Data Analyst

Overview

Key Responsibilities:

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.
  
  

• 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.