Data Analyst

Unisys • Full-time • Rockville, MD, US • 8h ago

#LI-CGTS || #TS-5662

Where we work: Our AWS partnered analytics organization owns the world’s biggest financial data store and runs continuous analytics on global stock data movement. Our mission is to ensure investor protection and market integrity. We are constantly working on how to “hack/break” market systems with the goal of being ahead of potential bad actors in the market.

Our environment

Leading Innovator in Machine Learning/AI, Big Data, AWS, trading algorithms
We work on the world’s largest financial store (21 petabytes when complete). There is no other comparable opportunity in the market. We look at 130 billion financial transactions every day. That's more than Twitter, Visa®, PayPal and Facebook combined
Google, Amazon, Facebook & other tech icons follow the client as a model and recruiting base
Amazon Web Services- select Partner: We use cloud computing to automate and store massive amounts of data

Role : Data Analyst

Locations: Any locations (near client office (within 50 miles). Will go in 3 days/week.

(Atlanta, GA; Boca Raton, FL; Boston, MA; Chicago, IL; Dallas, TX; Denver, CO; Jericho, NY; Jersey City, NJ; Kansas City, MO; Los Angeles, CA; New Orleans, LA; New York, NY; Philadelphia PA; Rockville, MD; Reston, VA; San Francisco, CA; Washington DC; Woodbridge, NJ)

Must have’s:

3-5+ years of experience
Data analytics and visualization (able to manipulate complex data into dashboards/visualizations like PowerBI)
Advanced SQL
Some understanding of platforms like Dataiku and Databricks to perform statistical analysis
Stuff like R, Python

Job Description:

We are looking for a professional with strong problem solving and data analytics talent and experience to join our Reporting team. As a Data Analyst, you will leverage analytic and technical skills to design, build, and maintain well-managed data solutions and capabilities which address business problems and help regulatory staff make better informed decisions.
Executing analytics projects including non-analytical tasks, such as data sourcing, documentation etc.
Translating complex business sets and membership data into meaningful dashboards and insights, leveraging tools such as Microsoft PowerBI, Tableau, Cognos Analytics, Visual Basic for Applications (VBA), etc.
Use of data analytics processing tools such as Dataiku, Domino, and Databricks
Accessing and compiling large volumes of custom and syndicated data from disparate sources into concise and precise information
Developing process maps for complex business functions and documenting business requirements to support project needs
Leveraging existing data using analytical tools and languages (SQL, R, Python, SAS, or SPSS) to perform data manipulation and analysis
Designing and developing data-driven analysis using statistical & advanced analytics methodologies to solve business problems
Collaborating closely with developers to provide proofs of concept that can be converted into production-level applications
Presenting prototypes and learnings to stakeholders at all levels across the organization
Leveraging experience to ensure consistent data quality
Performing research to gain context and meaning of uncultivated data sets
Supporting the importance of data processes, data integrity and cleanliness, and the strategic use of data