Armstrong International - Data Analyst

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We are seeking a highly skilled Data Analyst to design, build, and maintain scalable business intelligence solutions for Finance.
The ideal candidate will possess strong analytical acumen and hands-on expertise with the Microsoft BI stack to deliver actionable insights that drive data-informed decision-making across departments, including exposure to finance and financial planning and analysis (FP&A) concepts such as forecast, actuals, variance analysis, etc.

Key Responsibilities:

- AOP - Develop annual operating plans (AOP) & forecasts for all businesses, by PGs as per Corporate/ business calendar.

- Data Modelling & Architecture: Design robust semantic data models, define relationships, hierarchies, and KPIs that align with business rules and analytics goals.

- Data Transformation: Utilize Power Query (M) and SQL to cleanse, transform, and aggregate data from diverse sources including enterprise systems, data warehouses, and APIs.

- Visualization & Storytelling: Build insightful and interactive dashboards, reports, and visualizations in Power BI that translate complex data into clear, business-relevant narratives.

- Advanced Analytics: Develop and optimize complex DAX measures and time-intelligent calculations to support trend analysis, forecasting, and comparative insights (e.g., YoY, MTD, YTD).

- Collaboration: Partner with cross-functional stakeholders (business, IT, operations, and management) to gather requirements, understand pain points, and deliver tailored BI solutions.

- Performance Optimization: Monitor, troubleshoot, and enhance report performance and refresh schedules for high-volume datasets using Direct Query or Import modes.

- Governance & Documentation: Ensure compliance with data governance policies and maintain thorough documentation for data lineage, metrics definitions, and BI processes.
Required Skills and Qualifications:

- Bachelor's of Commerce/ MBA

- 3-5 years of FP&A experience

- Ability to work independently, exercise appropriate discretion and apply sound judgment with minimal direct supervision

- Excellent time management and organizational skills

- Strong inter-personal communication skills, written and verbal communication skills

- 3+ years of hands-on experience in Power BI development, including data modelling, Power Query, and advanced DAX

- Solid understanding of data warehousing concepts, ETL pipelines, and relational database management systems (e.g., SQL Server, Oracle)

- Proficiency in SQL for querying and transforming data across large datasets

- Strong analytical and problem-solving skills with a keen attention to detail

- Excellent communication skills to convey technical concepts and business insights effectively

- Experience working in Agile environments and with tools like Jira, or Confluence is advantageous
Tools and Technologies:

- Power BI Desktop and Power BI Service (publishing, scheduling, and workspace management)

- Microsoft SQL Server (SSMS, SSIS, T-SQL)

- Power Query (M) and DAX

- Excel (Power Pivot, Power Query)

- Powerpoint