Data Analyst
Job Description:
- Experience effectively translating between business value, requirements, and technical solutions
- Demonstrated ability to take real world analytics/data science projects from start to finish- including data cleaning, descriptive analysis, predictive modeling, and visualizations
- Experience in extracting, cleaning, and aggregating from different data sources
- Knowledge of statistical modeling techniques, machine learning and time series forecasting
- Advanced knowledge of either Python or R with respect to their data analytical stacks
- Comfortable with using SQL to extract and transform data. Advanced knowledge of querying SQL databases and writing stored procedures is a big plus
- Experience with creating and deploying dashboards and custom visualizations
- Familiarity with one of R Shiny or Plotly Dash
- Experience with Django combined with front end framework like React is a plus
- Bachelor's degree or higher in Analytics/Statistics/Data Science or related subjects
- Strong working knowledge of utilizing standard MW+S Office tools (Excel, Word, and Power Point)
- Ability to multi-task and adjust priorities based on workload and direction from management
- Self-motivated to document process’ and teach others
- Candidates that do not have all the above are still strongly encouraged to apply
You’ll need to submit along with your resume:
- A paragraph summarizing one of their data science projects- the challenges they faced and how they overcame it
- Provide link to their GitHub profiles or portfolio