BI Developer will be responsible the upkeep and development of warehouse data to support our business decision making. The BI Developer builds and maintains a data warehouse design to generate reports on financial and market intelligence to aid in business performance monitoring and business decision making.A successful BI Developer has a strong working knowledge of business trends, and is able to read and analyze product, market, and share trends. You should have strong organizational, critical thinking, and communication skills.

Roles and Responsibilities :
• Analyzing product, market and share trends to build warehouse data.
• Translating business needs into technical specifications.
• Developing reporting systems that provide accessible information for decision making.
• Using warehouse data to generate reports to support business decision making and business performance monitoring.
• Maintaining data analytics platforms.
• Evaluating and improving existing BI systems.
• Conducting troubleshooting on BI models.
• Generating and delivering quality reports to customers and performing quality assurance checks onreports.
• Designing and plan BI solutions.
• Debugging, monitoring and troubleshooting BI solutions.
• Creating and deploying reports.
• Writing relational and multidimensional database queries.
• Configuring, deploying and maintaining database servers.

Technical Skills :
• Must have SQL knowledge.
• Must be able to create store procedures, triggers, views, index, functions.
• Good to have knowledge of BI tools like SSMS, SSRS, SSAS, Power BI, etc.

Specialized Skills :
• Experience in data warehouse design.
• Working knowledge of BI technologies.
• Strong problem-solving and analytical skills.
• Strong attention to detail.
• Ability to work in a team.
• Good communication skills.

Qualification :
• A Bachelor's degree / Master's degree in Computer Science, Engineering, or related field.

To apply, send mail to careers@intellyticssolutions.com

Data Scientist, you will be part of our growing team of data scientists and experts. You will be responsible for expanding and optimizing our data models, prediction algorithms correlation algorithms as well as text analytics models. You will support our software developers, data engineers on building and enhancing models. You must be self-directed and comfortable supporting the data needs of multiple teams , systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our real time anomaly detection, correlation and forecasting models. You will be working on as a Data Scientist. The solutions developed by you would be highly scalable leveraging that needs to be run in Kubernetes Container environment.

Responsibilities :
• Real time anomaly detection solutions that proactively identify service impacting incidents and prevent system downtimes. This is done by leveraging an ensemble of Deep learning and LSTM models.
• Natural Language Processing for entity, topic clusters and relationship extraction.
• Text Analytics in human generated tickets and correlation with event tickets for event noise reduction . Apply Natural Language Classification and RNN algorithms to automatically route tickets
• Log Analysis • Text mining, message clustering / templatization, Logs to metrics, anomaly detection, event annotation and sequencing
• Learn Log Message Sequence for each mainframe batch job and Identify Anomalies during job runs using sequence mining techniques and provide early warning / alerts
• Cloud Migration • Patterns-based discovery optimization: Identify potential business application boundaries using algorithmic approach from Cloudscape data.
• Wave planner: Employ goal-based reasoning from AI planning capabilities for Server affinity, cost, time, black-out windows, etc. To power the above use cases, we have a Big Data system that can handle 2-3 TB of data daily and we manage a data lake that is 15 PB in size.

Required Technical and Professional Expertise:
• Degree in Statistics, Mathematics, Computer Science or another quantitative field with 4 to 6 years of experience in manipulating data sets and building statistical models
• Experience in using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets
• Experience in creating and using advanced machine learning algorithms and statistics such as regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.
• Experience in visualizing or presenting data for stakeholders using Excel, PowerBI, Tableau etc.
• Experience with distributed data or computing tools such as Hive, Spark, MySQL, etc
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, etc.
• Strong knowledge of Java or Python and general software development skills
(source code management, debugging, testing, deployment, etc.)

Preferred Technical and Professional Expertise:
• Bachelor's / Master's degree in Computer Science, Mathematics, Physics, Computational Linguistics, or related field
• Experience with open-source distributed data processing frameworks, such as Spark
• Experience working in a Linux environment
• Experience working on a development team building product
• Experience with presenting complex data science processes/information to non-data scientists
• Experience with Information Retrieval and relevant tools such as Lucene, Elasticsearch, Solr
• Experience with conducting projects from requirements generation, annotation, and modelling, through NLP output deliverables and management of internal/external clients
• Prioritization skills; ability to manage ad-hoc requests in parallel with ongoing projects


To apply, send mail to careers@intellyticssolutions.com