Note: The job is a remote job and is open to candidates in USA. eMoney Advisor is a company focused on supporting data-informed decisions, and they are seeking a Business Intelligence Analyst. This role involves transforming raw data into insights, managing analytics projects, and collaborating with various business units to enhance data governance and integrity.
Responsibilities
- Own medium-complexity analytics projects from requirements gathering through delivery, working with stakeholders to define objectives and success metrics
- Analyze and interpret structured and unstructured data from multiple sources to uncover trends, patterns, and opportunities
- Design and develop reports and dashboards using BI tools (e.g., Power BI, Looker), aligning outputs with stakeholder needs and business goals
- Translate business logic into technical specifications and implement calculations, KPIs, and rules in analytics environments
- Conduct exploratory analysis and hypothesis testing to validate assumptions and guide business decisions
- Collaborate with data engineers and developers to ensure data flows, structures, and integrations meet analytical requirements
- Contribute to data governance efforts by creating, maintaining, and enforcing data definitions, metadata, and lineage documentation
- Apply data quality and validation techniques to improve trust in data across the organization
- Partner with operational and cross-functional teams to identify opportunities to optimize processes, improve client experience, and increase revenue
- Utilize basic data modeling techniques (e.g., star/snowflake schema) and assist in the development of data pipelines and ETL workflows
- Present findings to diverse audiences, using visual storytelling and plain-language explanations to drive alignment and action
Skills
- Bachelor's degree in a quantitative discipline – math, statistics, data and analytics preferred or equivalent experience
- 3+ years' experience in data science, statistical analysis, business intelligence or related consultative role
- Proficient in SQL, with experience writing and optimizing complex queries in a business environment
- 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)
- Strong analytical thinking and problem-solving abilities, with attention to detail and data accuracy
- 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
- Comfortable managing priorities and working independently within fast-paced, collaborative environments
- Strong attention to detail
- Strong analytical and problem-solving skills to interpret data and draw meaningful conclusions
- Exposure to Python or other scripting languages for analysis or automation is a plus
Benefits
- Annual bonus program
- Retirement contributions
- Health insurance
- Sick leave
- Parental leave
- Paid time off
Company Overview