Sr. Data Analyst

**Are you ready to make a BIG impact with TD SYNNEX?**

In addition to a competitive benefits package, we provide our co-workers with opportunities to get involved in well-being seminars and programming, employee-led Business Resource Groups (BRGs), leadership development tracks, special industry events, and much more.

**Job Summary**:
The Sr. Data Analyst will work closely with the CMS VP and Director, will support sales, vendor management, marketing, business stakeholders and COE colleagues.

The focus of this role includes developing and delivering the information necessary for making business decisions and providing actionable intelligence that allows senior management to better manage the business.

Additional focus for this role may include interpreting data, analyzing results using various techniques and extracting information which can offer ways to improve products and business approaches thus influencing business decisions.

This includes understanding and reviewing current processes and coordinating and collaborating across business and technology functions to ensure comprehensive solutions are delivered.

The Sr. Data Analyst acts in a lead role on projects, including communications with IT as well as key business stakeholders.

**Essential Duties & Responsibilities Required**:

- Work with CMS VP and Director as well with the Business Intelligence and Analytics team as the primary business partner to deliver solutions in support of business needs. (20%)
- Develop and lead presentations and training for Business and Analytics COE colleagues (15%)
- Coordinate with Analytics COE and business colleagues to develop and create a meaningful reporting and analytics framework to identify business trends, risks, and opportunities. (15%)
- Act as project lead for data and analytics projects (15%)
- Work with business users to develop queries, portal views or complex analytical models to provide the Sr Leaders with the information and proactive analysis they need to make informed business decisions. (20%)
- Evangelize data knowledge and insights: manage communications with stakeholders and other teams, collaborate with both technical and non-technical colleagues to complete data and analytics projects and ensure all parties can use data and analysis to further improve the business (15%)

**Other Duties & Responsibilities**:

- Additional duties as assigned
- Meets attendance and punctuality standards

**Required Knowledge, Skills & Abilities**:

- Able to execute instructions and to request clarification when needed.
- Able to recognize and attend to important details with accuracy and efficiency.
- Able to communicate clearly and convey necessary information.
- Able to create and conduct format presentations.
- Able to interact effectively with all levels of management.
- Able to negotiate skillfully, promote/sell ideas persuasively, and close transactions with mutually beneficial results.
- Possesses strong leadership skills with a willingness to lead, create new ideas, and be assertive.
- Possesses strong organizational and time management skills, driving tasks to completion.
- Able to constructively work under stress and pressure when faced with high workloads and deadlines.
- Able to work independently with minimum supervision.
- Able to maintain confidentiality of sensitive information.
- Able to build solid, effective working relationships with others.
- Able to exhibit ability to be sensitive to the needs, concerns, and feelings of others.
- Able to quickly learn new systems and technology.

**Qualifications**:
**Experience**:

- 3+ Years of relevant work experience.

**Education & Certifications**:

- Bachelor's Degree with Finance, Economics, MIS, Information Systems or related quantitative discipline field of study required.
- Other Education / Certifications: Advanced knowledge/experience with BI/BW tools, Data Visualization tools such as Tableau or PowerBI, SQL
- Familiarity with Statistical modeling techniques
- Familiarity with statistical and general programming languages such as R and/or Python

**Working Conditions**:

- Professional environment.
- Occasional non-standard work hours or overtime as business requires.
- Some travel may be required.