Business Data Analyst

Clear Street · Brooklyn NY

Company

Clear Street

Location

Brooklyn NY

Type

Full Time

Job Description

Clear Street is building modern infrastructure for capital markets. Outdated technology makes markets difficult and expensive to access. We're fixing that.

We started with prime brokerage, in an industry that has struggled to see any real innovation in decades. Our cloud-native, prime brokerage platform has redefined what it means to work with a prime broker - improving access, speed, and service to our clients.

We want to continue that change across all capital markets. Today, we offer institutions, professional traders, and brokers everything they need to trade U.S. equities and options. In the future, our platform will give all types of investors access to every major product in every major market.

The Role:

We are looking for a Data Analyst to work as part of the Data Analytics team, a part of the engineering division. This role will be focused on working closely with business stakeholders, helping to facilitate their access to the firm’s data via BI tools, Excel, and SQL. Python knowledge is not required for this role; however, our team is also responsible for some data engineering and reporting that is productionized using Python. Data Analysts will be exposed to Python as part of the role.

You will:

  • Work closely with business stakeholders to fulfill their data needs
  • Build queries, reports, and dashboards using the Sigma Computing BI tool
  • Promote adoption of the BI tool and help build proficiency in it across the organization
  • Query the Snowflake data warehouse using SQL
  • Contribute to hiring, process improvement, and the general operation of the team and company

Requirements:

  • 2+ years of experience working with data, preferably in the finance sector
  • Understanding of equities, options, fixed income, and other securities
  • Understanding of data modeling and data warehousing principles
  • Experience using BI tools to query data and create visualizations
  • Experience with Excel, specifically lookup functions, charting, and pivot table creation
  • Proficiency with SQL querying

Bonus:

  • Familiarity with Python
  • Experience in prime brokerage
  • Experience with Snowflake data warehouse or Sigma Computing BI tool
  • Familiarity with querying a REST API using a visual tool like Postman or Insomnia

We offer:

  • The opportunity to join a small and growing team of good people, where you can make a difference
  • A meritocratic philosophy that champions collaboration
  • Room to innovate, solve complex business problems and build new products
  • Competitive compensation, benefits, and perks

The Base Salary Range for this role is $70,000 - $100,000. This range is representative of the starting base salaries for this role at Clear Street. Where a candidate falls in this range will be based on job related factors such as relevant experience, skills, and location. This range represents Base Salary only, which is just one element of Clear Street's total compensation. The range stated does not include other factors of total compensation such as bonuses or equity.

At Clear Street, we offer competitive compensation packages, company equity, 401k matching, gender neutral parental leave, and full medical, dental and vision insurance. Our belief has always been that we are better as a business when we are all together in person. As such, beginning on January 2, 2023, we are requiring employees to be in the office 4 days per week. In-office benefits include lunch stipends, fully stocked kitchens, happy hours, a great location, and amazing views.

Our top priority is our people. We’re continuously investing in a culture that promotes collaboration. We help each other through challenges and celebrate each other's successes. We believe that modern workplaces succeed by virtue of having high-performance workforces that are diverse — in ideas, in cultures, and in experiences. We put in the effort to make such a workplace a daily reality and are proud to be an equal opportunity employer.

Apply Now

Date Posted

12/27/2022

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