Sr Data Analytics Engineer

Job Requirements

Quest Global is an organization at the forefront of innovation and one of the world’s fastest

growing engineering services firms with deep domain knowledge and recognized expertise in the

top OEMs across seven industries. We are a twenty-five-year-old company on a journey to

becoming a centenary one, driven by aspiration, hunger and humility.

We are looking for humble geniuses, who believe that engineering has the potential to make the

impossible, possible; innovators, who are not only inspired by technology and innovation, but also

perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers.

As a team of remarkably diverse engineers, we recognize that what we are really engineering is a

brighter future for us all. If you want to contribute to meaningful work and be part of an

organization that truly believes when you win, we all win, and when you fail, we all learn, then

we’re eager to hear from you.

The achievers and courageous challenge-crushers we seek, have the following characteristics and

Skills

Roles & Responsibilities:

• Collaborate with business stakeholders to gather and translate data requirements into
  
  

analytical solutions.

• Analyze large and complex datasets to identify trends, patterns, and actionable insights.
• Design, develop, and maintain interactive dashboards and reports using
  
  

Elasticsearch/Kibana or Power BI.

• Conduct ad-hoc analyses and deliver data-driven narratives to support business decision-
  
  

making.

• Ensure data accuracy, consistency, and integrity through rigorous validation and quality
  
  

checks.

• Write and optimize SQL queries, views, and data models for reporting and analysis.
• Present findings through compelling visualizations, presentations, and written summaries.
• Work closely with data engineers and architects to enhance data pipelines and
  
  

infrastructure.

• Contribute to the development and standardization of KPIs, metrics, and data governance
  
  

practices

Work Experience

Required Skills (Technical Competency):

• Bachelor’s or master’s degree in data science, Computer Science, Statistics, or a related
  
  

field.

• 5+ years of experience in a data analyst or business intelligence role.
• Proficiency in SQL and data visualization tools such as Power BI, Kibana, or similar.
• Proficiency in Python, Excel and data storytelling.
• Understanding of data modelling, ETL concepts, and basic data architecture.
• Strong analytical thinking and problem-solving skills.
• Excellent communication and stakeholder management skills
• To adhere to the Information Security Management policies and procedures.
  
  

Desired Skills

Elasticsearch/Kibana, Power BI, AWS, Python, SQL, Data modelling, Data analysis,

Data quality checks, Data validation, Data visualization, Stakeholder communication, Excel, Data

storytelling, Team collaboration, Problem-solving, Analytical thinking, Presentation skills, ETL

concepts.