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About Us

Railofy aims at solving one of the biggest challenges of Indian domestic travellers – Waitlist problem in Indian Railways.

We are a small team of technologists who have made a significant breakthrough progress in this field using AI, so that no waitlisted railway passenger has to ever miss a trip again.

We are backed by some of the leading VC investors in India (learn more about us on railofy.com)

About the role-

*Must be train smart* (Indian Railways)

As a Data Analyst, you will work with the database and data-science team in managing and updating the ever changing database related to trains, airports and buses etc.

You will also play a key role in monitoring the key KPIs.

Needless to say, you will be exposed to almost all the verticals of a tech startup and play a key role in solving real life problems.

Key Requirements

• Minimum 1 year of experience managing databases, MIS reporting or analytics (non-technical)
• Should be ‘ Train Smart ‘. Knowledge of Indian Railways and trains is required
• Hands-on with MS excel and google sheets
• Access to laptop & internet to work from home
• Willing to relocate to Mumbai
• Graduation (completed) from reputed school / college (any field)
• Good problem-solving skills and ability to think strategically
• Motivation to join an early stage startup and should go beyond compensation
• Should be always open for new learnings and responsibilities

Roles & Responsibilities:

• Prepare and maintain E-commerce reports.
• Performing analysis to assess quality and meaning of data
• Preparing reports for the management stating trends, patterns, and predictions using relevant data
• Streamlining communication channels between Sales, Operations, Accounts and other teams.
• Build relationships with Marketplace Sellers/logistics partners/third party vendor/ payment gateways.
• Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
• Assist Marketplace Seller to List product and execute orders.
• Process improvement and simplification.
• Maintain TAT as per set guidelines, to ensure smooth and timely operations.
• Creation of monthly & quarterly PnL 

Requirement:

• Overall Experience: Minimum 2 years of experience in data analyst.
• Industry Experience: Fashion / Lifestyle / Retail
• Educational Qualification: Graduation / Post Graduation
• Behavioural Skills: Effective communication skills, prompt & proactive approach and eye for detail.
• Technical Skills: MS Office, Ecommerce metrics and customer focused.
• High-energy, results oriented individual to manage to work in a fast paced environment with quickly changing priorities, strategic approach

Job Location: Bangalore/Mumbai

1. Minimum 2.5 years of experience as a Python Developer.
2. Minimum 2.5 years of experience in any framework like Django/Flask/Fast API
3. Minimum 2.5 years of experience in SQL/ Postgress
4. Minimum 2.5 years of experience in Git/Gitlab/Bit-Bucket
5. Minimum 2+ years of experience in deployment (CICD with Jenkins)
6. Minimum 2.5 years of experience in any cloud like AWS/GCP/Azure

This profile will include the following responsibilities:

- Develop Parsers for XML and JSON Data sources/feeds

- Write Automation Scripts for product development

- Build API Integrations for 3^rd Party product integration

- Perform Data Analysis

- Research on Machine learning algorithms

- Understand AWS cloud architecture and work with 3 party vendors for deployments

Roles and Responsibilities

• Managing available resources such as hardware, data, and personnel so that deadlines are met.
• Analyzing the ML and Deep Learning algorithms that could be used to solve a given problem and ranking them by their success probabilities
• Exploring data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
• Defining validation framework and establish a process to ensure acceptable data quality criteria are met
• Supervising the data acquisition and partnership roadmaps to create stronger product for our customers.
• Defining feature engineering process to ensure usage of meaningful features given the business constraints which may vary by market
• Device self-learning strategies through analysis of errors from the models
• Understand business issues and context, devise a framework for solving unstructured problems and articulate clear and actionable solutions underpinned by analytics.
• Manage multiple projects simultaneously while demonstrating business leadership to collaborate & coordinate with different functions to deliver the solutions in a timely, efficient and effective manner.
• Manage project resources optimally to deliver projects on time; drive innovation using residual resources to create strong solution pipeline; provide direction, coaching & training, feedbacks to project team members to enhance performance, support development and encourage value aligned behaviour of the project team members; Provide inputs for periodic performance appraisal of project team members.

Preferred Technical & Professional expertise

• Undergraduate Degree in Computer Science / Engineering / Mathematics / Statistics / economics or other quantitative fields
• At least 2+ years of experience of managing Data Science projects with specializations in Machine Learning
• In-depth knowledge of cloud analytics tools.
• Able to drive Python Code optimization; ability review codes and provide inputs to improve the quality of codes
• Ability to evaluate hardware selection for running ML models for optimal performance
• Up to date with Python libraries and versions for machine learning; Extensive hands-on experience with Regressors; Experience working with data pipelines.
• Deep knowledge of math, probability, statistics and algorithms; Working knowledge of Supervised Learning, Adversarial Learning and Unsupervised learning
• Deep analytical thinking with excellent problem-solving abilities
• Strong verbal and written communication skills with a proven ability to work with all levels of management; effective interpersonal and influencing skills.
• Ability to manage a project team through effectively allocation of tasks, anticipating risks and setting realistic timelines for managing the expectations of key stakeholders
• Strong organizational skills and an ability to balance and handle multiple concurrent tasks and/or issues simultaneously.
• Ensure that the project team understand and abide by compliance framework for policies, data, systems etc. as per group, region and local standards

• Proficiency in shell scripting
• Proficiency in automation of tasks
• Proficiency in Pyspark/Python
• Proficiency in writing and understanding of sqoop
• Understanding of CloudEra manager
• Good understanding of RDBMS
• Good understanding of Excel