Data and Analytics - Strategic Staffing Solutions : Job Details

Job DescriptionSTRATEGIC STAFFING SOLUTIONS (S3) HAS AN OPENING!Strategic Staffing Solutions is currently looking for a Data Analyst for a contract opportunity with one of our largest clients located in San Antonio, TX!Title: Data and Analytics Veterans or Veteran Spouses ONLY Location: San Antonio, TX (On-site required) Role Type: Perm Annual Salary: $100K - $115K Full healthcare benefits available 34 days PTO including holidays Educational Assistance Pet Insurance Tasks:

• Execute challenging assignments in data governance, data engineering, and business intelligence, directly impacting team and organizational goals by ensuring data quality, building robust data pipelines, and delivering actionable insights.
• Collaborate with business stakeholders to gather and analyze complex business requirements, translating business problems into clear data needs and actionable solutions.
• Design, develop, and implement innovative technical solutions for data engineering and analytic systems, leveraging technologies to build scalable and reliable data infrastructure.
• Proactively identify opportunities to streamline and improve data-related processes, contributing to increased efficiency and data quality.
• Apply data visualization best practices using tools like Tableau and Power BI to identify key trends, patterns, and actionable insights, presenting data in a clear and compelling manner that aligns with Enterprise branding standards.
• This program features strategically aligned rotational assignments designed to provide you with diverse experiences and build expertise across the entire data lifecycle. You'll have the opportunity to work on a variety of projects and technologies, gaining valuable skills in data governance, data engineering, and business intelligence.
• Participates in structured career development, receives coaching and mentoring, and on-the-job training to foster career advancement within data and analytics.
• Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

Minimum Education:

• Bachelor's Degree; OR 4 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.

Minimum Experience:

• Military veteran who has recently separated from the military with an honorable discharge or currently serving in any reserve or national guard military component.
• Military service that includes 4+ years of experience in data & analytics, information management, data engineering, or software development implementing data solutions.
• Or 8 years of military experience demonstrating collection and organization of data information for reporting and analytics solutions.
• Or Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative subject area and 2 years of experience in predictive analytics or data analysis.
• Basic working experience following data management practices and theories and utilizing tools to implement data management to address data management risks and concerns.
• Experience developing deliverables that leverage business or military-equivalent platforms such as intelligence platforms, data management, Excel or SQL-based languages (e.g., Tableau, Business Objects, Snowflake, Hadoop, Netezza, NoSQL, ANSI SQL, or related).
• Proven ability to build strong relationships and collaborate effectively with team members, stakeholders, and leaders at all levels of the organization.
• Excellent written and verbal communication skills, with the ability to present complex data insights in a clear and compelling manner to both technical and non-technical audiences.
• Understands the Agile methodology practice.
• Knowledge of Microsoft Office Suite, including Word, Excel, and PowerPoint.

*Beware of scams. S3 never asks for money during its onboarding process