11+ Quantitative analyst Jobs in Mumbai | Quantitative analyst Job openings in Mumbai

Senior Director – Strategy (Data & Analytics)

The client is a leading media agency who drive more strategic, creative and integrated media approach established to drive better business results. Their team is made up of best in class digital, offline, and integrated media experts who work together to enhance media's contribution to their client's business.

Responsibilities of the role:

We are looking for a talented Director to join our leadership team and manage the delivery of data engineering projects . In this role, you will be responsible to manage a team of highly skilled engineers, scientists and analysts to deliver data-driven solutions to exceed client goals. 

 As the Director, Data and Analytics, you will work with the agency and client to enable the data and tech solutions that lay the foundation for executing brand & performance marketing. 

• Set the vision, strategy, and roadmap to deliver cutting edge data, technology and analytics solutions across a portfolio of clients .
• Become a trusted advisor to clients and consult on growth opportunities and identify new way to use data to solve business challenges and support growth, 
• Support development and deployment of products and services across multiple cloud environments 
• Collaborate with a cross-functional team of client leads, application developers, operations engineers, and architects to translate complex product requirements into technical specs and design requirements 
• Act as a consultant and subject matter expert for internal stakeholders in GroupM Data & Analytics, GroupM Engineering and agency data science and tech leads 
• Build & manage a team of experts in Data Strategy, Measurement/Business Analysts, Advanced Analytics, and Marketing Technology specialists to deliver best in class audience, measurement strategy in collaboration with Client, Strategy, and Investment teams. 

What you will need:

·      7+ years of experience in data analytics / quantitative research

• Proven thought-leadership, and a deep understanding of the data and technology issues facing the marketing industry
• Experience building, managing and inspiring large and diverse teams of data and technology specialists
• A proven track record in working with a diverse array of clients to solve complex problems and delivering demonstrable business success. Including (but not limited to) the development of compelling and sophisticated data strategies and AdTech / martech strategies to enable marketing objectives.

·      Master’s or Bachelor’s in Statistics, Mathematics or related quantitative field

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

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

What you need to have:

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

Ganit Inc. is the fastest growing Data Science & AI company in Chennai.

Founded in 2017, by 3 industry experts who are alumnus of IITs/SPJIMR with each of them having 17+ years of experience in the field of analytics.

We are in the business of maximising Decision Making Power (DMP) for companies by providing solutions at the intersection of hypothesis based analytics, discovery based AI and IoT. Our solutions are a combination of customised services and functional product suite.

We primarily operate as a US-based start-up and have clients across US, Asia-Pacific, Middle-East and have offices in USA - New Jersey & India - Chennai.

Started with 3 people, the company is fast growing with 100+ employees

1. What do we expect from you

- Should posses minimum 2 years of experience of data analytics model development and deployment

- Skills relating to core Statistics & Mathematics.

- Huge interest in handling numbers

- Ability to understand all domains in businesses across various sectors

- Natural passion towards numbers, business, coding, visualisation

2. Necessary skill set:

- Proficient in R/Python, Advanced Excel, SQL

- Should have worked with Retail/FMCG/CPG projects solving analytical problems in Sales/Marketing/Supply Chain functions

- Very good understanding of algorithms, mathematical models, statistical techniques, data mining, like Regression models, Clustering/ Segmentation, time series forecasting, Decision trees/Random forest, etc.

- Ability to choose the right model for the right data and translate that into code in R, Python, VBA (Proven capabilities)

- Should have handled large datasets and with through understanding of SQL

- Ability to handle a team of Data Analysts

3. Good to have skill set:

- Microsoft PowerBI / Tableau / Qlik View / Spotfire

4. Job Responsibilities:

- Translate business requirements into technical requirements

- Data extraction, preparation and transformation

- Identify, develop and implement statistical techniques and algorithms that address business challenges and adds value to the organisation

- Create and implement data models

- Interact with clients for queries and delivery adoption

5. Screening Methodology

- Problem Solving round (Telephonic Conversation)

- Technical discussion round (Telephonic Conversation)

- Final fitment discussion (Video Round