Detail-oriented and analytical Data Analyst with 1 year of hands-on experience in collecting, cleaning, and analyzing business data to support decision-making. Proficient in SQL, Excel, and Power BI for building insightful dashboards and reports. Skilled in identifying trends, performing root-cause analysis, and presenting actionable insights to cross-functional teams. Adept at working with sales and marketing data to optimize performance and support strategic initiatives. Strong foundation in data visualization, reporting, and basic data modeling.
Data Collection & Extraction
Assist in collecting data from internal systems, databases, APIs, and Excel sheets.
Support senior analysts in writing basic SQL queries to extract data.
Data Cleaning & Preparation
Perform initial data cleaning such as removing duplicates, handling missing values, and formatting inconsistencies.
Help prepare datasets for analysis using Excel or basic Python (Pandas) scripts.
Data Analysis & Reporting
Analyze trends and patterns in data related to business performance, customer behavior, or operations.
Create simple reports and visualizations to present insights using Excel, Power BI, or Tableau.
Dashboard Maintenance
Assist in updating and maintaining existing dashboards and reports.
Ensure that reports are accurate and data is refreshed regularly.
Ad Hoc Data Requests
Respond to ad hoc requests from different departments for specific data or reports.
Gather and deliver requested information in a clear and timely manner.
Documentation
Maintain documentation of data sources, queries, and reporting processes.
Help document metrics definitions and analysis steps for transparency.
Collaboration
Work under the guidance of senior data analysts and data engineers.
Collaborate with business teams (sales, marketing, operations) to understand data needs.
Quality Assurance
Check data outputs for errors or inconsistencies before delivering reports.
Flag issues with data quality and escalate to the appropriate team.
Learning & Development
Continuously improve technical skills (SQL, Excel, Python, BI tools).
Stay updated with basic data analysis concepts and company data policies.
Cross-Functional Collaboration
Worked closely with sales and marketing teams to understand business needs and translate them into data solutions.
1 Programming languages:
2 Data Visualization & Reporting:
3 Data Storage & Retrieval:
4 Project & Documentation Tools: