327 IT & Software Developer jobs in the US
Requirements
Must:
- Bachelors degree in a quantitative analytics field (Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science) or equivalent 4 years of related experience in statistics, mathematics, or quantitative analytics.
- 4 years of experience in data/analytics or functional business experience within the relevant industry (Property & Casualty, Banking, Finance), or an advanced degree with 2 years of relevant experience.
- Proficiency in mathematical and statistical methods that support evidence-based decision-making.
- Intermediate and some advanced knowledge of data analysis tools, data visualization, SQL, SAS, BI tools, and capabilities in connecting external insights to business challenges.
Responsibilities
- Utilize intermediate to advanced analytical skills to engage with cross-functional teams, understanding business goals and influencing solution strategies.
- Employ advanced analytical techniques to resolve medium to large-scale business challenges that impact strategies.
- Apply innovative quantitative methods to generate actionable insights for addressing business objectives and guiding change.
- Convert analytical findings into presentation materials for peer and management review.
- Use visualization techniques to clarify analysis points for diverse audiences.
- Identify and compile quality data sources necessary for addressing business issues through exploratory data analysis (EDA).
- Integrate and transform various data sources, applying appropriate data hygiene measures.
- Document assumptions, methodologies, validation processes, and testing for compliance and peer review facilitation.
- Stay informed about emerging technologies that may influence scientific methodologies or quantitative approaches.
- Present analyses in a comprehensible manner to persuade management, support recommendations, and shape business strategies.
- Ensure that risks related to business activities are effectively identified, measured, monitored, and controlled as per compliance policies.
Description
At USAA, our purpose is to empower our members to achieve financial security through competitive products, outstanding service, and trusted advice. We prioritize a culture that embodies honesty, integrity, loyalty, and service, defining our interactions both internally and with our members. As a Paid Search Analyst in the Property & Casualty division, you will play a critical role in optimizing our Paid Search investments through data and analytics. We offer a flexible work environment where team members are expected to work in-office four days per week from locations including San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, Chesapeake, VA, or Tampa, FL. Our comprehensive benefits promote physical, financial, and emotional wellness, including top-tier medical and retirement plans, paid time off, and professional development opportunities.
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You can find Data Engineer salaries in the United States here.
How many Data Engineer jobs are in the United States?
Currently, there are 327 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.
Is the US a good place for Data Engineers?
The US is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Data Engineer jobs in the United States?
Murmuration, Thales, Snaplii, Atlas Disposal, Abby Connect, Brooksville, Frantic Holdings, LLC among others, are currently hiring for Data roles in the United States.
The company with most openings is USAA as they are hiring for 17 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is USAA as they are hiring for 17 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.