Quick overview
SeniorityMid Senior
Work modeHybrid
LocationNoida, India
SQLForecastingPythonReconciliationPower BIData Analysis
Job description
- Data Integrity & Quality Control: Implement quality checks and validation processes to ensure the integrity and accuracy of financial data reported across TM1, Anaplan, and other platforms.
- Reconciliation: Perform data reconciliation between source systems, financial models, and reporting outputs to ensure consistency and identify discrepancies.
- Business Intelligence (BI): Build and maintain BI dashboards that provide clear visual representations of financial data, trends, and key performance indicators (KPIs).
- Collaboration: Work closely with finance, IT, and project teams to align data reporting with business needs and ensure that reporting tools meet the evolving demands of stakeholders.
- Strategic Change: Support and drive tactical and strategic change initiatives, adapting reporting solutions to meet new business requirements and technological advancements.
- Data Analysis: Conduct in-depth analysis of financial data, identify trends, and provide recommendations to improve planning and forecasting processes.
- Optimization: Continuously seek opportunities to optimize existing reporting solutions and introduce new technologies or methodologies to improve reporting accuracy and efficiency.
Required Skills & Experience
- Data Analysis Expertise: Strong experience in data analysis, reporting, and visualization within financial planning functions, preferably using TM1, Anaplan, and Power BI.
- Technical Proficiency: Proficiency in Power BI, including creating reports, dashboards, and integrating data from multiple sources. Knowledge of SQL, Python, or other scripting languages is a plus.
- Finance & Accounting Knowledge: Solid understanding of finance and accounting principles, with experience in financial planning and analysis (FP&A) processes.
- Automation & Optimization: Experience in automating reporting processes and optimizing data workflows to ensure efficiency and accuracy.
- Data Integrity: Strong focus on data integrity, with experience in implementing quality checks and reconciliation processes to ensure the accuracy of financial reports.
- Problem-Solving: Strong problem-solving skills, with the ability to troubleshoot data issues and develop innovative reporting solutions.
- Communication: Excellent communication skills, with the ability to work collaboratively with cross-functional teams and present complex data insights to non-technical stakeholders.
Preferred Qualifications
- Graduate or higher degree in Finance. Candidate with technical degree like BE/BTECH/BCA/MCA/MTECH
- Certifications: Certification in Power BI or other data analytics platforms.
- Programming Skills: Experience with programming languages such as Python, SQL, or R for data manipulation and automation.
- Industry Experience: Prior experience in the insurance or financial services industry.
- Change Management: Experience with change management initiatives and supporting strategic shifts in reporting or data analysis practices.
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