- 경험
- 2년 이상
- 샐러리
- USD 74,000 – USD 111,000 / year
- 채용 공고
- 1
- 게시됨
- 3시간전
- 작업 모드
- 사무실에서
- 교육
- 학사 학위
- 적임
- Candidates with a bachelor's degree in a related field and at least 2 years of experience in business intelligence, analytics, or reporting, or an equivalent combination of education and experience.
- 재개하다
- 신청 시 필수 사항
당신이 일하게 될 곳
직무 설명
Role overview
We are recruiting for a partner company in the Haystack network for a Data Analyst position based in the Austin, Texas Metropolitan Area. This is a full-time, on-site opportunity for someone who enjoys turning data into clear business insight.
What you'll do
- Design, update, and improve dashboards and reports that help clients make informed decisions.
- Work closely with clients to understand what they need from reporting and convert those needs into practical data solutions.
- Build a strong grasp of the underlying data models and pipelines so you can explain outputs with confidence.
- Use AI-based tools to speed up discovery work and quickly test new dashboard ideas.
- Team up with engineering, product, and data functions on data migrations and platform transitions.
- Record data sources, business rules, and report definitions so stakeholders have clear documentation to reference.
What you need
- A bachelor's degree in a relevant field, along with at least 2 years of experience in business intelligence, analytics, or reporting, or an equivalent mix of education and work experience.
- Practical SQL knowledge for querying, joining, and aggregating data from relational databases.
- Experience creating dashboards and reports in BI platforms such as Power BI, Tableau, or Looker.
- Exposure to relational databases and/or cloud data warehouse environments.
- Background in a client-facing or stakeholder-facing role, including gathering requirements and sharing findings.
- Comfort using AI tools for discovery, prototyping, or improving analytics workflows.
Compensation and benefits
- The annual pay range is $74,000 to $111,000.
- There may be additional compensation on top of base pay.
- Paid time off is flexible and includes paid holidays and wellness hours.
- You can expect opportunities for professional growth and exposure to modern AI technologies.
- The team environment is collaborative and centered on data-driven decision-making.
Additional information
This role is being hired for a partner organization. The employer asks candidates to apply through the Haystack process.