What are the responsibilities and job description for the Senior Data Security Engineer (Data Analyst along with Power BI) position at Karkidi?
Translate complex business requirements into clear, concise data analysis plan and develop appropriate methodologies to address business needs.
Make sure to apply quickly in order to maximise your chances of being considered for an interview Read the complete job description below.
- Analyze large and complex datasets to identify insights and opportunities that drive business value, use data to propose solutions.
- Effectively communicate insights and recommendations to business stakeholders through visualizations, presentations, and other storytelling methods.
- Partner with product managers, data scientists, data engineers, as well as internal data source teams to ensure that data analysis work is properly scoped, planned, and executed.
- Ensure the quality, governance, and standards of data by developing and implementing data management policies and procedures.
- Understand business value and relevance of data and help build data enabled insights.
- Passion for problem-solving, comes with an analytical mindset with critical-thinking, and data skills.
- Strong technical skills in SQL, Python, R, or other programming languages commonly used in data analysis.
- Awareness of software engineering principles, ability to develop and deploy appropriate analytic code.
- Well-versed experience in visualization tools and best practices like Looker, PowerBI etc.
- Experience working with large datasets, finding insights, and telling stories using data.
- Comprehensive knowledge in working with distributed datastores (e.g., SQL, NoSQL), and Big Data and Cloud technologies like GCP BQ.
- Excellent communication skills and ability to effectively communicate technical concepts to non-technical stakeholders.
Qualifications
Bachelor’s degree in Business, Engineering, Statistics, Economics, Analytics, related field OR 4 years' experience in data analysis, data science, statistics, or related field.
Preferred Qualifications :
Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in data analysis, data science, statistics, or related field OR 6 years' experience in data analysis, data science, statistics, or related field.
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