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We’re looking for an Analytics Engineer, Associate to measurably drive growth for our Operations and Investment Management (OIPM) group at iCapital. This involves defining and calculating KPIs, transforming raw source data into processed business data, creating live dashboards to monitor performance, identifying driver metrics and statistical correlations, and finally working with business teams to implement data insights. You will sit in the Analytics group of the broader Data & Analytics team and will work closely with our Data Engineering and Data Science teams. On the technical side, you will interface with our data stack of Airbyte, Snowflake, dbt, Prefect, Python and Tableau (among others). On the business side, you will work with our operations teams to produce management visibility, efficiency improvements and workflow automation. Ideal candidates will be highly proficient in our technical tooling, understand complex business problems, interface with senior stakeholders, develop execution plans, and finally present on their work.
Job Responsibility:
Write SQL within dbt to extract, transform, validate, and aggregate data
Create Tableau dashboards for various business teams, charting key metrics and performing exploratory data analysis
Monitor and deploy data pipelines into our orchestration infrastructure using Prefect
Drive projects to completion by gathering business requirements, implementing technical solutions, following software best engineering practices, and finally presenting on results
Work closely with our engineering, product and business teams to form a thorough understanding of our industry and evolving data model
Convert data insights into concrete, action-oriented and phased execution plans that measurably grow various business metrics over time
Requirements:
Bachelor’s degree or higher in Computer Science, Economics, Mathematics, Statistics or a related technical field
2 to 4 years of experience in an data-related role
Excellent writing, communication and presentation skills
Good knowledge of SQL (dbt experienced preferred)
Good knowledge of a business intelligence tool (e.g. Tableau, Looker, PowerBI)
Some knowledge of Python, Microsoft Excel and intermediate statistics
Interest in learning data modeling, relational databases, normalization, OLAP stores
Interest in learning data governance principles, data stewardship, traceability, lineage
Prior experience with end-to-end project delivery (e.g. requirements gathering, scoping, working within large organizations, presenting on project plans and results)
Detail-oriented, naturally curious and willing to question to status quo to understand business needs
Nice to have:
Prior experience in business analyst and/or project management roles
Prior experience in the financial services and alternative investments
What we offer:
Equity for all full-time employees
Annual performance bonus
Employer matched retirement plan
Generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling