Microsoft Power BI Technical Lead
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- India
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Job Description
Microsoft Power BI Technical Lead
Amberpet, Telangana
Job Summary
We are a team of nerds dedicated to collect other nerds that happen to be the best in their respective fields in the broadly understood IT service and analytics. Together, we create IT and Analytical Hubs that bring together the best experts from the IT world to help our partners become truly data-driven entities.
Currently, we are looking for a Data Scientist as we support our partner in developing a Global Analytics Unit—a global, centralized team with the ambition to strengthen data-driven decision-making and the development of smart data products for day-to-day operations. The team is designed to foster a data-driven entrepreneurial culture by acting as an incubator to turn ideas into action: creating smart data products across various business domains like sales, marketing, purchasing, logistics, and beyond.
The team has the autonomy to shape their approach, especially in terms of tools, technology, and introducing new concepts and solutions.
Data Scientist
We are searching for a Data Scientist to join our team of top-tier specialists, responsible for applying their expertise in machine learning, data mining, and information retrieval to design, prototype, and build next-generation analytics engines and services.
If you want to:
• Take part in developing and implementing complex smart data solutions.
• Work on bleeding-edge projects with a chance to see your visions come to life.
• Collaborate with world-class IT professionals.
• Work on projects addressing real business challenges in a global and diverse team.
• Have real impact on the projects and environment you work in.
• Propose innovative solutions and initiatives.
Moreover, if you like:
• Flexible working hours and a casual, non-corporate environment.
• Access to benefits such as Multisport, private medical care, and a modern office in the center of Warsaw with good transport links.
• Remote work options as much as you prefer.
• A relaxed atmosphere at work where your passion and commitment are appreciated.
• Vast opportunities for self-development through online courses, certifications, and global knowledge-sharing.
Then this role is certainly a good match!
Key Responsibilities
Your Responsibilities:
• Understanding business problems and designing smart data products.
• Developing complex models and algorithms to drive innovation within the organization.
• Conducting advanced statistical analysis to provide actionable insights, identify trends, and measure performance.
• Collaborating with data engineers to implement and deploy scalable solutions.
• Working closely with business teams to clarify ambiguous projects into concrete requirements.
• Designing and implementing time-series forecasting, anomaly detection, and demand-sensing solutions for business domains such as sales, marketing, pricing, supply chain, and logistics.
• Partnering with software and full-stack engineering teams to expose models through APIs, dashboards, and scalable user-facing applications that support day-to-day business decisions.
Skill Requirements
We are a team of nerds dedicated to collect other nerds that happen to be the best in their respective fields in the broadly understood IT service and analytics. Together, we create IT and Analytical Hubs that bring together the best experts from the IT world to help our partners become truly data-driven entities.
Currently, we are looking for a Data Scientist as we support our partner in developing a Global Analytics Unit—a global, centralized team with the ambition to strengthen data-driven decision-making and the development of smart data products for day-to-day operations. The team is designed to foster a data-driven entrepreneurial culture by acting as an incubator to turn ideas into action: creating smart data products across various business domains like sales, marketing, purchasing, logistics, and beyond.
The team has the autonomy to shape their approach, especially in terms of tools, technology, and introducing new concepts and solutions.
Data Scientist
We are searching for a Data Scientist to join our team of top-tier specialists, responsible for applying their expertise in machine learning, data mining, and information retrieval to design, prototype, and build next-generation analytics engines and services.
If you want to:
• Take part in developing and implementing complex smart data solutions.
• Work on bleeding-edge projects with a chance to see your visions come to life.
• Collaborate with world-class IT professionals.
• Work on projects addressing real business challenges in a global and diverse team.
• Have real impact on the projects and environment you work in.
• Propose innovative solutions and initiatives.
Moreover, if you like:
• Flexible working hours and a casual, non-corporate environment.
• Access to benefits such as Multisport, private medical care, and a modern office in the center of Warsaw with good transport links.
• Remote work options as much as you prefer.
• A relaxed atmosphere at work where your passion and commitment are appreciated.
• Vast opportunities for self-development through online courses, certifications, and global knowledge-sharing.
Then this role is certainly a good match!
Other Requirements
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Information at a Glance
Why HCLTech?
At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.
HCLTech is a global technology company, home to more than 230,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2026 totaled $14.8 billion.
