Senior Manager Data Analytics and Engineering

Posted 17 Hours Ago
Be an Early Applicant
Warsaw, Warszawa, Mazowieckie
Senior level
Fintech • Information Technology • Payments
Join a world leader in payments and technology!
The Role
The Senior Manager of Data Analytics and Engineering will lead a team responsible for developing and delivering automated database infrastructure, data pipelines, and dashboards. They will engage with business leaders to understand requirements and provide data-driven insights while implementing quality assurance and data automation strategies.
Summary Generated by Built In

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

What's it all about? 

The Data Analytics and Engineering senior manager will be part of an innovative Business Intelligence and Sales Tools Team within the VAS COO organization. The candidate manages a team of 6+ frontend BI and backend data engineering responsible for designing, developing and delivering automated database infrastructure, pipelines and integration, and dashboards that are leveraged by our sales teams, sales leaders, business partners, functional areas, businesses units and executives. This role requires a mix of people manager skills enabling productivity in an Agile environment and in depth technical knowledge. The candidate will need to learn business requirements and nuances, and translate into efficient data solutions.

Responsibilities

  • Lead a team of 3+ frontend developers, working with business leaders across the Sales Organization to understand the needs and requirements of the business. Provide data-driven insights and results that address these requirements.
  • Lead a team of 3+ backend developers, building and maintaining clean data sets, automate data workflow and integration tasks. Monitor and support production data warehouse.
  • As single contributor:
  • Implement and drive an operating mechanism to distribute work and ensure overall quality and timely delivery against roadmap.
  • Collaborate with other senior leaders within Business Intelligence and Sales Tools Team to define priorities and ideate data solutions aligned to business needs.
  • Establish a formal QA framework and operating rhythm, delivering quality assurance and peer testing procedures for both frontend and backend activities.
  • Actively engage in understanding business needs and designing / implementing efficient data logic to stitch datasets across multiple data domains.
  • Define and execute strategies to acquire additional datasets, and implement ongoing automated data pipelines into Hadoop data warehouse.
  • Desing and implement data quality routines, making progress towards stablishing a monitoring engine that measures key quality rules and data standards, and triggers proactive performance alarms.

Qualifications

What we expect of you, day to day.

  • 5+ years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree leading a team of frontend and backend data developers.
  • 3+ years of experience working in an environment and scope of responsibility that expands across regions.
  • In depth knowledge of data warehouse design. Big data experience (Hive, Presto, Airflow, or other HDFS based) required. Needs to have experience taking large amounts of data and narrowing them down to more focused data sets.
  • Experience with creating data driven business solutions and solving data problems using a wide variety of technologies such as Tableau Hadoop, MapReduce, Hive, Spark, as well as traditional data technologies like MySQL, RDBMS.
  • Experience with both descriptive and predictive analytics methodologies, and the design / delivery of analytical products.
  • Exposure to Data Governance and Data Quality concepts: data governance committee, data policies, data rules and data dictionary.

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Top Skills

Airflow
Hadoop
Hive
Presto
The Company
HQ: San Francisco, CA
26,500 Employees
On-site Workplace
Year Founded: 1958

What We Do

At Visa, we are driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. As our products and technology have evolved with the world, Visa remains ubiquitous, reaching new customers in new and often invisible ways. We are at the center of this digital revolution with a network that connects people with over 80 million businesses all over the world. And Visa’s network is expanding, accelerating our growth. Our resilient business model, with its strong track record of success, will provide you with amazing opportunities to grow in your career, as well.

We are looking for people like YOU. Come join a people-centric company where you can invest in your career.

For more information, visit visa.com/about, visacorporate.tumblr.com and @VisaNews on Twitter.

Why Work With Us

Our employees are our company. Creating an inclusive and diverse workplace has been our key priority. With our purpose to “uplift everyone, everywhere” as our guide, we’re building an environment where diverse backgrounds and perspectives are celebrated and drive success inside our company and out in our communities.

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