
501 - 1000 employees
Founded 2000
πΈ Finance
βοΈ SaaS
π€ B2B
Finance β’ SaaS β’ B2B
eMoney Advisor is a financial planning software company. eMoney provides cloud-based planning tools and a client portal for financial advisors, including features such as Monte Carlo analysis, account aggregation, decision center, plan summaries, and API/aggregation integrations. Their products (Plus, Pro, Premier, Enterprise) support goals-based and cash-flow planning, client engagement, and enterprise deployments for banks, broker-dealers, and RIAs. eMoney focuses on improving advisor efficiency, client satisfaction, and scalability of planning services.
π₯ 14 minutes ago
πΊπΈ United States β Remote
π΅ $84k - $108k / year
β° Full Time
π‘ Mid-level
π Senior
π Business Intelligence Developer
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501 - 1000 employees
Founded 2000
πΈ Finance
βοΈ SaaS
π€ B2B
Finance β’ SaaS β’ B2B
eMoney Advisor is a financial planning software company. eMoney provides cloud-based planning tools and a client portal for financial advisors, including features such as Monte Carlo analysis, account aggregation, decision center, plan summaries, and API/aggregation integrations. Their products (Plus, Pro, Premier, Enterprise) support goals-based and cash-flow planning, client engagement, and enterprise deployments for banks, broker-dealers, and RIAs. eMoney focuses on improving advisor efficiency, client satisfaction, and scalability of planning services.
β’ Own medium-complexity analytics projects from requirements gathering through delivery, working with stakeholders to define objectives and success metrics. β’ Analyze and interpret structured and unstructured data from multiple sources to uncover trends, patterns, and opportunities. β’ Design and develop reports and dashboards using BI tools (e.g., Power BI, Looker), aligning outputs with stakeholder needs and business goals. β’ Translate business logic into technical specifications and implement calculations, KPIs, and rules in analytics environments. β’ Conduct exploratory analysis and hypothesis testing to validate assumptions and guide business decisions. β’ Collaborate with data engineers and developers to ensure data flows, structures, and integrations meet analytical requirements. β’ Contribute to data governance efforts by creating, maintaining, and enforcing data definitions, metadata, and lineage documentation. β’ Apply data quality and validation techniques to improve trust in data across the organization. β’ Partner with operational and cross-functional teams to identify opportunities to optimize processes, improve client experience, and increase revenue. β’ Utilize basic data modeling techniques (e.g., star/snowflake schema) and assist in the development of data pipelines and ETL workflows. β’ Present findings to diverse audiences, using visual storytelling and plain-language explanations to drive alignment and action.
β’ Bachelorβs degree in a quantitative discipline β math, statistics, data and analytics preferred or equivalent experience β’ 3+ yearsβ experience in data science, statistical analysis, business intelligence or related consultative role
β’ Health insurance β’ Retirement contributions β’ Sick leave β’ Parental leave β’ Paid time off β’ Annual bonus program
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