17 Bi Administration Jobs

BI Admin with 4+ yrs experience, 2+ yrs in PowerBI. Skilled in Tableau Cloud, QlikView, SQL, ETL, and data modeling. Ensures secure, high-performance BI environments with strong user support and problem-solving.

BI Admin with 4+ yrs experience, 2+ yrs in PowerBI. Skilled in Tableau Cloud, QlikView, SQL, ETL, and data modeling. Ensures secure, high-performance BI environments with strong user support and problem-solving.

BI Admin with 4+ yrs experience, 2+ yrs in PowerBI. Skilled in Tableau Cloud, QlikView, SQL, ETL, and data modeling. Ensures secure, high-performance BI environments with strong user support and problem-solving.

BI Admin with 4+ yrs experience, 2+ yrs in PowerBI. Skilled in Tableau Cloud, QlikView, SQL, ETL, and data modeling. Ensures secure, high-performance BI environments with strong user support and problem-solving.

BI Admin with 4+ yrs experience, 2+ yrs in PowerBI. Skilled in Tableau Cloud, QlikView, SQL, ETL, and data modeling. Ensures secure, high-performance BI environments with strong user support and problem-solving.

BI Admin with 4+ yrs experience, 2+ yrs in PowerBI. Skilled in Tableau Cloud, QlikView, SQL, ETL, and data modeling. Ensures secure, high-performance BI environments with strong user support and problem-solving.

BI Admin with 4+ yrs experience, 2+ yrs in PowerBI. Skilled in Tableau Cloud, QlikView, SQL, ETL, and data modeling. Ensures secure, high-performance BI environments with strong user support and problem-solving.

BI Admin with 4+ yrs experience, 2+ yrs in PowerBI. Skilled in Tableau Cloud, QlikView, SQL, ETL, and data modeling. Ensures secure, high-performance BI environments with strong user support and problem-solving.

BI Admin with 4+ yrs experience, 2+ yrs in PowerBI. Skilled in Tableau Cloud, QlikView, SQL, ETL, and data modeling. Ensures secure, high-performance BI environments with strong user support and problem-solving.

BI Admin with 4+ yrs experience, 2+ yrs in PowerBI. Skilled in Tableau Cloud, QlikView, SQL, ETL, and data modeling. Ensures secure, high-performance BI environments with strong user support and problem-solving.

BI Admin with 4+ yrs experience, 2+ yrs in PowerBI. Skilled in Tableau Cloud, QlikView, SQL, ETL, and data modeling. Ensures secure, high-performance BI environments with strong user support and problem-solving.

BI Admin with 4+ yrs experience, 2+ yrs in PowerBI. Skilled in Tableau Cloud, QlikView, SQL, ETL, and data modeling. Ensures secure, high-performance BI environments with strong user support and problem-solving.

BI Admin with 4+ yrs experience, 2+ yrs in PowerBI. Skilled in Tableau Cloud, QlikView, SQL, ETL, and data modeling. Ensures secure, high-performance BI environments with strong user support and problem-solving.

Responsibilities: Administer and manage Power BI (PBI) environments with strong capabilities or the ability to become a PBI expert Develop and maintain operations reporting tools, including usage reports, model reports, and other relevant documentation. Collaborate with the VIP team to ensure seamless platform operations and address any issues that arise. Implement and manage DevOps practices for Databricks, ensuring efficient and reliable data processing workflows. Monitor platform performance and provide recommendations for improvements. Automate and streamline operations and processes. Work with cross-functional teams to ensure alignment on platform administration and DevOps practices. Troubleshoot and resolve platform-related issues in a timely manner. Requirements: Bachelors degree in computer science, Information Technology, or a related field. Minimum of 3 years of experience in platform administration and DevOps development. Primary Skill - Strong experience with Power BI (PBI) administration and management with good communication skills. Proficiency in building operations reporting tools, such as usage reports and model reports. Experience with Databricks and implementing DevOps practices. PowerApps experience is a good to have. Familiarity with other data analytics and visualization tools. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of scripting languages such as Python or Bash. Understanding of CI/CD pipelines and automation tools. Experience in the Life Sciences or Pharmaceuticals industry is a plus but not required

Responsibilities: Administer and manage Power BI (PBI) environments with strong capabilities or the ability to become a PBI expert Develop and maintain operations reporting tools, including usage reports, model reports, and other relevant documentation. Collaborate with the VIP team to ensure seamless platform operations and address any issues that arise. Implement and manage DevOps practices for Databricks, ensuring efficient and reliable data processing workflows. Monitor platform performance and provide recommendations for improvements. Automate and streamline operations and processes. Work with cross-functional teams to ensure alignment on platform administration and DevOps practices. Troubleshoot and resolve platform-related issues in a timely manner. Requirements: Bachelors degree in computer science, Information Technology, or a related field. Minimum of 3 years of experience in platform administration and DevOps development. Primary Skill - Strong experience with Power BI (PBI) administration and management with good communication skills. Proficiency in building operations reporting tools, such as usage reports and model reports. Experience with Databricks and implementing DevOps practices. PowerApps experience is a good to have. Familiarity with other data analytics and visualization tools. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of scripting languages such as Python or Bash. Understanding of CI/CD pipelines and automation tools. Experience in the Life Sciences or Pharmaceuticals industry is a plus but not required

You will be responsible for developing and maintaining reporting tools, particularly Looker, as the Reporting Engineer. Having knowledge of Looker is advantageous for this role. You will serve as the technical expert, engaging in day-to-day development alongside support engineers. Collaborating with various stakeholders such as data analysts, data scientists, product managers, and business stakeholders is essential to design the overall instance architecture efficiently, minimizing duplicate work, optimizing speed, and ensuring a clear, streamlined end-user experience. Your role will involve ensuring the delivery of reliable software and data pipelines using data engineering best practices, including secure automation, version control, continuous integration/delivery, and proper testing. A strong commitment to teamwork, as well as excellent business and interpersonal skills, will be key in this position. As an integral part of the growing data engineering and analytics team, you will be responsible for shaping the technological and architectural vision. The ideal candidate for this position should have a minimum of 3 years of practical experience in data reporting and engineering for business intelligence platforms, with a focus on Looker. A bachelor's degree in computer science, data science, engineering, physical sciences, or a related field is required. Proficiency in SQL and experience with distributed source control systems like GIT in an Agile-Scrum environment are essential. Familiarity with LookML and Python is advantageous. Furthermore, experience in BI administration tasks such as cloud setup, instance setup and upgrading, backup creation, and disaster recovery is desirable. A strong understanding of dimensional modeling and data warehousing methodologies is expected. You should excel in identifying root-cause issues related to data discrepancies and be able to optimize SQL queries to minimize processing time required for generating insights. Staying updated with the latest data trends and simplifying data insights should be a priority. If you have a passion for data and the valuable insights that large datasets can offer, this role is an excellent opportunity for you. Experience in retail analytics would be a plus.,

The role of Reporting Engineer - MSTR based in Pune on a contract basis involves the development and maintenance of reporting tools, primarily focusing on MicroStrategy. Familiarity with Looker is considered advantageous. As a technical expert, you will engage in day-to-day development activities alongside support engineers. Your responsibilities will include assisting in designing the overall instance architecture to enhance efficiency, reduce redundant work, and ensure a seamless end-user experience. Collaboration with various stakeholders such as data analysts, data scientists, product managers, and business representatives is essential. Ensuring the delivery of reliable software and data pipelines utilizing best practices in data engineering, including secure automation, version control, continuous integration/delivery, and thorough testing, is a key aspect of the role. Strong teamwork skills, as well as effective business and interpersonal abilities, are crucial requirements. As an integral part of the expanding data engineering and analytics team, you will play a pivotal role in shaping our technological and architectural direction. The ideal candidate for this position should possess a minimum of 3 years of practical experience in data reporting and engineering within business intelligence platforms, particularly in MicroStrategy. A bachelor's degree in computer science, data science, engineering, physical sciences, or a related field is expected. Proficiency in SQL and distributed source control systems like GIT in an Agile-Scrum environment is required. Experience with LookML and Python is a bonus. Familiarity with BI administration tasks such as cloud setup, instance configuration and updates, backup management, and disaster recovery is preferred. A solid understanding of dimensional modeling and data warehousing methodologies is essential. The ability to identify root-cause issues related to data discrepancies and optimize SQL queries directly or through BI-tool generation to enhance processing efficiency for insights is necessary. Keeping abreast of the latest data trends and seeking ways to simplify data insights is encouraged. A genuine passion for data and the valuable insights that extensive datasets can offer is highly valued. Prior experience in retail analytics is considered advantageous.,