Role :
Cyber & Strategic Risk
Location :
WORK FROM HOME/Bengaluru, Karnataka, India Chennai, Tamil Nadu, India Gurugram, Haryana, India Hyderabad, Telangana, India Kolkata, West Bengal, India Mumbai, Maharashtra, India Pune, Maharashtra, India
JOB DESCRIPTION:
- Any skills related to the role
- the selected Should have excellent English communication with a decent accent
- the selected persons must have basic knowledge about Data Analytics
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What you will do
- Any skills related to the role
- the selected Should have excellent English communication with a decent accent
Evaluate the needs of the customer, do research and due diligence, and counsel the client on creating analytics solutions with a cybersecurity focus.
Collaborate with colleagues to develop on-premises and cloud-based analytics solutions, then showcase them to clients and/or upper management.
Create API scripts to automate the extraction of data from contextual and cybersecurity sources.Create persona-based dashboards and reports and write ETL scripts for end users to use.
Follow best practices for data management and analytics to assist clients in keeping an eye on, reducing, and maintaining their cybersecurity posture.
Communicate with engagement teams and clients to plan projects and guarantee client satisfaction.
Run an analytics program and facilitate recurring data updates.
Assist with project management tasks and junior resource coaching and training.
Engage in practice development exercises like invention, eminence, and proposals.
Education Required:
Any Graduation
Any stream
Fresher’s
Experienced also
skills
- Any skills related to the role
- the selected Should have excellent English communication with a decent accent
- the selected persons must have basic knowledge about Data Analytics
BASIC QUALIFICATIONS
- Good Fluency in English
- You are a bachelor’s degree or equivalent years of work experience
- experience utilising on-premises technologies and developing data analytics solutions on cloud platforms such as AWS, Google Cloud, Azure, etc.
strong knowledge of cloud environments and architecture.
strong foundation in programming, with a focus on data analytics and management.
proficiency with Python and other scripting languages.
Knowledge of cloud data migration procedures and the capacity to create alternatives for importing data into different databases from a range of sources.
familiarity with one or more cloud-based data management or analytics tools, including Redshift, Athena, BigQuery, Data Lake, Databricks, and others.
Programming abilities with tools like SAS and SQL, as well as experience managing and integrating huge databases.
conceptual understanding of data lakes, data marts, OLAP, and data warehousing.
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