Data Analyst - Powerhouse 91
Company Overview
Not specified.
Job Summary
The Data Analyst at Powerhouse 91 is responsible for collecting, analyzing, and interpreting complex data sets to support strategic decision-making. The role involves transforming raw data into actionable insights, creating reports, and visualizations that help the organization optimize operations and achieve its goals.
Responsibilities
- Collect, clean, and organize large datasets from various sources to ensure data accuracy and integrity.
- Analyze data to identify trends, patterns, and anomalies that can inform business strategies.
- Develop and maintain dashboards, reports, and visualizations to communicate findings effectively to stakeholders.
- Collaborate with cross-functional teams to understand data needs and provide analytical support.
- Present insights and recommendations clearly to both technical and non-technical audiences.
- Support data-driven decision-making processes by providing timely and relevant analysis.
Qualifications
- Proficiency in data analysis tools such as Excel, SQL, Python, or R.
- Experience with data visualization tools like Tableau, Power BI, or similar.
- Strong analytical and problem-solving skills.
- Excellent communication skills, with the ability to explain complex data insights clearly.
- Educational qualification: Bachelor’s degree in Statistics, Mathematics, Computer Science, or related field.
- Knowledge of database management and data warehousing concepts.
- Ability to work independently and collaboratively in a fast-paced environment.
Preferred Skills
- Experience with machine learning algorithms and predictive modeling.
- Familiarity with cloud platforms such as AWS or Azure.
- Knowledge of scripting languages for automation.
- Prior experience in the industry relevant to Powerhouse 91’s domain.
Experience
- Minimum of 2-4 years of relevant experience in data analysis or a related role.
- Proven track record of working with large datasets and delivering actionable insights.
Environment
- The role may involve a remote, hybrid, or in-office work setting, depending on organizational policies.
- The work environment is typically fast-paced, requiring attention to detail and adaptability.
- May involve working with cross-functional teams across different locations.
Salary
Not specified.
GrowthOpportunities
Not specified.
Benefits
Not specified.
