Data Analyst

Job Title: Data Analyst

Location: Remote

Company: Girls Scouts

About Us: At Girls Scouts, we’re passionate about leveraging data to drive informed decisions and shape the future of our industry. We’re a dynamic, growing company looking for a highly skilled and motivated Data Analyst to join our talented team. As part of our data-driven culture, you’ll play a pivotal role in transforming raw data into actionable insights that directly impact business strategies and performance.

Job Overview: We are seeking an analytical and detail-oriented Data Analyst who will be responsible for collecting, analyzing, and interpreting complex datasets to provide valuable insights that help guide business decisions. You’ll work closely with cross-functional teams to ensure data is accurately captured, processed, and delivered in a way that drives performance improvements.

Key Responsibilities:

Collect, clean, and organize large datasets from various sources to ensure accuracy and consistency.

Analyze data trends and patterns to provide actionable insights and recommendations to stakeholders.

Create detailed reports, dashboards, and visualizations using tools such as Excel, Power BI, Tableau, or similar.

Collaborate with business teams to understand their data needs and deliver insightful, data-driven solutions.

Perform data validation and troubleshooting to ensure the integrity of the data.

Monitor key performance indicators (KPIs) and metrics, providing regular updates to business leaders.

Assist with ad-hoc data requests and reporting as needed.

Continuously improve data analysis processes and workflows for efficiency.

Required Skills and Qualifications:

Bachelor’s degree in a related field (e.g., Statistics, Mathematics, Computer Science, Business, etc.) or equivalent experience.

Proven experience (2+ years) as a Data Analyst or in a similar role.

Proficiency in data analysis tools (e.g., Excel, SQL, Python, R).

Experience with data visualization software (e.g., Tableau, Power BI).

Strong analytical skills and the ability to interpret and present complex data.

Knowledge of statistical analysis methods and techniques.

Excellent communication skills, with the ability to present data findings clearly and concisely to non-technical stakeholders.

Detail-oriented with a passion for problem-solving and continuous learning.

Preferred Qualifications:

Experience with machine learning algorithms or advanced statistical modeling is a plus.

Familiarity with cloud-based platforms (e.g., AWS, Google Cloud) and big data tools is a plus.

Why Join Us?

Competitive Salary & Benefits: We offer a competitive salary with comprehensive benefits, including health insurance, paid time off, and a 401(k).

Work-Life Balance: Flexible work options and a supportive team culture that values work-life balance.

Growth Opportunities: We believe in nurturing talent and providing opportunities for professional growth and development.

Innovative Environment: Work in a fast-paced, forward-thinking environment where your contributions make a real impact.

If you're a self-motivated data enthusiast with a passion for solving problems and providing actionable insights, we want to hear from you!