Data Analyst

Must haves:

3 or more years’ experience executing data analysis with corporate clients or within a corporation
SQL Development experience with an Oracle database
Some experience executing clustering and/or feature importance analysis in Python
Strong attention to detail and quality

Responsibilities:

Able to independently translate English language questions and hypotheses into logical data models and business logic using available data (& data dictionary).
Able to create materialized views from an Oracle Database using SQL by joining tables and applying hypothesis-driven business logic with effective quality control (checking for dropped records, that # of records make sense, that calculated outputs are reasonable considering other similar reporting in production)
Some experience with data science techniques including clustering and feature importance analysis to mine data for relevant and credible insights in response to business questions.
3 or more years’ experience executing data analysis with corporate clients or within a corporation
Effectively combines data science techniques including clustering and feature importance analysis with domain expertise (can be established during the contract through active listening) to mine data for insights in response to business questions. Execute analytical experiments methodically while outputting reproducible research.
Domain expertise and experience with data describing people and people-related events in a corporate context, including but not limited to HR/Workday, Talent Acquisition/Taleo
Degree in a quantitative field such as Statistics, Engineering, Operations Research, Computer Science or Economics.
Comfort inferring likely data definitions based on comparisons to other fields and critical thinking (e.g. if a field name is not as expected but sample records have an identifiable pattern that is expected and the field joins well with a field in another table that is named as expected, probably the field with the unexpected name bears some relationship to the field with the expected name)
Experience modeling data in Tableau