Senior Consultant - ETL Job

Overview

Job Description

Job Title

Senior Data Analyst Consultant

Job Code

Grade

I-4

Direct Reporting Relationships

Reports to:

• Manager
  
  

Supervises (Job Title):

• N/A
  
  

Division

Department

Section

NA

Unit

NA

ROLE PURPOSE

The aim is to state the overall significance of the job from the organization’s perspective.

To lead and guide data analysis initiatives & various projects, and to provide solutions by data collection, advanced modeling, interpretation, and visualization to offer strategic insights, support data-driven decision-making, and contribute to operational efficiency and organizational success.

Key Accountabilities & Activities

This section describes the principal outputs required from the job.

Key Accountabilities

Key Activities

• Data Analysis
• Employ advanced statistical methods to identify patterns and trends in data, providing actionable insights.
• Apply machine learning algorithms to predict future outcomes and support data-driven decision-making.
• Data Modeling
• Develop and fine-tune predictive models, such as regression or clustering, to uncover hidden patterns and relationships within data.
• Utilize machine learning algorithms like decision trees and neural networks for in-depth analysis and forecasting.
• Data Visualization
• Create visually compelling and interactive data dashboards using tools like Tableau or Power BI for effective communication.
• Utilize data visualization best practices to convey complex insights in a clear and easily understandable manner.
• Data Integration
• Seamlessly integrate data from heterogeneous sources to construct a unified, comprehensive dataset.
• Provide in-depth data interpretation, translating findings into strategic guidance and recommendations.
• Quality Assurance
• Establish rigorous quality control measures to validate data accuracy and identify potential errors.
• Implement data validation techniques to ensure the reliability of analytical outcomes.
• Reporting & Dashboards
• Generate comprehensive reports that not only summarize data findings but also offer actionable recommendations.
• Design interactive dashboards that allow stakeholders to explore data and make informed decisions.
• Translating complex data findings into business solutions that align with client objectives
  
  

KEY INTERACTIONS

Key Internal Interaction

Nature of Interaction

Business Stakeholders

• Collaborating with business executives and department heads to understand their data needs.
• Provide data-driven insights to senior management and leadership teams to support strategic decision-making and planning.
• Work closely with stakeholders to clarify and refine data requirements, ensuring that the analysis aligns with business goals.
  
  

IT Teams

• Engage with the IT department to access and manage data, resolve technical issues, and ensure data security and compliance.
• Collaborate with data analysts, data scientists, and other team members on data analysis projects, sharing insights and coordinating tasks.
  
  

End-Users

• Communicating with end-users to gather feedback on data reports and visualization.
• Interact with junior data analysts to provide mentorship, training, and guidance for skill development.
  
  

Key External Interaction

Nature of Interaction

Data Vendors

• Interacting with external vendors to acquire relevant external data sources.
  
  

Clients & Regulatory Authorities

• Engage with clients to understand their data requirements, present data findings, and offer tailored data solutions. Maintain a strong client relationship to ensure client satisfaction.
• Ensuring compliance with data regulatory bodies.
  
  

COMPETENCIES

Description

Level

Data Analysis & Visualization

• Analyze & derive insights from complex datasets.
• Using data visualization represent data in a meaningful manner.
• Alteryx, Python,& similar.
  
  

Senior Level

BI Tools

• SSIS, SSRS, SSAS, Informatica or Talend
• Business Intelligence tools like Tableau, Power BI, QlikView, or similar.
• Sql DB Scriptitig & Python coding.
  
  

Senior Level

JOB SPECIFICATIONS

Academic And Professional Qualifications

• Bachelor's Degree
• Master's Degree (Optional but good to have)
• Certified Business Intelligence Professional (CBIP) (Optional)
  
  

Years and Nature of Experience

• 8 to 10+ Years
• Senior Level
  
  

VERSION TRACKING

Prepared by:

Kamran Ahmed

First review by:

Approved by:

Name

Signature

Date