Emoneyadvisor Review

Business Intelligence Analyst

Remote, United States

Sponsorship not specified$80k-$100kDetected 26 days ago

PythonSQLSnowflakeData EngineeringData ScienceData VisualizationStatisticsA/B TestingCollaborationProblem SolvingPlain Language

About the role

The Business Intelligence Analyst plays a key role in supporting data-informed decisions across eMoney by transforming raw data into meaningful insights.
The B usiness Intelligence Analyst defines KPIs, contributes to data governance, and ensures data integrity across systems.
Analyze and interpret structured and unstructured data from multiple sources to uncover trends, patterns, and opportunities.

This role translate s business questions into analytical solutions and support s the advancement of eMoney's enterprise data ecosystem.
Job Responsibilities Own medium-complexity analytics projects from requirements gathering through delivery, working with stakeholders to define objectives and success metrics.
Translate business logic into technical specifications and implement calculations, KPIs, and rules in analytics environments.
Collaborate with data engineers and developers to ensure data flows, structures, and integrations meet analytical requirements.
Partner with operational and cross-functional teams to identify opportunities to optimize processes, improve client experience, and increase revenue.
Present findings to diverse audiences, using visual storytelling and plain-language explanations to drive alignment and action.
This role goes beyond foundational analysis by independently managing analytics projects, developing dashboards, implementing business logic, and partnering closely with business units to solve complex problems.
Design and develop reports and dashboards using BI tools (e.g., Power BI, Looker), aligning outputs with stakeholder needs and business goals.
Conduct exploratory analysis and hypothesis testing to validate assumptions and guide business decisions.

Working knowledge of data modeling concepts (e.g., star schema, snowflake, normalization).
Familiarity with data pipeline/ETL processes and collaboration with data engineering teams.
Hands-on experience with data visualization and reporting tools (e.g., Power BI, Looker, Tableau).
Ability to clearly communicate findings and translate technical insights into business recommendations for both technical and non-technical audiences.
Experience contributing to data governance, including data quality practices, definitions, and metadata maintenance.

Exposure to Python or other scripting languages for analysis or automation is a plus.

Strong attention to detail Strong analytical and problem-solving skills to interpret data and draw meaningful conclusions.
commensurate salary to be determined based on skills, professional background and expertise.

The salary range for this position is $80,000 - $100,000; commensurate salary to be determined based on skills, professional background and expertise.

This listing is sourced directly from Emoneyadvisor Review's careers page and normalized into a canonical job model.