27773
Role Proficiency
Independently drive data analysis, streamline business processes, and manage a team of analysts. Provide technical expertise in data management, mining, modeling, and reporting.
Key Outcomes
- Design and manage reporting environments, including data sources, security, and metadata.
- Provide expertise in data storage, mining, and cleansing.
- Support data warehouse initiatives and reporting requirements.
- Ensure data integrity, normalization, and consistency.
- Conduct analysis, synthesize insights, and generate reports from multiple systems.
- Develop dashboards and data visualizations for decision-making.
- Translate business requirements into executable steps for the team.
- Review and validate deliverables before client submission.
- Train end users on new reports and dashboards.
- Set and review FAST goals for the team.
Performance Measures
- Quality and accuracy of code, models, and reports.
- Number of BI dashboards developed.
- Process improvements driven by analysis.
- Timely delivery and stakeholder satisfaction.
- Reduction of defects/errors in deliverables.
- Completion of compliance and mandatory trainings.
Responsibilities
Data Management & Strategy
- Define data needs with business stakeholders.
- Manage analysts activities and ensure efficiency.
- Troubleshoot reporting environments and resolve issues.
Analytics & Modeling
- Build statistical and predictive models; validate and improve performance.
- Perform prescriptive analytics to recommend business actions.
- Execute SQL/Python code for data manipulation and analysis.
Reporting & Visualization
- Generate business reports and dashboards (Tableau, Power BI, Qlik).
- Present findings graphically and in written form.
- Communicate insights to stakeholders and recommend actions.
Knowledge & Documentation
- Maintain documentation of code, models, and processes.
- Review team documentation and ensure knowledge sharing.
- Use version control tools (Git, Bitbucket) for code management.
Team & Client Interaction
- Guide team members, review outputs, and ensure quality.
- Facilitate meetings, present findings, and support decision-making.
- Gather client feedback and adapt solutions accordingly.
Required Skills & Experience
- 8+ years of Python development (minimum 5 years professional).
- Strong experience with Flask or similar frameworks.
- Expertise in relational databases (PostgreSQL, MySQL).
- Experience with machine learning models (TensorFlow, Keras, scikit-learn preferred).
- Proficiency in SQL, R, SAS, MATLAB, and analytical tools.
- Knowledge of data visualization tools (Tableau, Qlik, Power BI).
- Familiarity with version control (Git).
- Strong communication, presentation, and problem-solving skills.
Nice to Have
- Experience integrating ML models into applications.
- Proficiency in front-end technologies (HTML, CSS, JavaScript).
- Exposure to scalable data systems and advanced analytics.
Core Skills: Python, Flask, PostgreSQL, Machine Learning Models
Skills: data,models,reporting,code,dashboards,analytics,documentation,management,python,skills
