or senior analyst role.
- Excellent written and verbal communication skills, with the ability to translate technical findings into business-friendly language.
- Solid attention to detail, problem-solving mindset, and ability to work independently or in a team setting.
- Analytical thinking & problem-solving
