Senior Data Analyst

**ABOUT PRGX**

**Senior Data Analyst**

**Overview**

**Responsibilities**
- Work with internal Data Intelligence team to develop solutions to solve our clients’ business needs with big data
- Analyze/interpret complex data from large, disparate data sources to create actionable insights and metrics for clients
- Help develop and review dashboards focusing on spend analysis, payment performance, SKU-level analytics, spend classification, etc.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques
- Coordinate with internal data services team to receive complete, accurate data on an ongoing basis
- Develop processes, tools and checklists to monitor and analyze data model performance and accuracy
- Analyze and extract data from 3rdparty providers and integrate into our data models and dashboards
- Meet with internal team members on daily status update calls
- Manage and lead certain client projects
- Proactively reach out to clients with status updates

**Requirements**:

- 4-year degree in Finance, Accounting, Business, Economics, Analytics, Statistics, Computer/Data Science, IT or another relevant field
- 3+ years recent hands-on experience working with data tools like or SQL and Python
- Strong MS Excel skills
- Excellent problem solving and communication skills - able to comprehend the problem, translate into technical specs, evaluate potential solutions and execute the plan even when unexpected challenges arise
- Preferred 2+ years of professional experience in consulting, retail, merchandising or similar field performing detailed business or financial analysis
- Preferred experience working with transactional and master data, such as sales, accounts payable/receivable, purchase orders, vendor master, etc.
- Desire and ability to take on a client facing role
- Able to work independently for long durations with mínimal direction
- Able to QA their own work and deliver client-ready output (does not rely on manager to uncover errors)
- Able to provide accurate timing estimates for completion of tasks up front, and ensure timely delivery of those tasks according to the original timeline
- Proactively communicate in multiple ways:

- Helps with continuous improvement, such as identifying potential pitfalls or opportunity areas in current data models and dashboards (e.g. inefficiencies in certain expressions, coding errors, performance optimization, etc.)
- Exhibits flexibility in changing approaches to solving problems based on fluid nature of client needs

**Nice To Have**
- Experience with building dashboards and navigating data visualization tools such as Tableau, Power BI, Qlik Sense
- Experience working with data specific to retail, such as Sales, COGS, and promotional and vendor funding data
- Familiarity with Source-to-Pay, Spend Classification and related business processes
- Management consulting or similar data analytics/software services experience

**Benefits**:

- Full-time contract.
- Hybrid work model.
- Bi-weekly payment in COP
- Internal benefits, including prepaid medicine, life insurance, and more.
- Career development plan.
- SmartFit membership discount.
- Preferred health insurance rates for family members.
- Preferred dental insurance rates for you or your family members.
- Access to Comfama courses for you or your family members.

**WORKING CONDITIONS AND EQUAL EMPLOYMENT**

Any physical demands described are representative of those that must be met by an employee to successfully perform the essential functions of the described job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is occasionally required to remain stationary; move; lift and/or move up to 15 pounds. The employee must regularly sit; use hands to finger, handle, or feel; reach with hands and arms; communicate. Specific vision abilities required by this job include close vision.

PRGX does not discriminate against employees or applicants for employment based upon race, color, national origin, genetic information, religious beliefs, gender, age, marital status, disability, veteran status, or any other protected classifications, activities, or conditions as required by federal, state and local laws.