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Data Optimisation Jobs in New York (NOW HIRING)

Introducing Optimum Media. Driven by the power of Optimum, Optimum Media is our innovative ... We are the data specialists that ensure the highest operational efficiency of reporting and ...

Introducing Optimum Media. Driven by the power of Optimum, Optimum Media is our innovative ... We are the data specialists that ensure the highest operational efficiency of reporting and ...

Data Scientist (Product)

Manhattan, NY · On-site

$100 - $250/hr

You'll work on projects ranging from user-behavior insights to revenue optimization, experimentation, modeling, and building internal data tools that scale across the organization. This is a high ...

Showing results 21-40

Data Optimisation information

What is data optimisation?

Data optimisation refers to the process of improving the quality, accessibility, and efficiency of data within an organization. It involves cleaning, structuring, and organizing data so that it can be used more effectively for analysis, decision-making, and business operations. Data optimisation can help reduce storage costs, enhance system performance, and ensure that accurate and relevant data is available when needed. This process often includes data deduplication, compression, and the implementation of best practices for data management.

What are the key skills and qualifications needed to thrive as a data optimisation specialist?

To thrive as a Data Optimisation Specialist, you need strong analytical skills, proficiency in data analysis, and a background in statistics or computer science, often supported by relevant degrees or certifications. Familiarity with data management tools like SQL, Python, Excel, and optimisation platforms such as Google Analytics or Tableau is typically required. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for translating insights into actionable strategies. These skills ensure that data-driven decisions are accurate, impactful, and aligned with business objectives.

What are the most common challenges faced in a data optimisation role, and how can I prepare for them?

One of the main challenges in a Data Optimisation role is dealing with large, complex datasets that may have inconsistencies or missing information. You’ll often need to balance improving data quality with maintaining data integrity and system performance. Collaborating across departments, such as IT, analytics, and business operations, is typical, so strong communication skills are essential. Preparing by learning best practices in data cleaning, ETL processes, and familiarizing yourself with relevant tools will help you succeed and adapt quickly.

What is the difference between Data Optimisation vs Data Analysis?

AspectData OptimisationData Analysis
Primary FocusImproving data processes and system efficiencyInterpreting data to uncover insights
Skills RequiredData management, process improvement, technical skillsStatistical analysis, reporting, critical thinking
Work EnvironmentIT teams, data engineering, system optimizationBusiness units, research teams, analytics departments
CertificationsData management, database certificationsData analysis, statistical certifications

Data Optimisation focuses on enhancing data systems and processes for efficiency, while Data Analysis involves examining data to generate insights. Both roles require strong technical skills, but their objectives differ: one improves data infrastructure, the other interprets data for decision-making.

What are data optimisation jobs?

Data optimisation jobs involve analyzing and improving data quality, structure, and efficiency to support better decision-making and operational performance. These roles often require skills in data analysis, database management, and tools like SQL or data visualization software, with a focus on enhancing data accuracy and accessibility.

What are popular job titles related to Data Optimisation jobs in New York?

For Data Optimisation jobs in New York, the most frequently searched job titles are:

What job categories do people searching Data Optimisation jobs in New York look for?

The top searched job categories for Data Optimisation jobs in New York are:

What cities in New York are hiring for Data Optimisation jobs?

Cities in New York with the most Data Optimisation job openings:

Infographic showing various Data Optimisation job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Intern - Data Engineer

Optimum

Long Island City, NY • On-site

$35/hr

Internship

Re-posted 19 hours ago


Optimum rating

7.5

Company rating: 7.5 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

49th of 101 rated telecommunications companies


Job description

Introducing Optimum Media. Driven by the power of Optimum, Optimum Media is our innovative multiscreen advertising sales and media consultancy business servicing small to medium business as well as national, political, media & entertainment and agency clients across the United States.

Our team is comprised of Sales Executives, Software Engineers, Data Analysts, Ad Operations, Marketing Professionals, Product Managers and more.

If you are tech-savvy, data-driven, client focused, and solutions oriented this brand is for you!

Job Summary

The Data Solutions Team is a core part of Optimum Media. Our team incorporates data engineering, data management, data onboarding, and data analysis into a singular group. We are the data specialists that ensure the highest operational efficiency of reporting and analytics within the organization and are seeking a Data Engineer Intern to support the development and maintenance of data pipelines, data infrastructure, and analytical data solutions. The Intern will work closely with Data Engineering and Data Analytics teams to help ingest, process, and manage data across various systems. This role will assist in the development and improvement of data solutions, data quality processes, and data pipeline reliability while gaining hands-on experience with our data platform and technologies.

Responsibilities
  • Collaborate with data engineers and cross-functional teams to support the development and maintenance of data pipelines, data structures, and ETL/ELT processes.
  • Work with large relational databases and data warehouse platforms (e.g. Google BigQuery, Snowflake, Databricks) to support data processing and reporting needs.
  • Write SQL queries & Python code for data structuring, data validation, process automation, and data engineering workflows.
  • Aggregate, onboard, and investigate data from multiple sources; identify and troubleshoot data quality issues.
  • Document data processes, architecture, and development activities following established engineering best practices.
Qualifications
  • Bachelor's/Master's Degree in Data Science/Statistics/Computer Science/Computer Engineering/Information Science/Mathematics or equivalent job experience
  • Graduate degree in related field, preferred
  • 1-2 Years minimum relevant working experience, preferred
  • Intermediate SQL programming skills, including working with relational databases, data manipulation, and data transformation
  • Comfortable reading, writing, troubleshooting, and understanding Python code
  • Exposure to cloud data platforms and technologies such as Google BigQuery, AWS Redshift or Databricks
  • Familiarity with ETL/ELT concepts and data processing workflows
  • Strong problem-solving skills and willingness to learn new technologies and tools
  • Team-oriented with strong communication skills and the ability to collaborate with both technical and non-technical stakeholders
  • Exposure to Snowflake or other cloud-based data warehouse technologies, preferred
  • Familiarity with PySpark, Spark or other distributed data processing technologies through coursework, projects, or internships, preferred
  • Experience scripting and deploying ETL jobs, cron jobs and code changes, preferred
  • Experience with Linux or Bash scripting is a plus
  • Experience with Git, GitHub, or other code versioning tools is a plus
  • Basic statistical analysis, data science, or machine learning experience is a plus
  • Experience in Media, Television, Advertising, or Digital Marketing is a plus

We are an Equal Opportunity Employer committed to recruiting, hiring and promoting qualified people of all backgrounds regardless of gender, race, color, creed, national origin, religion, age, marital status, pregnancy, physical or mental disability, sexual orientation, gender identity, military or veteran status, or any other basis protected by federal, state, or local law.

The Company collects personal information about its applicants for employment that may include personal identifiers, professional or employment related information, photos, education information and/or protected classifications under federal and state law. This information is collected for employment purposes, including identification, work authorization, FCRA-compliant background screening, human resource administration and compliance with federal, state and local law.

Applicants for employment with The Company will never be asked to provide money (even if reimbursable) as part of the job application or hiring process. Please review our Fraud FAQ for further details.

Pay is competitive and based on a number of job-related factors, including skills and experience. The starting pay rate/range at time of hire for this position in the posted location is $35.00 / hour. The rate/range provided herein is the anticipated pay at the time of hire, and does not reflect future job opportunity.

We appreciate your interest in this opportunity. Applicants must be authorized to work for ANY employer in the U.S.  Please note that at this time, we do not provide visa sponsorship for employment.


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