data scientist

data analyst

data engineer

financial analyst

senior data engineer

business data analyst

Digitas North America

<div>
 
 Company Description
 
 
 
 Digitas is the Networked Experience Agency, built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks. Today, and tomorrow. We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences, Integrated Media, Addressable Relationships, Social Marketing and Total Commerce. Celebrated by AdAge as Data and Insights Agency of the Year, U.S Campaign&rsquo;s Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the world&rsquo;s leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries.
 
 
 The Digitas culture is made up of fearless, inventive and generous Unicorns of all kinds.
 
 
 
 Overview
 
 
 
 
 Analyst, Data and Analysis
 
 
 
 The Data &amp; Analysis team uses data-driven insights to fuel strategic growth for clients. We believe that data should never exist in a vacuum; instead, it should be put to work to bring the best ideas and stories to our clients.
 
 
 To help with this, we&rsquo;re looking for an outstanding Analyst &ndash; someone who has a knack for understanding data and telling the story of why it matters. You&rsquo;ll learn from the best in the business as you work with the team to bring actionable insights to our clients. Up for it? Read on.
 
 
 As an Analyst, you&rsquo;ll lay the groundwork and contribute to day-to-day reporting needs for client marketing efforts. You&rsquo;ll work on brand campaigns, acquisition campaigns, site optimization, and/or online testing strategy.
 
 
 
 Day-to-day, Your Role Includes
 
 
 
 <ul>
 <li>
 Keeping a pulse on day-to-day performance data, including display media, site, search, email, and/or social campaigns
 </li>
 <li>
 Working in a variety of reporting systems and databases for the creation of recurring reports and dashboards
 </li>
 <li>
 Identifying nuances in data to optimize our clients&rsquo; business
 </li>
 <li>
 Supporting marketing initiatives across project and campaign lifecycles, including measurement plans, primary and secondary research, and performance reporting
 </li>
 <li>
 Expanding industry knowledge and relevant skillsets through internal training
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 We&rsquo;re looking for strong, impactful work experience, which typically includes:
 
 
 
 <ul>
 <li>
 1-3 years of work experience in a relevant industry
 </li>
 <li>
 A four-year college degree
 </li>
 <li>
 Passion for digital marketing, eagerness to learn in a constantly-changing space, and a natural curiosity
 </li>
 <li>
 Familiarity with Excel and/or other data analysis tools such as SQL or Tableau a plus
 </li>
 <li>
 Comfortable in a fast-paced and deadline-driven environment
 </li>
 <li>
 Familiarity with prompt-based interaction and commonly used generative AI tools (e.g., ChatGPT, Google Gemini, DALL&middot;E, Midjourney) is a plus, especially for tasks like ideation, research, or content generation.
 
 
 </li>
 </ul>
 Got the sparkle? Apply if you believe your unique skills are a fit. We&rsquo;d love to hear from you!
 
 
 2026-146472
 
 
 
 Additional Information
 
 
 
 Digitas is an equal opportunity employer. All your information will be kept confidential according to EEO guidelines.
 
 
 If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com.
 
 
 Compensation Range: $55,765 - $85,878 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 6/1/2026.
</div>

Analyst, Data and Analysis

Lockheed Martin

<div>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Demonstrated Data Analysis Skills
 </li>
 <li>
 Logical Process and coding experience within SQL, Python, Jira
 </li>
 <li>
 Strong organizational and communication skills
 </li>
 <li>
 Must have good communication skills and be able to work effectively in a cross functional manufacturing team environment in translating functional process into analytics insights
 
 
 </li>
 </ul>
 Please Note: This position requires a government security clearance, you must be a US Citizen for consideration.
 
 
 
 Job Description
 
 
 
 
 WHAT WE&rsquo;RE DOING
 
 
 
 At Lockheed Martin Rotary and Mission Systems, we're on a mission to drive innovation and uphold the highest standards of business ethics. We believe that by pushing the boundaries of visionary thinking, we can achieve exceptional results. As a Lockheed Martin employee, you'll have the opportunity to make a meaningful impact while working in an environment that values integrity and excellence.
 
 
 
 THE WORK
 
 
 
 Join the Operations Team! We are looking for a talented and motivated Data Analyst to join our growing team. As a Data Analyst you will have the opportunity to work on exciting projects, collaborate with a diverse and talented group of individuals, and contribute to the development of innovative solutions.
 
 
 
 In This Role You Will
 
 
 
 <ul>
 <li>
 Engage with Manufacturing Floor support personnel to develop, implement, and maintain various analytical solutions across Moorestown Operations.
 </li>
 <li>
 Other responsibilities will include assisting in use and development of manufacturing analytics on site and across the line of business.
 </li>
 <li>
 Work with Enterprise-wide analysts to learn, maintain, and develop best practices in analytics and data governance.
 
 
 </li>
 </ul>
 Please Note: This position requires a government security clearance, you must be a US Citizen for consideration.
 
 
 
 Who We Are
 
 
 
 Our customers are world-wide and so is our reputation for creating innovative solutions with the latest technologies. Our products keep our customers safe and bring them home to their families at night.
 
 
 We provide the resources, inspiration, and focus - if you have the resourcefulness and courage to work hard, then we want to build a better tomorrow with you.
 
 
 
 Who You Are
 
 
 
 You possess technical proficiency with tools, embrace a continuous learning mindset, communicate effectively, are able to collaborate with others, and are curious and proactive in seeking clarity. You should be able to explain complex findings in a clear and understandable manner to both technical and non-technical stakeholders.
 
 
 
 A level 3 employee is typically mid-career and has around 3+ years of experience.
 
 
 
 
 WHY JOIN US
 
 
 
 
 Your Health, Your Wealth, Your Life
 
 
 
 Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work.
 
 
 
 Desired Skills
 
 
 
 Learn more about Lockheed Martin's Comprehensive benefits package
 
 
 <ul>
 <li>
 Tableau
 </li>
 <li>
 Alteryx
 </li>
 <li>
 SAP
 </li>
 <li>
 Kinaxis
 </li>
 <li>
 Apriso
 </li>
 <li>
 Microsoft Power Applications
 </li>
 <li>
 Manufacturing Floor or factory/Shop Operations experience
 
 
 </li>
 </ul>
 
 Other Important Information
 
 
 
 By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.
 
 
 
 Ability to work remotely
 
 
 
 Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.
</div>

Data Analyst - Mid-Career

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

Rhino + Jetty

<div>
 Rhino + Jetty is making housing more affordable and accessible for millions of renters each year. We&rsquo;re the market-leading rental housing platform building simpler, more accessible ways for people to move into homes &mdash; and for property managers to lease with confidence.
 
 
 Our technology removes friction from the move-in process, lowers upfront costs for renters, and helps property managers make faster, more accurate decisions. We support a network of 3 million rental units nationwide and work with 47 of the NMHC Top 100 property owners, including Greystar, Brookfield, Asset Living, UDR, and more.
 
 
 We pioneered security deposit insurance and continue to push the industry forward with a growing suite of products &mdash; from deposit management to lease guarantees and loss-of-employment protection. We&rsquo;re growing quickly, tackling real problems at scale, and building technology that&rsquo;s changing how renting works.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Build and maintain reporting frameworks and dashboards that support both internal performance tracking and external partner-facing analytics, ensuring data accuracy and consistency across reporting surfaces
 </li>
 <li>
 Work closely with product, revenue, operations, and finance teams to pull together insights on unit economics, conversion funnels, and customer lifetime value
 </li>
 <li>
 Execute analyses (cohort studies, trend analyses, A/B test readouts) to measure product performance, pricing impact, and partner outcomes, with guidance on prioritization from your manager
 </li>
 <li>
 Support the data pipeline from raw data to stakeholder-ready insight &mdash; including data validation, QA, and documentation of reporting methodologies
 </li>
 <li>
 Share insights across teams, helping connect the dots between what different functions are seeing in the data
 </li>
 <li>
 Surface findings and recommendations that inform product and commercial decisions &mdash; you won't just run reports, you'll have a voice in what the data means
 </li>
 <li>
 Dig into messy data, identify patterns, and move quickly from question to insight to recommendation
 
 
 </li>
 </ul>
 
 We're Ideally Seeking
 
 
 
 <ul>
 <li>
 Fast to first insight &mdash; you get to a useful answer quickly, then decide whether to go deeper based on what the business needs
 </li>
 <li>
 Exposure to growth metrics, funnel analysis, LTV modeling, retention analysis, or operational performance reporting
 </li>
 <li>
 Interest in connecting analytical work to business decisions &mdash; you may be early in building this muscle, but you're curious about the "so what" behind the numbers
 </li>
 <li>
 2&ndash;4 years of experience in a data analytics, business intelligence, or quantitative role
 </li>
 <li>
 Strong SQL skills and experience building reports or dashboards (e.g., Looker, Tableau, Mode, or similar BI tools)
 </li>
 <li>
 Familiarity with statistical concepts &mdash; hypothesis testing, regression, segmentation &mdash; and a sense for when rigor matters vs. when directional is enough
 </li>
 <li>
 Ability to manage competing priorities across workstreams while keeping your manager in the loop on tradeoffs
 </li>
 <li>
 Comfort in a fast-paced, execution-heavy environment where you'll spend most of your time building and delivering, with growing opportunities to shape the questions we ask and the decisions we make
 </li>
 <li>
 Comfortable with AI and automation as part of how you work &mdash; you've used AI tools to move faster, reduce repetitive work, or build something on your own
 
 
 </li>
 </ul>
 
 Compensation &amp; Benefits
 
 
 
 Base Salary Range: $80,000 - $95,000
 
 
 Rhino + Jetty has partnered with a number of compensation benchmarking tools to determine competitive and fair market pay bands for our size and stage. Our goal is to ensure each employee is paid equitably and competitively while also maintaining a consistent and standardized methodology.
 
 
 Individual pay decisions are based on a number of factors including qualifications for the role, experience level and balancing internal equity relative to other teammates.
 
 
 Base Salary Is Just One Part Of Our Total Rewards Package Here At R + J. In Connection With This Position, We Also Offer
 
 
 <ul>
 <li>
 Competitive cash compensation package including base salary, milestone based bonus, and other financial perks
 </li>
 <li>
 Medical, Dental, and Vision coverage (up to 90% employer contribution) - eligible from your start date
 </li>
 <li>
 401(k), HSA, Life &amp; Disability Insurance Coverage ($0 employee contribution for additional insurances)
 </li>
 <li>
 Unlimited PTO Policy
 </li>
 <li>
 Generous Paid Parental Leave
 </li>
 <li>
 Stock option plan to give our employees a direct stake in R + J's success
 </li>
 <li>
 Remote-first work culture with opportunities to collaborate as a team in person
 </li>
 <li>
 Monthly lifestyle stipend to fit your needs (meals, wellness, co-working)
 </li>
 </ul>
</div>

Data Analyst - Performance & Partner Reporting

Roku

<div>
 
 Teamwork makes the stream work.
 
 
 
 
 
 
 Roku is changing how the world watches TV
 
 
 
 Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
 
 
 From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
 
 
 
 
 
 
 
 
 
 About the team
 
 
 
 The Core Analytics Team is a centralized function dedicated to providing data-driven insights to drive business and product success. We work closely with our Product, Engineering, and Marketing teams to deliver exceptional experiences to our customers while maximizing the value proposition for the business.
 
 
 
 
 
 
 
 
 
 About the role
 
 
 
 Roku is looking for a Data Scientist to join the Core Analytics team and provide support for our Customer Intelligence function, part of the broader Planning &amp; Optimization team. Together, we answer high-impact business questions from senior leaders with clear, decision-ready insights. You&rsquo;ll work on customer analytics that directly shape how Roku grows engagement, retention and monetization across the streaming ecosystem, with visibility to cross-functional leaders and meaningful ownership over high-impact questions.
 
 
 
 
 
 This role is more than analytics and is intentionally &ldquo;business-forward&rdquo;. We're looking for someone who can translate customer behavior into metrics and narratives which can help define our customer strategy, and/or measure the impact of initiatives on customer behavior. You&rsquo;ll be expected to translate ambiguous stakeholder needs into strong analytical narratives and executive-ready deliverables. Familiarity with causal inference/experimentation is important; deep specialization is a plus but not required. This is a hybrid role with four days per week in the office, Monday through Thursday. The selected candidate will be based out of NYC.
 
 
 For New York Only - The estimated annual salary for this position is between $135,000-$153,000 annually.
 
 
 
 
 
 Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
 
 
 
 
 
 
 
 
 
 What you'll be doing
 
 
 <ul>
 <li>
 Own end-to-end analyses: scope the question, define success metrics, pull data, analyze, synthesize, and deliver data-driven narratives.
 </li>
 <li>
 Drive stakeholder alignment: clarify objectives, assumptions, tradeoffs, and decision points; ensure outputs are usable.
 </li>
 <li>
 Build crisp storytelling &amp; presentations: create executive-ready readouts (slides, memos) with clear &ldquo;so what / now what.&rdquo;
 </li>
 <li>
 Develop SQL and Python-based workflows: write and review SQL/Python code to create datasets, compute KPIs, and validate results; use Airflow to maintain and build new pipelines when needed.
 </li>
 <li>
 Create reporting in Tableau/Looker: develop dashboards or recurring scorecards that make performance tracking easier and reduce ad-hoc churn.
 </li>
 <li>
 Measurement &amp; causal thinking: apply or partner on quasi-experimental approaches (e.g., diff-in-diff, propensity matching, synthetic controls) with appropriate caveats to address incrementality questions.
 </li>
 <li>
 Raise analytical quality: ensure statistical rigor, bias awareness, and clear limitations.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 We're excited if you have
 
 
 <ul>
 <li>
 3+ years (or equivalent) in analytics/data science roles driving business decisions (tech, media, marketplaces, consumer products, etc.).
 </li>
 <li>
 Strong SQL (joins, window functions, building analysis-ready tables, QA/validation).
 </li>
 <li>
 Proficiency in Excel to work with data, tables and visualization.
 </li>
 <li>
 Strong ability to communicate insights: structured thinking, clear writing, confident presenting to non-technical and executive audiences.
 </li>
 <li>
 Solid foundation in statistics (hypothesis testing, confidence intervals, regression basics).
 </li>
 <li>
 Experienced with Python for analysis and data pipeline production (via Airflow).
 </li>
 <li>
 Hands-on experience with visualization tools like Tableau or Looker
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Our Hybrid Work Approach
 
 
 
 Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
 
 
 
 
 
 
 
 
 
 Benefits
 
 
 
 Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
 
 
 
 
 
 
 
 
 
 Accommodations
 
 
 
 Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
 
 
 
 
 
 
 
 
 
 The Roku Culture
 
 
 
 Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
 
 
 We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
 
 
 To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
 
 
 
 
 
 By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
 
</div>

Data Scientist

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

Bank of America

<div>Job Description:
The Telecommunications Services, Communications Infrastructure and Communications Software team currently covers 23-listed companies across subsectors and adjacencies including large cap telecommunications, AI and wireless infrastructure and emerging communications software companies. In addition to coverage of publicly traded companies, the team regularly vets a number of private companies for potential IPOs.
The candidate for the position should be intellectually curious and have a deep desire to learn. The candidate should also have some experience with financial modeling and quantitative analysis, as well as strong verbal communication and writing skills. The ideal candidate possesses experience in telecommunications/technology research. Further, the candidate should possess experience with company modeling and have a passion for following the stock market.
The candidate will work alongside their Senior Analyst and Junior Analyst peers in all aspects, from idea generation to company meetings, including but not limited to the following:<ul><li>
Perform complex financial modeling &amp; valuation work</li><li>
Write regular industry and company reports and company launch initiations from scratch</li><li>
Develop databases integral to our research product</li><li>
Demonstrate strong industry knowledge and business judgment</li><li>
Work with Senior Analyst to develop key industry themes</li><li>
Build relationships and facilitate information flow with contacts at covered companies</li><li>
Participate and contribute to client meetings and events</li><li>
Attend meetings and interact with key opinion leaders</li><li>
Closely follow and understand market, industry and company specific activity, and relay to analyst when traveling</li><li>
Seek out new, value-added, and/or unusual sources of information</li><li>
Leverage our robust network of industry contacts</li><li>
Interact regularly with clients</li></ul>
Responsibilities:<ul><li>
Conducts analysis of financial data, news, and other information to identify opportunities and risks related to companies, industries, or financial instruments</li><li>
Attends to day-to-day sales, trading, and hedging transaction needs, responding to client inquiries, logs, and records data</li><li>
Leads and/or supports the preparation of associated financial models and written reports, which can be complex and quantitative in nature</li></ul>
Qualifications:<ul><li>
Bachelor&rsquo;s Degree or equivalent years of experience (business, economics or accounting degree preferred)</li><li>
2+ years of experience in investment banking and/or research (equity or credit, sell-side or buy-side)</li><li>
Strong writing and spreadsheet skills. Must be an expert at MS Word and MS Excel</li><li>
Along with Finance and Accounting financial modeling skills, should have strong understanding of economics, macroeconomic factors, regulatory and emerging technology trends.</li><li>
Must have strong attention to detail, ability to multi-task, and a strong work ethic</li></ul>
Shift:
1st shift (United States of America)
Hours Per Week:
40</div>

Analyst/Associate: Equity Research â€“ Telecommunication, Comm Infrastructure and Comm Software

Explore 912+ Business data analyst in New York this April. Find roles across top companies and apply now to boost your career.