Data Analyst 12J25

As a Data Analyst, you will be an integral part of a dynamic team tasked with extracting, analyzing, and interpreting vast amounts of data to transform it into actionable insights. Your role will be crucial in driving data-driven decisions that will optimize our business strategies and operations. This position requires a blend of analytical prowess, technical skills, and business acumen to dissect complex datasets, create visualizations, and communicate findings effectively to stakeholders. You should have a strong understanding of data management, proficiency in analytical tools, and an eagerness to stay abreast of industry trends and best practices. If you are a results-driven professional with a passion for uncovering data insights, we would love to have you join our team.

Responsibilities

• Collect and decipher complex business data to support strategic decision-making.
• Develop and maintain databases by acquiring data from primary and secondary sources.
• Perform detailed data analysis to identify trends and patterns in datasets.
• Interpret data, analyze results, and provide ongoing reports to key stakeholders.
• Collaborate with IT and business units to ensure data accuracy and integrity.
• Create dashboards and visualizations to showcase data insights in comprehensible formats.
• Analyze existing processes and performances for recommending process improvements.
• Translate business requirements into non-technical terms for team understanding.
• Assist in developing forecasts, algorithms, and machine learning models as needed.
• Ensure adherence to data policies and regulations for maintaining data compliance.
• Support initiatives for data integrity and normalization across multiple sources.
• Partner with senior management to harness analytics for business growth opportunities.

Requirements

• Bachelor’s degree in Data Science, Mathematics, Computer Science, or related field.
• Proven experience working as a Data Analyst or a similar analytical role.
• Proficiency in SQL, Python, R, or other data analysis programming languages.
• Experience with data visualization tools like Tableau, Power BI, or similar software.
• Strong analytical skills with the ability to collect, organize, and analyze data.
• Excellent communication skills to convey technical information to non-technical audiences.
• Ability to manage multiple tasks simultaneously while maintaining strong attention to detail.