Senior Consultant - ETL Job

Elm Company; Saudi Arabia; On-site; SAR 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Senior Data Analyst Consultant to lead data analysis initiatives and provide strategic insights. This role involves employing advanced statistical methods and machine learning algorithms to drive data-driven decision-making. The ideal candidate will create visually compelling dashboards using tools like Tableau and Power BI, ensuring effective communication of complex data insights. With a focus on operational efficiency, this position offers a unique opportunity to significantly impact the organization's success through data integration and quality assurance. Join a forward-thinking company that values innovation and collaboration.

Qualifications

• 8-10 years of experience in data analysis and visualization.
• Strong proficiency in machine learning algorithms and data modeling.

Responsibilities

• Lead data analysis initiatives and provide strategic insights.
• Develop predictive models and create interactive dashboards.

Skills

Data Analysis

Machine Learning

Data Visualization

Predictive Modeling

Statistical Methods

Education

Bachelor's Degree

Master's Degree

Tools

Tableau

Power BI

Python

SSIS

Informatica

Job description

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