1 день назад
Senior Data Analyst
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Analyst (AWS/Snowflake/BI): Building data-driven reporting, dashboards, and validation solutions for financial institution operations with an accent on quantitative analysis, data modeling requirements, and KPI development. Focus on analyzing trends, validating machine learning models, and translating complex data into decisions for technical and non-technical stakeholders.
Location: San Antonio, Texas, United States
Company
operates a financial institution group focused on data-driven solutions, reporting, and business performance improvement.
What you will do
- Collaborate with data scientists, data engineers, and BI developers to deliver end-to-end data solutions.
- Develop requirements for dynamic reports, dashboards, data models, and centralized data solutions.
- Analyze activity and performance trends using charts, graphs, pivot tables, and other data visualizations.
- Perform quantitative analysis, data wrangling, data storytelling, validation, and ad hoc reporting.
- Develop KPIs, success criteria, dashboard requirements, proof-of-concept solutions, and alert triggers.
- Maintain documentation and support data governance and security best practices.
Requirements
- Bachelor’s degree in data science, data analytics, business, finance, mathematics, computer science, or a related field, or equivalent experience.
- At least three years of experience in quantitative analysis in a fast-paced or diverse product environment.
- Experience with BI development and best practices across BI tools such as Tableau, Power BI, DOMO, or Looker.
- Proficiency in data-focused coding languages including Python, SQL, and Jinja.
- Ability to interpret ambiguity, make decisions, and provide recommendations with minimal direction.
- Strong written and verbal communication skills, including presenting analysis to technical and non-technical leadership.
Nice to have
- Experience in banking, payment processing, or risk management.
- Experience validating and tuning machine learning models.
Culture & Benefits
- Competitive overall compensation package.
- Work-life balance and employee engagement activities.
- Healthcare coverage options and traditional or Roth 401(k) retirement plans.
- Career growth opportunities, continuing education, certifications, a Leadership Academy, and a Mentor Program.
- Recognition programs, service awards, and a wellness program.
- Pre-employment drug testing is required; the workplace is substance-free and tobacco users are not hired where permitted by law.
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