data engineer

data scientist

data analyst

senior data engineer

financial analyst

digital data analyst

Roc Nation

<div>
 
 Job Summary
 
 
 
 Title: Data Analyst
 
 
 Reports to: Sr. Director, Data Science &amp; Analytics
 
 
 Location: New York, NY (On-Site, 5 days a week in office)
 
 
 
 The Role
 
 
 
 Roc Nation is seeking a Data Analyst to join our growing Data Science &amp; Analytics team. This role sits at the intersection of data, music, marketing, and business operations &mdash; requiring technical proficiency in data modeling, querying and reporting.
 
 
 The incumbent will have experience partnering with stakeholders and bridging the gap between data, decisions, and operational processes. You will work across all business verticals including Music, Distribution, Sports, Brands and Philanthropy to deliver impactful insights.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Reporting &mdash; Deliver regular reporting to stakeholders on music streaming performance and social engagement for our roster of clients. Support the digital marketing and brand partnerships teams with ad-roc analysis and reporting
 </li>
 <li>
 Insights &mdash; Address incoming requests for analysis and reporting that supports decision making across digital marketing, brand partnerships, and distribution
 </li>
 <li>
 Data Products &mdash;Build, maintain, and improve data products and self-service analytics offering with an emphasis on decisions and operational use cases
 </li>
 <li>
 Stakeholder Partnerships &mdash; Partner with stakeholders to understand business context, decisions, and operational processes while translating stakeholder needs into analysis and data product requirements
 </li>
 <li>
 Champion a Data Centric Culture &mdash; where stakeholders are empowered by data to make the right decisions at the right time
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 3+ years of experience as a data analyst developing data models and building data products and self-service analytics dashboards with modern business intelligence tools (Looker, Tableau, Power BI, etc.) that drive decision making and outcomes
 </li>
 <li>
 Experience working with and developing cloud data warehouses (Big Query, Snowflake, Redshift, etc.)
 </li>
 <li>
 A highly analytical and systems-level mindset focused on using data to drive decisions and business outcomes
 </li>
 <li>
 Ability to clearly articulate insights to a non-technical audience
 </li>
 <li>
 Comfortable partnering with engineering to define business requirements for dataset and metric development
 </li>
 <li>
 Proficiency with Microsoft Office products (Excel, Powerpoint, etc.)
 </li>
 <li>
 Familiarity with core music industry domains (marketing, distribution, artist and label services, brand partnerships)
 
 
 </li>
 </ul>
 Bonus Points For
 
 
 <ul>
 <li>
 Experience with python, dbt, and analytics engineering concepts
 </li>
 <li>
 Direct music industry experience
 
 
 </li>
 </ul>
 Applicants for employment in the U.S. must possess work authorization, which does not require sponsorship by the employer for a visa.
 
 
 
 Benefits &amp; Perks
 
 
 
 
 HEALTH
 
 : Medical, vision, dental and mental health benefits for you and your family with access to a health care concierge and Flexible or Health Savings Accounts (FSA or HSA)
 
 
 
 YOURSELF
 
 : Free concert tickets, generous paid time off including paid holidays, sick time and floating days
 
 
 
 CAREER
 
 : Career and skill development programs with School of Live
 
 
 
 WEALTH
 
 : 401(k) program with company match
 
 
 Note &ndash; Roc Nation benefits and policies differ from Live Nation.
 
 
 
 The Expected Compensation For This Position Is
 
 
 
 $68,000.00 USD - $85,000.00 USD
 
 
 <ul>
 <li>
 Pay is based on a number of factors including market location, qualifications, skills, and experience.
 
 
 </li>
 </ul>
 Live Nation Entertainment will never request payment or equipment purchases as part of the hiring process. Recruiters will only contact candidates from official Live Nation or affiliated brand email domains.
</div>

Data Analyst

NVIDIA

<div>Job Description: 
<h3 class="jobSectionHeader">
About the Role</h3>
As a Data Analyst, you will join a dynamic team dedicated to transforming complex data into actionable insights that drive strategic business decisions. This role is pivotal in shaping our data-driven strategies, directly impacting product development and operational efficiency. You will collaborate closely with various departments, leveraging your analytical prowess to uncover patterns and opportunities.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Analyze large datasets to identify trends, correlations, and anomalies using statistical methods.</li><li>
Develop and maintain dashboards and reports to visualize key performance indicators (KPIs) and present findings to stakeholders.</li><li>
Collaborate with engineering teams to enhance data collection, data quality, and data warehousing processes.</li><li>
Conduct A/B testing analysis and interpret results to inform product and marketing optimization strategies.</li><li>
Translate complex analytical results into clear, concise, and compelling narratives for non-technical audiences.</li><li>
Design and implement data models to support business intelligence and advanced analytics initiatives.</li></ul><h3 class="jobSectionHeader">
Required Qualifications</h3><ul><li>
Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.</li><li>
2+ years of professional experience as a Data Analyst or in a similar analytics-focused role.</li><li>
Proficiency in SQL for data extraction and manipulation.</li><li>
Experience with data visualization tools (e.g., Tableau, Power BI, Looker).</li><li>
Strong understanding of statistical analysis and experimental design principles.</li><li>
Excellent communication skills, both written and verbal, for effective stakeholder engagement.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Master's degree in a quantitative field.</li><li>
Proficiency in a scripting language such as Python or R for data analysis.</li><li>
Familiarity with cloud data platforms (e.g., AWS Redshift, Google BigQuery, Azure Synapse Analytics).</li><li>
Experience with machine learning concepts and applications.</li></ul> 
Experience and Skills: 
Job Benefits:<h3 class="jobSectionHeader">
What We Offer</h3><ul><li>
Competitive salary and performance-based bonuses, reflecting your valuable contributions.</li><li>
Comprehensive health, dental, and vision insurance plans, ensuring your well-being.</li><li>
Generous paid time off, including vacation, sick leave, and company holidays, promoting a healthy work-life balance.</li><li>
Opportunities for professional development, including conferences, certifications, and internal training programs.</li><li>
A vibrant and inclusive company culture that fosters collaboration, innovation, and mutual respect.</li><li>
401(k) retirement plan with company matching contributions, supporting your financial future.</li><li>
Flexible work arrangements, including hybrid remote options, to accommodate diverse needs.</li></ul> 
From: NVIDIA</div>

Heron Data

<div><h2 class="jobSectionHeader">The Opportunity</h2>
Heron builds the intelligence layer for financial operations &mdash; using AI and LLMs to automate document-heavy workflows for lenders, banks, and fintechs. Our technology turns messy, unstructured data (like PDFs, bank statements and much more) into clean, reliable insights that power billions in credit decisions.
As a Data Operations Analyst, you&rsquo;ll sit at the intersection of AI, data, and human judgment. You&rsquo;ll help ensure our systems perform at world-class accuracy, improve the feedback loops between humans and models, and build the operational foundations that allow our technology to scale.
You won&rsquo;t just process data &mdash; you&rsquo;ll help train, test, and improve the product that does.
This is a hands-on, high-impact role. You&rsquo;ll work closely with product managers, engineers, and data scientists to diagnose real-world edge cases, prototype automation ideas, and make our workflows smarter and faster.
Please note: this role starts as a 6-week contracting position, with intent to hire to a full-time employee.
<h2 class="jobSectionHeader">What You&rsquo;ll Do</h2><h3 class="jobSectionHeader">
1. Operational Intelligence</h3><ul><li>
Review and validate financial data to ensure accuracy and integrity for core AI-powered workflows.</li><li>
Diagnose complex parsing failures and uncover root causes to improve model performance.</li><li>
Help design feedback loops between Data Ops and Engineering that drive faster product iteration.</li></ul><h3 class="jobSectionHeader">
2. Product &amp; Tooling Improvement</h3><ul><li>
Partner with Product and Engineering to refine our internal Retool-based review systems.</li><li>
Test new features, prototype automation, and document improvements that reduce review time.</li><li>
Act as a first-line QA for new product launches and parsers (e.g., broker, insurance, or lending data).</li></ul><h3 class="jobSectionHeader">
3. Process Automation &amp; Efficiency</h3><ul><li>
Identify recurring manual steps and propose or build small automations to eliminate them.</li><li>
Support in designing metrics dashboards that measure SLAs, accuracy, and operational throughput.</li></ul><h3 class="jobSectionHeader">
4. Customer Impact</h3><ul><li>
Support customer success by ensuring reviewed data meets accuracy and turnaround SLAs.</li><li>
Collaborate with GTM and Product teams to surface insights from operational data that improve user experience.</li></ul><h2 class="jobSectionHeader">
What We&rsquo;re Looking For</h2><ul><li>
Analytical &amp; Curious: You&rsquo;re good at breaking down ambiguous problems and spotting patterns in data.</li><li>
Tech-Savvy: Comfortable with digital tools, automation, or low-code platforms (Retool experience a plus).</li><li>
Fast Learner: You pick up new systems quickly and enjoy figuring things out without needing detailed instructions.</li><li>
Detail-Oriented but Strategic: You care about accuracy but also about how to fix systems that break.</li><li>
Bias to Action: You don&rsquo;t just point out problems &mdash; you propose and test solutions.</li></ul>
Educational background: Finance, Economics, Engineering, Data Analytics, or similar (but we value mindset over degree).<h2 class="jobSectionHeader">
Why This Role Matters</h2><ul><li>
You&rsquo;ll directly influence the reliability and scalability of Heron&rsquo;s AI platform.</li><li>
You&rsquo;ll help teach our systems to interpret data better, faster, and more accurately.</li><li>
You&rsquo;ll act as an internal bridge between product development and customer delivery &mdash; translating what&rsquo;s happening on the ground into insights that shape product roadmap and model design.</li><li>
You&rsquo;ll gain exposure to real-world AI deployment in financial services, learning what it takes to scale automation safely.</li></ul><h2 class="jobSectionHeader">
Growth Pathways</h2>
We hire with a long-term view. Outstanding contractors and interns often convert to full-time roles, with potential growth in:<ul><li>
Product Operations or Product Management &ndash; drive feedback loops and system improvement.</li><li>
Data &amp; Quality Analytics &ndash; specialize in data accuracy, metrics, and operational insights.</li><li>
Customer Operations &amp; Strategy &ndash; focus on partner delivery, success, and scaling workflows.</li><li>
Operational Leadership &ndash; lead teams improving speed, accuracy, and automation adoption.</li></ul><h2 class="jobSectionHeader">
Why You&rsquo;ll Love Working Here</h2><ul><li>
You&rsquo;ll work on real problems, not hypothetical cases &mdash; helping make AI systems more reliable.</li><li>
You&rsquo;ll collaborate with a small, fast-moving team that values autonomy and learning.</li><li>
You&rsquo;ll see your ideas and improvements shipped into production, impacting real customers.</li><li>
You&rsquo;ll get exposure to multiple disciplines &mdash; fintech, AI, data engineering, and product design.</li></ul>
If you&rsquo;re curious, analytical, and excited to bridge the gap between technology and operations, this role is for you.</div>

Data Operations Analyst

Columbia University

<div><ul><li>Job Type: Officer of Administration</li>
<li>Bargaining Unit:</li>
<li>Regular/Temporary: Temporary</li>
<li>End Date if Temporary: 05/01/2027</li>
<li>Hours Per Week: 35</li>
<li>Standard Work Schedule:</li>
<li>Building:</li>
<li>Salary Range: $70,000 - $73,000</li>
</ul><div>The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.</div> 
<div></div>

Position Summary

The Department of Obstetrics &amp; Gynecology at Columbia University Irving Medical Center seeks a Temporary Data Analyst to support ongoing development of the genotype-phenotype repository. This position will assist with processing structured prenatal ultrasound data, generating standardized phenotype records, and supporting integration with genomic datasets for research purposes.

The Data Analyst will work closely with investigators and research staff to organize, standardize, and validate clinical and genomic data used in multi-institutional research collaborations. This role is focused on data preparation, quality control, and documentation to support genotype-phenotype research and federated data sharing initiatives.

This is a temporary position supporting an active research project.

Responsibilities

Data Processing &amp; Phenotype Standardization &ndash; 45%
<ul>
<li>Assist with extracting structured prenatal ultrasound data from system exports (JSON and HL7 formats).</li>
<li>Support mapping of clinical findings to standardized Human Phenotype Ontology (HPO) terms.</li>
<li>Generate phenopacket (v2 JSON) files using established workflows and templates.</li>
<li>Perform quality control checks to ensure accuracy and completeness of phenotype data.</li>
<li>Maintain clear documentation of data processing steps and data provenance.</li>
</ul>
Genotype-Phenotype Data Support &ndash; 25%
<ul>
<li>Assist with organizing and preparing phenotype data for integration with genomic datasets (e.g., WGS/WES data).</li>
<li>Conduct data cleaning, formatting, and validation to ensure consistency across datasets.</li>
<li>Support routine data queries and assist with basic data joins under supervision.</li>
</ul>
Federated Data Infrastructure Support &ndash; 15%
<ul>
<li>Assist with preparation and formatting of datasets for use in federated query systems.</li>
<li>Support coordination with collaborating institutions to ensure consistent data formatting and schema alignment.</li>
</ul>
Research &amp; Evaluation Support &ndash; 10%
<ul>
<li>Assist with preparing datasets for evaluation studies comparing automated and manual phenotyping methods.</li>
<li>Help prepare curated, de-identified datasets for approved AI/ML research activities.</li>
<li>Support preparation of summary reports or figures as needed.</li>
</ul>
Administrative &amp; Documentation Support &ndash; 5%
<ul>
<li>Maintain organized project files and version control records.</li>
<li>Contribute to technical documentation and standard operating procedures.</li>
<li>Participate in team meetings and provide updates on assigned tasks.</li>
<li>Perform other related duties and responsibilities as assigned/requested.</li>
</ul>
Minimum Qualifications
<ul>
<li>Bachelor&rsquo;s degree in Data Science, Computer Science, Bioinformatics, Public Health, Biology, or a related field; or equivalent combination of education and experience.</li>
<li>Experience working with structured datasets (e.g., CSV, JSON).</li>
<li>Basic programming experience in Python, R, or similar language.</li>
<li>Strong attention to detail and organizational skills.</li>
<li>Ability to follow established workflows and work collaboratively within a research team.</li>
</ul>
Preferred Qualifications
<ul>
<li>Experience working with healthcare or clinical data.</li>
<li>Familiarity with ontologies such as HPO or other standardized clinical terminologies.</li>
<li>Basic understanding of genomic data (e.g., WES/WGS).</li>
<li>Experience with data cleaning, validation, and quality assurance processes.</li>
<li>Strong written and verbal communication skills.</li></ul> 


The Department of Obstetrics and Gynecology is dedicated to the goal of building a multicultural faculty and staff committed to teaching, working and serving in a diverse community, and strongly encourages applications from candidates of traditionally underrepresented backgrounds. 
 
We are continuously seeking to recruit individuals who will enhance the diversity of our workplace and the effectiveness of our organization.

Equal Opportunity Employer / Disability / Veteran

Columbia University is committed to the hiring of qualified local residents.</div>

YipitData

<div>
 
 About Us:
 
 
 
 YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.
 
 
 Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers&mdash;ranging from the world's top investment funds to Fortune 500 companies&mdash;depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.
 
 
 We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture&mdash;recognized by
 
 Inc.
 
 as a Best Workplace for three consecutive years&mdash;emphasizes transparency, ownership, and continuous mastery.
 
 
 
 What It's Like to Work at YipitData:
 
 
 
 YipitData isn't a place for coasting&mdash;it's a launchpad for ambitious, impact-driven professionals.
 
 
 From day one, you'll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.
 
 
 Why Top Talent Chooses YipitData:
 
 
 <ul>
 <li>
 
 Ownership That Matters
 
 : You'll lead high-impact projects with real business outcomes
 </li>
 <li>
 
 Rapid Growth
 
 : We compress years of learning into months
 </li>
 <li>
 
 Merit Over Titles
 
 : Trust and responsibility are earned through execution, not tenure
 </li>
 <li>
 
 Velocity with Purpose:
 
 We move fast, support each other, and aim high&mdash;always with purpose and intention
 
 
 </li>
 </ul>
 If your ambition is matched by your work ethic&mdash;and you're hungry for a place where growth, impact, and ownership are the norm&mdash;YipitData might be the opportunity you've been waiting for.
 
 
 
 YipitData Signals:
 
 
 
 YipitData Signals is the platform we're building to help private investors see how any private company is performing, leveraging numerous proprietary spend datasets with more data on the way. We launched coverage late last year with data on 250k+ AI and Software vendors, and we're quickly scaling both the platform and the org.
 
 
 Signals is a small and scrappy team operating inside a billion-dollar company, which means you get the best of both worlds: startup speed with enterprise resources. We ship fast, iterate constantly, and wear many hats. If you thrive in environments where you can see the direct impact of your work, move from idea to execution in days (not quarters), and want to help shape a product's trajectory from the ground floor, this is the place for you.
 
 
 
 About the Role:
 
 
 
 We are looking for a Data Product Analyst to join the Signals team and help us hit our ambitious 2026 goals. This is not a role where you'll be a cog in a machine. On a small team building a product at a rapid pace, you'll operate across many surfaces: vetting new data sources, running customer-facing analysis, building product feedback loops, and designing pipeline refactors to improve accuracy. You'll be expected to ramp up fast, take ownership immediately, and operate with a high degree of autonomy. We're looking for someone with 4&ndash;6 years of experience who is eager to deepen their data analysis skill set, get direct exposure to private investor clients, and thrive in a fast-moving, high-accountability environment.
 
 
 
 As a Data Product Analyst, you will:
 
 
 
 <ul>
 <li>
 Become a core owner of Signals data products &ndash; you will help prioritize and vet new data sources and design their incorporation into our pipelines and platform
 </li>
 <li>
 Work closely with our AI and Data Engineering teams to build and maintain cutting-edge AI-tagging systems
 </li>
 <li>
 Design, maintain, and run QA processes to validate data across hundreds of thousands of vendors, proactively catching issues before they reach clients
 </li>
 <li>
 Investigate and resolve complex data quality issues independently. On a small team, there's no one to hand things off to; you own the problem through to resolution
 </li>
 <li>
 Serve as a trusted resource for internal and external stakeholders by deeply understanding client use cases and aligning them with our data methodologies, coverage, and limitations
 </li>
 <li>
 Conduct and deliver detailed analytical write-ups on specific vendors, sectors, or trends that showcase the power of Signals data and drive client engagement
 </li>
 <li>
 Collaborate cross-functionally with Engineering, Product, and Go-to-Market to ship improvements fast&mdash;whether that's adding new data to the platform, improving accuracy, or reducing data lag times
 </li>
 <li>
 Help shape the product roadmap by translating customer feedback and data quality insights into actionable improvements
 </li>
 <li>
 Proactively identify opportunities to improve efficiency, robustness, and data quality within team workflows and build AI automation where possible
 
 
 </li>
 </ul>
 
 You Are Likely To Succeed If:
 
 
 
 <ul>
 <li>
 You have 4&ndash;6 years of experience in data analytics, data operations, consulting, or a related field
 </li>
 <li>
 You have 4+ years of experience working with SQL, Python, Pyspark, or other programming languages to explore and transform large, complex datasets, and you're familiar with GitHub and Databricks
 </li>
 <li>
 You have experience using sample or panel data to make precise estimates that guide decision-making
 </li>
 <li>
 You are scrappy and resourceful&mdash;you figure things out without waiting to be told what to do
 </li>
 <li>
 You thrive in ambiguity and fast-paced environments where priorities shift, and you need to adapt quickly
 </li>
 <li>
 You have excellent attention to detail and a natural instinct for spotting data anomalies
 </li>
 <li>
 You communicate clearly and concisely&mdash;both in writing and verbally
 </li>
 <li>
 You are intellectually curious about technology markets, business trends, and care about how data is used to influence decision-making
 </li>
 <li>
 You take ownership of problems and drive them to completion without constant oversight&mdash;on a small team, self-direction is essential
 
 
 </li>
 </ul>
 
 What You'll Get:
 
 
 
 
 
 <ul>
 <li>
 An outsized role on a small, high-growth team where your contributions are immediately visible and directly tied to revenue outcomes
 </li>
 <li>
 The chance to help build a product from its early stages inside a well-funded, billion-dollar company
 </li>
 <li>
 Exposure to top-tier PE firms and hedge funds as clients
 </li>
 <li>
 Rapid professional development through breadth of responsibility
 </li>
 <li>
 A team culture that values moving fast and building something great together
 
 
 </li>
 </ul>
 
 Our compensation package includes comprehensive benefits, perks, and a competitive salary:
 
 
 
 <ul>
 <li>
 We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
 </li>
 <li>
 Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!
 </li>
 <li>
 
 The annual on-target earnings for this position is anticipated to be up to $170K annually + bonus element. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks.
 
 
 
 </li>
 </ul>
 
 This role may be performed fully remotely within the United States.
 
 Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, and Mountain View.
 
 If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.
 
 
 
 
 Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.
 
 
 
 
 We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer.
 
 
 
 Job Applicant Privacy Notice
</div>

Data Product Analyst, Signals

iHeartMedia

<div>
 iHeartMedia
 
 
 Current employees and contingent workers click here
 
 to apply and search by the Job Posting Title.
 
 
 
 The audio revolution is here &ndash; and iHeart is leading it! iHeartMedia,
 
 the number one audio company in America
 
 , reaches 90% of Americans every month -- a monthly audience that&rsquo;s
 
 twice the size of any other audio company
 
 &ndash; almost three times the size of the largest TV network &ndash; and almost 4 times the size of the largest ad-supported music streaming service. In fact, we have:
 
 
 <ul>
 <li>
 More #1 rated markets than the next two largest radio companies combined;
 </li>
 <li>
 We&rsquo;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;
 </li>
 <li>
 iHeart is the home of many of the country&rsquo;s most popular and trusted on-air personalities and podcast influencers, who build important connections with hundreds of communities across America;
 </li>
 <li>
 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;
 </li>
 <li>
 iHeartRadio is the #1 streaming radio digital service in America;
 </li>
 <li>
 Our social media footprint is 7 times larger than the next largest audio service; and
 </li>
 <li>
 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&rsquo;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.
 
 
 
 </li>
 </ul>
 Because we reach almost every community in America, we&rsquo;re committed to providing a range of programming that reflects the diversity of the many communities we serve &ndash; 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&rsquo;re excited about this role but don&rsquo;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:
 
 
 
 We&rsquo;re looking for a strong addition to our Finance team&mdash;someone who will help shape strategy, optimize revenue and costs, and enable smarter, faster decision‑making across the business. Our team drives financial insights, builds scalable tools and processes, and empowers stakeholders to operate more effectively. This role reports directly to the VP of Podcast Finance.
 
 
 
 What You'll Do:
 
 
 
 <ul>
 <li>
 Revenue Analysis: provide analytical support to iHeartMedia leadership, proactively identifying issues and developing data-driven answers.
 </li>
 <li>
 Business Reports, Solutions &amp; Tools: create Excel/SQL/Tableau reports &amp; tools to help evaluate business performance, implement initiatives, and improve operations.
 </li>
 <li>
 Processes: develop processes to streamline and optimize operations workflows
 </li>
 <li>
 Support diverse teams on data analysis.
 </li>
 <li>
 Ad hoc projects.
 
 
 
 </li>
 </ul>
 
 What You'll Need:
 
 
 
 <ul>
 <li>
 Advanced knowledge of Excel, SQL and Tableu.
 </li>
 <li>
 Strong problem solving and analytical skills.
 </li>
 <li>
 High attention to detail
 </li>
 <li>
 Intellectual curiosity with a goal of continuous improvement
 </li>
 <li>
 Ability to work independently or with diverse team members.
 </li>
 <li>
 Excellent oral and written communication skills
 </li>
 <li>
 Ability to learn new systems and processes quickly.
 
 
 
 </li>
 </ul>
 
 What You'll Bring:
 
 
 
 <ul>
 <li>
 Respect for others and a strong belief that others should do this in return
 </li>
 <li>
 Accountability for own work and desire to provide guidance to new team members
 </li>
 <li>
 Ability to contribute to several projects at the same time under a moderate level of direction
 </li>
 <li>
 Application of objective judgement, technical skills and prior experience to solve business problems
 </li>
 <li>
 Strong written and verbal communication skills, including a knack for explaining complex information in a straightforward manner
 </li>
 <li>
 Desire for continued knowledge sharing and learning
 </li>
 <li>
 Understanding of impact of own decisions
 
 
 
 </li>
 </ul>
 
 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.
 
 
 $80,000 - $100,000
 
 
 
 Location:
 
 
 
 New York, NY: 125 West 55th Street, 10019
 
 
 
 Position Type:
 
 
 
 Regular
 
 
 
 Time Type:
 
 
 
 Full time
 
 
 
 Pay Type:
 
 
 
 Salaried
 
 
 
 Benefits:
 
 
 
 iHeartMedia&rsquo;s benefits offering is flexible and offers a variety of choices to meet the diverse needs of our changing workforce, including the following:
 
 
 <ul>
 <li>
 Employer sponsored medical, dental and vision with a variety of coverage options
 </li>
 <li>
 Company provided and supplemental life insurance
 </li>
 <li>
 Paid vacation and sick time
 </li>
 <li>
 Paid company holidays
 </li>
 <li>
 A Spirit day to encourage and allow our employees to more easily volunteer in their community
 </li>
 <li>
 A 401K plan
 </li>
 <li>
 Employee Assistance Program (EAP) at no cost &ndash; services include telephonic counseling sessions, consultation on legal and financial matters, emotional well-being, family and caregiving
 </li>
 <li>
 A range of additional voluntary programs, such as spending accounts, student loan refinancing, accident insurance and more!
 
 
 
 </li>
 </ul>
 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.
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O2 Technologies,Inc

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 Data analysis using Python, SQL, and Power BI for reporting, dashboards, and data insights
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 Prior work experience in Utility and Energy industry data analytics, KPI tracking, and operational data analysis
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 Data extraction, transformation, visualization, and stakeholder reporting to support business decisions
 
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 #CareerOpportunities #JobVacancy #WorkWithUs
 
 
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