Senior Data Analyst
Edgefolio
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Senior Data Analyst
About Us
Edgefolio is a B2B FinTech scale-up. We provide shared and enterprise SaaS solutions for hedge funds and investment banks, helping fund managers to connect with investors, raise capital and manage investor relations.
We work in agile, cross-functional teams. We believe in empowering our teammates in their work, giving them autonomy and ownership of what they do. We want everyone at Edgefolio to own their story and their successes – all our team members are highly valued and important people of our company's journey.
The Role
We are looking for an experienced data professional to join our rapidly growing team. Reporting to the Head of Product, you will help to drive the delivery of rich customer insights across the platform, analysing customer data, defining performance metrics, designing rich data models and delivering actionable insight through embedded dashboards, self-service analytics and data integration solutions.
You will have a breadth of skills and experience across analytics and engineering. You will be an analyst first and foremost. You enjoy working with customers and delivering commercial value. You’ll also have the engineering experience to build and maintain ETL pipelines with support from the main engineering team. And you will help to evolve the data capabilities and culture of the broader organisation, improving data driven decision making and strengthening governance.
You will be a self-starter who enjoys working both autonomously and collaboratively as part of a fast-paced cross functional team, you will be comfortable balancing attention to detail with pragmatism, managing different priorities and delivering large projects incrementally within an agile environment.
Responsibilities
Understanding customer needs - Work closely with customers, commercial and product teams to develop a deep understanding of customers' data needs.
Exploratory data analysis - Gather and analyse data from different sources to identify patterns, trends, anomalies that can be refined into customer value.
Defined outcomes and metrics - Establish clear outcomes and performance metrics with associated data sources, modelling approach and constraints.
Domain modelling - Design thoughtful domain data models that are optimised to best service agreed customer needs, use cases and outcomes.
ETL Pipelines - Create and maintain robust ETL pipelines that deliver reliable, high quality insight.
Analytics dashboards - Conceptualise and build self-service analysis dashboards to deliver actionable insight in a delightful and intuitive way.
Data quality - Design and implement data quality standards and processes to improve the accuracy, completeness, and consistency of data.
KPIs - Communicate results to drive impact: share insights and results in a commercial and compelling manner, including ability to visualise results.
Data capability and culture - Work with teams across the wider business to improve data understanding, availability, usage and governance.
About You
A minimum of 3 years in relevant data roles, preferably in B2B SaaS, startups, scaleups or FinTech, working on various aspects of data analysis, engineering, modelling and visualisation.
Experience with modern data platforms including Microsoft Azure.
Experience working directly with clients and commercial teams.
Experience working in agile, cross-functional teams.
Low ego, willing to roll up your sleeves and, as a team, get the job done
Excellent written and verbal communication skills
Numerate degree and/or background preferred
Hybrid working model (2-3 days in the office - WeWork, Moorgate)
What is in it for you:
Join a fast growing scale-up digitising the asset management industry
Work with high-status clients, from leading investment banks to Fund Managers and large Institutional Investors
Responsibility and opportunity from day 1
Flexible, independent and hybrid working environment
Company pension plan
25 days holiday plus have your birthday off
5 charity days
Mentored and coached by an experienced Head of Product
How to Apply:
If you are interested in this role, please send CV to careers@edgefolio.com. We look forward to hearing from you!
Edgefolio is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
This is Edgefolio.
It's not the tech. It's our people.
In each of us, you'll witness sharp minds, kind spirits, and the determination to transform our ambitions into reality and make a positive impact on the world.
Joining Edgefolio means to become the best version of yourself and to be given the freedom and confidence to make this the best job of your life.
Shaping the future is not easy and also not done overnight. The challenge is a great one and we're well on our way - Join us!
Senior Data Analyst
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This job is no longer accepting applications
See open jobs at Edgefolio.See open jobs similar to "Senior Data Analyst" Seedcamp.