Senior Data Analyst

January 31

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OMEGA POINT (OMPNT)

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OMEGA POINT (OMPNT) is a company that provides a data-driven platform for investment professionals. The platform, characterized by a no-code interface, allows users to harness extensive datasets and sophisticated techniques for a variety of investment processes such as portfolio construction, monitoring, and risk management. It caters to portfolio managers, risk managers, analysts, and data scientists, enabling them to perform tasks like identifying alpha-rich stocks, constructing hedge baskets, and optimizing portfolios with minimal need for in-house quant expertise. Omega Point's ecosystem facilitates collaboration and quick decision-making by providing single-point access to a multitude of globally recognized datasets.

Portfolio Management • Factor Analysis • Securities • Long/Short Investments • Algorithmic Trading

11 - 50 employees

💸 Finance

💳 Fintech

☁️ SaaS

📋 Description

• Did you know someone completes a Go1 course or learning resource almost three times every second? • We've grown from humble beginnings into the most diverse learning content aggregator on the planet. • Our culture transcends physical walls, thriving in connections and collaboration. • We embrace change as an opportunity for innovation and growth. • Our pace is fast, and our goals are ambitious. • The next chapter of our growth story needs you. GO there with us. • Our environment is fast paced and ambiguous, and fully remote. • In Go1 our people need to be able to collaborate cross-functionally, engage different teams to solve complex challenges. • Have a proactive, and curious mindset, able to deal with ambiguity. • Enjoy working in a fast-paced, outcome orientated environment. • As a Senior Data Analyst you will join three other Data Analysts. • They are building insights and reporting capability to meet the needs of our Product and Customer functions. • Data Intelligence work alongside our business leaders and product managers to help shape the strategy and direction of projects and products. • Proactively offering insights and suggesting improvements. • Within Product we are building customer facing Insights. • Influencing and guiding Product decisions with explorations in our Data. • Developing Metrics to monitor success. • Across our Corporate functions we are building and enabling capability to enable our Customer and Marketing functions to take action, and drive new programmes of work.

🎯 Requirements

• Bachelors or Masters degree in Data Science, Statistics, Mathematics or Computer Science • Minimum 5 years experience as a Data Analyst, with a focus on statistical analysis and a track record of delivering actionable insights • Application of statistical methods in your analytical products • Proficiency in SQL, and Python • Strong communication skills enabling you to communicate complex context into concise, actionable steps • Experience in a B2B SaaS (nice to have) • Experience with Databricks (nice to have) • Experience of automated tests, version controlling and using CICD and GitHub to deploy your Analytical Products to a Production environment (nice to have)

🏖️ Benefits

• In addition to your base salary: Annual bonus or commission plan. • Employee Stock Option Plan: Opportunity to share directly in our success through stock options. • Public Holiday Swap: Swap a public holiday for another preferred day. • Flexible Working: We offer both hybrid and remote working. • Wellbeing & Learning Days: An additional five days of paid leave per year. • Learning Budget: $500 USD per financial year, plus access to additional Career Growth Budget. • WFH/Transport Budget: Monthly allowance for internet/phone expenses or public transport. • Home Office Setup Budget: One-off allowance for desk, chair and/or monitor. • Parental Leave: Minimum of 18 weeks paid parental leave for primary carers + 6 weeks paid parental leave for secondary carers. • Wellbeing Support: Access to counselling and wellbeing app via Nilo Health.