Data Analytics Engineer (Power BI) - REMOTE at Jobgether

, , India -

Full Time

Start Date

Immediate

Expiry Date

30 Mar, 26

Salary

0.0

Posted On

30 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Power BI, SQL, Python, DAX, M, Data Modeling, ETL, Data Integration, Performance Tuning, Cloud Data Services, Analytics Solutions, Dashboard Development, Stakeholder Engagement, Technical Guidance, Collaboration

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Analytics Engineer (Power BI). In this role, you will play a vital part in transforming complex data into actionable insights. Working on a remote basis, you will engage with stakeholders to translate business needs into high-performing technical implementations. This position offers the opportunity to develop and optimize analytics solutions, helping clients build robust analytics ecosystems in Power BI. Your contribution will not only enhance client satisfaction but also advance your skills in a dynamic work environment. \n Accountabilities Collaborate with stakeholders to understand business requirements and translate them into high-performing technical implementations. Enable clients on the Power BI Platform, assisting them in building an analytics ecosystem from the ground up. Implement best practices for scalable and governed analytics, helping clients build out their analytics centers of excellence. Design and develop interactive and visually appealing dashboards and reports for end-users using Power BI. Write clean, efficient, and scalable code (DAX, M, Python) to support complex data transformations. Conduct performance tuning and optimization of data analytics solutions for efficient processing. Stay updated with the latest trends and best practices in cloud data analytics and visualization tools. Collaborate with cross-functional teams to ensure seamless integration of data analytics solutions. Provide technical guidance and mentorship to junior team members. Requirements Bachelor's or Master's degree in Computer Science, Information Systems, or related field. Minimum of 5 years of experience as a Senior Data Analytics Engineer or similar role. Excellent technical proficiency in Power BI development; additional experience with analytics platforms like Looker is a plus. Familiarity with Google Cloud data services; experience with AWS or Azure will be considered. Strong proficiency in SQL. Experience working with clients across various industries to implement data solutions. Excellent programming skills in Python. Understanding of data modeling, ETL/ELT processes, and data integration techniques. Strong problem-solving skills and ability to execute technical solutions based on business needs. Excellent communication and collaboration skills. Benefits Flexible remote work environment. Opportunity to work with industry-leading clients and technologies. Professional development and mentorship opportunities. Competitive compensation. Dynamic and inclusive team culture. \n Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

Responsibilities

The Data Analytics Engineer will collaborate with stakeholders to translate business needs into technical implementations and enable clients on the Power BI platform. They will design and develop dashboards and reports while optimizing analytics solutions for efficiency.