Highlights
Experience in data analysis, ETL pipeline development, dashboard visualization, MongoDB querying, and Python programming.
Description
Job Summary
pWe are seeking a detail-oriented Data Analyst to support data-driven decision-making by building dashboards, automating workflows, and setting up ETL pipelines. This role requires strong analytical skills and a proactive mindset to enhance business processes.
Responsibilities
- Design and maintain dashboards to visualize key metrics.
Required Skills
- Data Analysis
- MongoDB Querying
- ETL Pipeline Development
- Dashboard Visualization
- Python Programming
Required Skills Explained
- Proven experience in data analysis using advanced techniques.
- Strong proficiency in writing and executing Mongo queries for efficient data retrieval and manipulation.
- Able to design, maintain, and optimize dashboards using tools like Metabase and Redash.
- Experience in automating workflows through the development of ETL pipelines for seamless data processing.
- Strong communication skills with a proven ability to convey complex technical concepts to both technical and non-technical stakeholders.
Who is this for
pThis role is ideal for individuals who have a passion for data analysis and enjoy working in a fast-paced startup environment. Ideal candidates should be detail-oriented, analytical, and able to communicate complex technical concepts effectively.
Why This Job is a Good Opportunity
ulliJoin a venture-backed startup on the brink of revolutionizing digital marketing for small businesses.liWork alongside seasoned IIT alumni who have successfully scaled a business to $30Mn ARR, providing a unique opportunity for growth and learning.liA fast-paced environment where you can contribute directly to the development and success of transformative AI products.liThe chance to work on cutting-edge technology with a focus on real-world applications that drive tangible business results.liAs part of a high-performing team, gain valuable experience in cross-functional collaboration across product, sales, and marketing teams.
Interview Preparation Tips
- Prepare examples from your past work that demonstrate your proficiency in data analysis and ETL pipeline development.
- Be ready to discuss how you have used advanced Mongo queries to extract valuable insights for decision-making processes.
- Showcase your ability to communicate complex technical concepts by practicing clear explanations with non-technical stakeholders.
- Discuss specific instances where you have collaborated effectively across different teams and the outcomes of those collaborations.
Career Growth in This Role
pAs a Data Analyst at Grexa AI, you will have numerous opportunities for career growth. The role offers a dynamic environment with a focus on continuous learning and innovation. With experience in data-driven decision-making and ETL pipeline management, you can progress to more senior roles such as Senior Data Analyst or Data Science Manager.pYou'll also be well-positioned to take on leadership responsibilities within the team, contributing to the strategic direction of the company's AI products. The startup culture at Grexa AI fosters a sense of ownership and innovation, allowing you to make meaningful contributions that can significantly impact the business.
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Skills
Frequently Asked Questions
What is the salary range for this position?The salary range for this position is 3 LPA.
Are there any specific tools I need to be proficient in?Experience with MongoDB, ETL pipeline development, and dashboard visualization tools like Metabase or Redash are required.
What kind of projects will I work on?You’ll work on building dashboards, automating workflows, and developing ETL pipelines to support data-driven decision-making in our Marketing AI Platform.
