SAS Visual Analytics

Skills:

Data Visualization, Statistical Analysis, SAS Programming, Machine Learning, Data Mining, Dashboard Development, Big Data Analytics, Predictive Modeling,.

Company Overview.

Lericon Informatics Pvt.

Ltd.

is a leading technology company highly regarded for building integrated solutions that simplify business operations.

As a dedicated SAS Implementation Partner, we lead in innovation for Banking, Financial Services, and Insurance (BFSI).

We empower financial institutions with transformative tools, leveraging data analytics, AI, and ML to address sector-specific challenges.

At Lericon, we prioritize a client-centric approach and are committed to your success.

Job Overview.
We are looking for a skilled professional for the role of SAS Visual Analytics at Lericon Informatics Pvt.

Ltd.

This is a mid-level, full-time position based in Ahmedabad or Mumbai.

The ideal candidate will have a maximum of 6 years of relevant work experience and will be proficient in data visualization, SAS programming, and dashboard development.

Qualifications And Skills.

Proficiency in data visualization techniques to present complex data in an understandable manner (Mandatory skill).

Strong expertise in SAS programming for data manipulation and analysis (Mandatory skill).

Experience in developing interactive dashboards using SAS Visual Analytics (Mandatory skill).

Ability to conduct statistical analysis for finding trends and patterns in datasets.

Knowledge in machine learning algorithms and their real-world applications.

Familiarity with data mining processes to extract valuable insights from large data sets.

Understanding of big data analytics to handle and analyze large volumes of data.

Skills in predictive modeling to forecast future data points and behaviors.

Roles And Responsibilities
.

Develop and maintain SAS Visual Analytics dashboards to support business operations and decision-making.

Collaborate with cross-functional teams to understand data needs and provide actionable insights.

Ensure data accuracy and integrity through thorough testing and validation.

Implement statistical analysis and predictive modeling to derive meaningful business insights.

Utilize machine learning techniques to automate data analysis processes.

Participate in the continuous improvement of data analytics practices and methodologies.

Assist in troubleshooting and resolving any issues related to data visualization and SAS programming.

Stay updated with the latest trends and advancements in SAS technologies and data analytics..