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The Data Analyst is responsible for transforming complex datasets into meaningful insights that support decision-making across the organization. This role works closely with business stakeholders, technical teams, and leadership to analyze data, build dashboards, optimize reporting workflows, and contribute to data-driven strategies. The position requires strong analytical capability, solid technical skills, and the ability to explain findings to non‑technical audiences.
Job Responsibility:
Extract, clean, transform, and validate data from multiple sources including databases, spreadsheets, APIs, and cloud platforms
Maintain data dictionaries, definitions, and documentation to ensure consistency across reporting environments
Perform quality assurance checks to detect anomalies, missing values, inconsistencies, or data integrity issues
Conduct exploratory data analysis to identify trends, performance drivers, and actionable insights
Develop KPI dashboards, visualizations, and interactive reports using BI tools such as Power BI, Tableau, or Looker
Prepare regular operational, financial, or performance reports for business units and leadership
Translate business questions into analytical approaches and summarize findings clearly for stakeholders
Write intermediate to advanced SQL queries for data extraction, filtering, aggregation, and joining across relational databases
Optimize query performance and support development of reusable SQL logic for reporting and analytics
Collaborate with data engineers on schema changes, new data pipelines, and data model improvements
Build automated reporting workflows using SQL, Python, R, or ETL tools to reduce manual effort
Perform statistical analysis, forecasting, segmentation, and other analytical techniques as needed
Support experimentation, A/B testing, cohort analysis, or predictive modeling initiatives
Partner with Finance, Operations, Marketing, Product, and IT to understand data needs and develop analytical solutions
Gather user requirements, define scope, and manage expectations throughout analytics projects
Present insights and recommendations to leadership in a clear, structured format
Ensure compliance with internal data standards, privacy rules, and access policies
Contribute to documentation, SOPs, and data governance initiatives to enhance data literacy across the business
Support continuous improvement of analytics processes, dashboards, and metrics
Requirements:
Bachelor’s degree in Data Analytics, Information Systems, Statistics, Business, Computer Science, or related field
2–5 years of professional experience in data analysis or business intelligence
Proficiency with SQL and relational databases
Experience with BI tools such as Power BI, Tableau, or Looker