Platform Support & Stabilization :

- Data Extraction and Manipulation : Extract, clean, transform, and load data from various sources, including Oracle DWH and Amazon Redshift, using tools like SQL and Alteryx.

- Data Analysis and Interpretation : Analyse large datasets to identify trends, patterns, and insights that can drive business decisions.

- Report and Dashboard Development : Design, develop, and maintain interactive and insightful reports and dashboards using PowerBI to visualize key performance indicators and business metrics.

- Business Requirements Gathering : Collaborate with stakeholders from different business units to understand their data and reporting needs, translating them into actionable analytical solutions.

- Collaboration with Enterprise Application Teams : Partner with enterprise application teams to understand data flows, data quality, and ensure data integrity for reporting and analysis.

- Ad-hoc Analysis : Conduct ad-hoc data analysis to answer specific business questions and provide timely insights.

- Data Quality Assurance : Participate in data quality initiatives to ensure the accuracy and reliability of data used for analysis and reporting.

- Documentation : Create and maintain clear and concise documentation for data sources, analytical processes, reports, and dashboards.

- Presentation of Findings : Communicate analytical findings and recommendations effectively to business stakeholders through presentations and reports.

- Continuous Improvement : Identify opportunities to improve data analysis processes, reporting methodologies, and the utilization of analytical tools.

- Documentation : Develop and maintain documentation for data workflows, platform configurations, and operational processes.

- Compliance : Adhere to and enforce data security policies and compliance requirements for the data warehouse environments.

Basic Qualifications :

- Bachelor's degree in a quantitative field such as Business Analytics, Data Science, Statistics, Economics, Computer Science, or a related discipline.

- Minimum of 5-8 years of experience as a Data Analyst or in a similar role.

- Strong proficiency in SQL and experience querying relational databases, particularly Oracle DWH and Amazon Redshift.

- Hands-on experience with data visualization tools, with a strong preference for PowerBI.

- Proven experience using Alteryx for data preparation, blending, and advanced analytics.

- Excellent analytical and problem-solving skills with the ability to interpret complex data and translate it into actionable insights.

- Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.

- Ability to work independently and collaboratively in a fast-paced environment, managing multiple priorities.

- Experience working with diverse business units and understanding their unique data needs is highly desirable.

- A proactive and results-oriented mindset with a strong attention to detail.

- Excellent analytical, problem-solving, and troubleshooting skills.

- Strong communication and collaboration skills, with the ability to work effectively in a team environment.

Preferred Characteristics :

- Familiarity with cloud platforms such as AWS, Azure, or GCP.

- Exposure to data lake concepts and technologies (e.g., AWS S3, Apache Spark, Hadoop) is a plus.

- Familiarity with enterprise application data (e.g., ERP, CRM, SCM) is a plus.

- Experience with other tools like Tableau is a plus.

- Knowledge of data governance, security, and compliance practices.

- Experience working effectively in a global, matrixed organization.

- Ability to drive outcomes in a highly complex matrix environment which is often amorphous.

- Foster a culture of accountability, collaboration, innovation, and customer focus.

- Continuously upskill the team to stay aligned with evolving technology trends and business needs.