Data Analyst & Instructor

EpsilonAI

1. Data Analyst Responsibilities (Epsilon AI Analytics)

• Analyze business datasets and extract meaningful insights
• Analyze complex datasets to extract actionable insights and support data-driven decision-making.
• Build interactive dashboards using Power BI, Tableau, and Looker Studio
• Conduct data cleaning, transformation, and data modeling
• Use Excel advanced functions (VLOOKUP/XLOOKUP, PivotTables, Power Query)
• Use MySQL to query, join, filter, and manage relational data
• Apply cloud data tools for analytics (Azure, AWS QuickSight, Google BigQuery preferred)
• Collaborate with analytics and engineering teams to support decision-making
• Prepare visualization reports for internal and corporate clients
• Collaborate with cross-functional teams to identify data needs and implement analytical solutions.
• Utilize data visualization tools to present findings and communicate results effectively to stakeholders.

2. Instructor Responsibilities (Epsilon AI Academy)

• Support delivery of Data Analysis courses (Excel, BI Tools, SQL, dashboards)
• Teach practical labs and lead analytical workshops
• Develop, prepare, and deliver engaging instructional materials on data analytics and AI concepts to diverse learners.
• Provide mentorship and guidance for student projects
• Review assignments and provide constructive professional feedback
• Prepare structured teaching materials, demos, and exercises
• Assist with corporate training sessions and professional events
• Assess learners progress, provide constructive feedback, and support their academic and professional growth.

Technical Skills Must Have

• Strong proficiency in Excel (advanced functions, data cleaning, modeling)
• Ability to build dashboards using Power BI & Tableau
• Strong understanding of data visualization techniques and tools (e.g., Tableau, Power BI).
• Experience with Looker Studio or equivalent BI visualization tools
• Good SQL knowledge using MySQL
• Understanding of ETL concepts and data preparation
• Knowledge of cloud analytics tools (Azure/AWS/GCP) is a strong plus
• Basic understanding of KPIs, business metrics, and reporting frameworks

Soft Skills & Competencies

• Clear and professional communication
• Ability to present technical content effectively
• Strong analytical thinking and problem-solving skills
• Passion for teaching, mentoring, and supporting learners
• Ability to work in a structured, fast-paced environment
• Excellent communication and presentation skills, with the ability to explain complex concepts clearly.
• Strong problem-solving skills and attention to detail.
• Demonstrated passion for education and technology.

Preferred Qualifications

• Familiarity with Excel automation using Power Query / Power Pivot