We’re looking for a talented and detail-oriented Data Analyst to join our growing team. This remote position offers a fantastic opportunity to help us make data-driven decisions that impact our business and our clients.

Key Responsibilities:

Analyze and interpret complex datasets to guide decision-making.
Provide actionable insights through data visualization and reporting.
Collaborate with cross-functional teams to optimize data-driven strategies.
Maintain and improve databases to ensure data integrity and accuracy.

Qualifications:

Proven experience in data analysis, with expertise in Excel, SQL, and/or statistical software.
Strong analytical skills and attention to detail.
Excellent communication and problem-solving skills.
A degree in Data Science, Statistics, Mathematics, or a related field is a plus.

The ideal person for this position has an exceptional eye for detail, expertise as a data analyst, and a solid understanding of popular data analysis tools. He/she will work closely with product owners across various lines of business to understand the objectives of the organization and prioritize any requirements.

Responsibilities:

Manage data – Own the master data and all that it contains. Review and report all findings to appropriate parties. Explain the testing of data and the ability to import and process anything confidential according to the guidelines given. Create reports for the customer and internal users that can provide clarity trends as well as areas for improvement.
Support data – Support the data warehouse in identifying and revising reporting requirements as well as initiatives for data integrity and normalization. Make recommendations for improvements and suggest ways to generate sales of our existing products by analyzing all trends. Compile business intelligence and trends to support actionable recommendations.

Requirements:

Bachelor's degree in Computer Science, Mathematics, Information Management or a related field
1 year of experience as a data analyst or in a related field
Ability to understand business needs and relay into easy to understand, non-technical language
High-level written and verbal communication skills

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Data Analyst