Data Analyst - Remote

Overview

Anca Revnic is seeking a detail-oriented and highly analytical individual to join our team as a Data Analyst. In this role, you will play a crucial part in driving our data initiatives and leveraging data-driven insights to inform business decisions. You will be responsible for collecting, processing, and analyzing large sets of structured and unstructured data to uncover trends, patterns, and actionable insights that will support strategic initiatives. As a Data Analyst, you will work closely with cross-functional teams, including marketing, finance, and operations, to ensure data accuracy and integrity while providing regular reports and presentations to stakeholders. Your expertise in data visualization tools and statistical analysis will enable you to transform complex data into understandable and meaningful insights. Additionally, you will assist in the development of key performance indicators (KPIs) and dashboards that monitor the performance of different business units. If you are passionate about data and enjoy working in a fast-paced environment, we invite you to bring your skills and creativity to Anca Revnic.

In Short

• Collect, clean, and preprocess data from various sources for analysis.
• Conduct Exploratory Data Analysis (EDA) to identify trends and patterns in the data.
• Develop and maintain interactive dashboards and reports for stakeholders.
• Collaborate with cross-functional teams to define data requirements and insights needed for decision-making.
• Utilize statistical methods and data modeling techniques to analyze data sets.
• Prepare and present data analysis findings to various levels of management.
• Monitor and optimize data collection and processing procedures to improve accuracy and efficiency.

Requirements

• Strong analytical skills and attention to detail.
• Proficiency in data visualization tools (e.g., Tableau, Power BI).
• Experience with statistical analysis and data modeling techniques.
• Ability to work collaboratively with cross-functional teams.
• Strong communication skills for presenting findings.
• Experience with data cleaning and preprocessing.
• Knowledge of database management and query languages (e.g., SQL).

Benefits

• Competitive salary and benefits package.
• Opportunities for professional development.
• Dynamic and fast-paced work environment.
• Collaborative team culture.
• Flexible working hours.