Data Analyst (225-726)

A Data Analyst plays a crucial role in interpreting data to provide actionable insights that can drive business decisions. Situated at the intersection of technology and business, this role involves gathering, analyzing, and interpreting complex data sets to enhance business processes, improve decision-making, and inform strategy. The Data Analyst is responsible for implementing strategies that optimize statistical efficiency and quality. Using data visualization and analytical tools, the Data Analyst communicates findings in a clear, concise manner to both technical and non-technical stakeholders. Successful candidates are expected to have a keen eye for detail, a strong analytical mindset, and the ability to turn data into strategic information. They collaborate with various departments, including marketing, finance, and operations, to extract, analyze, and share data-driven insights, supporting the company’s objectives.

Responsibilities

• Collect, clean, and interpret data sets to analyze business performance metrics.
• Develop and implement databases, data collection systems, and data analytics strategies.
• Identify trends, patterns, and correlations in complex data sets for increased insight.
• Work closely with management to prioritize business needs and information requirements.
• Utilize statistical analysis to drive business strategy and decision-making processes.
• Create detailed reports and visualizations to present findings to stakeholders clearly.
• Monitor data quality and integrity through consistent checks and data maintenance.
• Collaborate with IT and business teams to streamline data flow and integrity.
• Design and build data visualization dashboards to support dynamic reporting needs.
• Create and maintain documentation on data analysis methodologies and procedures.
• Train team members on analytics concepts and data-driven decision-making.
• Stay updated on emerging data technology trends and suggest relevant improvements.

Requirements

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field.
• Proven experience as a Data Analyst or in a related analytical position.
• Proficiency in data analysis tools such as SQL, Python, or R is essential.
• Strong knowledge of data visualization tools like Tableau, Power BI, or equivalent.
• Excellent analytical skills with the ability to collect and analyze data trends.
• Experience interpreting complex data to make data-driven business decisions.
• Strong communication skills with the ability to present data findings clearly.
• Ability to work collaboratively with cross-functional teams and stakeholders.
• Detail-oriented mindset with a focus on quality and innovation in data analysis.