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    Sr. BI Engineer – Tableau - Taguig, Philippines, Pilipinas - Eastvantage Business Solutions Inc.

    Default job background
    Buong oras Teknolohiya/Internet
    Paglalarawan


    About the role:

    The Sr. BI Engineer will use multiple languages and tools to support data discovery, analytics, modeling, reporting and visualization across large data sets. They will be expected to be comfortable with statistical inference, dashboard development, and SQL.
    ESSENTIAL DUTIES AND RESPONSIBILITIES:
    • Under limited supervision, be responsible for multiple analyses and deliverables, while monitoring, summarizing, communicating, and reporting status
    • Takes analysis and reporting tasks from original concept through final implementation. Develops all aspects of these tasks including a detailed plan, schedule, and distribution methodology.
    • Responsible for assembling necessary external stakeholders, including business owners, database stewards and application owners to ensure that appropriate resources and needs have been identified to achieve the analyses on the necessary timeline.
    • Able to work closely with data engineers, database owners, application owners and executive sponsors to ensure that development of new databases, reporting marts, and data infrastructure will support ongoing scaled analytics and reporting requirements
    • Responsible for creating, maintaining and deploying standard reporting using enterprise tools
    • Works closely with system engineers, database owners, application owners and executive sponsors to ensure that analytics and reporting requirements are met
    • Works closely with business and operations units to understand and meet reporting and information needs
    • Develops and contributes ideas and opinions about collecting relevant data, analyzing data, and developing presentations to present to management
    • Understands underlying business operations, data, data capture processes, and system integration to ensure that analyses and reports are correctly advising the organization, and accounts for data and/or workflow limitations
    • Produces analytics, dashboards and reports within the framework of the data/analytics processes and the Center of Excellence (CoE) including exploratory data analysis, descriptive analysis and statistics, and using statistical inference and predictive modeling techniques as appropriate
    • Gains understanding of client proprietary and enterprise systems. Aids in the enhancement of current systems and implementation of new systems for the company
    Position requirements:

    QUALIFICATIONS / EXPERIENCE:
    • Bachelor's Degree in a quantitative field such as engineering, computer science, statistics, mathematics, economics, business analytics or a relevant field of study or equivalent professional experience
    • Master's degree in analytics or a quantitative science is preferred
    • Minimum of five (5) years of analytics experience, with knowledge and experience in statistical inference, forecasting/predictive analytics, descriptive analytics, and data visualization
    • Significant experience with Tableau for report and dashboard creation, report and dashboard distribution, and administration
    • Significant experience in SSRS reporting and writing complex queries.
    • Database management and database structure experience
    • Programming experience with SQL, and R or Python
    • Detailed experience in data acquisition/queries for multiple database and file types, data cleaning, aggregation, and data quality assessment
    • Excellent computer skills (Excel, Word, PowerPoint, and Visio)
    • Superior communication skills - verbal, written, presentation and negotiation skills
    • Strong organizational and analytical skills
    • Patience and ability to excel under pressure, handling multiple requests often with tight deadlines
    • Resourcefulness, ingenuity, strong decision making and problem solving skills
    • Leadership, teamwork and the ability to develop others
    • Solution driven and flexible in interpersonal style
    • Willing to gain expertise in client data and the underlying business operations that produce such data
    • Healthcare experience preferred


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