Experity is looking to solve the problem of complex data analysis and decision-making across the organization by hiring a Data Analyst to interpret complex data sets and develop actionable insights.
Requirements
- Proficiency in SQL and data visualization tools such as Tableau, Power BI, or similar platforms.
- Strong analytical and statistical skills with experience in data modeling, forecasting, and predictive analytics.
- Experience with data querying, data wrangling, and working with large data sets.
- Familiarity with programming languages such as Python or R for data analysis.
- Knowledge of data governance principles and best practices.
- Certification in data analysis, business intelligence, or related areas.
- Experience with data visualization tools and techniques
Responsibilities
- Analyze large and complex data sets to identify trends, patterns, and insights that support business objectives.
- Develop and implement data models, statistical analyses, and data mining techniques to inform strategic decision-making.
- Create and maintain dashboards, reports, and visualizations that communicate key metrics and insights to stakeholders.
- Utilize tools such as Tableau, Power BI, or similar platforms to present data in a clear and actionable format.
- Collaborate with business leaders, product teams, and other stakeholders to understand their data needs and provide insights that drive business strategy.
- Generate actionable recommendations based on data analysis to optimize processes, improve performance, and support business goals.
- Conduct advanced statistical analyses, predictive modeling, and other data science techniques to uncover deeper insights and forecast future trends.
Other
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field or equivalent combination of education and experience.
- Ability to travel as needed.
- Five years of experience in data analysis, business intelligence, or a related field.
- Excellent problem-solving skills with attention to detail and a strong focus on data accuracy.
- Ability to work independently and as part of a team in a fast-paced, dynamic environment.
