Overview:
We're looking for a talented and highly motivated Business Intelligence Analyst. Living and working in a culture that is more concerned about personal privacy than personal accountability presents great challenges for us and, most importantly, for our members. This is also true with the technology stacks we all use every day, especially the ones that sit right in our pockets.
While reporting to the manager of our Business Intelligence team, you will support our executive staff, department heads, project managers, and other decision makers across the company. Your primary focus will be to reduce both uncertainty and over certainty by analyzing highly complex problems and providing high quality, easily consumable information and reports using various state-of-the art data engineering, data mining, data science, and business analysis tools, systems, and processes.
As a member of our small team, you will be given autonomy in your work, the opportunity to mentor teammates, and provide domain - specific leadership and direction on technical projects and business initiatives related to data science, data management, and other business intelligence and data analysis initiatives.
By interpreting information from multiple sources using a variety of techniques, ranging from simple data aggregation to statistical and machine learning analysis and complex data mining, you'll identify and quantify business trends, problems, and opportunities and produce predictive and prescriptive reports and solutions that advise and inform executives, managers, and other decision makers.
Responsibilities:
- Collaborate with executive team, department heads, project managers, and other decision makers across the company to reduce uncertainty and over-certainty.
- Work closely with cross-functional teams to understand data needs and provide findings and insights to both technical and non-technical stakeholders, supporting data-related inquiries and troubleshooting.
- Implement data quality checks and validation processes, ensure adherence to data governance policies, and contribute to the documentation of data definitions, sources, and methodologies.
- Gather and consolidate data from various sources, ensuring its accuracy and completeness.
- Collaborate on the design, development, and implementation of statistical and machine learning models and engineered algorithms to analyze complex data and generate descriptive, diagnostic, and predictive reports to identify trends, patterns, and anomalies.
- Create and maintain high-quality, easily consumable data visualizations, reports, and dashboards, and prepare ad-hoc reports using various advanced data engineering, data science, and business analysis tools, systems, and processes.
- Participate in continuous improvement initiatives and seek opportunities to enhance data analysis processes and tools, stay updated on industry trends, and look for automation and efficiency improvements.
- Ensure compliance with data privacy regulations and organizational data security policies, handling sensitive data with care and confidentiality.
- Other duties may be assigned as required.
Qualifications:
- Bachelor's Degree in the computer science, mathematics, statistics, library science, or related area, or equivalent experience.
- 2-4 years experience with the following skills:
- Measurement methods & best practices
- Information design
- Data visualization & report design
- Dashboard creation & management
- Forecasting & predictive reporting
- Information architecture
- Output simulating (report/dashboard prototyping)
- SQL query writing & optimization
- Software development/programming
- Survey response data validation & analysis
- Due to the need for nearly immediate responses, this position must maintain high availability and accessibility to the Covenant Eyes Executives, Human Resource, and Marketing Teams.
- Must have the ability to communicate effectively in English, including understanding, speaking, and writing, use a computer and necessary software, travel as needed, use fingers and hands for job tasks, and have visual acuity for reading and interpreting documents and screens; all with or without reasonable accommodations.