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- Employment type
- Full-time
- Experience level
- Mid-level · 2+ years
- Minimum education
- Bachelor’s degree
Job summary
Key Responsibilities Gather, clean, validate, and analyze large datasets from multiple sources. Develop and maintain dashboards, reports, and visualizations using BI tools. Identify trends, patterns, and opportunities through statistical analysis. Translate business requirements into data-driven solutions and recommendations. Create and automate recurring reports to improve efficiency. Perform data quality checks and ensure data accuracy and integrity. Collaborate with business teams to understand KPIs and reporting needs. Support forecasting, performance tracking, and business planning initi…
Job details
Key Responsibilities Gather, clean, validate, and analyze large datasets from multiple sources. Develop and maintain dashboards, reports, and visualizations using BI tools. Identify trends, patterns, and opportunities through statistical analysis. Translate business requirements into data-driven solutions and recommendations. Create and automate recurring reports to improve efficiency. Perform data quality checks and ensure data accuracy and integrity. Collaborate with business teams to understand KPIs and reporting needs. Support forecasting, performance tracking, and business planning initiatives. Present findings and insights to stakeholders in a clear and concise manner. Assist in developing data models and improving reporting processes. Required Qualifications Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field. 1–5 years of experience in data analysis or a similar role. Strong proficiency in SQL for querying and manipulating data. Experience with Excel, including advanced formulas, pivot tables, and data analysis. Knowledge of data visualization tools such as Tableau, Power BI, or similar platforms. Understanding of statistical concepts and analytical techniques. Familiarity with Python or R for data analysis is preferred. Strong problem-solving, analytical, and communication skills.
What you’ll do
The Data Analyst will gather, clean, validate, and analyze large datasets from multiple sources, developing dashboards and reports using BI tools. They will identify trends and present findings to stakeholders while collaborating with business teams to understand reporting needs.
Requirements
Candidates must have a bachelor's degree in a relevant field and 1-5 years of experience in data analysis. Strong proficiency in SQL and experience with data visualization tools are required, along with familiarity with Python or R.
Listed skills
- Data visualization · Preferred
- Analytical · Preferred
- analysis · Preferred
- Teams · Preferred
- Data analysis · Preferred
- Planning · Preferred
- Quality Checks · Preferred
- Reporting · Preferred
- Accuracy · Preferred
- Tracking · Preferred
- Python · Preferred
- Forecasting · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Data Analysis
- SQL
- Excel
- Data Visualization
- Tableau
- Power BI
- Statistical Analysis
- Python
- R
- Problem-Solving
- Analytical Skills
- Communication Skills