Summary
Rihal is seeking a Senior Data Analytics Engineer in Oman to design and optimize analytics and business intelligence solutions. The role includes building Power BI dashboards, developing ETL processes, conducting analysis, and creating predictive and prescriptive models. The engineer will collaborate with data and machine learning teams, communicate insights to business stakeholders, document technical work, and mentor team members. Applicants need a bachelor’s or master’s degree in a related field, at least five years of data-related experience, and strong Power BI, SSRS, SQL, and Python skills.
The posting
As published on rihal.om. Pulled from the employer's site and shown as they wrote it.
Job Purpose:
The Senior Analytics Engineer will be responsible for designing, developing, and optimizing advanced analytical solutions that meet business needs. This role focuses on delivering high-quality data analytics and business intelligence solutions, including advanced data modeling, end-to-end dashboard creation, deep dive analytics, predictive modeling, and prescriptive modeling. The Senior Analytics Engineer will work closely with cross-functional teams to translate business requirements into scalable analytical solutions and contribute to continuous improvement in data practices and processes.
Duties & Responsibilities:
- Design and implement robust advanced analytical and business intelligence solutions using Power BI
- Develop scalable and efficient ETL processes and frameworks using both open-source and proprietary technologies such as SSRS
- Collaborate with cross-functional teams, including data engineering and machine learning engineers, to define business requirements and translate them into actionable analytical solutions
- Conduct deep dive analysis and deliver insights that support data-driven decision-making
- Develop predictive and prescriptive models to support strategic initiatives
- Continuously evaluate and recommend new tools and technologies to enhance analytics capabilities
- Document processes, methodologies, and technical designs for knowledge sharing and future reference
- Communicate complex analytical concepts and results effectively to non technical stakeholders
- Support and contribute to the evolution of best practices in data analytics and business intelligence
- Provide career management and mentorship to team members, including goal-setting, performance feedback, and professional development support
Qualifications & Experience:
- Bachelor’s or master’s degree in computer science, data science, mathematics or a related field
- 5+ years of experience in data related.
- Extensive experience with Power BI and SSRS
- Strong proficiency in SQL, Python, and other programming languages
- Excellent problem-solving skills and attention to detail
- Strong communication and interpersonal skills
- Ability to work in a fast-paced and dynamic environment
Bonus to have:
- Extensive experience with data warehousing solutions, ETL processes, and big data technologies
- Hands-on experience with cloud data platforms (e.g., AWS, Google Cloud, Azure)
- Experience managing multi-functional data teams