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LTIMindtree

BI Engineer

LTIMindtree, Paramus, New Jersey, us, 07653


Strong understanding of business intelligence concepts , advanced data analysis techniques, data warehousing integration, transformation orchestration processes, and data visualization principles.Strong expertise in SQL

and experience with programming languages such as Python.Mastering various BI tools

including Power BI and/or Looker is essential.Proven experience

in the environment and water industries in which Veolia is the world leader, with a deep understanding of the unique data requirements and challenges in that sector.Demonstrated experience

in working in cross-functional teams, managing projects, and driving data-driven initiatives to successful completion.Good analytical problem-solving

and critical thinking skills, outstanding communication and presentation abilities, and a proven ability to work collaboratively in a team environment as well as independently.Key Responsibilities:

Data Analysis and Interpretation:

Analyze complex datasets, identify trends, patterns, and correlations, and turn raw data into meaningful and actionable insights to support business objectives and decision-making.Dashboard and Report Development:

Design, develop, and maintain dynamic BI dashboards and reports using tools such as Looker or Power BI to present data in a visually appealing and easy-to-understand manner for various stakeholders.Data Transformation:

Develop, implement, and maintain data transformation processes to consolidate data from various sources, ensuring data accuracy, consistency, and completeness across the organization's BI systems.Collaboration and Cross-Functional Support:

Collaborate with stakeholders across the organization, including business units, IT, and any data users, to understand their data needs and requirements and provide data-driven insights and recommendations to support their objectives.DBT SQL with any BI skill:

Strong communication, quick learner, hands-on engineer with 5 to 7 years of experience, and a willingness to learn from the VNA data team in terms of environment specifics.

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