NUVIEW

Senior Data Analyst

Posted 2 Days Ago

Hiring Remotely in Denver, CO

Remote

Mid level

Information Technology

The Role

The Senior Data Analyst will lead data analytics and science projects for clients, from scoping to delivery. Responsibilities include training team members, conducting ad-hoc analyses, deep investigations, and data visualizations, alongside developing ETL processes and statistical models.

Summary Generated by Built In

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.)