11+ SAS Visual Analytics Jobs in Mumbai | SAS Visual Analytics Job openings in Mumbai

About the company

DCB Bank is a new generation private sector bank with 442 branches across India.It is a scheduled commercial bank regulated by the Reserve Bank of India. DCB Bank’s business segments are Retail banking, Micro SME, SME, mid-Corporate, Agriculture, Government, Public Sector, Indian Banks, Co-operative Banks and Non-Banking Finance Companies.

Job Description

Department: Risk Analytics

CTC: Max 18 Lacs

Grade: Sr Manager/AVP

Experience: Min 4 years of relevant experience

We are looking for a Data Scientist to join our growing team of Data Science experts and manage the processes and people responsible for accurate data collection, processing, modelling, analysis, implementation, and maintenance.

Responsibilities

• Understand, monitor and maintain existing financial scorecards (ML Based) and make changes to the model when required.
• Perform Statistical analysis in R and assist IT team with deployment of ML model and analytical frameworks in Python.
• Should be able to handle multiple tasks and must know how to prioritize the work.
• Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Develop clear, concise and actionable solutions and recommendations for client’s business needs and actively explore client’s business and formulate solutions/ideas which can help client in terms of efficient cost cutting or in achieving growth/revenue/profitability targets faster.
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
• Design and build technical processes to address business issues.
• Oversee the design and delivery of reports and insights that analyse business functions and key operations and performance metrics.
• Manage and optimize processes for data intake, validation, mining, and engineering as well as modelling, visualization, and communication deliverables.
• Communicate results and business impacts of insight initiatives to the Management of the company.

Requirements

• Industry knowledge
• 4 years or more of experience in financial services industry particularly retail credit industry is a must.
• Candidate should have either worked in banking sector (banks/ HFC/ NBFC) or consulting organizations serving these clients.
• Experience in credit risk model building such as application scorecards, behaviour scorecards, and/ or collection scorecards.
• Experience in portfolio monitoring, model monitoring, model calibration
• Knowledge of ECL/ Basel preferred.
• Educational qualification: Advanced degree in finance, mathematics, econometrics, or engineering.
• Technical knowledge: Strong data handling skills in databases such as SQL and Hadoop. Knowledge with data visualization tools, such as SAS VI/Tableau/PowerBI is preferred.
• Expertise in either R or Python; SAS knowledge will be plus.

Soft skills:

• Ability to quickly adapt to the analytical tools and development approaches used within DCB Bank
• Ability to multi-task good communication and team working skills.
• Ability to manage day-to-day written and verbal communication with relevant stakeholders.
• Ability to think strategically and make changes to data when required.

Inside Sales Executive - Lead Generation

Summary:

Passionate and energetic inside sales personnel who can connect and engage with leads via outbound calls, set up appointments and communicate the company's brand identity.

2 years of inside calling experience around IT hardware and software sales

Identify prospects grow and manage sales pipeline to achieve targets

Coordinate software demos and service presentations with prospects and the internal business development team.

Experience in market research, data mining and cold calling.

Generate new potential clients through cold calling, and social media platforms.

Communicating with the Organization heads and scheduling the appointments for product demos.

Self-motivated, and able to work independently and as a member of a remote team.

Proven ability to build and manage a sales pipeline and achieve targets

Market Research to identify new markets and prospects.

Excellent communication skills (presentation, verbal, and written)

Demonstrated expertise in building and maintaining client relationships

Good convincing ability and confident personality.

Data-driven approach towards the sales process.

Full understanding of the sales process from database generation to fixing the appointments.

Min 1 year of relevant experience in software/hardware sales

Strong communication and presentation skills.

Knowledge of lead generation and email hunting.

Excellent knowledge of search engines, web analytics and business research tools.

Adequate knowledge of data collection methods.

Strong analytical and critical thinking.

Good working knowledge of MS Word and Excel

Responsibilities

Source new sales opportunities through inbound lead follow-up and outbound cold calls and emails

Prospect call preparation including company background research and other pertinent lead information

Identify customer's buying trends and provide reports to management

Location: Mumbai & Nashik

Job Types: Full-time, Permanent, Temporary

Technical Skills:

• Ability to understand and translate business requirements into design.
• Proficient in AWS infrastructure components such as S3, IAM, VPC, EC2, and Redshift.
• Experience in creating ETL jobs using Python/PySpark.
• Proficiency in creating AWS Lambda functions for event-based jobs.
• Knowledge of automating ETL processes using AWS Step Functions.
• Competence in building data warehouses and loading data into them.

Responsibilities:

• Understand business requirements and translate them into design.
• Assess AWS infrastructure needs for development work.
• Develop ETL jobs using Python/PySpark to meet requirements.
• Implement AWS Lambda for event-based tasks.
• Automate ETL processes using AWS Step Functions.
• Build data warehouses and manage data loading.
• Engage with customers and stakeholders to articulate the benefits of proposed solutions and frameworks.

About:-

ShareNest is India’s first technology-enabled, asset-light marketplace that makes second home ownership accessible, affordable and enjoyable for everyone. ShareNest's vision is to enrich lives by democratizing second home ownership, making it enjoyable and making it accessible for all. Our innovative co-ownership model is a unique combination of owning an aspirational, fully managed second home along with the benefit of financial upside from real estate investment.

Founded by the Business Head of India's first PropTech Unicorn, ShareNest has secured $1.5 million in a seed round from marquee investors, industry leaders and unicorn founders which will help build a base for the business to scale it to new heights.

Roles & Responsibilities:-

-Present, promote and sell service using solid opinions to prospective clients.

-Perform cost-benefit and needs analysis of existing/potential clients to meet their

needs.

-Establish, develop and maintain positive business and customer relationships.

-Reach out to customer leads through cold calling.

-Expedite the resolution of customer problems and complaints to maximize

satisfaction.

-Achieve agreed-upon sales targets and outcomes within schedule.

-Coordinate sales effort with team members and other departments.

-Keep abreast of best practices and promotional trends.

-Continuously improve through feedback Roles and Responsibilities

Desired Candidate Profile :

-Must be a Graduate

-Good communication skills

-Good Convincing Power

-Good Presentation skills

-Real Estate Sector is Preferred

Location - Mumbai

PHP, Cordignito, Laravel, SQL, Oops concept, strong logical thinking.

The IT sales role is responsible to contact and follow up with leads and potential clients in international markets to convert into clients:

1. Sales to be done by phone and email.

2. Cold calling and closing the deal.

3. The sales executive should generate client interest

4. The sales executive should be able to ensure that this interest is converted into purchases by the client

Key Responsibilities

• Lead and inspire high-performing engineering teams to build and scale highly reliable, secure and responsive architecture for all LoveLocal products

• Build highly Scalable platforms using Python, ReactJS, NodeJS, Kafka, Distributed Caching, SQL and No SQL Databases

• Take full ownership of the people related aspects of the Engineering team engagement, recruiting, retention, compensation, promotions, individual performance management and organizational structure

• Should be actively involved in hunting and recruiting new talent

• Manage the engineering pipeline at all levels from planning the product implementation with the developers, distributing and managing work of the engineering team and ensure code quality across products and services

• Should continuously plan and build for increasing scale of the product and ensure full hygiene of the tech infrastructure and code sanity

• Should be the primary point of contact of functional heads for all tech dependencies

• Take ownership of overall tech budget, reviewing expenses and planning for future costs

• Work closely with CTO and Product Head on the Tech roadmap of the organisation

• Become an integral part of the core team and be strongly aligned with the mission and values of the company

Main Qualifications

• 8+ years of experience in Software Development with end-end implementation of products (Preferably in a product driven organisation)

• Minimum 3 years of experience leading a team of at least 15 developers, either as an EM or a Tech Lead

• Should have worked in a well scaled and fast paced working environment (Startups beyond Series B or a major tech organisation)

• Comfortable handling multiple competing priorities in a fast-paced environment.

• Well versed with cloud computing and infrastructure management AWS / GCP

• Has worked extensively on designing and implementing Microservices architecture

• Should have experience working with NoSQL data stores such as MongoDb, Cassandra, HBase, DynamoDB, etc.

• Should have experience working with Big Data streaming services such as Kinesis, Kafka, RabbitMQ etc

• Should be highly skilled in Python and have solid exposure to JavaScript

• Should have solid exposure to Web development and have had familiarity working with Android and IOS engineers

• Excellent understanding of software engineering practices and Design Patterns

• A Bachelors or Masters in Computer Science or equivalent engineering degree from top engineering institutes.