Crux is hring for a fresher entry level data analyst

Short Description:

The Data Analyst position at Crux involves assisting sales teams in conducting demos for potential clients, ensuring smooth onboarding and deployment of Crux's application, and gathering feedback for product improvement. Candidates should possess strong SQL proficiency, hands-on experience with databases like Postgres, and scripting skills in Python. The role also entails setting up product analytics tools and analyzing user behavior to shape the product roadmap. Crux seeks individuals who thrive in dynamic environments, demonstrate ownership, and have a passion for working with new technologies. The interview process evaluates technical skills, problem-solving abilities, and cultural fit, offering an exciting opportunity to contribute to groundbreaking developments in AI and data analytics.

Position: Data Analyst
Company: Crux
Location: Bengaluru, KA, India
Job type: Full time
Job mode: Onsite

Overview

In this detailed job description, we will delve into the role of a Data Analyst at Crux, focusing on responsibilities, qualifications, technical skills required, and the interview process. Crux, an AI Copilot startup based in Bengaluru, KA, IN, offers an exciting opportunity for individuals passionate about working with cutting-edge technologies.

About Crux

Crux revolutionizes decision-making processes by providing super-fast analytics solutions. Founded by a team of dynamic graduates from esteemed institutions like IIT Bombay, Crux caters to diverse industries, including finance, consulting, and consumer goods. Supported by investors such as Emergent and Y Combinator, Crux is at the forefront of innovation in the analytics domain.

Role Overview

The Data Analyst role at Crux encompasses diverse responsibilities, including customer solutioning, QA, product management, and product analytics. The successful candidate will work closely with sales, product, and tech teams to ensure seamless onboarding of clients, product improvement, and effective monitoring of product usage.

Responsibilities

Customer Solutioning & Onboarding

Conducting Demos: Assist the sales team in conducting demos for prospective clients, understanding their data schema intricacies, and connecting their data to Crux.
Deployment Support: Aid customers’ tech teams in executing on-premise deployment of Crux’s application, ensuring synchronization between LLM agents and customer data.

QA and Product Management

Feedback Synthesis: Collaborate with the product and tech teams to gather and synthesize feedback for product enhancement.
Quality Assurance: Conduct rigorous QA to ensure Crux’s output aligns with customer expectations, experimenting with prompt engineering to improve output quality.

Product Analytics

Usage Monitoring: Set up product analytics tools within Crux’s architecture to monitor product usage effectively.
User Behavior Analysis: Continuously analyze product usage data to formulate hypotheses about user behavior and inform product development.

Qualifications

Desired Characteristics

Agility: Comfortable working in a highly agile and dynamic environment.
Ownership: Strong sense of ownership towards tasks and projects.
Tech Enthusiasm: Excitement about working with new technologies, particularly LLMs and Generative AI.
Entrepreneurial Spirit: Bonus points for aspirations of building one's venture someday.

Technical Skills

SQL Proficiency: Strong grasp of constructing and reviewing SQL queries on complex data schemas.
Database Experience: Hands-on experience with SQL databases like Postgres.
Scripting Ability: Experience in creating Python scripts to automate data-related tasks.
Data Warehousing: Familiarity with data warehouses like Snowflake, Redshift, etc., is advantageous.

Interview Process

Crux values individuals who thrive in fast-paced environments, are problem solvers, and demonstrate autonomy and ownership. The interview process comprises multiple rounds designed to assess technical skills, problem-solving abilities, and cultural fit.

Round 1: Initial Screening

Informal Discussion: A casual conversation to understand the candidate's interest in startups, motivation, and past experiences.
Past Projects: Discussion about the candidate's past projects and their relevance to the role.

Round 2/3: Technical Rounds

Problem Solving: A deep dive into technical skills through on-spot or advance problem statements.

Round 3/4: Culture Fit

Communication and Ownership: Evaluation of communication skills, approach to problem-solving, and demonstration of ownership and autonomy.

Each interview lasts for 1 hour, with 45 minutes allocated for technical discussions and 15 minutes for general Q&A.

The Data Analyst role at Crux offers a unique opportunity to work with a talented team of professionals dedicated to transforming analytics solutions. With a focus on innovation, collaboration, and continuous learning, Crux provides an environment where individuals can thrive and contribute to groundbreaking developments in the field of AI and data analytics. If you're passionate about leveraging technology to drive business impact and possess the required skills and characteristics, apply now to join the Crux team and be part of a journey towards redefining decision-making processes in the digital age.

Please click here to apply.

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