Data Analyst

We are looking for a highly analytical and detail-oriented Data Analyst to join our growing team. The ideal candidate will be responsible for collecting, cleaning, analyzing, and interpreting data to generate actionable business insights.

In this role, you will work closely with business, product, operations, finance, marketing, and technology teams to understand their data requirements and deliver accurate reports, dashboards, and analysis. The position offers an excellent opportunity to work with modern analytics tools and contribute directly to data-driven decision-making.

Key Responsibilities

Collect, clean, transform, and analyze data from multiple sources

Write and optimize SQL queries for data extraction and analysis

Develop and maintain interactive dashboards using Power BI, Tableau, or similar BI tools

Create recurring and ad-hoc reports for business stakeholders

Identify trends, patterns, anomalies, and opportunities within datasets

Track and analyze KPIs and business performance metrics

Perform data validation and quality checks to ensure accuracy and consistency

Work with stakeholders to understand business problems and convert them into analytical requirements

Provide data-driven insights and recommendations to support business decisions

Automate repetitive reporting and data analysis processes where possible

Maintain documentation of datasets, reports, dashboards, and analytical processes

Collaborate with data engineers and other technical teams on data pipelines and reporting requirements

Present analytical findings clearly to both technical and non-technical stakeholders

Support forecasting, trend analysis, and business performance analysis

Ensure appropriate handling of confidential and business-sensitive data

Required Skills & Qualifications

1–4 years of experience in Data Analytics, Business Intelligence, Reporting, or a related field

Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Business Analytics, Information Technology, or a related discipline

Strong proficiency in SQL

Advanced knowledge of Microsoft Excel, including Pivot Tables, XLOOKUP/VLOOKUP, formulas, charts, and data manipulation

Hands-on experience with Power BI, Tableau, or another business intelligence platform

Understanding of data cleaning, transformation, and visualization techniques

Basic to intermediate knowledge of statistics and data analysis

Strong analytical and critical-thinking skills

Excellent attention to detail and data accuracy

Ability to communicate complex findings in a simple and understandable manner

Strong written and verbal communication skills

Ability to manage multiple analytical tasks and meet deadlines in a remote environment

Preferred Skills

Candidates with experience in the following areas will have an added advantage:

Python or R for data analysis

Power BI DAX and data modeling

Power Query

ETL / ELT processes

Data warehousing concepts

MySQL, PostgreSQL, SQL Server, or similar databases

Cloud platforms such as AWS, Azure, or GCP

Google Analytics or similar analytics platforms

Statistical analysis and forecasting

Automation of reporting workflows

Familiarity with Agile/Scrum environments

What We Offer

100% Remote Work

Flexible Working Hours

Competitive Salary Package

Learning & Professional Development Opportunities

Mentorship and Knowledge Sharing

Career Growth Opportunities

Collaborative and Supportive Work Environment

Opportunity to Work on Real-World Data Analytics Projects

Exposure to Modern Data & Business Intelligence Technologies