Role Proficiency:
Develop data-driven solutions for difficult business challenges.
Utilizing analytical statistical and programming skills to collect analyze and interpret large data sets with supervision.
Outcomes:
- Work with stakeholders throughout the organization to identify opportunities for leveraging data from our customers to create models that can generate business insights
- Build predictive models and machine learning algorithms to analyse large amounts of information to discover trends and patterns.
- Mine and analyse data from company databases to drive optimization and improvement of product development marketing techniques business strategies etc
- Develop processes and tools to monitor and analyse model performance and data accuracy.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Set FAST goals and provide feedback on FAST goals of reportees
Measures of Outcomes:
- Number of business processes changed due to vital analysis.
- Models applied to Business Problems
- Number of Business Intelligent Dashboards developed
- Number of productivity standards defined for project
- Number of mandatory trainings completed
Outputs Expected:
Statistical Techniques:
Machine Learning Techniques:
Creating advanced algorithms:
- Create advanced algorithms and statistics using regression simulation scenario analysis modelling etc.
Data Visualization:
- Visualize and present data for stakeholders using: Periscope Business Objects D3 ggplot etc.
Management and Strategy:
- Oversee the activities of analyst personnel and ensures the efficient execution of their duties.
Critical business insights:
- Mines the business's database in search of critical business insights and communicates findings to relevant departments.
Code:
- Create efficient and reusable code meant for the improvement manipulation and analysis of data.
Version Control:
- Manages project codebase through version control tools e.g.
git bitbucket etc.
Prescriptive analytics:
- Attempts to identify what business course of action to make
Create Reports:
- Creates reports depicting the trends and behaviours from the analysed data
- Train end users on new reports and dashboards.
Document:
- Create documentation for personal work as well as performing a peer review of documentation of others' work
Manage knowledge:
- Consume and contribute to project related documents share point libraries and client universities
Status Reporting:
- Report status of tasks assigned
- Comply with project related reporting standards and process
Skill Examples:
- Excellent pattern recognition and predictive modelling skills
- Extensive background in data mining and statistical analysis
- Expertise in machine learning techniques and creating algorithms.
- Analytical Skills: Ability to work with large amounts of data: facts figures and number crunching.
- Communication Skills: Communicate effectively with a diverse population at various organization levels with the right level of detail.
- Critical Thinking: Data Analysts must look at numbers trends and data and come up with new conclusions based on the findings.
- Attention to Detail: Making sure to be vigilant in the analysis to come to correct conclusions.
- Mathematical Skills to estimate numerical data.
- Work in a team environment
- Proactively ask for and offer help
Knowledge Examples:
Additional Comments:
None