Data Analytics For leading National Security Firm

Roles and Responsibilities

Title - Data Analytics

We are seeking an experienced Data Analyst to join our team. The ideal candidate will be

responsible for analysing large datasets to identify trends, patterns, and insights that will

inform business decisions. The candidate should have at least years of experience in a

similar role, along with strong analytical, technical, and communication skills.

Responsibilities

Collect and analyse large datasets to identify trends, patterns, and insights

Develop reports and dashboards to communicate findings to stakeholders

Collaborate with cross-functional teams to identify opportunities to improve business

performance

Utilize statistical techniques and machine learning algorithms to improve forecasting

accuracy and business insights

Identify data quality issues and work to resolve them in a timely manner

Develop and maintain data models and databases to support reporting and analysis

Stay up-to-date with industry trends and emerging technologies to inform data

strategy and analysis

This is a individual contributor role

Qualifications : Must-have :

Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or

related field

At least years of experience in a data analytics role

Strong analytical and problem-solving skills

Proficient in SQL and data visualization tools Tableau, Power BI)

Experience with statistical analysis and machine learning techniques

Ability to communicate complex data insights to non-technical stakeholders

Desirable :

Master's degree in Computer Science, Data Science, Mathematics, Statistics, or

related field

Experience with programming languages such as Python or R

Experience with cloud-based data platforms AWS, Azure, Google Cloud

Platform)

Knowledge of data governance and data management best practices

Technical Skills :

Strong SQL skills for data extraction and manipulation

Proficient in data visualization tools such as Tableau, Power BI or similar

Experience in statistical analysis and machine learning techniques

Knowledge of programming languages such as Python or R

Familiarity with cloud-based data platforms such as AWS, Azure, Google Cloud

Platform

Ability to work with large datasets and perform data cleaning and manipulation

Knowledge of data governance and data management best practices