Business Intelligence Engineer , WW Ops Finance S&A

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Mental health support

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Relocation assistance

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

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About this role

Business Intelligence Engineer , WW Ops Finance S&A Bengaluru, Karnataka, IND The World Wide OPS Finance S&A (Standardize & Automate) team is looking for a customer focused, analytically and technically skilled Business Intelligence Engineer (BIE) to join the team. The role will require an end-to-end understanding of data and reporting; this role requires an individual with excellent analytical abilities as well as good business acumen. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and enjoying working with large data sets. The successful candidate will be also an expert on creating advanced dashboards, connecting data sources through APIs, expert SQL skills and also passionate about presenting data in a very nice and easy-to-digest way. Key job responsibilities - Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. - Ensure data accuracy by validating data for new and existing tools. - Combine knowledge of statistical methodology and analysis with programming skills to support complex analyses. - Collaborate on the design, development, maintenance, and delivery/presentation of metrics, reports, analyses, tools, and dashboards. - Respond to a variety of on-demand ad-hoc analytical requests as needed. - Implement training and documentation solutions that enable business stakeholders to get the most out of our self-serve reporting tools. Basic Qualifications: - Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field - Experience in data mining, ETL, etc. and using databases in a business environment with

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