Data Analytics Specialist Kanbir Solutions

3.0 - 7.0 years

0 Lacs

ahmedabad, gujarat

On-site

As a Finance Data Analyst at our UK-based accounting and IT project management service provider with an overseas office in Bapunagar Ahmedabad Gujarat, your primary responsibility will be to analyze and interpret financial data to identify trends and insights. You will be tasked with developing and maintaining advanced Excel Macros and VBA scripts to automate data processing and reporting tasks. Additionally, you will design and build interactive dashboards and data visualizations using tools such as Power BI, TableEU, Power Query, or similar applications to support decision-making. Collaboration with cross-functional teams will be essential to optimize data structures, enhance data accuracy, and accessibility. You will also perform statistical analysis and predictive modeling to support business forecasting and strategic planning. Ensuring data integrity, security, and compliance with regulatory standards will be a key aspect of your role. Providing actionable insights and recommendations based on data analysis to improve financial performance will be crucial. Furthermore, documenting processes, methodologies, and findings for stakeholder understanding and future reference will be part of your routine tasks. Continuous evaluation and improvement of data collection, analysis, and reporting practices will be expected from you. To excel in this role, you should possess a Bachelor's or Master's degree in Finance, Data Science, Computer Science, or a related field along with 3 to 5 years of experience in finance, data analysis, and data science. Proficiency in Excel, including advanced Macros, VBA, and pivot tables, as well as SQL query management tools is required. Strong knowledge of big data analytical applications like Power BI, TableEU, Power Query, or similar tools for creating dashboards, data modeling, and DAX calculations is essential. Experience with statistical analysis, predictive modeling, and machine learning techniques will be beneficial. A strong analytical mindset, problem-solving skills, attention to detail, and excellent communication skills to present technical findings to non-technical stakeholders are necessary. The ability to work independently and collaboratively in a fast-paced environment is also crucial. Preferred skills for this role include knowledge of SQL for querying databases, experience with Python or R for data analysis and automation, understanding of financial regulations, and compliance requirements, as well as prior experience in the IT or financial services industry.,

Posted 2 days ago

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