Deloitte Careers 2024 : Shape the Future of Cyber-security with Deloitte’s Cyber Analytics Team in Major Indian Cities | Apply Now!!!
Deloitte Careers 2024:
Company : Deloitte
Qualification : Graduation
Position: Cyber Analytics
Location: Pune, Mumbai, Delhi, Hyderabad, Bangalore, Chennai, Kolkata, Gurugram
Salary : As per Company Standards
Skills: AWS, Google Cloud, Azure Data management and data analytics Scripting languages like Python
Deloitte Careers 2024 | Roles and Responsibilities:
- Client Requirement Analysis and Research: A candidate will have to start by thoroughly analyzing the client’s requirement, understanding client’s cyber-security challenges, and conducting relevant research. Based on suh research, candidate have to provide strategic advice to clients on designing analytics solutions that address specific cybersecurity risks and needs. This step ensures the analytics solutions are tailored to meet the unique requirement of the client’s cybersecurity posture.
- Collaboration with Team Members: Once the requirements are understood, a candidate will have to work closely with the team members to design and build analytics solutions, either on the cloud or on premises. Such solutions are carefully designed to help customer monitor and mitigate cybersecurity risks. A candidate will also play a key role in presenting the completed solutions to senior management or directly to clients, ensuring that the solutions align with their business objectives and cybersecurity requirements.
- Automation of Data Extraction: A important task of the role involves creating API scripts that automate the extracting data from variety of cyber security and contextual data sources. This scripts ensure that data is collected efficiently and accurately, allows for timely analysis and reporting. Automation streamlines the process, reducing manual effort and ensuring more consistent data delivery.
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Development of ETL Scripts and Dashboards: A candidate is responsible for creating ETL (Extract, Transform, Load) scripts that help process and organize the data for analysis. These scripts play a critical task in transforming raw data into a usable format. Additionally, A candidate develop person-based dashboards and reports for end-user usage. This dashboards provide clients with clear, actionable insights into client’s cyber security environment, enabling them to make informed decisions.
- Data Management Best Practices: A candidate ensures that data management practices follow industry standards and best practices. A candidate help clients to implement processes to maintain high data quality, enabling effective monitoring of cyber security risks. By adapting to these best practices, A candidate contribute to sustaining a client’s strong cyber security posture over time, ensuring data is consistently accurate, secure, and relevant.
- Client and Team Interaction: Frequent communication with customers is essential to ensure that the analytics solutions meet their expectations. A candidate works with both the client and internal teams to coordinate project work, track progress, and ensure the delivery of high-quality solutions. Client satisfaction is on priority, and A candidate ensures that client needs are addressed promptly and effectively.
- Support for Analytics Solution Maintenance: Once the initial deployment is done, A candidate continues to support the analytics solution by ensuring periodic data refreshes and system updates are carried out. Such ongoing maintenance is essential to keep the solution functional and relevant, as the cybersecurity landscape can change rapidly.
- Project Management Support and Mentorship: A candidate also plays a role in supporting project management activities, including managing timelines, resources, and deliverables. In addition to candidates technical work, they assist in training and mentoring junior team members, helping to develop the skills of others within the team.
- Practice Development: Lastly, A candidate contributes to practice development activities, including preparing proposals, increasing the firm’s reputation, and fostering innovation. By contributing to these efforts, A candidate help the organization stay competitive and relevant in the ever-evolving field of cybersecurity analytics.
In summary, this position groups technical expertise in cyber security analytics with client-facing responsibilities, ensuring that clients receive customised, effective solutions to address their cybersecurity challenges. The individual is key to ensuring the success of both the project and the team.
Deloitte Careers 2024 | Desired Skills:
A candidate must have experience in building data analytics solutions on cloud platforms such as AWS, Google Cloud, and Azure, as well as on-premises technologies. A candidate must have a strong understanding of cloud architecture and environments, enabling them to design scalable and efficient systems.
A candidate must have a solid programming background is essential, with expertise in data management and analytics. Expertise in scripting languages like Python is required, along with familiarity with cloud data migration processes. A candidate should be able to design effective methods for data ingestion from various sources into different databases.
A candidate should have hands-on experience working with cloud-based data management and analytics tools such as Redshift, Athena, BigQuery, Data Lake, and Databricks. Additionally, a candidate are adept at handling and integrating large datasets, with strong programming skills in tools like SQL and SAS.
Conceptual knowledge of data warehousing, OLAP (Online Analytical Processing), data marts, and data lakes is necessary, along with an understanding of data management principles. This includes a focus on data quality, data lineage, and data governance to ensure reliable and traceable data workflows.
A candidate must have experience in developing dashboards and generating reports using BI tools like Tableau, Power BI, and Quicksight. Such skills allow them to present data insights in user-friendly and actionable formats.
A candidate must be familiar with data transformation processes using ETL (Extract, Transform, Load) tools such as AWS Glue, Azure Data Factory, Informatica, Talend, SSIS, or Ab Initio. This experience ensures efficiency in processing and preparing data for analysis.
Certifications in analytics or cloud platforms, such as Developer, Architect, or Specialist certifications for AWS, Azure, or Google Cloud, will be considered a plus.
Lastly, previous experience working with cyber security datasets is beneficial. This knowledge of candidate enables the application of data analytics in the context of security, helping identify risks and threats through data-driven insights.