SAS Financial Data Analyst Career Path! SAS For Banking And Financial Analytics?
You can check the SAS Finance Data analyst salary statistics page mentioned by Glassdoor, Ambition box, and Payscale and choose the course you want to study to get a SAS Data analyst salary in India.
Conclusion:
The conclusion is that financial analysis is an important tool in large companies which are used to keep the company's operations running smoothly. This will help the business to adapt to the trends affecting its operations. If you’ve been looking to get into a career in SAS financial data Analytics Learn with Aspire Techsoft SAS Financial Data Analyst Certification training in Pune. In this course, you will learn to manipulate, analyze and interpret complex data sets relating to the employer's business. This includes data mining skills, advanced modeling techniques, and business visualization which conveys information in a universal manner and makes it simple to share ideas with others. Learn to prepare reports for internal and external audiences using business analytics reporting tools. Create data dashboards, graphs, and visualizations.
Related: Before Enroll SAS Certification! Everything you need to know about SAS! why get Certified?
Hello, are you planning to learn SAS Certification after the Financial Professional degrees like BCOM, MCOM, and MBA in finance, ICWA, CA, etc. then you are in the right place. We covered everything about SAS certification for Financial Professionals.
Why Data Analytics is most important?
In today's era, competition between organizations as well as technological methods and changing needs with time have created important needs for financial analysis. This improves the decision-making process in the business.
Data analytics helps companies implement business models and reduce costs by identifying new trends and efficient ways to deliver better products and services.
Data analytics can be in 4 ways that are Descriptive analytics, Diagnostic analytics, Predictive analytics, prescriptive analytics, etc.
Data analytics enables SAS experts to process structured or unstructured data to gain insights.
Data analytics allows the finance team to explore key metrics and spot fraud in revenue streams.
Data analytics Industry Sectors are- Finance and Banking, Telecommunications and Media, Sports, Healthcare and Pharmaceutical Organizations, Agriculture, Sports sectors, Education, Transportation, Manufacturing Industry, Energy and Utilities, Real Estate and property management, Government and public sector, Consumer Trade, etc.
Who benefits from SAS Data Analytics Industry solutions?
Why SAS is Important for Data Analytics
A) SAS Data Management
SAS Data Management helps transform, integrate, govern and secure data while improving its overall quality and reliability.
Whether it’s traditional data in operational systems or big data in a Hadoop cluster, data is an asset that every organization has. And managing that data is no longer a convenience – it’s a necessity. SAS Data Management is the answer to solving your data integration and data quality challenges.
SAS Data Management is designed for IT organizations that need to address performance and functional improvements in their data management infrastructure.
With SAS Data Management, you can handle a wide variety of data challenges – from efficient processing of big data to accessing and integrating legacy sources – all in a single platform, with in-memory and in-database performance improvements helping to deliver trusted information.
B) SAS Visual Analytics
SAS Visual Analytics provides a modernized, unified environment for governed discovery and exploration. Users, including those without advanced analytical skills, can examine and understand patterns, trends, and relationships in data. It’s easy to create and share reports and dashboards that monitor business performance. Easy-to-use analytics and visualizations help everyone get insights from data to better solve complex business problems.
Users of all skill levels can visually explore data, use automated analysis and create visualizations while tapping into powerful in-memory technologies for faster computations and discoveries. This self-service solution scales to an enterprise-wide level, putting data and analytics in the hands of more people. At the same time, governance capabilities help IT promote consistency and reuse.
It’s designed for anyone in an organization who wants to create, share and collaborate on insights from data. That includes decision makers, business analysts, report creators, and citizen data scientists. It also provides IT with an easy way to govern and manage data integrity and security
C) SAS Visual statistics
SAS Visual Statistics helps you get predicted values from the predictive models. It requires SAS Visual Analytics.
Explore data and create or adjust predictive analytics models with this solution running in SAS and Viya.
Data scientists, statisticians, and analysts can collaborate for each department or group to make decisions based on accurate insights and iteratively refine models.
D) SAS Enterprise Miner
Streamline the data mining process and create predictive and descriptive models based on analytics. SAS Enterprise Miner helps you analyze complex data, discover patterns, and build models so you can more easily detect fraud, anticipate resource demands, and minimize customer attrition.
SAS in Banking Analytics
The 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, and 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 the Banking Industry
Benefits of SAS in the 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, and web-based reporting can easily communicate business information to the right people.
- Get an entire, integrated view of all your enterprise data
It covers key banking topics such as customers, products, tools, analytics, financial accounting, and management. The banking sector is never ending so in financial banking Radical changes are taking place.
SAS Banking Analytics Features
SAS for Banking Analytics solutions
- Batter Risk Management
In this, Artificial Intelligence and regtech technology help to balance the long-term strategy and improve financial performance, making the organization risk-aware. SAS tools help you reduce compliance time and costs by ensuring data consistency, transparency, and complete traceability.
Risk management has become an important part of the decision-making process in financial institutions due to the impact of the conflict banking industry on financial markets.
An integrated data infrastructure is needed to support risk management capabilities and consistent policies across companies as well as businesses. To establish these strategies you need financial capital management and proper performance.
SAS Risk Management for the banking sector helps organizations provide the right management approach to risk performance systems.
It also provides Business Intelligence organizations with the insight to distribute risk information to users across the organization. So that based on the profiles, users can view the information report and results.
So that based on the profiles, users can view the information report and results. And reports can be generated and distributed based on their own analysis.
SAS Risk Management Solutions
- Asset & Liability Management
- Credit Risk Management
- Enterprise Stress Testing
- Expected Credit Loss
- Risk Governance
- Insurance Risk Management
2. Protect Against Fraud
As an integrated enterprise system, the SAS Fraud management system provides real-time integration of advanced analytics, alert management, and reporting.
SAS analytical technologies reduce the number of false positives and increase fraud detection rates.
This can improve customer service as well as allow employees to gain more efficiency by leveraging the platform for the things like alert management.
SAS Fraud Management allows for both operational and performance reporting, so you can depend on it as the primary solution for fraud detection and investigation.
SAS Fraud Management Solutions
- On-demand, real-time scoring of all transactions
- Sub-second response time
- Seamless, real-time hot-listing and integration with authorization
- Extensive rule-writing
- Powerful reporting capabilities
- Robust, flexible alert and case management
3. Improve customer's Experienced
SAS Analytics tools improve real-time operations, and customer experience by analyzing data. It also leverages Artificial Intelligence technology to increase customer profitability and streamline operations.
SAS leverages technology like Embedded Artificial Intelligence to better understand customer needs. It also delivers guidance, personalized communications, and recommendations on analytical processes using algorithm and machine learning technology.
This increases customer experience and profit. SAS enables customers to engage with confidence and create relevant, personalized experiences in real-time. SAS provides integrated analytics so that each customer interaction can be characterized by insightful guidance.
Why do banks choose SAS for better customer experience?
4. Reduce False Positive
SAS provides analytics tools to control digital fraud, a challenge facing the banking industry as it continues to grow worldwide.
SAS helps reduce case alert volume, detect banking fraud and correct false positives, provide predictive models, and a better customer experience.
SAS uses Machine Learning's analytical technology to provide a deeper view with holistic view into the function of risk. This affects accounts, devices, and channels so that industry risks can be identified faster.
SAS offers the only fraud detection system that provides real-time scoring of accounts by looking at all transactions – authorizations, refunds, reversals, payments, and non-monetary events. No other system on the market offers this scope.
SAS provides machine learning tools and modeling to correct errors, which enables the user to make better smart decisions in terms of transactions.
The more data, the better the quality of the alerts. This provides a robust approach to establishing rules of parameters with the use of probabilistic scores in fraud. This requires updating both predictive models.
It is best to change parameters for rules with deep insights into banking data. Also, the rules and models need to be constantly changed in the future.
The technology at SAS is evolving and will continue to evolve, but it will be amazing and interesting to see how the technology leverages advanced systems to improve detection and prevention methods against fraud, even for fraudsters.
Challenges in Reduce False Positive
- Insufficient fraud detection systems
- Lack of predictive abilities
- High business costs
- Organizational complexity
- Dispersed and siloed data sources
- Delayed transaction scoring
- Lack of advanced analytical modeling
- Excessive operating costs
Top 10 Innovations in Banking Sector
In the last few decades, the financial sector has undergone a significant change due to digital transformation. Digitization has been the biggest change for many since magnetic stripe cards. Internet and smartphone have brought about a drastic change in the banking sector.
- Phygital Banking
- Artificial Intelligence and AML against crimes
- Better risk analysis
- Neo banks and Fintech
- The Crypto Market
- Analytics and Cloud
- The dataverse metaverse
- Equity and financial inclusion
- Open banking and new data
- Alerts against climate change
Who benefits from using SAS for banking analytics?
SAS in Financial Analytics
SAS software is used to enable financial operations to be more effective. It is done to ensure the accuracy of financial plans, budgets, and reports as well as accurate estimation of risks. This enables the company to quickly integrate, develop accurate budgeting and diversification, and understand revenue costs and profitability better. SAS Software is mainly used in large companies to carry out financial operations effectively. The role of the SAS Finance Data Analyst is important in these financial operations. Considering the important aspects of the financial industry, SAS has developed a Data Analytics system to overcome it. This system allows financial institutions to operate more gracefully and discover new opportunities in uncertain business processes.
SAS software is used to create risk models and provides financial institutions with insight into payment-related issues. SAS software is useful for providing insight into how future financial planning will look and how an organization's industry will evolve. SAS uses predictive analytics to find the right way forward in business with insights that become critical in the decision-making process.
SAS software is used to improve business transparency and accuracy as well as programs to handle errors. This helps to meet the needs and strategy of the company and eases the task of turning over the necessary resource. SAS Tool increases business productivity for finance operations in the company and by gathering financial data, data analytics helps to get the right information and makes the work of the accounting team easier.
SAS In the Finance Industry
Why SAS for financial Management
SAS Financial Management provides a comprehensive solution for budgeting, organization's enterprise planning, as well as data aggregation and reporting.
SAS Financial Management Tools provide an accurate view of financial plans, budgets and reports in the Finance industry.
SAS Financial Management enables you to integrate data, develop better financial budgets, report and analyze, and understand profitability, revenue, and day-to-day expenses more effectively.
- Create a shift to financial and profitability analysis in your enterprise
SAS enables financial management to identify and analyze the impact of changes. This allows customers to easily understand how profitable the products are, as well as identify opportunities to reduce costs and understand the impact on profitability.
- Enlarge the links financial and working plan
The solution provides analytics for financial performance, manufacturing, aviation, telecommunications, costs, and profitability in the retail transportation and financial industries, thereby strengthening the links between financial and operational plans.
- Financial reports can be executed and published faster and more efficiently.
The solution supports multiple accounting standards and provides rules for manual journal adjustments, intercompany balancing, reporting entity balancing, allocations, and fractional ownership to help you maintain flexibility with any new standards.
- Prepared Budget with more confidence
SAS Financial Management provides everything you need to plan more confidently and budget more accurately.
Statistical accounts and embedded calculations provide for driver-based budgeting, even in multiple currencies.
How SAS Financial data Management can Help in Banking
- Data quality and integration
- Data preparation
- Data governance
- Personal data protection
- Data federation and stewardship
SAS Financial Data Management Solutions for Banking
SAS Financial Data Analyst Certification Overview & Career Path
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, and SAS Solution for IFRS 17 software.
SAS Financial Data Analyst Certification Include Courses
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 Analytics1
SAS Visual Analytics 2
- SAS Solutions for Risk and IFRS overview
Most important topics to learn SAS Financial Data Analyst
- Learn SAS Programming 1
- Learn SAS Programming 2
- Learn SAS Macro
- Learn SAS SQL
- Learn Predictive Modeling using SAS
- Learn Reporting using SAS Visual Analytics
- SAS Solutions for Risk and IFRS Overview
Key features for SAS Financial Data Analyst Certification
- Immersive programs developed by leading analytical experts consisting of 11 modules.
- An exhaustive training of up to 240hrs comprising of domain concepts in risk, IFRS9 & IFRS17 with tool training on Data Management, Business Statistics, Data Visualization, Data Mining & more.
- Industry-recognized SAS credentials – international certifications in SAS Data Management, SAS Business Intelligence, Data Mining
- Training in a collaborative setting, combined with hands-on learning and case studies. Inclusive learning methods encourage trainees’ active participation.
- Digital Badge validates your learning and shares your achievements with a digital badge.
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
Roles and responsibilities of SAS finance data analyst
- The SAS Finance Analyst is responsible for data preparation and analysis that will draw meaningful insights from complex datasets and help organizations identify strategies for decision-making.
- SAS Data Analyst works on developing or maintaining SAS programs using Base SAS Macros and SQL.
- Developed database in projects with large, diverse, client data source files.
- Collecting Data Sets from Primary and Secondary Sources.
- Cleaning and Organizing Data.
- Preparing Data for Analysis.
- Creating Reports with Clear Visualizations.
- Designing and Maintaining Databases and Data Systems.
SAS Financial Data Analyst Salary Range
Hello, are you planning to learn SAS Certification after the Financial Professional degrees like BCOM, MCOM, and MBA in finance, ICWA, CA, etc. then you are in the right place. We covered everything about SAS certification for Financial Professionals.
Why Data Analytics is most important?
In today's era, competition between organizations as well as technological methods and changing needs with time have created important needs for financial analysis. This improves the decision-making process in the business.
Data analytics helps companies implement business models and reduce costs by identifying new trends and efficient ways to deliver better products and services.
Data analytics can be in 4 ways that are Descriptive analytics, Diagnostic analytics, Predictive analytics, prescriptive analytics, etc.
Data analytics enables SAS experts to process structured or unstructured data to gain insights.
Data analytics allows the finance team to explore key metrics and spot fraud in revenue streams.
Data analytics Industry Sectors are- Finance and Banking, Telecommunications and Media, Sports, Healthcare and Pharmaceutical Organizations, Agriculture, Sports sectors, Education, Transportation, Manufacturing Industry, Energy and Utilities, Real Estate and property management, Government and public sector, Consumer Trade, etc.
Who benefits from SAS Data Analytics Industry solutions?
Why SAS is Important for Data Analytics
A) SAS Data Management
SAS Data Management helps transform, integrate, govern and secure data while improving its overall quality and reliability.
Whether it’s traditional data in operational systems or big data in a Hadoop cluster, data is an asset that every organization has. And managing that data is no longer a convenience – it’s a necessity. SAS Data Management is the answer to solving your data integration and data quality challenges.
SAS Data Management is designed for IT organizations that need to address performance and functional improvements in their data management infrastructure.
With SAS Data Management, you can handle a wide variety of data challenges – from efficient processing of big data to accessing and integrating legacy sources – all in a single platform, with in-memory and in-database performance improvements helping to deliver trusted information.
B) SAS Visual Analytics
SAS Visual Analytics provides a modernized, unified environment for governed discovery and exploration. Users, including those without advanced analytical skills, can examine and understand patterns, trends, and relationships in data. It’s easy to create and share reports and dashboards that monitor business performance. Easy-to-use analytics and visualizations help everyone get insights from data to better solve complex business problems.
Users of all skill levels can visually explore data, use automated analysis and create visualizations while tapping into powerful in-memory technologies for faster computations and discoveries. This self-service solution scales to an enterprise-wide level, putting data and analytics in the hands of more people. At the same time, governance capabilities help IT promote consistency and reuse.
It’s designed for anyone in an organization who wants to create, share and collaborate on insights from data. That includes decision makers, business analysts, report creators, and citizen data scientists. It also provides IT with an easy way to govern and manage data integrity and security
C) SAS Visual statistics
SAS Visual Statistics helps you get predicted values from the predictive models. It requires SAS Visual Analytics.
Explore data and create or adjust predictive analytics models with this solution running in SAS and Viya.
Data scientists, statisticians, and analysts can collaborate for each department or group to make decisions based on accurate insights and iteratively refine models.
D) SAS Enterprise Miner
Streamline the data mining process and create predictive and descriptive models based on analytics. SAS Enterprise Miner helps you analyze complex data, discover patterns, and build models so you can more easily detect fraud, anticipate resource demands, and minimize customer attrition.
SAS in Banking Analytics
The 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, and 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 the Banking Industry
Benefits of SAS in the 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, and web-based reporting can easily communicate business information to the right people.
- Get an entire, integrated view of all your enterprise data
It covers key banking topics such as customers, products, tools, analytics, financial accounting, and management. The banking sector is never ending so in financial banking Radical changes are taking place.
SAS Banking Analytics Features
SAS for Banking Analytics solutions
- Batter Risk Management
In this, Artificial Intelligence and regtech technology help to balance the long-term strategy and improve financial performance, making the organization risk-aware. SAS tools help you reduce compliance time and costs by ensuring data consistency, transparency, and complete traceability.
Risk management has become an important part of the decision-making process in financial institutions due to the impact of the conflict banking industry on financial markets.
An integrated data infrastructure is needed to support risk management capabilities and consistent policies across companies as well as businesses. To establish these strategies you need financial capital management and proper performance.
SAS Risk Management for the banking sector helps organizations provide the right management approach to risk performance systems.
It also provides Business Intelligence organizations with the insight to distribute risk information to users across the organization. So that based on the profiles, users can view the information report and results.
So that based on the profiles, users can view the information report and results. And reports can be generated and distributed based on their own analysis.
SAS Risk Management Solutions
- Asset & Liability Management
- Credit Risk Management
- Enterprise Stress Testing
- Expected Credit Loss
- Risk Governance
- Insurance Risk Management
2. Protect Against Fraud
As an integrated enterprise system, the SAS Fraud management system provides real-time integration of advanced analytics, alert management, and reporting.
SAS analytical technologies reduce the number of false positives and increase fraud detection rates.
This can improve customer service as well as allow employees to gain more efficiency by leveraging the platform for the things like alert management.
SAS Fraud Management allows for both operational and performance reporting, so you can depend on it as the primary solution for fraud detection and investigation.
SAS Fraud Management Solutions
- On-demand, real-time scoring of all transactions
- Sub-second response time
- Seamless, real-time hot-listing and integration with authorization
- Extensive rule-writing
- Powerful reporting capabilities
- Robust, flexible alert and case management
3. Improve customer's Experienced
SAS Analytics tools improve real-time operations, and customer experience by analyzing data. It also leverages Artificial Intelligence technology to increase customer profitability and streamline operations.
SAS leverages technology like Embedded Artificial Intelligence to better understand customer needs. It also delivers guidance, personalized communications, and recommendations on analytical processes using algorithm and machine learning technology.
This increases customer experience and profit. SAS enables customers to engage with confidence and create relevant, personalized experiences in real-time. SAS provides integrated analytics so that each customer interaction can be characterized by insightful guidance.
Why do banks choose SAS for better customer experience?
4. Reduce False Positive
SAS provides analytics tools to control digital fraud, a challenge facing the banking industry as it continues to grow worldwide.
SAS helps reduce case alert volume, detect banking fraud and correct false positives, provide predictive models, and a better customer experience.
SAS uses Machine Learning's analytical technology to provide a deeper view with holistic view into the function of risk. This affects accounts, devices, and channels so that industry risks can be identified faster.
SAS offers the only fraud detection system that provides real-time scoring of accounts by looking at all transactions – authorizations, refunds, reversals, payments, and non-monetary events. No other system on the market offers this scope.
SAS provides machine learning tools and modeling to correct errors, which enables the user to make better smart decisions in terms of transactions.
The more data, the better the quality of the alerts. This provides a robust approach to establishing rules of parameters with the use of probabilistic scores in fraud. This requires updating both predictive models.
It is best to change parameters for rules with deep insights into banking data. Also, the rules and models need to be constantly changed in the future.
The technology at SAS is evolving and will continue to evolve, but it will be amazing and interesting to see how the technology leverages advanced systems to improve detection and prevention methods against fraud, even for fraudsters.
Challenges in Reduce False Positive
- Insufficient fraud detection systems
- Lack of predictive abilities
- High business costs
- Organizational complexity
- Dispersed and siloed data sources
- Delayed transaction scoring
- Lack of advanced analytical modeling
- Excessive operating costs
Top 10 Innovations in Banking Sector
In the last few decades, the financial sector has undergone a significant change due to digital transformation. Digitization has been the biggest change for many since magnetic stripe cards. Internet and smartphone have brought about a drastic change in the banking sector.
- Phygital Banking
- Artificial Intelligence and AML against crimes
- Better risk analysis
- Neo banks and Fintech
- The Crypto Market
- Analytics and Cloud
- The dataverse metaverse
- Equity and financial inclusion
- Open banking and new data
- Alerts against climate change
Who benefits from using SAS for banking analytics?
SAS in Financial Analytics
SAS software is used to enable financial operations to be more effective. It is done to ensure the accuracy of financial plans, budgets, and reports as well as accurate estimation of risks. This enables the company to quickly integrate, develop accurate budgeting and diversification, and understand revenue costs and profitability better. SAS Software is mainly used in large companies to carry out financial operations effectively. The role of the SAS Finance Data Analyst is important in these financial operations. Considering the important aspects of the financial industry, SAS has developed a Data Analytics system to overcome it. This system allows financial institutions to operate more gracefully and discover new opportunities in uncertain business processes.
SAS software is used to create risk models and provides financial institutions with insight into payment-related issues. SAS software is useful for providing insight into how future financial planning will look and how an organization's industry will evolve. SAS uses predictive analytics to find the right way forward in business with insights that become critical in the decision-making process.
SAS software is used to improve business transparency and accuracy as well as programs to handle errors. This helps to meet the needs and strategy of the company and eases the task of turning over the necessary resource. SAS Tool increases business productivity for finance operations in the company and by gathering financial data, data analytics helps to get the right information and makes the work of the accounting team easier.
SAS In the Finance Industry
Why SAS for financial Management
SAS Financial Management provides a comprehensive solution for budgeting, organization's enterprise planning, as well as data aggregation and reporting.
SAS Financial Management Tools provide an accurate view of financial plans, budgets and reports in the Finance industry.
SAS Financial Management enables you to integrate data, develop better financial budgets, report and analyze, and understand profitability, revenue, and day-to-day expenses more effectively.
- Create a shift to financial and profitability analysis in your enterprise
SAS enables financial management to identify and analyze the impact of changes. This allows customers to easily understand how profitable the products are, as well as identify opportunities to reduce costs and understand the impact on profitability.
- Enlarge the links financial and working plan
The solution provides analytics for financial performance, manufacturing, aviation, telecommunications, costs, and profitability in the retail transportation and financial industries, thereby strengthening the links between financial and operational plans.
- Financial reports can be executed and published faster and more efficiently.
The solution supports multiple accounting standards and provides rules for manual journal adjustments, intercompany balancing, reporting entity balancing, allocations, and fractional ownership to help you maintain flexibility with any new standards.
- Prepared Budget with more confidence
SAS Financial Management provides everything you need to plan more confidently and budget more accurately.
Statistical accounts and embedded calculations provide for driver-based budgeting, even in multiple currencies.
How SAS Financial data Management can Help in Banking
- Data quality and integration
- Data preparation
- Data governance
- Personal data protection
- Data federation and stewardship
SAS Financial Data Management Solutions for Banking
SAS Financial Data Analyst Certification Overview & Career Path
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, and SAS Solution for IFRS 17 software.
SAS Financial Data Analyst Certification Include Courses
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 Analytics1
SAS Visual Analytics 2
- SAS Solutions for Risk and IFRS overview
Most important topics to learn SAS Financial Data Analyst
- Learn SAS Programming 1
- Learn SAS Programming 2
- Learn SAS Macro
- Learn SAS SQL
- Learn Predictive Modeling using SAS
- Learn Reporting using SAS Visual Analytics
- SAS Solutions for Risk and IFRS Overview
Key features for SAS Financial Data Analyst Certification
- Immersive programs developed by leading analytical experts consisting of 11 modules.
- An exhaustive training of up to 240hrs comprising of domain concepts in risk, IFRS9 & IFRS17 with tool training on Data Management, Business Statistics, Data Visualization, Data Mining & more.
- Industry-recognized SAS credentials – international certifications in SAS Data Management, SAS Business Intelligence, Data Mining
- Training in a collaborative setting, combined with hands-on learning and case studies. Inclusive learning methods encourage trainees’ active participation.
- Digital Badge validates your learning and shares your achievements with a digital badge.
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
Roles and responsibilities of SAS finance data analyst
- The SAS Finance Analyst is responsible for data preparation and analysis that will draw meaningful insights from complex datasets and help organizations identify strategies for decision-making.
- SAS Data Analyst works on developing or maintaining SAS programs using Base SAS Macros and SQL.
- Developed database in projects with large, diverse, client data source files.
- Collecting Data Sets from Primary and Secondary Sources.
- Cleaning and Organizing Data.
- Preparing Data for Analysis.
- Creating Reports with Clear Visualizations.
- Designing and Maintaining Databases and Data Systems.
SAS Financial Data Analyst Salary Range
You can check the SAS Finance Data analyst salary statistics page mentioned by Glassdoor, Ambition box, and Payscale and choose the course you want to study to get a SAS Data analyst salary in India.
Conclusion:
The conclusion is that financial analysis is an important tool in large companies which are used to keep the company's operations running smoothly. This will help the business to adapt to the trends affecting its operations. If you’ve been looking to get into a career in SAS financial data Analytics Learn with Aspire Techsoft SAS Financial Data Analyst Certification training in Pune. In this course, you will learn to manipulate, analyze and interpret complex data sets relating to the employer's business. This includes data mining skills, advanced modeling techniques, and business visualization which conveys information in a universal manner and makes it simple to share ideas with others. Learn to prepare reports for internal and external audiences using business analytics reporting tools. Create data dashboards, graphs, and visualizations.
- Written by monali
