Data Analyst

Blankfactor · Other US Location

Company

Blankfactor

Location

Other US Location

Type

Full Time

Job Description

What we do 

At Blankfactor, we are dedicated to engineering impact. We are passionate about creating value by building best-in-class tech solutions for companies looking to transform, innovate, and scale. In every project, we aim to deliver work that moves the needle and drives measurable outcomes for our partners and clients. Our full-stack development, data engineering, digital product, and enterprise AI solutions cater to a range of industries, including payments, banking, capital markets, and life sciences.

We are headquartered in Miami, Florida, have offices in Bulgaria, Colombia, and Romania, and are rapidly expanding our global footprint. Our culture of engineering excellence, technical expertise, and care for both our clients and our talented workforce has made us one of the fastest-growing companies in America.
 

We only hire the best and brightest. If you have talent and ambition, join us and be part of an environment that fosters innovation, collaboration, and growth. Welcome to Blankfactor!

What to expect in this role
Our client is an international leader, the biggest in the world, in payments processing technology servicing all types of businesses – big and small, online and traditional retail outlets.

The company’s financial products include credit cards, ATM processing, merchant services, rewards and fraud prevention.

They specialize in delivering online payment services to our customers and we are looking for Engineers to join our team to take it to the next level. They are unique in the world and put us firmly beyond what the competition can deliver.

Operating within a collaborative Agile environment, we aim to deliver effective solutions to the business and our customers using our evolving payment platform.
 

We are interested in finding proactive team players who would like to work in the Fintech sector with like minded individuals that want to develop robust and scalable applications for the growing market.

With this role you will have the opportunity to work with the Data Platform Space as we continue to

design a modern, first-class platform using cutting-edge technologies such as AWS, Kafka and Exadata.

 

We are looking for a Data Analyst who will primarily be involved with the mapping of large systems, providing business translations and value to the underlying data sets. The scope of work will encompass the entire programme, building lineage and understanding throughout. You will engage and build strong relationships with relevant SMEs, architects and engineers across a 4-ART SAFE organization.

You will use all information gathered from the multiple teams to build a comprehensive and first-class Data Catalog.
Collaborate with stakeholders to understand business and technical requirements.

  • Collaborate with ART teams to build knowledge of data flow and meaning.

  • Support audit and compliance requirements such as PCI, PII and GDPR.

  • Build and Manage Data Catalog product.

Qualifications and Tech Proficiency

  • Experience of data governance and data quality management.

  • Experience working in the payments industry.

  • Excellent analytical, problem solving and decision making skills.

  • Effective communication and interpersonal skills with the ability to collaborate with diverse

  • stakeholders and drive consensus.

  • Experience in data modeling, database design and data warehousing concepts.

Nice to have

  • Strong knowledge of cloud based data services.

  • Experience working on high-volume distributed data processing systems.

What you can expect as a member of the Blankfactor team

  • Competitive salary aligning with industry benchmarks

  • 25 days paid vacation

  • Premium private health insurance coverage

  • Sports benefits subscription

  • $500 dedicated self-development budget

  • Meal tickets

  • 25 Lei lunch budget when working from the office

  • Friendly office atmosphere

  • Diverse client portfolio

  • Cutting-edge high-tech stack

  • Fintech Expertise: expertise in machine learning, data science, big data, and AI, driving innovation and cutting-edge solutions

  • Continuous Learning Culture and Support


 

We believe that diversity of experience and background contributes to more robust ideas and a stronger team. All qualified applicants will receive consideration for employment without regard to religion, race, sex, sexual orientation, gender identity, national origin, or disability.


 

Apply Now

Date Posted

10/02/2024

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