The   Data Analyst collects, analyzes, and interprets data to support informed business decisions. This role involves identifying patterns, creating visualizations, maintaining databases, and recommending process improvements. Analysts also examine and evaluate business systems and practices to drive efficiency.

Key Responsibilities: 

• Maintain and improve databases, ensuring data integrity and accessibility. 

• Support business systems evaluation and recommend process enhancements. 

• Code and re-code data to refine analytical outputs. 

• Interpret raw data to identify trends and insights. 

• Develop visualizations, such as dashboards and flowcharts, to communicate findings effectively. 

Technical Skills: Atleast 3 years’ professional experience as a data analyst

1. SQL Expertise - Proficient in SQL for data extraction, storage, processing, and analysis. 

2. Data Management & Governance - Understanding data structures, storage, and security best practices & ability to define and maintain data access, ownership, and KPI alignment. 

3. Database & Tools Knowledge: 

• Experience with databases such as Oracle and Snowflake. 

• Experience with SQL client software,  ETL tools (e.g., Talend, Data Services), and command scripts. 

4. Advanced Excel & Access: 

• Proficiency in Excel, including macros and pivot tables. 

• Experience with Microsoft Access for querying, table creation, and formula application. 

5. Data Visualization: 

• Ability to transform raw data into meaningful visual representations (charts, graphs, dashboards)

6. Requirements & Soft Skills: 

• Ability to manage multiple tasks and meet deadlines in a fast-paced environment. 

• Strong written and verbal communication skills to convey insights effectively. 

• Ability to develop narratives and present findings using data-driven storytelling. 

• Comfortable presenting reports and insights to senior colleagues and stakeholders. 

• Ability to collaborate within a team-oriented environment and work independently when needed. 

Not required but good to have: 

1. Experience with command scripts for automation. 

2. Experience with PL/SQL, writing complex queries, joins, subqueries, tracing, and performance tuning.

3. Data Build Tool (DBT)

4. Python Experience

5. Jira/Confluence background

Please refer to job description.