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Mano Lani LLC

Mano Lani LLC

Senior Business Intelligence Analyst

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Fully RemoteData & AIseniorUnited States

Salary

$80k–$99k

Posted

13m ago

Work setup

Fully Remote

Business IntelligenceBusiness Intelligence AnalystReportingSenior BI AnalystSenior BI And Analytics Analyst

Overview

Job Title: Senior Business Intelligence AnalystLocation: Remote Mano Lani LLC is seeking a Senior Business Intelligence Analyst to support data analysis, reporting, and business intelligence activities. This position will work with multiple data sources to develop dashboards, reports, metrics, and analytical products that help leadership understand performance and make informed business decisions. The ideal candidate is comfortable working with large datasets, databases, reporting tools, and stakeholders who need complex information presented in a clear and useful way Key Responsibilities: • Analyze business, operational, real property, and related datasets.• Develop dashboards, reports, visualizations, scorecards, and performance metrics.• Combine and analyze information from multiple databases and systems.• Identify trends, discrepancies, data quality issues, and areas for improvement.• Develop queries and repeatable processes for data analysis and reporting.• Validate reports and ensure information is accurate and consistent.• Document data sources, calculations, business rules, and reporting processes.• Present findings and recommendations to management and project stakeholders.

Requirements

Required Qualifications • Bachelor’s degree in Business Analytics, Data Analytics, Information Systems, Computer Science, Statistics, or a related field.• Experience in business intelligence, reporting, or data analytics.• Experience working with relational databases and large datasets.• Experience developing dashboards, reports, and data visualizations.• Strong analytical and problem-solving skills.• Strong written and verbal communication skills.• Ability to meet applicable client access requirements. Preferred Qualifications • Experience using SQL and business intelligence or reporting tools.• Experience combining information from multiple business systems.• Familiarity with GIS or location-based data.• Experience supporting real property, facilities, or asset management programs.• Familiarity with Esri ArcGIS applications.• Experience working in a government or large enterprise environment. Benefits: Mano Lani LLC offers a comprehensive benefits package including a liberal vacation plan, a matching retirement program, and competitive salaries commensurate with skills and experience. For more information about our organization, please visit our web site at www.manolani.com. Physical Requirements:Work may involve sitting or standing for extended periods of time. Position may require typing and reading from a computer screen. Must have sufficient mobility, including but not limited to bending, reaching, and kneeling to complete daily duties in a timely and efficient manner. There is a possibility that due to parking availability and location of work, walking moderate to long distance may be required. Possible lifting up to 25 lbs. Please note: Mano Lani LLC reserves the right to change or modify job duties and assignments at any time. The above job description is not all encompassing. Positions functions and qualifications may vary depending on business needs. Mano Lani LLC is an equal opportunity employer and does not discriminate against applicants based on race, color, creed, religion, medical condition, legally protected genetic information, national origin, sex (including pregnancy, childbirth or related medical condition), sexual orientation, gender identity and expression, age, disability, or Vietnam era, or other eligible veteran status or legally protected characteristics.

Posted Salary Range

USD $80,000.00 - USD $99,000.00 /Yr.

Posted Salary Range

USD $80,000.00 - USD $99,000.00 /Yr.

Salary in context

This salary range is below the typical band for remote Data & AI roles at senior level — comparable roles on RemoteTide top out closer to $150k.

Before you apply

  • Confirm data stack maturity (warehouse, transformation, BI tooling)
  • Ask whether the role is analyst-leaning or ML/eng-leaning
  • Check data quality ownership — who owns the source-of-truth?

Interested in this role?

Apply on the original posting. No account required.

Listing via Himalayas

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