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Remote Data Analytics Fall Internship Jobs in Texas

We are looking for a Data Analyst to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude and creativity ...

Location : Remote | USA | Full-time | Preference for Hybrid in Dallas, TX, New York, NY and ... Bachelor's degree in Business, Data Analytics, Statistics, Healthcare Administration, or a related ...

Internship Program

Austin, TX · On-site

$14.75 - $19.75/hr

... and policy analysis. The Ideal Candidate Our internship class is generally made up of current ... Fall and Spring interns are given a stipend of $1000. Summer interns are given a $1500 stipend.

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Manage our Analytics Pipeline * Build custom dashboards using our Analytics Tech Stack WHAT SUCCESS ...

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Manage our Analytics Pipeline * Build custom dashboards using our Analytics Tech Stack WHAT SUCCESS ...

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Remote Data Analytics Fall Internship information

What are the key skills and qualifications needed to thrive as a Remote Data Analytics Fall Intern, and why are they important?

To thrive as a Remote Data Analytics Fall Intern, you need strong analytical abilities, proficiency in statistics, and foundational knowledge of data analysis, typically gained through coursework in data science, mathematics, or related fields. Familiarity with tools such as Excel, SQL, Python, R, and data visualization platforms like Tableau or Power BI is common, and basic certification in analytics or programming can be beneficial. Excellent communication, time management, and problem-solving skills help interns stand out, especially in a remote environment. These skills and qualities are crucial for effectively analyzing data, collaborating virtually, and delivering actionable insights to support business decisions.

What is a Remote Data Analytics Fall Internship?

A Remote Data Analytics Fall Internship is a temporary, typically part-time position offered during the fall semester that allows students or recent graduates to work on data analytics projects from a remote location. Interns gain hands-on experience analyzing data, creating reports, and using analytical tools while collaborating with a team virtually. This internship helps individuals build valuable skills in data analysis, communication, and problem-solving, often serving as a pathway to full-time roles in data science or analytics.

What are some common challenges interns face during a remote data analytics internship, and how can they overcome them?

One common challenge is staying connected and communicating effectively with team members when working remotely. Interns may also find it difficult to access data or tools due to security protocols or lack of familiarity with remote platforms. To overcome these challenges, it's important to proactively schedule regular check-ins with your supervisor, ask for clear documentation, and leverage collaborative tools like Slack or Microsoft Teams. Building strong virtual relationships and being diligent about time management can also help ensure a productive and rewarding remote internship experience.

What is the difference between Remote Data Analytics Fall Internship vs Remote Data Analyst?

AspectRemote Data Analytics Fall InternshipRemote Data Analyst
CredentialsTypically pursuing or recent graduate in data-related fieldBachelor's or higher in data science, statistics, or related field
Work EnvironmentInternship program, often part-time or project-basedFull-time or part-time professional role
Employer UsageInternship programs in tech, finance, healthcare, etc.Established companies, startups, consulting firms
Search IntentLearning, gaining experience, entry-level opportunitiesPerforming data analysis, reporting, decision support

The Remote Data Analytics Fall Internship is an entry-level, temporary position designed for students or recent graduates to gain hands-on experience. In contrast, a Remote Data Analyst is a full-time professional role requiring more experience and responsibilities. Internships focus on learning and skill development, while data analyst roles involve ongoing analysis and decision-making support.

What job categories do people searching Remote Data Analytics Fall Internship jobs in Texas look for? The top searched job categories for Remote Data Analytics Fall Internship jobs in Texas are:
What cities in Texas are hiring for Remote Data Analytics Fall Internship jobs? Cities in Texas with the most Remote Data Analytics Fall Internship job openings:
USAA Signal Fellowship Program-Data and Analytics

USAA Signal Fellowship Program-Data and Analytics

USAA

San Antonio, TX • On-site, Remote

$77K - $97K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


USAA rating

8.3

Company rating: 8.3 out of 10

Based on 251 frontline employees who took The Breakroom Quiz

35th of 142 rated banks


Job description

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

The Opportunity

Join our USAA Signal Fellowship Program and play a key role in driving critical business initiatives while gaining hands-on experience across the entire data lifecycle, from data governance to data analysis. This program offers a unique opportunity for military affiliates to launch a rewarding career in a data-driven role at USAA, setting you up for long-term success and leadership opportunities in data & analytics.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position is based in San Antonio, TX. Relocation assistance is not available for this position.

What you'll do:

  • 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 at USAA.
  • Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

  • 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.
  • 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.
  • Military veteran who has recently separated from the military with an honorable discharge.
  • Military service that includes 4+ years of experience in data & analytics, information management, data engineering, or software development implementing data solutions.
  • 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.

What sets you apart:

  • 1-2 years of experience with SQL
  • Experience with data governance frameworks, data quality management, and data security principles.
  • Experience with cloud computing platforms such as AWS, Azure, or Google Cloud, and related data engineering tools.
  • Experience with ETL (Extract, Transform, Load) processes and tools for data warehousing.
  • Experience with statistical analysis techniques and tools such as R or Python.
  • Advanced skills in data visualization using tools such as Tableau or Power BI, with the ability to create interactive dashboards and reports.

Compensation range: The salary range for this position is: $85,040 - $162,550.

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


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