Senior Data Analyst (5-7 yrs)

Senior Data Analyst

Job Requirements:

Education: Bachelor's / Master's degree required, preferably with a quantitative focus (Statistics, Business Analytics, Math, Economics, etc.)

Relevant Experience:

- 5 to 7yrs of experience

- Relevant working experience in a data advanced analytics, Power BI dashboard development role

Behavioural Skills:

- Delivery Excellence

- Business disposition

- Social intelligence

- Innovation and agility

Knowledge:

- Functional Analytics (Real Estate, Property Management, Facilities, Maintenance, etc.)

- Statistical modelling using Analytical tools (R, Python, KNIME, etc.)

- Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)

- Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools

- Business intelligence & reporting (Power BI including Power Query & DAX, Tableau, Alteryx, etc.)

- Microsoft Office applications (MS Excel, etc.)

Roles & Responsibilities:

Analytics & Strategy:

- Design & develop reports and dashboards to meet the needs of the Real Estate and Facilities Management team

- Create comprehensive reporting on periodic, quarterly basis to create actionable insights

- Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions

- Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data

Operational Excellence:

- Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project

- Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses

Stakeholder Engagement:

- Working collaboratively across multiple sets of stakeholders - Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables

- Articulate complex data to business teams and present the insights in easily understandable and innovative formats