• Engineer and optimize the ingestion of large volumes of data into cloud data warehouses • Work directly with a single enterprise client to understand their business needs, data landscape, and roadblocks • Design and build scalable data models that support the client's analytical and operational goals • Drive improvements to internal workflows and tooling to increase efficiency and repeatability • Serve as a thought partner for client stakeholders, guiding technical and strategic data decisions

iHeartRadio Current employees and contingent workers click here to apply and search by the Job Posting Title. The audio revolution is here – and iHeart is leading it! iHeartMedia, the number one audio company in America, reaches 90% of Americans every month -- a monthly audience that’s twice the size of any other audio company – almost three times the size of the largest TV network – and almost 4 times the size of the largest ad-supported music streaming service. In fact, we have: - More #1 rated markets than the next two largest radio companies combined; - We’re the largest podcast publisher, with more monthly downloads than the second- and third-largest podcast publishers combined. Podcasting, the fastest-growing new media, today has more monthly users than streaming music services or Netflix; - iHeart is the home of many of the country’s most popular and trusted on-air personalities and podcast influencers, who build important connections with hundreds of communities across America; - We create and produce some of the most popular and well-known branded live music events in America, including the iHeartRadio Music Festival, the iHeartRadio Music Awards, the iHeartCountry Festival, iHeartRadio Fiesta Latina and the iHeartRadio Jingle Ball Tour; - iHeartRadio is the #1 streaming radio digital service in America; - Our social media footprint is 7 times larger than the next largest audio service; and - We have the only complete audio ad technology stack in the industry for all forms of audio, from on demand to broadcast radio, digital streaming radio and podcasting, which bring data, targeting and attribution to all forms of audio at an unparalleled scale. As a result, we’re able to combine our strong leadership position in audience reach, usage and ad tech with powerful tools and insights for our sales organizations to help them build success for their clients at a more efficient cost than any other option. Because we reach almost every community in America, we’re committed to providing a range of programming that reflects the diversity of the many communities we serve – and our company reflects that same kind of diversity. Our company values stress collaboration, curiosity, welcoming dissent, accepting mistakes in the pursuit of new ideas, and respect for everyone. Only one company in America has the #1 position in everything audio: iHeartMedia! If you’re excited about this role but don’t feel your experience aligns perfectly with the job description, we encourage you to apply anyway. At iHeartMedia we are dedicated to building a diverse, inclusive, and authentic workplace and are looking for teammates passionate about what we do! What We Need: You enjoy combing through large data sets and finding patterns within the noise. You’re autonomous and able to acquire new skills to solve a problem. You’re always looking to innovate current processes and you get excited when tackling problems you haven’t seen before. You have a strong analytics and programming background and are excited for a new opportunity to wring every last bit of value out of data. What You'll Do: As an Analytics Engineer you will derive impactful insights from data to drive intelligence for Unified and its clients. You will work with your fellow team members to define and scope solutions to solve complex problems. You will help build, improve, and test robust reporting and statistics solutions that will drive impact throughout the organization. What You'll Need: Need to have: - 1-3+ years advanced programming skills in Python - Proficiency in SQL and knowledge of RDBMs like Postgres and Redshift - Experience with ETL processing and data wrangling including fetching, munging, cleaning, pivoting, analyzing, aggregating, distributing, and visualizing - Basic knowledge of statistics, algorithms, data structures, and machine learning Nice to have: - Experience with digital advertising technology - Experience with AWS - Experience with Spark and the big data ecosystem - Experience using Git and the Unix command-line - Familiarity with Airflow and Docker - Familiarity calling RESTful web services, specifically social APIs (Facebook, Twitter, LinkedIn, YouTube, etc.) - Familiarity with BI tools (Tableau, Sisense) - Bachelor’s or higher in a quantitative field What You'll Bring: - Respect for others and a strong belief that others should do this in return - Conceptual technical study and knowledge - Close attention to detail, following up until issues are resolved - Ability to complete defined tasks, while also collaborating with others - Ability to communicate technical information with team members - Skills to address straightforward problems - Analytical thinking - Resourcefulness Compensation: Salary to be determined by multiple factors including but not limited to relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data. $80,600 - $100,750 Location: VIRTUAL, NY Position Type: Regular Time Type: Full time Pay Type: Salaried Benefits: iHeartMedia’s benefits offering is flexible and offers a variety of choices to meet the diverse needs of our changing workforce, including the following: - Employer sponsored medical, dental and vision with a variety of coverage options - Company provided and supplemental life insurance - Paid vacation and sick time - Paid company holidays - A Spirit day to encourage and allow our employees to more easily volunteer in their community - A 401K plan - Employee Assistance Program (EAP) at no cost – services include telephonic counseling sessions, consultation on legal and financial matters, emotional well-being, family and caregiving - ​A range of additional voluntary programs, such as spending accounts, student loan refinancing, accident insurance and more! We are accepting applications for this role on an ongoing basis. The Company is an equal opportunity employer and will not tolerate discrimination in employment on the basis of race, color, age, sex, sexual orientation, gender identity or expression, religion, disability, ethnicity, national origin, marital status, protected veteran status, genetic information, or any other legally protected classification or status. Non-Compete will be required for certain positions and as allowed by law. Our organization participates in E-Verify. Click here to learn about E-Verify.

• Own Reporting Reliability & Data Quality • Build Scalable Data Models • Deliver High-Impact BI Solutions • Ensure Data Trust & Observability • Partner with the Business

Role Description We are currently seeking an ETL DataStage Developer - REMOTE to join our team in Toronto, Ontario (CA-ON), Canada (CA). - Perform Data analysis, collect business requirements and identify business rules. - Analyze, develop and support Data Integration, EDW and Data Management using Data Stage, Teradata, SQL, Autosys, Oracle etc. platforms and tools. - Collaborate with data modelling team to define data integration logic. - Create data mapping necessary to fulfill the requirements. - Build and test new ETL programs to fulfill the service requests. - Automate the ETL processes and pipelines using scripting and Autosys. - Participate in Unit Testing, assist QA team in Integration Testing, and support Business team for UAT. - Participate in code deployment and coordinate with different infrastructure teams during go-live, post-production, and continued support of end product. - Estimate the time and resources needed for implementing the service requests. - Participate in technology governance groups that defines policies, best practices and make design decisions in ongoing projects. - Mentor junior developers regarding best practices and technology stacks used to build the application. - Debug data quality issues by analyzing the upstream sources and provide guidance to data integration team resolutions. - Work closely with DBAs to fix performance bottlenecks. Qualifications - 8+ total years experience in data integration (ETL). - 5 years solution development using DataStage suite. - 5 years of experience in RDBMS / Data Warehousing platforms, preferably Teradata. Requirements - Python scripting to introduce automation as part of solution delivery. - Recent experience and clear responsibilities in an ETL / Extracts / Data Engineering lead developer capacity. - Certifications in ETL and Data Warehouse platforms. - Strong SQL knowledge and ability to write most complex queries. - Conceptual understanding of logical and physical data model is a must, and a working experience is a plus. - Ability to develop and maintain data integration/ETL specifications that states integration rules and mappings. - Domain experience in Healthcare. - Data profiling and implementation of automated solutions for data quality checks. - Databricks certifications. Company Description NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.