The Senior Data Analyst will lead data analytics projects, train team members, and research new technologies to enhance data-driven insights for clients.
100% Remote Full-time Senior Analyst
At NuView Analytics – we help companies accelerate the time to insights from their data. We do this in three ways – data analytics, data diligence, and fractional data science. Our clients are growth stage companies looking to drive additional value from the data they are sitting on. Through our values of – humility, intellectual rigor, and stewardship – we help companies gain a new perspective on their business through their data.
Salary: $90k–120K + bonus + benefits
Location: 100% remote for US-based candidates
Responsibilities:
- Candidate will complete data analytics and data science projects for clients
- Candidate will be a key leader in researching and helping the company learn about new technologies/skillsets that are not currently possessed by the firm
- Candidate will take Lead on client projects from start to finish – scoping, onboarding, delivering
- Candidate will train and develop new team members in both engagement process and data analytics skill sets when needed
Projects Include:
- Ad-hoc data analysis
- Deep data investigation
- Data visualization
- Data integration
- ETL Development
- Statistical modeling and machine learning
Qualifications:
- Bachelors Degree in Analytics, Economics, Mathematics, Computer Science or a related Field
- 3-5 Years of Relevant job experience
- SQL Required
- R or Python experience a plus
- Tableau, Power BI, or Looker all stars
- Looking for a self-starter that can work well autonomously and together with a team to figure out solutions for clients
- Ability to Lead other team members as a player coach, completing projects side-by-side and teaching junior team members best practices and techniques
- Ability to process data objectively and efficiently
- Intellectually curious about new data tools and data analytics/science strategies
- Familiarity across modern data stack including ETL (Stitch, Rivery, Fivetran, etc), Data warehouse (Big Query, Redshift, Snowflake, etc.) and Data Visualization (Tableau, Looker, Power BI, etc.)
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