Why SAS financial Data Analyst

SAS Software is most widely used in the Data Analytics field. SAS in Banking, Financial Services and Insurance - Facts and Figures.

• 4000+ financial services and insurance companies use SAS worldwide.

• 90% of the top 100 global banks use SAS, and 90% of insurance companies in the Fortune Global 500 rely on SAS.

• Banks in 92 countries and 47 of the top 50 largest global insurance companies rely on SAS.

• Banking and insurance analytics solutions from SAS with data management, predictive analytics, and embedded AI capabilities are helping to address various strategic business needs.

From Business Intelligence, Data Management, and Data Science to Artificial Intelligence and Machine Learning, SAS is at the forefront of analytics.

• The job postings of SAS have been increasing rapidly for the past few years. SAS is listed as a desired skill.

Who can Learn SAS financial Data Analyst?

Non-engineering/MBA/Masters/Graduate in Finance

Educational Qualification: BCOM, MCOM, BBA, MBA, BTECH, MTECH

Master’s degree in Management / Finance / Mathematics / Statistics / Operation can apply for SAS Financial Data Analytics

Certification Course

Prerequisites for SAS finance Data analyst

This course addresses Base SAS, SAS Data Integration Studio, SAS Visual Analytics, SAS Solution for IFRS 17 software.

SAS Financial Data Analyst Certification Include Courses

• Base SAS Programming

SAS Programming 1: Essentials

Programming II: Data Manipulation Techniques

• Macro

SAS Macro Language 1: Essentials

• SQL (structured Query Language)

• SAS Predictive Modeling Certification

SAS Enterprise Guide: ANOVA, Regression, and Logistic

Regression

Applied Analytics Using SAS Enterprise Miner

• SAS Visual Analytics 1 for SAS Viya: Basics & Advanced

SAS Visual Analytics1

SAS Visual Analytics 2

• SAS Solutions for Risk and IFRS overview

Exam Credentials for SAS financial Data analyst

Certification Details: SAS Certified Specialist: Base Programming

Using SAS 9.4 (Exam id A00-231)

SAS Certified Specialist: SAS

Visual Analytics using SAS Viya (Exam ID A00-470)

SAS Certified Predictive Modeler Using SAS Enterprise Miner 14 (Exam ID A00-255)

Job Profiles for SAS financial Data Analyst

• SAS Financial Data Analyst

• Financial Analyst – Analytics & Reporting

• Health Care Financial Analyst

• Finance Manager

• Team Lead, Operations

• Data Analyst (Statistician)

• SAS Data Engineer

• Lead Fraud/Risk Analyst

• SAS Credit Risk Analyst

• Sr Analyst – Risk Management

• Lead Business Analyst

SAS in Banking Analytics

Banking sector is never ending so in financial banking radical changes are taking place. This includes technologies like digitization, fintech, open banking system, regulatory compliance, and data privacy.

SAS analytics tools help big banks, AI-powered organizations get reliable customers and insights so they can meet risk and compliance mandates.

SAS AI Tools make digital transformation easy. Surely your future is assured with SAS Artificial Intelligence.

SAS Banking analytics can help solve problems in large enterprises. Also become equipped to meet and handle the needs of corporations.

SAS in Banking Analytics

Banking sector is never ending so in financial banking radical changes are taking place. This includes technologies like digitization, fintech, open banking system, regulatory compliance, and data privacy.

SAS analytics tools help big banks, AI-powered organizations get reliable customers and insights so they can meet risk and compliance mandates.

SAS AI Tools make digital transformation easy. Surely your future is assured with SAS Artificial Intelligence.

SAS Banking analytics can help solve problems in large enterprises. Also become equipped to meet and handle the

Benefits of SAS in Banking Sector

• Provides clear and structured information

The data you need when and where to use the data will give you confidence in the accuracy of your data. Also that data is easy to use in the business sector, web based reporting can easily communicate business information to the right people.

• Get a entire, integrated view of all your enterprise data

It covers key banking topics such as customers, products, tools, analytics, financial accounting, and management. Banking sector is never ending so in financial banking Radical changes are taking place.