Data Analyst
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Role details
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Job description
- Data Analysis & Reporting: Extract, clean, and analyze large datasets from multiple sources to identify trends, anomalies, and optimization opportunities.
- Dashboard Development: Design, build, and maintain automated dashboards and data visualizations (using tools like Power BI or Tableau) to track key business metrics.
- Cross-Functional Collaboration: Coordinate with different departments-including sales, marketing, and operations-to align data insights with daily operations and growth strategies.
- Predictive Modeling: Assist in building forecasting models and performing predictive analysis to support strategic decision-making.
- Data Integrity & Governance: Audit data entry processes and system integrations to ensure the highest standards of data accuracy and reporting consistency.
Requirements
Do you have experience in Data-driven problem-solving?, Do you have a Bachelor’s degree?, Are you a problem solver who loves turning raw numbers into actionable business strategies? We are seeking a detail-oriented, analytical Data Analyst to join our growing team. In this role, you won’t just crunch numbers-you will be a strategic partner, transforming complex datasets into clear insights that drive daily business operations and long-term growth.
This position is ideal for a professional eager to own data workflows, build scalable reporting models, and collaborate directly with cross-functional leadership. If you thrive on finding patterns where others see chaos, we want you on our team., * Education & Experience: Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Business Analytics, or a related field (or equivalent hands-on professional experience).
- Technical Proficiency: Strong command of SQL for querying and data manipulation. Familiarity with programming languages like Python or R for data analysis is highly preferred.
- Visualization Tools: Proven experience creating impactful reports and dashboards in Tableau, Power BI, or Google Looker Studio.
- Excel Mastery: Advanced knowledge of Microsoft Excel (VLOOKUPs, pivot tables, advanced formulas, and data modeling).
- Analytical Mindset: Exceptional critical-thinking skills with a demonstrated ability to translate technical findings into clear, non-technical business recommendations.
Benefits & conditions
Pulled from the full job description
- 401(k)
- Health insurance
- Dental insurance
- Life insurance, We believe data is the foundation of our success, and your work will directly impact our corporate trajectory. You will have access to a collaborative environment, mentorship from senior analytics professionals, and a clear roadmap for career advancement into data engineering, data science, or leadership positions.
Pay: $63,397.02 - $76,349.09 per year, * 401(k)
- Dental insurance
- Health insurance
- Life insurance
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