Data Analytics Specialist Job

Key Responsibilities:

Analyze and interpret financial data to identify trends and insights.
Develop and maintain advanced Excel Macros and VBA scripts to automate data processing and reporting tasks.
Design and build interactive dashboards and data visualizations in Power BI, TableEU, Power Query or similar tools to support decision-making.
Collaborate with cross-functional teams to optimize data structures and enhance data accuracy and accessibility.
Perform statistical analysis and predictive modeling to support business forecasting and strategic planning.
Ensure data integrity, security, and compliance with regulatory standards.
Provide actionable insights and recommendations based on data analysis to improve financial performance.
Document processes, methodologies, and findings for stakeholder understanding and future reference.
Continuously evaluate and improve data collection, analysis, and reporting practices.

Required Skills & Qualifications:

Bachelor's or Master's degree in Finance, Data Science, Computer Science, or a related field.
3 to 5 years of experience in finance, data analysis, and data science.
Proficiency in Excel (including advanced Macros, VBA, and pivot tables) and sequal query management tools.
Strong knowledge of big data analytical applications like Power BI, TableEU, Power Query, or similar application for creating dashboards, data modeling, and DAX calculations.
Experience with statistical analysis, predictive modeling, and machine learning techniques.
Strong analytical mindset and problem-solving skills with attention to detail.

Excellent communication skills to present technical findings to non-technical stakeholders.
Ability to work independently and collaboratively in a fast-paced environment.

Preferred Skills:

Knowledge of SQL for querying databases.
Experience with Python or R for data analysis and automation.
Understanding of financial regulations and compliance requirements.
Prior experience in the IT or financial services industry.

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