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Tech Stack
Tools & technologiesAzureCloudERPETLMySQLNoSQLOracleSQLVBA
About the role
Key responsibilities & impact- Design and develop scalable data models and pipelines supporting carve-out financial reporting (P&L, Balance Sheet, Cash Flow)
- Perform data ingestion, transformation, and integration from multiple financial systems (GL, ERP, trial balance)
- Execute data validation, reconciliation, and audit-trail alignment with financial statements
- Build interactive dashboards and reports using Power BI and other visualization layers
- Conduct advanced analytics (financial variance, margin analysis, KPI-driven insights) for transaction support
- Develop and maintain robust data warehousing layers (staging, transformation, reporting)
- Collaborate with cross-functional teams to understand business dimensions and financial constructs
- Evaluating data warehousing tools for business intelligence, data population, data management and metadata management
- Strong working knowledge across the technology stack including ETL, ELT, data analysis, metadata, data quality, audit and design, visualization using Power BI and Paginated reports
- Design, develop, and test in ETL tool environment (GUI/canvas steered tools to create workflows)
- Experience in design documentation (data mapping, technical specifications, production support, data dictionaries, test cases, etc.)
- Adhere to ETL/Data Warehouse development Best Practices, Visualization best practices
- Responsible for Data orchestration, ingestion, ETL and reporting architecture for both on-prem and cloud (MS Azure)
- Assisting the team with performance tuning for ETL and database processes, reporting using excel, power bi and paginated reports
- Apply AI/GenAI-driven techniques to enhance analytics and automate insights generation
- Support POCs, solutioning, and business development initiatives
- Ability to integrate AI into BI workflows for improved insights and efficiency.
Requirements
What you’ll need- 5-8 years of total experience with 3+ years in Data warehousing/ Business Intelligence field with exposure to financial datasets
- Strong understanding of financial concepts (trial balance, consolidation, financial statements) and transforming them into technical usable solutions
- Solid hands-on 3+ years of professional experience with creation and implementation of data warehouses on client engagements and helping create enhancements to a data warehouse
- Strong knowledge of data architecture for staging and reporting schemas, data models and cutover strategies using industry standard tools and technologies
- Minimum 3+ year’s experience in Azure database offerings [Relational, NoSQL, Datawarehouse]
- 2+ years hands-on experience in various Azure services preferred – Azure Data Factory, Azure Data Explorer, Storage, Azure Analysis Services & Databricks
- Minimum of 3 years of hands-on database design, modelling and integration experience with relational data sources, such as SQL Server databases, Oracle/MySQL, Azure SQL
- Knowledge and direct experience using business intelligence reporting tools (Power BI, Paginated reports, Alteryx etc.)
- Strong creative instincts related to data analysis and visualization.
- Strong with Excel with exposure to advanced excel capabilities like Power Query, Power Pivots, VBA
- Curiosity to learn the business methodology, data model and user personas.
- Strong understanding of BI and ETL best practices, analysis, visualization, and latest trends.
- Willingness to mentor team members
- Solid thoughtfulness, technical and problem-solving skills
- Excellent written and verbal communication skills.
Benefits
Comp & perks- Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
- Success, as defined by you : We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
- Transformative leadership : We’ll give you the insights, coaching and confidence to be the leader the world needs.
- Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
ATS Keywords
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Hard Skills & Tools
data modelingdata pipelinesETLdata warehousingdata transformationdata validationdata reconciliationadvanced analyticsdatabase designdata integration
Soft Skills
collaborationproblem-solvingcreativitycuriositymentoringcommunication