Data Analyst - Math

Educational Qualifications: B.E./B. Tech from tier A university + Computer Science/Electrical Engineering Preferred

Experience: 2-4 Years Total; 0-1 Years in a Startup/Product Company

Job Objective

In the dynamic role of Data Analyst II/III, you will be instrumental in architecting sophisticated data models for the Draup platform. This position is a unique amalgamation of Data Analysis and Business Analysis, placing you at the nexus of technical proficiency and strategic business acumen. You will collaborate closely with Product Managers, playing a pivotal role in deciphering and addressing complex challenges within the Talent Intelligence and Sales Enablement Intelligence domains. Your contributions will be crucial in shaping data-driven strategies that enhance our platform's capabilities.

Job Overview

As a key member of our team, you will engage intimately with clients, harnessing the vast potential of Draup's Big Data assets to develop data models tailored to specific business use cases. This role demands not just technical skill but a zest for embracing and solving a diverse array of problems daily. You will be expected to exhibit leadership qualities and provide mentorship to your peers, fostering a collaborative and knowledge-sharing environment. An ideal candidate should have a strong entrepreneurial and analytical attitude, with the capability to work in a high intensity fast paced startup environment.

Primary Responsibilities:

• Innovative Data Model Creation: As the creative force behind new data models, you will engage in the entire lifecycle of model development. This includes conducting in-depth research to understand complex business problems, experimenting with unique solutions, meticulously cleaning data, and constructing robust data models. You will also rigorously test the outcomes, ensuring they meet high standards of accuracy and reliability.
• Tech Stack Mastery: Show enthusiasm and agility in mastering Draup's cutting-edge technology stack. This opportunity allows you to expand your technical horizons and work at the forefront of industry advancements.
• Business Pipeline Ownership: Take full responsibility for the business pipeline and the outputs of your models. You will continually refine and enhance these models, aiming to maximize their effectiveness and impact on business decisions.
• Analytical Problem Solving: Tackle industry-specific challenges using a blend of analytical prowess and logical reasoning. Your approach to problem-solving will be methodical, yet innovative, driving significant advancements in the field.
• Optimized Script Writing: Write scripts that are not just functional but also optimized for big data environments, ensuring efficiency and scalability.
• Automating Data Processes: Develop and implement automation strategies for data processes, enhancing efficiency and reducing manual intervention in data handling and analysis.
• Mentorship and Team Development: Foster team growth by exhibiting strong mentorship skills. Your ability to guide and inspire colleagues will be instrumental in elevating the team's overall expertise and performance.
• Cross-Team Collaboration: Engage actively with Product Managers and other teams. Your collaboration will be key in integrating the models you develop into the system seamlessly.
• Continuous Output Improvement: Proactively identify and troubleshoot output errors. Your commitment to excellence involves consistently refining and upgrading model outputs to ensure the highest quality.

Required Skills and Personal Attributes

• Communication: Showcase your ability to communicate complex ideas concisely, precisely, and accurately, making technical concepts accessible to a diverse audience.
• SQL Expertise: Proficiency in SQL is crucial, enabling you to manage and manipulate large datasets efficiently.
• Programming Skills: Bring your Python programming skills to the table, creating sophisticated algorithms that drive innovative solutions.
• Big Data: Experience with Spark will be key in managing and analyzing vast data sets effectively.
• Excel Proficiency: Your ability to leverage Microsoft Excel for data analysis and visualization is essential. An intermediate level of proficiency is mandatory, but the more expert, the better!
• Cloud Platform Experience: Familiarity with cloud platforms, especially AWS, is highly desirable, facilitating the handling of large-scale data operations in a cloud environment.
• Automation Skills: Skills in automating data processes, using scripting languages to streamline workflows and increase efficiency.
• Machine Learning Knowledge: Familiarity with machine learning techniques and tools, enabling the creation of predictive models and sophisticated data analysis.
• Statistical and Analytical Expertise: Demonstrate strong statistical knowledge and problem-solving skills, crucial for analyzing data and deriving meaningful insights.
• Data Visualization Tools Knowledge: While not mandatory, knowledge of data visualization tools such as Tableau or Power BI is a significant plus, enabling you to present data in an enga

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