Data Analyst

Requirements

• Bachelor's or master's degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, Data
• Analytics/Science).
• Proven experience as a Data Analyst or similar role win min experience of 3+ years
• Proficiency in data analysis tools GCP (Google Cloud Platform), Google Big Query, SAS, SQL, Python, R
• and data visualization tools Google Looker.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Ability to handle and analyse large datasets efficiently.
• Experience with statistical analysis techniques and data modelling.

Knowledge
Data Collection and Cleaning:

• Collect, extract, and compile data from various sources, ensuring data accuracy and
• Clean and transform raw data into structured datasets for analysis.
• Identify and resolve data quality issues, inconsistencies, and anomalies.
• Utilizing the technologies of SQL, SAS, Python and Big Query, while staying up-to-date with
• latest trends and developments in data analytics.

Data Analysis and Interpretation:

• Perform exploratory data analysis to identify trends, patterns, and relationships within the
• Apply statistical techniques and data visualization methods to interpret and present findings.
• Analyse large and complex datasets to derive actionable insights and recommendations.
• Collaborate with stakeholders to understand business requirements and translate them into
• analytical approaches.

Reporting and Visualization:

• Create visualizations, dashboards, and reports to effectively communicate data insights to
• stakeholders with help of Google Looker.
• Develop and maintain standardized reporting templates and data visualization tools.
• Present findings in a clear and concise manner, tailoring the information to the audience's

Data-driven Decision Making:

• Collaborate with cross-functional teams to support data-driven decision-making processes.
• Provide analytical support for business initiatives, including market analysis, customer
• segmentation, and performance tracking.
• Identify opportunities for process improvement, operational efficiencies, and revenue
• optimization based on data analysis.

Data Governance and Security:

• Ensure compliance with data governance policies, data protection regulations, and security
• Adhere to data privacy and confidentiality standards when handling sensitive information.
• Contribute to the development and maintenance of data dictionaries and data

Continuous Learning and Development:

• Stay updated with industry trends, best practices, and emerging technologies in data analysis.
• Expand knowledge of statistical analysis techniques, data modelling, and data visualization
• Participate in training programs, workshops, and professional development opportunities

If you possess the skills and experience required for this role, we invite you to apply and become an integral part of an innovative team.