18+ SAS Jobs in India

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.

Job Overview: We are seeking a dedicated Senior Statistical Programmer to join our dynamic team. You will be responsible for the development, quality control, and documentation of statistical (SAS) programming deliverables for clinical research studies.

Key Responsibilities:

1.      Lead and oversee the development of SAS programs for the management and statistical analysis of clinical trial data.

2.      Develop, test, and validate statistical tables, listings, and graphs (TLGs) in support of the statistical analysis plan.

3.      Support the generation and review of protocols, data management plans, study reports, and other regulatory documents.

4.      Provide input to the statistical analysis plan, table shells, data integration plans, and mock-ups.

5.      Ensure data quality by designing and validating key data checks and listings.

6.      Develop specifications for derived datasets and perform data transformation as necessary.

7.      Collaborate effectively with data management and biostatistics teams, clinicians, and other project stakeholders.

8.      Guide junior programmers and provide mentoring as needed.

9.      Keep abreast of new developments in SAS programming and clinical research, and act as a subject matter expert for the team.

Required Qualifications and Skills:

1.      Bachelor's or master’s degree in Statistics, Mathematics, Computer Science, or a related field.

2.      Minimum of 3 plus years of statistical programming experience in the pharmaceutical, biotech, or CRO industry.

3.      Excellent SAS programming skills and proficiency in SAS/Base, SAS/Macro, SAS/Graph, and SAS/STAT.

4.      Familiarity with CDISC SDTM and ADaM data standards.

5.      In-depth understanding of clinical trial data and extremely complex statistical methods.

6.      Excellent problem-solving skills and a proactive approach to identifying and resolving issues.

7.      Strong written and verbal communication skills, with the ability to translate complex data into understandable results.

8.      Proficiency in English, with excellent written and verbal communication skills.

9.      Prior experience leading teams or projects is highly desirable.

Preferred Skills:

1.      Experience in oncology, immunology, respiratory, infectious diseases, or neurosciences is a plus.

2.      Knowledge of other statistical software such as R or Python is a plus.

3.      Knowledge of regulatory guidelines (FDA/EMA/ICH) is preferred.

Dear Candidates,

Greetings from AxionConnect.

This is Shweta from the recruitment team of AxionConnect.

As per your profile on the job portal, currently, we have openings for SAS professionals.

• Experience in SAS development.
•   Should have strong experience on Base SAS.
•   Should have strong experience in SQL.
•   Should have experience in Data Integration Studio (must have).
•   Should have strong experience in Enterprise guide.
•   Should have good communication skills.
•   Exposure to BASE SAS, SAS MACROS, SAS Advance, and SAS Enterprise Guide.
•   Banking or financial reporting experience.

Primary Skills

• SAS DI Studio (SAS Data Integration Studio) (Mandatory)

• SAS Eg (Enterprise Guide)

Experience: 3-5yrs

Location: Mumbai (onsite)

Kindly note that candidates who have graduated in 2022 and 2023 only will be considered for the role who are based in Mumbai, immediate joiners

JD - Data Operations Analyst

What is the job and team like

• As a Data Operations Analyst we manage business reporting of numerous teams, constantly monitor performance
• Checking the integrity of the revenue reporting done by the different systems for the correct profitability to be
• reported to the CXOs
• Send reports periodically and alert stakeholders for changes in the key performance metrics
• Allocate efforts to different Business Implementations that help build Profit/Loss statement for the Financials.
• Track crucial data points which affect the core of the business and escalate it to senior stakeholders

Roles and Responsibilities

• Graduate in IT Background(BE/BSc IT/ BCA) 2022 and 2023 graduates only
• Executing a set of business processes daily/weekly/monthly as per Business requirement.
• Provide ad-hoc data support on any urgent reports and material in an expedited manner
• Maintain a list of open tasks and escalations, and send updates to the relevant stakeholders
• Have an eye for detail, should have the ability to look at numbers, spot trends and identify gaps
• Identify efficient and meaningful ways to communicate data and analysis through ongoing reports and dashboards
• Proficiency in SQL, Excel and any statistical and analytical tools such as SAS, SPSS is a big plus
• Managing master data, including creation, updates, and deletion.
• Ability to work in a fast paced, technical, cross functional environment
• Familiarity with Internet Industry and Online Advertising Business is a plus

Ideal candidate

• Import and export large volume of data to database tables as required
• Should be able to write Data Definition Language or Data Manipulation Language SQL commands
• Develop programs, methodologies to get analyzable data on a regular basis
• Good team player and multi-tasker
• Should have the ability to learn and adapt to change
• Self-starter Must be productive with minimal direction
• High-level written and verbal communication sk

Job Details

Work mode- In office

Must have skills - SQL, MS Excel, Communications

• Collaborate with different teams to implement standards.
• Lead performance improvement projects.
• Work closely and influence global teams for process improvements.
• Execute project milestones promptly & effectively communicate progress to stakeholders.

Technical skills:

• Strong SQL skills (RDBMS / SnowFlake).
• Able to program in multiple languages (SAS, JavaScript).
• Functional knowledge on Supply chain & Logistics.

Soft skills:

• Ability to translate business requirements into data solutions.
• Above average initiative.
• Adaptability to changing priorities.
• Strong customer focus and ability to work effectively with a wide variety of people.
• Has the ability to work independently as well as in a team.
• Eager to learn & improve, continuously hones their skills.
• Strong solution-oriented analytic skills and shows creativity in their problem-solving.
• Has great attention to detail without losing sight of the big picture.
• Has great communication skills – Is able to represent the architect team, address their needs & requirements in meetings with process partners (inside & outside of the greater team).
• Must be willing to work in different shifts to have enough overlap with global team.

In this role, you will: 

As part of a team focused on the preserving the customer experience across the organization, this Analytic Consultant will be responsible for: 

• Understand business objectives and provide credible challenge to analysis requirements. 
• Verify sound analysis practices and data decisions were leveraged throughout planning and data sourcing phases. 
• Conduct in-depth research within complex data environments to identify data integrity issues and propose solutions to improve analysis accuracy. 
• Applying critical evaluation to challenge assumptions, formulate a defendable hypothesis, and ensuring high quality analysis results. 
• Ensure adherence to data management/ data governance regulations and policies. 
• Performing and testing highly complex data analytics for customer remediation. 
• Designing analysis projects flow and documentation that is structured for consistency, easy to understand, and to be offered to multiple levels of reviewers, partners, and regulatory agents demonstrating research and analysis completed. 
• Investigate and ensure data integrity from multiple sources. 
• Ensure data recommended and used is the best “source of truth”. 
• Applies knowledge of business, customers, and products to synthesize data to 'form a story' and align information to contrast/compare to industry perspective. Data involved typically very large, structured or unstructured, and from multiple sources. 
• Must have a strong attention to detail and be able to meet high quality standards consistently. 
• Other duties as assigned by manager. 
• Willing to assist on high priority work outside of regular business hours or weekend as needed. 

Essential Qualifications:  

• Around 5+ years in similar analytics roles 
• Bachelors, M.A./M.Sc. College Degree or Higher in applied mathematics, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis. 
• Preferred programming knowledge SQL/SAS  
• Knowledge of PVSI, Non-Lending, Student Loans, Small Business and Personal Lines and Loans is a plus. 
• Strong experience with data integration, database structures and data warehouses. 
• Persuasive written and verbal communication skills. 

Desired Qualifications: 

• Certifications in Data Science, or BI Reporting tools. 
• Ability to prioritize work, meet deadlines, achieve goals and work under pressure in a dynamic and complex environment – Soft Skills. 
• Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities. 
• Ability to research and report on a variety of issues using problem solving skills. 
• Ability to act with integrity and a high level of professionalism with all levels of team members and management. 
• Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment. 
• Ability to learn the business aspects quickly, multitask and prioritize between projects. 
• Exhibits appropriate sense of urgency in managing responsibilities. 
• Ability to accurately process high volumes of work within established deadlines. 
• Available to flex schedule periodically based on business need. 
• Demonstrate strong negotiation, communication & presentation skills. 
• Demonstrates a high degree of reliability, integrity and trustworthiness. 
• Takes ownership of assignments and helps drive assignments of the team. 
• Dedicated, enthusiastic, driven and performance-oriented; possesses a strong work ethic and good team player. 
• Be proactive and get engaged in organizational initiatives.

Must Have skills :

Experience in Linux Administration

Experience in building, deploying, and monitoring distributed apps using container systems (Docker) and container orchestration (Kubernetes, EKS)

Ability to read and understand code (Java / Python / R / Scala)

Experience AWS and tools

Nice to have skills:

Experience in SAS Viya administration

Experience managing large Big Data clusters

Experience in Big Data tools like Hue, Hive, Spark, Jupyter, SAS and R-Studio

1. Data Engineer

 Required skill set: AWS GLUE, AWS LAMBDA, AWS SNS/SQS, AWS ATHENA, SPARK, SNOWFLAKE, PYTHON

Mandatory Requirements  

• Experience in AWS Glue
• Experience in Apache Parquet 
• Proficient in AWS S3 and data lake 
• Knowledge of Snowflake
• Understanding of file-based ingestion best practices.
• Scripting language - Python & pyspark 

CORE RESPONSIBILITIES 

• Create and manage cloud resources in AWS 
• Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies 
• Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform 
• Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations 
• Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
• Define process improvement opportunities to optimize data collection, insights and displays.
• Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible 
• Identify and interpret trends and patterns from complex data sets 
• Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders. 
• Key participant in regular Scrum ceremonies with the agile teams  
• Proficient at developing queries, writing reports and presenting findings 
• Mentor junior members and bring best industry practices 

 QUALIFICATIONS 

• 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales) 
• Strong background in math, statistics, computer science, data science or related discipline
• Advanced knowledge one of language: Java, Scala, Python, C# 
• Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake  
• Proficient with
• Data mining/programming tools (e.g. SAS, SQL, R, Python)
• Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
• Data visualization (e.g. Tableau, Looker, MicroStrategy)
• Comfortable learning about and deploying new technologies and tools. 
• Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines. 
• Good written and oral communication skills and ability to present results to non-technical audiences 
• Knowledge of business intelligence and analytical tools, technologies and techniques.

Familiarity and experience in the following is a plus:  

• AWS certification
• Spark Streaming 
• Kafka Streaming / Kafka Connect 
• ELK Stack 
• Cassandra / MongoDB 
• CI/CD: Jenkins, GitLab, Jira, Confluence other related tools

Desired Skills & Mindset:

We are looking for candidates who have demonstrated both a strong business sense and deep understanding of the quantitative foundations of modelling.

• Excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions

• Statistical programming software experience in SPSS and comfortable working with large data sets.

• R, Python, SAS & SQL are preferred but not a mandate

• Excellent time management skills

• Good written and verbal communication skills; understanding of both written and spoken English

• Strong interpersonal skills

• Ability to act autonomously, bringing structure and organization to work

• Creative and action-oriented mindset

• Ability to interact in a fluid, demanding and unstructured environment where priorities evolve constantly, and methodologies are regularly challenged

• Ability to work under pressure and deliver on tight deadlines

Qualifications and Experience:

• Graduate degree in: Statistics/Economics/Econometrics/Computer

Science/Engineering/Mathematics/MBA (with a strong quantitative background) or

equivalent

• Strong track record work experience in the field of business intelligence, market

research, and/or Advanced Analytics

• Knowledge of data collection methods (focus groups, surveys, etc.)

• Knowledge of statistical packages (SPSS, SAS, R, Python, or similar), databases,

and MS Office (Excel, PowerPoint, Word)

• Strong analytical and critical thinking skills

• Industry experience in Consumer Experience/Healthcare a plus

JOB DESCRIPTION

• 2 to 6 years of experience in imparting technical training/ mentoring  
• Must have very strong concepts of Data Analytics
• Must have hands-on and training experience on Python, Advanced Python, R programming, SAS and machine learning
• Must have good knowledge of SQL and Advanced SQL
• Should have basic knowledge of Statistics
• Should be good in Operating systems GNU/Linux, Network fundamentals,        
• Must have knowledge on MS office (Excel/ Word/ PowerPoint)                           
• Self-Motivated and passionate about technology                                     
• Excellent analytical and logical skills and team player                               
• Must have exceptional Communication Skills/ Presentation Skills                         
• Good Aptitude skills is preferred                        
• Exceptional communication skills

Responsibilities:                                                                                         

• Ability to quickly learn any new technology and impart the same to other employees
• Ability to resolve all technical queries of students
• Conduct training sessions and drive the placement driven quality in the training
• Must be able to work independently without the supervision of a senior person
• Participate in reviews/ meetings                                                                                                          

Qualification:                                                                               

• UG: Any Graduate in IT/Computer Science, B.Tech/B.E. – IT/ Computers
• PG: MCA/MS/MSC – Computer Science
• Any Graduate/ Post graduate, provided they are certified in similar courses

ABOUT EDUBRIDGE

EduBridge is an Equal Opportunity employer and we believe in building a meritorious culture where everyone is recognized for their skills and contribution.

Launched in 2009 EduBridge Learning is a workforce development and skilling organization with 50+ training academies in 18 States pan India. The organization has been providing skilled manpower to corporates for over 10 years and is a leader in its space. We have trained over a lakh semi urban & economically underprivileged youth on relevant life skills and industry-specific skills and provided placements in over 500 companies. Our latest product E-ON is committed to complementing our training delivery with an Online training platform, enabling the students to learn anywhere and anytime.

To know more about EduBridge please visit: http://www.edubridgeindia.com/">http://www.edubridgeindia.com/

You can also visit us on https://www.facebook.com/Edubridgelearning/">Facebook , https://www.linkedin.com/company/edubridgelearning/">LinkedIn for our latest initiatives and products

Senior Data Scientist-Job Description

The Senior Data Scientist role is a creative problem solver who utilizes statistical/mathematical principles and modelling skills to uncover new insights that will significantly and meaningfully impact business decisions and actions.  She/he applies their data science expertise in identifying, defining, and executing state-of-art techniques for academic opportunities and business objectives in collaboration with other Analytics team members. The Senior Data Scientist will execute analyses & outputs spanning test design and measurement, predictive analytics, multivariate analysis, data/text mining, pattern recognition, artificial intelligence, and machine learning.

Key Responsibilities:

• Perform the full range of data science activities including test design and measurement, predictive/advanced analytics, and data mining, and analytic dashboards.
• Extract, manipulate, analyse & interpret data from various corporate data sources developing advanced analytic solutions, deriving key observations, findings, insights, and formulating actionable recommendations.
• Generate clearly understood and intuitive data science / advanced analytics outputs.
• Provide thought leadership and recommendations on business process improvement, analytic solutions to complex problems.
• Participate in best practice sharing and communication platform for advancement of the data science discipline.
• Coach and collaborate with other data scientists and data analysts.
• Present impact, insights, outcomes & recommendations to key business partners and stakeholders.
• Comply with established Service Level Agreements to ensure timely, high quality deliverables with value-add recommendations, clearly articulated key findings and observations.

Qualification:

• Bachelor's Degree (B.A./B.S.) or Master’s Degree (M.A./M.S.) in Computer Science, Statistics, Mathematics, Machine Learning, Physics, or similar degree
• 5+ years of experience in data science in a digitally advanced industry focusing on strategic initiatives, marketing and/or operations.
• Advanced knowledge of best-in-class analytic software tools and languages: Python, SQL, R, SAS, Tableau, Excel, PowerPoint.
• Expertise in statistical methods, statistical analysis, data visualization, and data mining techniques.
• Experience in Test design, Design of Experiments, A/B Testing, Measurement Science Strong influencing skills to drive a robust testing agenda and data driven decision making for process improvements
• Strong Critical thinking skills to track down complex data and engineering issues, evaluate different algorithmic approaches, and analyse data to solve problems.
• Experience in partnering with IT, marketing operations & business operations to deploy predictive analytic solutions.
• Ability to translate/communicate complex analytical/statistical/mathematical concepts with non-technical audience.
• Strong written and verbal communications skills, as well as presentation skills.

What you need to have: