Position Description
Every day, thousands of professionals use WorkMarket, an ADP Company, to support the on-demand needs of large organizations. With the Freelance economy expanding at an ever-faster pace, its propulsion has influenced the traditional means of how work gets done. Understanding the impact this groundswell is having on the modern-day economy requires synthesizing data...lots and lots of data. Consequently, we produce iceberg-sized data and -- if you'll excuse the metaphor -- we're only at the tip of analyzing it all.
In this role, you'll work with the Head of Data & Analytics and in collaboration across all corporate functions, to build dashboards, reporting tools, ad-hoc queries, and detailed analysis. This includes adapting our data warehouse and reporting tools to match our fast-paced business needs. Further, you will help shape how our teams and user base consume data on a real-time basis.
Responsibilities include:
- Developing data models to capture and report on KPIs
- Building dashboards and tools to support our internal teams
- Exploring our data to uncover meaningful insights in changes to help drive company growth
- Contextualizing data for a variety of audiences, internally and externally
- A myriad of data projects as needs arise
Qualifications
- 2+ years of experience as a Data Analyst
- Experience with BI tools (Looker, Tableau, et al)
- Demonstrated interest in exploring data and extracting valuable insights
- Proven analytical, problem-solving, and troubleshooting expertise
- Proficiency in SQL, preferably across a number of dialects (we commonly write MySQL, PostgreSQL, and Redshift)
- Ability to learn and assimilate technical information quickly
Bonus points for
- Extensive Looker experience
- Experience with version control and shell commands (git, github, SSH, *nix, etc.)
- Python for Data Analysis (pandas, scikit-learn, etc.)
- Database/query performance optimization
- Comfort with the AWS ecosystem (EC2, S3, RDS, Redshift, et al)
- Experience with data warehousing (Stars and Snowflakes!)
- Knowledge of SaaS-based business
- Enterprise-grade data and systems knowledge
- Tolerance for the occasional data cleansing
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