Career

Experience: Total : 3-6 years

This position would be responsible for the below key functions: 

- Interpret and analyze data to identify patterns and correlations among various data points.

- Mapping and tracing data from system to system in order to establish data hierarchy and lineage

- Filter and - clean- data by reviewing computer reports, printouts, and performance indicators to locate and correct data problems

- Translate the numbers into words, identify linkages/patterns hidden in the data

- Decode the processing logic of the data and convert it into English or pseudo code.

- Documenting the types and structure of the business data (logical modeling)

Technology Skills

Candidates must possess the below set of technical skills:

- Proven working experience as a data analyst or business data analyst

- Technical expertise regarding data models, database design development, data mining and segmentation techniques

- Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL/ SQL Parser etc.), ETL frameworks, Macros

- Proficiency in EXCEL, Advanced EXCEL and Macros

- Knowledge of statistics and experience using statistical packages for analyzing datasets (R)

- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

- Adept at writing and decoding queries, reports metadata

Soft Skills

Candidates should preferably have the below skills:

- Strong communication & collaboration skills

- Passionate Team Player with - Can-do- attitude

- Ability to be gracefully persuasive in discussions to get things done

- Ability to drive quality

- Ability to see the big picture, think innovative and suggest out-of-box solutions

Educational Qualification

Candidates should have:

Graduate Degree in Mathematics, Economics, Computer Science, Information Management or Statistics

Job Description:

The role requires deep knowledge in designing, planning, testing and deploying analytics solutions including the following:

  • Proven experience implementing and deploying advanced analytics solutions using R.
  • Exposure to open source and/or competitive platforms like OWL/Protégé
  • Knowledge of full application life cycle design tools and methodologies
  • Apply machine learning algorithms, statistical data analysis, computational linguistics, and similar tools to find useful patterns in data collections.
  • Measure, interpret and derive learnings from results of analysis that will lead to improvements in underlying customer business processes, products or services.

 

Technology Skills:

  • Excellent understanding of Analytics concepts and methodologies including machine learning (unsupervised and supervised)
  • Proficient in Unsupervised Learning like various Clustering techniques e.g. K-Means/PAM/Clara/Hierarchical/Agglomerative
  • Proficient in usage of R, Statistical Modelling and Market Basket Analysis
  • Hand on in handling very large amounts of structured and unstructured data.
  • Understanding of Hadoop ecosystem. Experience with machine learning algorithms and data mining techniques
  • Proficient in use of MS Excel
  • Knowledge of RDBMS & Business Intelligence solutions preferred

 

Soft Skills:

  • Strong communication & collaboration skills.
  • Passionate Team Player with a Can-do attitude.
  • Ability to be gracefully persuasive in discussions to get things done.
  • Ability to drive quality.
  • Ability to see the big picture, think innovative and suggest out of box solutions.

 

Job Description

This position would be responsible for the below key functions: 

- Design and development using - Automation Anywhere- or - Blue Prism- 

- Deployment - Bots- to production 

- Demonstration of solution to key stakeholders 


Technology Skills

Candidates must possess the below set of technical skills: 

- 2+ years- experience developing automation solutions using robotics tools like Automation Anywhere or Blue Prism. 

Soft Skills

Candidates should preferably have the below skills: 

- Good communication skills with the ability to present technical concepts to a non-technical audience 

- Passionate Team Player with - Can-do- attitude 

- Ability to be gracefully persuasive in discussions to get things done 

- Ability to drive quality 

- Ability to see the big picture, think innovative and suggest out-of-box solutions 

Educational Qualification 

Candidates should have: 

Bachelor's degree (in Science, Computers, Information Technology or Engineering) 

Company Profile: 

Kafal Software is a leader in Technology Automation space covering the entire gamut of automation needs for our customers around Machine Learning, Artificial Intelligence, Cognitive Computing, Robotic Process Automation and Data Science to help our customers in their Digital Transformation journey. 

Our partners are leading OEMs and a multitude of customers for our distinguished services.

To Apply, send your Resume or CV to hello@18.217.151.216 and mention the position in Subject line.