Data Analys

Role Description We are seeking a highly analytical and detail-oriented Data Analyst to transform complex data into meaningful insights that support business decisions, operational improvements, and strategic planning. This role is responsible for collecting, cleaning, analyzing, and interpreting data while developing reports, dashboards, and analytical solutions that help stakeholders understand performance, identify trends, and uncover opportunities for growth.

The successful candidate will gather data from internal systems, databases, spreadsheets, business applications, and other relevant sources. You will validate data quality, identify inconsistencies, clean datasets, and ensure information is accurate, complete, and suitable for analysis. You will work closely with business teams to understand analytical requirements and translate business questions into practical data-driven solutions.

The role involves analyzing business performance, customer behavior, operational activities, financial information, sales results, marketing performance, and other key business metrics. You will identify patterns, trends, relationships, anomalies, and performance gaps while providing clear recommendations that support informed decision-making.

You will design and maintain dashboards, reports, data visualizations, and performance trackers using business intelligence and analytical tools. Responsibilities include defining key performance indicators (KPIs), developing automated reporting solutions, monitoring performance trends, and presenting analytical findings in a clear and accessible format for both technical and non-technical stakeholders.

The position requires working with structured and unstructured datasets and applying appropriate statistical, analytical, and visualization techniques to solve business problems. You will use SQL queries, spreadsheets, statistical methods, and data visualization platforms to extract insights and support forecasting, performance measurement, process optimization, and strategic initiatives.

You will collaborate with finance, sales, marketing, operations, supply chain, product, technology, and management teams to identify opportunities for process improvement and business optimization. Responsibilities include supporting data-driven projects, conducting ad hoc analysis, preparing management reports, and providing analytical support for business planning and performance reviews.

The role also involves improving data processes, reporting workflows, and analytical methodologies through automation and modern technologies. You will explore opportunities to use artificial intelligence, machine learning, automation tools, and advanced analytics to improve reporting efficiency, data accessibility, and decision-making capabilities.

You will maintain proper documentation of data sources, analytical methodologies, reporting definitions, and dashboard logic while following organizational data governance, privacy, security, and compliance standards. Strong analytical thinking, attention to detail, communication skills, and a problem-solving mindset are essential to delivering accurate insights and measurable business value.

Qualifications

• Strong understanding of data analysis, business intelligence, statistics, and data visualization principles.
• Proficiency in SQL for data extraction, querying, transformation, and analysis.
• Strong knowledge of Microsoft Excel, including formulas, pivot tables, lookups, charts, and data analysis functions.
• Familiarity with Power BI, Tableau, Looker, or other business intelligence and visualization platforms.
• Understanding of data cleaning, data validation, data transformation, and data quality management.
• Knowledge of statistical analysis, trend analysis, forecasting, segmentation, and performance measurement techniques.
• Ability to develop interactive dashboards, automated reports, KPI trackers, and data visualization solutions.
• Strong analytical and quantitative skills with the ability to interpret complex datasets and identify meaningful patterns.
• Ability to translate business requirements into analytical questions, reporting solutions, and actionable insights.
• Excellent problem-solving and critical-thinking skills with strong attention to detail and accuracy.
• Strong communication and presentation skills with the ability to explain analytical findings to non-technical stakeholders.
• Ability to collaborate effectively with cross-functional teams including finance, marketing, sales, operations, technology, and management.
• Familiarity with Python, R, statistical programming, APIs, databases, or cloud data platforms is advantageous.
• Understanding of data governance, data privacy, information security, and responsible data management practices.
• Ability to manage multiple analytical projects, reporting requests, and business priorities effectively.
• Strong organizational and time management skills with a commitment to delivering accurate and timely analysis.
• Curiosity and willingness to investigate complex business questions and uncover new insights through data.
• Commitment to continuous improvement, automation, emerging analytics technologies, and data-driven decision-making.
• Professionalism, accountability, adaptability, and dedication to producing reliable analytical solutions that support business growth and operational excellence.