Role Overview
The Data Analyst is responsible for collecting, processing, and interpreting complex datasets to provide actionable insights that drive business decisions. This role involves analyzing trends, creating visualizations, and preparing reports that support strategy, performance improvement, and operational efficiency. Working closely with cross-functional teams, the Data Analyst helps identify key metrics, optimize processes, and enhance data-driven decision-making. The position is ideal for professionals with strong analytical and technical skills who enjoy transforming raw data into meaningful narratives that influence organizational success.
Key Responsibilities
Collect, clean, and organize large datasets from various internal and external sources.
Conduct data analysis to identify trends, patterns, and correlations that support business objectives.
Design and build dashboards, visualizations, and reports using tools such as Power BI, Tableau, or Looker.
Translate complex data findings into clear, concise insights and recommendations for stakeholders.
Collaborate with business, product, and operations teams to define data requirements and KPIs.
Support decision-making processes by developing and maintaining analytical models and forecasting tools.
Validate and ensure data accuracy, consistency, and completeness across systems.
Automate repetitive data processes and reporting tasks using scripting or workflow tools.
Perform ad hoc analyses to address specific business questions and opportunities.
Document methodologies, definitions, and procedures to maintain analytical transparency.
Stay updated on data analytics trends, tools, and best practices to continuously improve performance.
Qualifications and Requirements
Bachelor’s degree in Data Science, Statistics, Economics, Computer Science, Mathematics, or a related field.
1–4 years of experience in data analysis, business intelligence, or a related analytical role.
Proficiency in SQL for data querying and database management.
Strong analytical skills and experience using data analysis tools such as Python, R, or Excel (advanced functions, PivotTables).
Experience with data visualization and reporting tools (Tableau, Power BI, or similar).
Understanding of data modeling, data warehousing, and ETL concepts.
Ability to interpret data and communicate insights clearly to both technical and non-technical audiences.
Attention to detail and a high level of accuracy in handling data.
Strong problem-solving, critical thinking, and organizational skills.
Familiarity with statistical analysis techniques and predictive modeling is a plus.
Excellent communication and teamwork abilities in cross-functional environments.
Summary
The Data Analyst plays a crucial role in turning data into insights that shape strategic and operational decisions. By ensuring data quality, conducting in-depth analyses, and presenting clear visualizations, this role bridges the gap between data and business impact. Ideal for detail-oriented and analytical professionals, the Data Analyst position offers the opportunity to work with modern data tools, influence key decisions, and contribute to measurable business growth across a wide range of industries.