
Senior Data Analyst/Reporting
4 weeks ago
Global Rescue is the world's leading membership organization providing integrated travel risk management services, including medical, security, intelligence and crisis response services to consumers, enterprises and governments. Founded in 2004 Global Rescue's unique operational model provides best-in-class services that identify, monitor, and respond to threats and emergencies. For more information, please see www.globalrescue.com.
CULTURE
Global Rescue isn't your average place to work and that's why we're comfortable saying we're not for everyone. Our team of passionate, mission driven professionals are pioneers in the travel risk and crisis management industry. Our mission is simple – protecting and saving lives. We are a high-performance organization operating on a global scale. Our team is made up of driven, passionate, adventurous, team players who have a "get it done mentality." The overall ethos is "no job too big or too small;" this is a place where one needs to be prepared to roll up your sleeves and get things done no matter your title. The culture of the office is fast-paced, collaborative and mission-focused on making a difference.
Role Overview
We are seeking a highly experienced and motivated Power BI Data Analyst (Senior Software Engineer) to work directly with senior leadership on our data-driven initiatives. In this role, you will analyze and interpret complex data sets to drive business insights and decision-making. Your expertise in Power BI and data flow processes will be crucial in developing innovative solutions for data visualization, reporting, and analysis.
Responsibilities
- Collaborate: Work with internal teams to understand and translate business needs, processes, and challenges into effective data visualizations and dashboards.
- Data Analysis: Collect, clean, and transform large and complex data sets from various sources for analysis and reporting purposes.
- Power BI Development: Design, develop, and maintain visually appealing and interactive dashboards, reports, and data visualizations using Power BI tools and techniques.
- Data Modeling: Create and optimize data models to ensure accurate and efficient data analysis and reporting.
- ETL and Data Flow Management: Develop, implement, and manage ETL processes and data flows to ensure seamless data integration and availability for reporting.
- Statistical Analysis: Conduct statistical analysis and hypothesis testing to identify correlations, trends, and relationships in data.
- Data Storytelling: Present data findings in a clear and compelling manner to both technical and non-technical stakeholders, using visualizations, charts, and narratives.
- Data Governance: Ensure data integrity, quality, and security by adhering to data governance and compliance policies.
- Collaborate with Stakeholders: Work closely with cross-functional teams, including business analysts, data engineers, and decision-makers, to understand their requirements and provide data-driven solutions.
- Stay Updated: Keep abreast of the latest trends and advancements in Power BI, data analysis techniques, and ETL processes to continuously improve and enhance data analysis capabilities.
- Experience: Minimum 6+ years of experience in data visualization, with 4+ years of hands-on Power BI development, including creating visually compelling dashboards, reports, and data visualizations.
- Domain Knowledge: Prior working experience in travel management, travel insurance, or membership-based organizations is a plus.
- Certifications: Power BI certification is a plus.
- Education: Bachelor's or master's degree in Data Science, Computer Science, or a related field.
- Proven 4+ years of experience in Power BI development, including creating visually compelling dashboards, reports, and data visualizations.
- Strong knowledge of data analysis techniques, statistical methods, and data modeling concepts.
- Ability to write DAX queries and proficiency with SQL, databases, and data warehousing concepts.
- Hands-on experience with ETL processes and data flow management tools or frameworks.
- Proficiency in programming languages commonly used in data analysis, such as Python or R.
- Familiarity with data integration, data warehousing, and data governance principles.
- Excellent analytical and problem-solving skills, with a keen attention to detail.
- Strong communication and presentation skills, with the ability to convey complex data findings to both technical and non-technical audiences.
- Ability to work independently and collaboratively in a fast-paced, dynamic environment.
- Experience in travel insurance and membership selling business is a plus.
- Experience with Microsoft Dynamics CRM is an added advantage.
- Leadership Skills: Proven experience in working independently and in collaboration with different teams.
- Communication Skills: Excellent verbal and written English communication skills, with the ability to convey complex information to a non-technical audience.
- Analytical Thinking: Strong analytical and problem-solving skills, with a strategic mindset.
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