Note: The job is a remote job and is open to candidates in USA. AMIT Learning is seeking a Data Analyst (H/F) who is responsible for transforming raw data into actionable insights that support strategic, operational, and business decisions. The role involves collecting, cleaning, analyzing, and interpreting data to identify trends and performance metrics, collaborating with cross-functional teams to ensure accurate and relevant information is delivered for informed decision-making.
Responsibilities
- Collect, organize, and validate data from various internal and external sources to ensure accuracy and reliability
- Perform detailed analyses to identify trends, correlations, and insights that support business objectives
- Develop and maintain dashboards, reports, and data visualizations to communicate key findings effectively
- Collaborate with teams such as marketing, operations, finance, and product to understand analytical needs and provide actionable insights
- Assist in building predictive models, statistical analyses, and performance metrics to guide business decisions
- Monitor key performance indicators (KPIs) and generate regular performance updates for stakeholders
- Document data processes, methodologies, and definitions to support transparency and reproducibility
- Conduct ad-hoc analyses to answer specific business questions or support strategic initiatives
- Identify data quality issues, recommend improvements, and ensure compliance with governance standards
- Stay up-to-date on industry trends, analytical tools, and best practices in data analysis and visualization
Skills
- Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field
- 1–3 years of experience in data analysis, business intelligence, or a similar role
- Proficiency in data analysis tools such as Excel, SQL, Python, or R
- Experience with data visualization platforms such as Tableau, Power BI, or equivalent tools
- Strong analytical thinking and problem-solving skills, with keen attention to detail
- Ability to interpret complex datasets and communicate insights clearly to non-technical stakeholders
- Good organizational skills and ability to manage multiple tasks and priorities
- Collaborative mindset and effective communication skills for working with cross-functional teams
- Proactive, curious, and motivated to continuously improve analytical skills and processes
- Reliability, integrity, and a commitment to producing accurate and high-quality data insights
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