
Data Insights Specialist
10 hours ago
Our organization is seeking a skilled Business Analyst to join our analytical team. As a Business Analyst, you will play a crucial role in helping us drive business decisions by transforming raw data into meaningful insights.
This is an excellent opportunity for a talented individual to make a real impact and contribute to the success of our company.
Key Responsibilities- Analyze large datasets to extract meaningful insights and identify trends that support business decision-making.
- Develop interactive dashboards and reports using Tableau and Power Query for data visualization.
- Utilize Adobe Analytics to track and analyze digital performance, user behavior, and key business metrics.
- Write and optimize SQL queries in SQL Workbench to retrieve, manipulate, and process large volumes of data.
- Translate complex data findings into clear and actionable business insights for various stakeholders.
- Create compelling data visualizations and storytelling techniques to communicate findings effectively.
- Work with cross-functional teams to define business analytics needs, ensuring alignment with company objectives.
- Ensure data accuracy, integrity, and automation in reporting processes.
- Identify key KPIs and metrics to measure business performance and suggest data-driven strategies for improvement.
- 3+ years of experience in data analysis, business analytics, and data visualization.
- Expertise in Adobe Analytics for web traffic analysis and performance tracking.
- Strong hands-on experience with Tableau for data visualization and interactive reporting.
- Proficiency in Power Query for data transformation and automation.
- Advanced SQL skills using SQL Workbench to query and manipulate large datasets.
- Strong understanding of business analytics and KPI measurement for data-driven decision-making.
- Excellent data storytelling skills, with the ability to present insights to both technical and non-technical stakeholders.
- Strong problem-solving and critical-thinking skills in interpreting data trends.
- Experience working with cross-functional teams, marketing, product, and finance teams to support data-driven strategies.
- Experience with Python or R for advanced data analysis.
- Familiarity with Google Analytics or other digital analytics tools.
- Exposure to cloud platforms (AWS, GCP, or Azure) for data processing.
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