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Remote Data Transformation Analyst Jobs in New York

Splice

Data Engineer II (Remote US)

New York, NY · Remote

$125K - $150K/yr

REMOTE- US THE ROLE: We're looking for a Data Engineer II to join Splice's Data Engineering team ... plan analysis * Proficiency in Python for pipeline logic, data transformation, and testing ...

LEO&Co

Part Time Data Analyst (Remote)

New York, NY · Remote

In this role, the Data Analyst (Remote) will be responsible for ensuring the business makes better decisions through collection and usage of data. Responsibilities: The Data Analyst (Remote) will:

MM International

Data Analyst - Remote

New York, NY · Remote

Data Analyst Location: Remote Top Skills: * Python * Tableu * SQL Strong * AWS Job Requirement: * * Need to have experience with Data sets to do: * Gain customer insights (segmentation and ...

YO AI Labs

Data Privacy Analyst - Remote

New York, NY · Remote

Data Privacy Analyst Job Type: Contractor Location: Remote Job Overview We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting ...

Recidiviz

Data Analyst

New York, NY · On-site +1

$97K/yr

Remote, New York City, or Oakland, CA * Travel is encouraged approximately once every 6 months to ... data extraction and transformation tasks * High familiarity with Python, specifically Pandas ...

Pull Skil

Data Governance Analyst

Jersey City, NJ · Remote

REMOTE Reports To: Project Manager Manager Notes: Need someone with background in Data Governance ... transformations to measure and improve the quality of data as well as routines and algorithms to ...

NAVA Software Solutions

Sr. Data Analyst - Remote

Manhattan, NY · On-site +1

$94K - $119K/yr

Details: Sr. Data Analyst Duration: Full time / Direct Hire Location: 100% Remote but candidate must be in below states Will hire remote in CA, CT, FL, GA, IL, MD, NH, NJ, NY, NC, PA, TX, UT, WA, DC ...

Pull Skil

Data Governance Analyst

Jersey City, NJ · On-site +1

REMOTE Reports To: Project Manager Manager Notes: Need someone with background in Data Governance ... transformations to measure and improve the quality of data as well as routines and algorithms to ...

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Remote Data Transformation Analyst information

What is a remote data transformation analyst?

A Remote Data Transformation Analyst is a professional who specializes in converting, cleaning, and organizing raw data into usable formats for analysis, all while working from a remote location. They work with large datasets, using tools and programming languages such as SQL, Python, or ETL (Extract, Transform, Load) platforms to ensure data accuracy and consistency. Their work supports business intelligence, reporting, and decision-making processes by making data accessible and actionable for stakeholders. Remote Data Transformation Analysts often collaborate with data engineers, data scientists, and other IT professionals to deliver high-quality data solutions.

What are some common challenges faced by remote data transformation analysts and how can they be addressed?

Remote Data Transformation Analysts often encounter challenges such as ensuring data accuracy across multiple sources, collaborating effectively with geographically dispersed teams, and managing tight project deadlines. To address these, it's important to establish clear communication channels, use project management tools to track progress, and routinely validate data transformations to maintain quality. Proactively seeking feedback from team members and stakeholders can also help quickly identify and resolve any issues, fostering a more efficient and collaborative remote work environment.

What are the key skills and qualifications needed to thrive as a remote data transformation analyst, and why are they important?

To thrive as a Remote Data Transformation Analyst, you need strong analytical skills, proficiency in data manipulation, and a background in computer science, information systems, or a related field. Familiarity with ETL tools (like Talend or Informatica), SQL, and data visualization platforms, as well as certifications in data analytics or related areas, are typically required. Excellent attention to detail, problem-solving abilities, and effective remote communication skills help you stand out in this role. These skills ensure accurate data transformation, seamless collaboration across distributed teams, and the delivery of actionable insights for business decision-making.

What is the difference between Remote Data Transformation Analyst vs Remote Data Engineer?

AspectRemote Data Transformation AnalystRemote Data Engineer
Required CredentialsBachelor's in Data Science, IT, or related field; SQL, Excel, data visualization skillsBachelor's or higher in Computer Science, Data Engineering; SQL, Python, cloud platforms
Work EnvironmentRemote, often part-time or project-based, collaborating with analysts and business teamsRemote or hybrid, involved in building and maintaining data pipelines and infrastructure
Employer & Industry UsageBusiness intelligence firms, finance, healthcare, retailTech companies, finance, e-commerce, large enterprises

The Remote Data Transformation Analyst focuses on cleaning, transforming, and visualizing data to support decision-making, while the Remote Data Engineer designs and maintains the data infrastructure and pipelines. Both roles require SQL skills and often work remotely, but Data Engineers typically have more programming and infrastructure responsibilities.

What are the most commonly searched types of Data Transformation Analyst jobs in New York?

The most popular types of Data Transformation Analyst jobs in New York are:

What are popular job titles related to Remote Data Transformation Analyst jobs in New York?

For Remote Data Transformation Analyst jobs in New York, the most frequently searched job titles are:

What job categories do people searching Remote Data Transformation Analyst jobs in New York look for?

The top searched job categories for Remote Data Transformation Analyst jobs in New York are:

What cities in New York are hiring for Remote Data Transformation Analyst jobs?

Cities in New York with the most Remote Data Transformation Analyst job openings:

Remote Data Transformation Analyst jobs near you

Engineering Manager, Data Transformation

Stripe

New York, NY • On-site, Remote

Full-time

Posted 4 days ago

Job description

Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
The Data Transformation team is responsible for building and operating batch and real-time transformation pipelines and platforms for 400+ product teams at Stripe. We're aiming to make data development and management workflow at Stripe a breeze with emphasis on producing high-quality datasets used for critical analytics, dashboards, and workflows at Stripe. The products owned by this team are widely adopted with 800+ weekly active users improving developer productivity for data users manifold. The team is in an interesting phase of innovation tied to the topmost priority for Stripe, building and executing the strategic roadmap for streaming transformation, incremental processing, and ergonomic data modeling.
We empower our users ranging from data scientists to engineers building pipelines to create exceptional Stripe product experiences while providing a robust transformation platform for critical dashboarding, analytics, and workflows at Stripe including user-facing reporting products Sigma and Radar.
We adopt a combination of open-source technologies and in-house-built software to ensure high scalability, reliability, and usability of our transformation offerings. Key example technologies include Spark, Airflow, Iceberg, Hive, S3, SQL, Python, Scala, GRPC, Kafka, and FlinkSQL.
What you'll do
As an Engineering Manager of the Data Transformation team, you'll lead a team of engineers, collaborate with infrastructure and product engineering orgs, and advance the Data Transformation roadmap and adoption at Stripe. You'll drive critical workstreams for the topmost priorities at Stripe around delivering high-quality, materialized datasets for Stripe products and AI agents.
Responsibilities
  • Deliver infrastructure and services that scale to our users' needs with an eye on reliability and efficiency
  • Lead and manage a team of engineers, providing mentorship, guidance, and support to ensure their success
  • Work with high-visibility teams and their stakeholders to support key infrastructure engineering initiatives
  • Understand user needs and pain points to prioritize engineering work and deliver high-quality solutions that meet those needs
  • Drive the execution of projects, overseeing the entire development lifecycle from planning to delivery, while maintaining high standards of quality and timely completion
  • Provide hands-on technical leadership (architecture and design, vision, direction, requirements setting, and incident response processes) for your reports
  • Work with leaders across the company to create and drive toward the longer-term vision of the Data Transformation roadmap
  • Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team
  • Partner with our recruiting team to attract and hire top talent and define the overall hiring strategies for your team
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
  • 3+ years of experience managing teams that shipped and operated data pipelines and critical distributed system infrastructure
  • Successfully recruited and built great teams
  • Strong customer focus, committed to investing in partnerships with other Stripe engineers to establish empathy and understand their use cases
  • Works effectively cross-functionally and is able to think rigorously, communicate effectively, and make or coordinate hard decisions and trade-offs
  • Thrives with a high degree of autonomy and responsibility in an ambiguous environment
  • Technical acumen to drive clarity with staff engineers about architecture and technical strategic decisions
  • Encourage a healthy and inclusive work environment that's both challenging and supportive
Preferred qualifications
  • Managed teams that shipped products to data users and operated large-scale, high-availability data transformation pipelines, with expertise in Kafka, Flink, Spark, Airflow, Python, SQL, and API design
  • A genuine enjoyment of learning and diving into the nuts-and-bolts of how things work, with the ability to question and direct architectural decisions
  • Strong written and verbal communication skills for different audiences (leadership, users, company-wide)

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