Business Intelligence Analyst
3 weeks ago
We are a global leader in talent advisory services, empowering organizations to optimize their value creation. Our mission is to connect companies with leading talent, transforming businesses and industries through innovative technology and deep networks.
Career Growth at TrueWe are committed to developing early career talent, offering robust L&D programming and clear career pathing. Our meritocracy-based approach includes bi-annual promotion opportunities for top performers.
About the RoleWe are seeking a Data Analyst/Senior Data Analyst to join our data team. In this role, you will be a key contributor to turning our data into actionable insights, collaborating with internal teams and platform teams to improve business decisions through the use of data.
Key Responsibilities:- Collaborate with internal teams and platform teams to leverage data and analytics as a differentiator in all aspects of the business.
- Perform ad-hoc quantitative and qualitative analysis across various strategic and operational topics.
- Create and communicate insights through various mediums (dashboards, slide presentations, or written reports).
- Partner with leadership to create best-in-class technology-enabled services for our clients.
To succeed in this role, you will need:
- Data savvy – Strong analytical acumen and experience.
- Tech savvy – Enjoys an environment that calls for fast adoption of new technologies and workflows.
- Intellectually curious – About how we measure success at the industry, company, and individual level both internally and for our clients.
- Quick Thinker – Able to think quickly on your feet and work with minimal supervision.
- Self-starter – Strong, entrepreneurial work ethic with an intrinsic desire to succeed.
- Experienced Communicator – Strong oral and written communication skills with an ability to easily establish rapport with others.
- Inclusive Collaborator – Thrive in a company culture where all are welcomed, included, and given the opportunity to succeed.
You should have:
- Experience building models in Excel.
- Strong SQL experience.
- Experience with data visualization and BI tools (e.g., SiSense, Domo, Tableau, etc.).
- Python or R preferred, but not required.
- Degree in a quantitative field (e.g., statistics, economics, applied math, operations research, engineering).
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