Data Analyst
Role details
Job location
Tech stack
Job description
Please do not forward resumes to our jobs alias, Hayden AI employees or any other company location. Hayden AI is not responsible for any fees related to unsolicited resumes., Hayden AI seeks a Data Analyst to support a diverse set of stakeholders with Data and Analytics needs. This is a great opportunity for someone who wants to deliver a big impact: you'll be supporting the Data Science team and operate at the intersection of Data Engineering, Analytics and Data Science. You will work with transit agencies, the customer success team, finance, product, company executives, and engineers. You will enable all of them to get their data questions answered in a timely manner with a high accuracy., * Create and improve standardized metrics from foundational datasets using dbt models and AWS Glue jobs
- Create and improve compelling data stories, visualizations and dashboards based on stakeholder and UX feedback
- Create data reports that answer ad hoc requests from cross-functional teams for impact analyses, anomaly investigations and root cause analyses, etc.
- Serve as first responder for data discrepancy and freshness issues.
- Translate business questions into data requirements, acting as the interface between customer-facing teams and the data team.
- Monitor data quality and completeness in data processing steps across multiple fleets, flagging issues and driving fixes.
- Support data scientists by preparing datasets, performing exploratory analysis, and providing review and feedback on team analyses.
- Communicate findings and recommendations clearly to both technical and non-technical stakeholders.
Requirements
Do you have experience in Statistics?, Do you have a Bachelor's degree?, * Bachelor's in Data Science, Statistics, Computer Science, Economics, Transportation Engineering, or a related field.
- 1-3 years of experience in data analytics
- Strong SQL skills and experience working with data warehouse systems such as Amazon Redshift, Google BigQuery, or Snowflake.
- Strong knowledge of Python for data manipulation and analysis (e.g., Pandas, NumPy).
- Experience with dbt, AWS Glue, or similar data transformation and pipeline tools.
- Experience building and maintaining dashboards in BI tools such as Tableau or Looker.
- Solid understanding of descriptive statistics and ability to interpret analytical results.
- Strong communication skills with the ability to present findings to both technical and business audiences., * Master's or PhD in Data Science, Transportation, or a related field.
- Previous experience working with geospatial analytics and spatial datasets.
- Experience with large-scale time-series and mobility datasets (e.g., GTFS, GPS traces, transit logs).
- Experience with Grafana or similar operational monitoring tools.
- Exposure to cloud platforms, especially AWS.
- Prior experience in a startup environment and a desire to make a significant impact.
Benefits & conditions
Pulled from the full job description
- 401(k)
- Health insurance
- 401(k) matching
- Vision insurance
- 401(k) 3% Match
- Dental insurance
- Flexible spending account, Keep in mind that salary is just one piece of Hayden's total compensation package. We also offer equity and a company-wide bonus plan. Additional benefits are shared as part of this job posting., There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in a wide range of fields (AI, Computer Vision, Government Contracting, Systems & Device Engineering, Operations, Communications, and more!)
- Options for medical, dental, and vision coverage for employees and dependents (for US employees)
- Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)
- 401(k) with 3% company matching
- Unlimited PTO
- Daily catered lunches in our San Francisco office
At Hayden AI, we are committed to creating an inclusive and diverse workplace where everyone is treated with respect and dignity. We believe that our differences make us stronger and drive innovation. As an equal opportunity employer, we do not discriminate against any employee or applicant based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status. We are dedicated to fostering a work environment that celebrates diversity and ensures that every individual has the opportunity to contribute to our mission and achieve their full potential.