Data Analyst

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.

Key ResponsibilitiesData Management & PreparationExtract, 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.

Analysis & ReportingConduct 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.

SQL & Database WorkWrite 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.

Advanced Analytics & AutomationBuild 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.

Cross‑Functional CollaborationPartner 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.

Data Governance & Best PracticesEnsure 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.