About the Role

We are seeking a detail-oriented and analytical Data Analyst to join our growing team. The ideal candidate will be responsible for collecting, analyzing, and interpreting large datasets to help drive strategic business decisions. You will work closely with cross-functional teams to identify trends, create reports, and develop actionable insights that improve operational efficiency and business performance.

Responsibilities

Collect, clean, and validate data from multiple sources to ensure accuracy and consistency
Analyze large datasets to identify trends, patterns, and business opportunities
Develop dashboards, reports, and visualizations using BI tools such as Tableau or Power BI
Write complex SQL queries to extract and manipulate data efficiently
Collaborate with business stakeholders to understand reporting requirements and KPIs
Perform statistical analysis and present findings in a clear and concise manner
Support data-driven decision-making across departments, including finance, operations, marketing, and product teams
Automate recurring reports and optimize data processes for improved efficiency
Monitor data quality and troubleshoot inconsistencies or anomalies
Document data definitions, workflows, and analytical processes

Required Qualifications

Bachelor’s degree in Data Analytics, Computer Science, Statistics, Mathematics, Information Systems, or related field
Strong knowledge of SQL and database concepts
Experience with Excel, Tableau, Power BI, or other visualization tools
Familiarity with Python or R for data analysis is a plus
Understanding of statistical analysis and data modeling techniques
Excellent analytical, problem-solving, and communication skills
Ability to work independently and collaboratively in a fast-paced environment
Experience with cloud platforms such as AWS, Azure, or Google Cloud
Knowledge of ETL processes and data warehousing concepts
Familiarity with machine learning basics and predictive analytics
Experience working with large-scale structured and unstructured datasets

Matricstek Inc.

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