Data Analyst - The Waldheim

Overview

The Data Analyst plays a critical role in supporting the organization's data-driven decision-making process. By collecting, processing, and analyzing vast amounts of data, the Data Analyst transforms raw data into meaningful insights that can enhance operational efficiency, improve customer satisfaction, and drive overall business strategies. This position demands a keen analytical mind with a strong foundation in statistics and data interpretation, as well as proficiency in various data analysis tools and techniques. The Data Analyst is essential in creating visual representations of data that facilitate understanding across various stakeholders. This role not only requires technical expertise but also the ability to communicate findings effectively to non-technical team members, thus bridging the gap between data and actionable insights. By collaborating with cross-functional teams, the Data Analyst ensures that the organization remains ahead of market trends and can adapt to changing business needs.

Key Responsibilities

Collect, clean, and process data from various sources.

Conduct statistical analysis to identify trends, patterns, and anomalies.

Develop and maintain dashboards and reports for data visualization.

Work with stakeholders to understand their data needs and provide analytical support.

Utilize SQL and other tools to extract and manage data.

Analyze large datasets to drive optimization and improvement of product development.

Communicate findings clearly through reports and presentations.

Perform data validation and quality control to ensure accuracy.

Participate in data modeling and storage structure reviews.

Support development of forecasting models and reports.

Identify opportunities for process improvements and implement solutions.

Assist in preparing business cases using data analysis.

Stay updated on industry trends and best practices in data analysis.

Collaborate with IT and database administrators to enhance data management.

Train team members in data-related tasks and tools as needed.

Required Qualifications

Bachelor's degree in Data Science, Statistics, Mathematics, or related field.

2+ years of experience in a data analysis role.

Proficient in SQL and database management.

Strong knowledge of Excel and data visualization tools (e.g., Tableau, Power BI).

Experience with statistical analysis software (e.g., R, Python, SAS).

Solid understanding of statistical methods and data modeling.

Ability to work with large datasets and perform in-depth analysis.

Excellent problem-solving and analytical skills.

Strong attention to detail and accuracy in analysis.

Effective communication skills to present findings to different audiences.

Ability to multitask and manage time effectively.

Familiarity with machine learning concepts is a plus.

Self-motivated with a strong sense of initiative.

Experience working in cross-functional teams.

Knowledge of business intelligence processes is beneficial.

Commitment to professional development and continuous learning.