Segvity

Data Analyat

System limited • Full-time

May 2023 - Present • 3 yrs

A Data Analyst at Systems Limited is responsible for transforming raw data into meaningful insights that support business decision-making. The role involves working with large datasets, developing dashboards, and collaborating with cross-functional teams to drive data-driven strategies. Key Responsibilities: Collect, clean, and analyze data from multiple sources to ensure accuracy and consistency Develop interactive dashboards and reports using tools like Power BI, Excel, or Tableau Perform data modeling and write complex queries using SQL Identify trends, patterns, and anomalies to provide actionable insights Collaborate with business and technical teams to understand requirements and deliver solutions Handle data discrepancies by comparing multiple data sources and ensuring data integrity Support stakeholders by answering data-related queries and providing analytical insights Maintain documentation and ensure reports are aligned with business needs Required Skills & Tools: Strong proficiency in SQL, Excel, and Power BI Knowledge of data visualization and reporting techniques Understanding of data modeling and data warehousing concepts Familiarity with programming languages like Python or R (preferred) Strong analytical thinking and problem-solving skills Attention to detail and ability to work with large datasets

DATA ANALYST

Curated Cloud Computing • Full-time

Feb 2021 - Jan 2023 • 1 yr 11 mos

Data Analyst – Curated Cloud A Data Analyst at Curated Cloud is responsible for leveraging data to support cloud-based solutions, business intelligence, and decision-making processes. The role focuses on analyzing datasets, building dashboards, and working closely with cloud and engineering teams to deliver scalable, data-driven insights. Key Responsibilities: Collect, process, and analyze structured and unstructured data from cloud platforms Develop interactive dashboards and reports using tools like Power BI or Tableau Write and optimize SQL queries for data extraction and transformation Work with cloud data platforms (e.g., Azure, AWS, or Google Cloud) for data storage and processing Identify trends, patterns, and business insights to support strategic decisions Ensure data accuracy, consistency, and integrity across systems Collaborate with data engineers and stakeholders to define business requirements Automate reporting processes and improve data workflows Required Skills & Tools: Strong proficiency in SQL, Excel, and Power BI Familiarity with cloud platforms (Azure, AWS, or GCP) Understanding of ETL processes and data pipelines Basic knowledge of Python or R (preferred) Experience with data modeling and visualization techniques Strong analytical and problem-solving skills