Data Analytics Engineer
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Job Details
Skills And Tools:
Job Description
Responsibilities:
1. Develop and maintain interactive business intelligence dashboards using industry-leading tools and technologies.
2. Collaborate with cross-functional teams to identify data requirements and design data models that support business objectives.
3. Collect, clean, and analyze large datasets from various sources to identify trends, patterns, and insights.
4. Provide actionable recommendations based on data analysis to optimize business processes, improve performance, and drive informed decision-making.
5. Present findings and visualizations to stakeholders, including senior management, to communicate complex concepts in a clear and concise manner.
6. Stay up-to-date with emerging trends and best practices in data analytics, business intelligence, and financial services to drive continuous improvement.
7. Conduct ad-hoc analysis to support specific business inquiries and provide data-driven insights as requested.
8. Collaborate with IT teams to ensure data integrity, data governance, and data security standards are upheld.
9. Provide training and support to end-users to maximize their understanding and utilization of business intelligence dashboards.
10. Participate in cross-functional projects and initiatives as a subject matter expert in data analytics and business intelligence.
Job Requirements
Requirements:
1. Bachelor's degree in a relevant field such as Data Science, Statistics, Mathematics, Finance, or a related discipline. A Master's degree is a plus.
2. Proven 3 years experience working in data analytics, business intelligence, or a related field, preferably within the financial services industry.
3. Extensive knowledge of data visualization tools such as Tableau, Power BI, or similar platforms.
4. Strong proficiency in SQL for data extraction, manipulation, and analysis.
5. Solid understanding of financial services concepts, including banking, investment, risk management, or insurance.
6. Advanced analytical skills with the ability to analyze complex datasets and derive meaningful insights.
7. Excellent communication skills, both verbal and written, with the ability to convey technical information to non-technical stakeholders.
8. Strong attention to detail and a commitment to data accuracy and quality.
9. Ability to work independently and collaboratively in a fast-paced environment, managing multiple priorities and meeting deadlines.
10. Familiarity with data governance, data security, and privacy regulations within the financial services industry is preferred.
Join our dynamic and innovative team, where you will have the opportunity to utilize your expertise in data analytics and business intelligence to drive strategic decision-making within the financial services domain. Apply now and contribute to our success!
