Data Analyst & Instructor

Full Description

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 Education Bachelor's degree in Computer Science, Computer Engineering, Statistics, Information Systems, Business Analytics, or a related technical field (required) Up to 3 years of experience in data analysis, teaching, or a related role. Preferred Qualifications Prior teaching, mentoring, or training experience CDAP (Certified Data Analyst Professional) certificate holder is a strong plus Epsilon AI alumni or similar bootcamp graduates Certifications in BI, SQL, Power BI, or Analytics are a plus Experience supporting corporate training or client reporting Familiarity with AI concepts, machine learning, and industry best practices.