Reporting & Data Analyst (225-909)

The role of a Reporting & Data Analyst is pivotal within any organization that seeks to leverage data for strategic decision-making. This position is responsible for transforming large volumes of raw data into actionable insights that drive business growth and efficiency. Working closely with various departments, a Reporting & Data Analyst develops robust reporting tools and dashboards and disseminates important business intelligence across the organization. This role also involves maintaining data integrity and accuracy, ensuring that all reports and analyses are based on trusted data sources. Candidates for this position should be analytical thinkers with a strong grasp of database management, statistical analysis, and data visualization tools. Their work will directly influence company policies, product development, and customer experiences.

Responsibilities

• Develop and maintain comprehensive data reporting tools and dashboards for stakeholders.
• Analyze and interpret data to identify trends, patterns, and anomalies effectively.
• Collaborate with various departments to gather requirements and deliver data solutions.
• Ensure accuracy and integrity of data used in the reporting and analysis processes.
• Prepare and present regular and ad-hoc reports to support business operations and strategies.
• Utilize software tools for data cleaning, visualization, and interpretation to generate insights.
• Train and support staff in accessing and utilizing reporting tools for decision-making.
• Create documentation for data processes, reporting standards, and procedures.
• Monitor and report on data quality issues, providing recommendations for resolution.
• Assist in the development of predictive models and analyses to forecast business trends.
• Research and implement new data analytical tools and frameworks to improve reporting efficiency.
• Assist management in determining key performance indicators and metrics for success.

Requirements

• Bachelor’s degree in Mathematics, Computer Science, Statistics, or related field required.
• Proven experience in data analysis, reporting, and data visualization techniques.
• Strong proficiency in data analytics tools such as SQL, Tableau, or Power BI.
• Excellent problem-solving and analytical thinking skills with attention to detail.
• Strong communication skills, able to convey complex data insights clearly and effectively.
• Experience with data warehousing concepts and tools for data extraction and management.
• Capability to handle large datasets and perform complex data analysis efficiently.
• Ability to work collaboratively in a team environment as well as independently.