associate digital finance transformation data scientist private equity performance improvement open to all us locations

Alvarez & Marsal

<div></div><div><div><div>Location: Los Angeles, CA, United States 
Date Posted: Feb 28, 2026</div><div><div> 
</div></div></div><div>Description
Digital Finance Transformation - Data Scientist: Associate &ndash; Private Equity Performance Improvement
About Alvarez &amp; Marsal
Alvarez &amp; Marsal (A&amp;M) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work&mdash;guided by A&amp;M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity&mdash;are why our people love working at A&amp;M.
The Team
A&amp;M&rsquo;s Private Equity Performance Improvement Services (PEPI) practice works with private equity held portfolio companies and provides our clients with solutions to preserve and generate value for their businesses. Our goal is to improve transparency to key drivers and business performance, to support increasing cash and EBITDA, and to provide benefits through hands-on involvement in our clients&rsquo; operations. Our job is to support PE firms to ensure their portfolio companies have credible plans and the ability to execute and deliver financial outcomes.
Our PEPI CFO Services practice includes the following pillar of services:<ul><li>
Strategic Finance and Liquidity Management</li><li>
Accounting Advisory and Financial Reporting Solutions</li><li>
Working Capital Optimization</li><li>
Digital Finance Transformation</li><li>
Interim Management</li></ul>
How you will contribute
We are seeking an Associate or Senior Associate to join our Digital Finance Transformation team within PEPI. This role focuses on helping private equity portfolio companies accelerate digital enablement within the finance function&mdash;modernizing data environments, automating processes, and building analytics-driven tools that create measurable business impact.
The ideal candidate blends strong technical expertise in Python, SQL, and modern data platforms with a solid understanding of finance and accounting operations. You will work directly with CFOs, Controllers, and FP&amp;A leaders to design, implement, and operationalize digital solutions that improve performance, transparency, and scalability.
Qualifications<ul><li>
3-6 plus years of professional experience; consulting or professional services experience preferred.</li><li>
Advanced Python programming experience, including familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>
Strong SQL skills and experience with modern data platforms (Snowflake, Databricks, Azure Synapse, Microsoft Fabric).</li><li>
Experience with ETL/orchestration tools (Dagster, Temporal, Azure Data Factory, AWS Glue, Fivetran, Matillion).</li><li>
Demonstrated ability to develop lightweight finance applications using Streamlit or Retool.</li><li>
Solid understanding of finance and accounting concepts, including forecasting, working capital management, and three-statement modeling.</li><li>
Exceptional communication and collaboration skills; proven ability to translate between finance and technology teams.</li><li>
Ability to travel as required</li></ul>
#LI-LS1
Your journey at A&amp;M
We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person&rsquo;s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.
We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&amp;M. The possibilities are endless for high-performing and passionate professionals.
The salary range is $90,000-$130,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&amp;M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance. Please ask your recruiter for details.
Alvarez &amp; Marsal recruits on an ongoing basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) that they are qualified for and that are of interest to them.
Full-time Positions and Part-time Positions Over 30 hours
Regular employees working 30 or more hours per week are also entitled to participate in Alvarez &amp; Marsal Holdings&rsquo; fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&amp;D, and disability coverages at rates determined periodically as well as a 401(k) retirement savings plan. Provided the eligibility requirements are met, employees will also receive an annual discretionary contribution to their 401(k) retirement savings plan from Alvarez &amp; Marsal. Additionally, employees are eligible for paid time off including vacation, personal days, seventy-two (72) hours of sick time (prorated for part time employees), ten federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type.
Inclusive Diversity
A&amp;M&rsquo;s entrepreneurial culture celebrates independent thinkers and doers who can positively impact our clients and shape our industry. The collaborative environment and engaging work&mdash;guided by A&amp;M&rsquo;s core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity&mdash;are the main reasons our people love working at A&amp;M. Inclusive Diversity means we embrace diversity, and we foster inclusiveness, encouraging everyone to bring their whole self to work each day. It runs through how we recruit, develop employees, conduct business, support clients, and partner with vendors. It is the A&amp;M way.
Equal Opportunity Employer
It is Alvarez &amp; Marsal&rsquo;s practice to provide and promote equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination because of race, color, creed, religion, national origin, ancestry, citizenship status, sex or gender, gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, family medical history, genetic information or other protected medical condition, political affiliation, or any other characteristic protected by and in accordance with applicable laws. Employees and Applicants can find A&amp;M policy statements and additional information by region here.
Unsolicited Resumes from Third-Party Recruiters
Please note that as per A&amp;M policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that A&amp;M will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.
</div><div><h2 class="jobSectionHeader">Inclusive Diversity</h2>
A&amp;M&rsquo;s entrepreneurial culture celebrates independent thinkers and doers who can positively impact our clients and shape our industry. The collaborative environment and engaging work&mdash;guided by A&amp;M&rsquo;s core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity&mdash;are the main reasons our people love working at A&amp;M. Inclusive Diversity means we embrace diversity, and we foster inclusiveness, encouraging everyone to bring their whole self to work each day. It runs through how we recruit, develop employees, conduct business, support clients, and partner with vendors. It is the A&amp;M way.
<h2 class="jobSectionHeader">Equal Opportunity Employer</h2>
It is Alvarez &amp; Marsal&rsquo;s practice to provide and promote equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination because of race, color, creed, religion, national origin, ancestry, citizenship status, sex or gender, gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, family medical history, genetic information or other protected medical condition, political affiliation, or any other characteristic protected by and in accordance with applicable laws. .
<h2 class="jobSectionHeader">Unsolicited Resumes from Third-Party Recruiters</h2>
Please note that as per A&amp;M policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that A&amp;M will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.</div></div>

Associate, Digital Finance Transformation - Data Scientist - Private Equity Performance Improvement (OPEN TO ALL US LOCATIONS)

Data Scientist, Product Analytics

Consensus Cloud Solutions

<div><div>Consensus Cloud Solutions is a publicly traded, leading digital cloud fax and interoperability solutions organization in the United States and globally, focusing on connecting and empowering healthcare providers, payers, care teams, and technology innovators to unify multiple systems that wouldn't otherwise talk to each other. Consensus is a trailblazer in our industry and believes that data transformation will reshape the world of healthcare.

Founded over 25 years ago, Consensus leverages its technology heritage to move from simple digital documents to advanced healthcare standards (HL7/FHIR) for secure data transport, as well as Natural Language Processing (NLP) and Artificial Intelligence (AI) to convert unstructured to structured, analytics-ready data, helping users unveil information that is meaningful and actionable for better patient care.
Consensus leads the industry in data exchange solutions and we're only getting started! With exciting new initiatives on the horizon, we are continuing our strategic expansion and we are looking to add to our diverse team of innovators.

Now is the ideal time to join us in our mission to solve healthcare's biggest challenges, and work collaboratively with a diverse team of like-minded self-starters and partners to accomplish it.

Consensus Cloud Solutions is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive and equitable environment for all employees. We offer many remote and hybrid career opportunities.</div>
How you will impact the organization&hellip;

The Senior Data Engineer will be responsible for designing and building the infrastructure to aggregate data from multiple sources for reporting and analytics. The role involves designing, developing and maintaining a robust data infrastructure to support data-driven decisions. Supporting the finance team, this position will lead the development of scalable data processing pipelines and building data sets from unstructured data. This position will manage all aspects of the data and analytics systems from stream configuration to ETL/ELT to aggregate tables and cubes for reporting and analytical needs. Serving as a player/coach, leading and mentoring a team of data professionals by providing guidance and support to achieve objectives. 


The value you will deliver&hellip;
<ul>
<li>The role involves designing, developing and maintaining a robust data infrastructure to support data-driven decisions.</li>
<li>Supporting the finance team, this position will lead the development of scalable data processing pipelines and building data sets from unstructured data.</li>
<li>This position will manage all aspects of the data and analytics systems from stream configuration to ETL/ELT to aggregate tables and cubes for reporting and analytical needs.</li>
<li>Serving as a player/coach, leading and mentoring a team of data professionals by providing guidance and support to achieve objectives.</li>
<li>Perform data analysis.</li>
<li>Perform other duties and responsibilities as required, assigned, or requested. Consensus reserves the right to add or change duties at any time.</li></ul> 


What you will bring to the table&hellip;
<ul>
<li>5+ years of experience in data engineering, backend infrastructure or software development.</li>
<li>Familiarity with semantic layers in data architecture.</li>
<li>Cloud and data stack familiarity: Azure, Google and AWS.</li>
<li>Experience with ETL/ELT design and development, and OLAP tools to support business applications.</li>
<li>Acquiring and preparing data from disparate sources.</li>
<li>Data quality management.</li>
<li>Expertise with API design, build, implementation and maintenance.</li>
<li>Building and maintaining data lakes/lakehouses and ingestion pipelines (files, CDC, streaming).</li>
<li>Practical experience in data governance (policies, standards, stewardship, DQ rules, issue management).</li>
<li>Strong change management record (training, communications, adoption, stakeholder alignment).</li>
<li>Comprehend core business and financial concepts, including financial statements and SaaS KPIs.</li>
<li>Ability to successfully work independently and collaborate interdepartmentally.</li>
<li>Cross-functional leadership and influencing skills.</li>
<li>Strategic vision with operational execution discipline.</li>
<li>Strong problem-solving and critical thinking skills.</li>
<li>In-depth knowledge of data architecture, including data modeling, warehousing principles, and the development of efficient data transformation pipelines.</li>
<li>Expertise in designing and deploying scalable data solutions using SQL and Python, with a focus on data transformation, automation and analytics.</li>
<li>Extensive experience with modern data platforms and tools, particularly Databricks and Airflow, with a demonstrated ability to harness their full capabilities.</li>
<li>Knowledge of standard engineering productivity tools such as Github, JIRA, Confluence, etc.</li>
<li>Data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).</li>
<li>Experience with scheduling tools (e.g., Airflow or Composer).</li>
<li>BI tools Tableau and PowerBI.</li>
<li>Automate manual processes, monitor system performance, troubleshoot issues, and continually optimize data infrastructure for efficiency and reliability.</li>
<li>Using AI to facilitate automated pipeline creation, data cleaning and monitoring to scale and optimize processes.</li></ul> 


You will stand out if you also have&hellip;
<ul>
<li>Bachelor's degree in Computer Science, Engineering or a Quantitative related field.</li></ul> 


Additional details&hellip;
<ul>
<li>Location requirements: Fully remote within the U.S. (Los Angeles or Las Vegas preferred.)</li>
<li>Travel requirements: Up to 10% travel.</li>
<li>Physical requirements: Must be able to sit for long periods, as well as, handle long periods of screen time.</li>
<li>Technology requirements: Reliable, high speed internet.</li>
<li>Eligible for sponsorship: No</li></ul> 
The salary range for this role is $175,000-$190,000 USD annually. The total compensation package for this position is negotiable and may also include annual performance bonus, ESPP, enhanced time off packages and benefits. This job doesn't have an expiration date and will remain open until a qualified candidate is hired.<div>
We are not accepting agency submissions for this role.

To learn more about us visit consensus.com</div></div>

Senior Data Engineer- Finance

Create Music Group

<div>Established in 2015, Create Music Group is a leading music and entertainment company. The company operates as a record label, distribution company, and entertainment network which generates over 15 billion music streams each month on DSP&rsquo;s. Named #2 on the Inc 5000 Fastest Growth Companies in America in 2020, the company has grown exponentially by leveraging its owned IP with its media and technology platform. The company works with superstar artists, major and independent record labels, and global media brands. It operates a number of companies including Label Engine, one of the largest independent music distribution platforms in the world, with over 75,000 artists and 5,000 label clients; and Flighthouse, a digital entertainment brand focused on Gen Z, which has more than 300 million followers across social media. Create Music Group is based in Hollywood, CA and has 400 employees worldwide. 
Job Summary
We are building CreateOS &mdash; a next-generation operating system for modern record labels &mdash; and AI is at the center of it. As a Machine Learning Engineer, you will be a core builder on the team responsible for designing, training, deploying, and maintaining the ML systems that power intelligent automation, forecasting, anomaly detection, and agentic workflows across the platform.
This is a hands-on engineering role for someone who is equally comfortable prototyping a new model and shipping it to production. You will work directly with the VP of AI &amp; ML Engineering and partner closely with Data Engineering, Analytics, and Product to move AI from experimentation into reliable, scalable production systems embedded in real user workflows.
Your immediate impact will be on three of CMG's highest-priority AI initiatives: M&amp;A catalog valuation forecasting, AI-driven A&amp;R discovery, and marketing automation agents &mdash; each directly tied to revenue growth and competitive differentiation. 
Responsibilities
Applied Machine Learning<ul><li>
Build and maintain ML models for forecasting, anomaly detection, classification, ranking, and optimization across music industry use cases (catalog valuation, royalty reasoning, A&amp;R intelligence, marketing performance, etc.)</li><li>
Partner with Analytics &amp; BI to identify, engineer, and validate features that drive meaningful predictive power</li><li>
Own the full ML lifecycle &mdash; from problem framing and data exploration through training, evaluation, deployment, and monitoring</li></ul>
MLOps &amp; Production Engineering<ul><li>
Deploy and monitor models in production using modern MLOps tooling</li><li>
Instrument models for performance tracking, drift detection, and continuous improvement</li><li>
Implement CI/CD, automated testing, model versioning, and observability for all ML systems</li><li>
Collaborate with Data Engineering to ensure data quality, feature delivery, and pipeline reliability</li></ul>
Agentic AI &amp; LLM Systems (Stretch)<ul><li>
Develop and maintain modular AI agents that automate multi-step workflows across CreateOS (contracts, accounting, distribution, metadata)</li><li>
Build and iterate on RAG pipelines, retrieval architectures, and semantic search systems grounded in structured business data</li><li>
Implement guardrails, evaluation frameworks, and safe action boundaries for agentic systems</li></ul>
Collaboration &amp; Communication<ul><li>
Translate business problems from non-technical stakeholders into well-scoped ML solutions</li><li>
Document model design decisions, evaluation results, and known limitations clearly</li><li>
Contribute to a culture of engineering rigor and responsible AI development</li><li>
Other duties as assigned</li></ul>
Qualifications<ul><li>
2+ years of software engineering experience in a production environment, with exposure to ML or data science work (academic, professional, or project-based); OR 2+ years of experience specifically as an ML Engineer or Applied Data Scientist</li><li>
Strong proficiency in Python and ML frameworks (PyTorch, scikit-learn, XGBoost, or similar)</li><li>
Hands-on experience building, deploying, and monitoring models in cloud environments &mdash; GCP strongly preferred (AWS or Azure acceptable); familiarity with services such as Vertex AI, BigQuery, Cloud Functions, and Cloud Run is a strong plus</li><li>
Solid understanding of modern ML techniques &mdash; supervised/unsupervised learning, time series forecasting, embeddings, ranking &mdash; and their mathematical foundations</li><li>
Experience with LLMs and prompt engineering, including building RAG systems or LLM-powered features</li><li>
Comfortable working with structured and unstructured data at scale</li><li>
Strong communication skills with the ability to explain complex model behavior to non-technical audiences</li></ul>
Preferred Qualifications<ul><li>
MS in Machine Learning, Data Science, Business Analytics, Computer Science, Statistics, or a related quantitative field &mdash; candidates using this role as their entry point into ML engineering are encouraged to apply; OR 2+ years of experience as an ML Engineer or Applied Data Scientist in lieu of an advanced degree</li><li>
Experience at a startup or high-growth technology company where you owned features end-to-end</li><li>
Familiarity with agentic frameworks (LangChain, LangGraph, AutoGen, or similar)</li><li>
Background in music, media, entertainment, or rights/royalties data</li><li>
Experience with ontology design, knowledge graphs, or semantic data modeling</li><li>
Contributions to open-source ML projects or published research</li><li>
Familiarity with AI evaluation practices &mdash; hallucination detection, bias auditing, model explainability</li></ul>
Pay Scale<ul><li>
$160,000 - $200,000 per year</li><li>
The final compensation within this range will be determined based on the candidate&rsquo;s experience, skills, and overall fit for the role.</li></ul> 
Fair Chance Policy
In accordance with the Los Angeles County Fair Chance Ordinance, we will consider employment for qualified applicants with criminal histories. We evaluate candidates based on their qualifications and the nature of the offense in relation to the job for which they are applying.</div>

Machine Learning Engineer

The Flex Co.

<div>
 Flex is a modern period care brand in hyper-growth mode: design-driven, culture-forward, and revolutionizing the way people experience their periods. We focus relentlessly on understanding our customers and creating body-safe, medical-grade products that truly perform, bringing those truths to life through authentic, human-centered storytelling.
 
 
 We&rsquo;re looking for a performance-minded, creatively curious Associate Manager, Creator &amp; Digital Marketing to support the execution and evolution of Flex&rsquo;s UGC growth engine across paid and organic channels. Reporting to the Content Strategy Manager and Director of Marketing, the Associate Manager, Creator &amp; Digital Marketing will play a key role in executing UGC-first creative: from creator sourcing and briefing&hellip; through testing, iteration, and performance analysis. This work will directly contribute to efforts to improve conversion, reduce CAC, and increase creative velocity.
 
 
 This is a highly cross-functional role, partnering closely with Marketing, Creative, and Revenue to ensure all content is both brand-aligned and performance-driven, while continuously learning and contributing insights around which creators, messages, hooks, and formats unlock scale across our omni-channel business.
 
 
 This role is remote-flexible; candidates based near our Venice, CA headquarters are a plus.
 
 
 Salary range: $80,000 - $90,000 per year, commensurate with experience and equity stock options
 
 
 
 Responsibilities
 
 
 
 Manage the UGC Growth Pipeline
 
 
 <ul>
 <li>
 Support creator sourcing, briefing, gifting, contracting, testing, and iteration across paid and organic channels
 </li>
 <li>
 Manage and maintain a scalable, repeatable creator pipeline including UGC creators, agencies, and whitelisting partners
 </li>
 <li>
 Cultivate long-term creator relationships that consistently deliver high-quality, on-brand, high-performing content
 
 
 </li>
 </ul>
 Support Performance-Driven Creative
 
 
 <ul>
 <li>
 Contribute to creative hypotheses and testing informed by data and channel insights
 </li>
 <li>
 Ensure &ge;80% of UGC assets meet or exceed performance benchmarks (CTR, CPA, CVR) across paid channels
 </li>
 <li>
 Support efforts to mitigate creative fatigue through rapid testing, iteration, and refresh cycles
 
 
 </li>
 </ul>
 Increase Creative Velocity &amp; Operational Rigor
 
 
 <ul>
 <li>
 Support the launch of new UGC assets in line with channel needs and campaign priorities
 </li>
 <li>
 Create clear briefs, feedback loops, and timelines to move efficiently from brief &rarr; launch
 </li>
 <li>
 Manage multiple creative workstreams simultaneously while staying on schedule, within budget, and maintaining attention to detail
 
 
 </li>
 </ul>
 Analyze, Learn, and Share Insights
 
 
 <ul>
 <li>
 Review creative performance metrics including CTR, hook rate, thumb-stop rate, CPA, and CVR
 </li>
 <li>
 Summarize performance insights and recommendations to share with Marketing and Creative partners
 </li>
 <li>
 Contribute to comprehensive UGC performance dashboards and bi-weekly recap reporting
 
 
 </li>
 </ul>
 Expand UGC Impact Across Channels
 
 
 <ul>
 <li>
 Help repurpose winning UGC assets and insights across paid social, organic social, PDPs, email, and retail-adjacent content where applicable
 </li>
 <li>
 Partner with cross-functional teams to ensure learnings inform broader marketing and revenue strategies
 
 
 </li>
 </ul>
 Build Community-Based UGC Programs
 
 
 <ul>
 <li>
 Assist in the testing and launching of community-driven programs such as affiliates, ambassadors, and creator platforms
 </li>
 <li>
 Help define success metrics and iterate through test-and-learn phases
 
 
 </li>
 </ul>
 Manage Gifting &amp; Contracts
 
 
 <ul>
 <li>
 Seed ~50 creators per month through organized gifting programs
 </li>
 <li>
 Support contract coordination and fulfillment, ensuring all creator and agency contracts are accurately negotiated, executed, and filed with clear usage terms and timelines
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3 - 5 years of experience in creator marketing, UGC, paid social creative, digital marketing or performance marketing
 </li>
 <li>
 Direct, hands-on experience executing UGC or creator-led campaigns across paid and/or organic channels
 </li>
 <li>
 Strong understanding of what makes UGC effective, with the ability to evaluate creative performance and apply learnings
 </li>
 <li>
 Experience executing affiliate and ambassador programming
 </li>
 <li>
 Experience coordinating gifting and seeding programs
 </li>
 <li>
 Comfort working with performance data and ability to turn insights into action
 </li>
 <li>
 Highly organized with a strong sense of ownership and accountability
 </li>
 <li>
 Skilled negotiator with experience coordinating rates, contracts, and usage terms with vendors and creators
 </li>
 <li>
 Strong market researcher
 </li>
 <li>
 Excellent communication skills and comfort working cross-functionally with Creative, Marketing, and Revenue partners
 </li>
 <li>
 Curiosity, resilience, and excitement to become a subject matter expert in all things menstruation and modern period care
 
 
 </li>
 </ul>
 30-60-90
 
 
 In Your First 30 Days, You Will:
 
 
 <ul>
 <li>
 Get up to speed on Flex&rsquo;s brand, products, creative standards, and growth goals
 </li>
 <li>
 Learn existing UGC workflows, creators, performance benchmarks, and reporting
 </li>
 <li>
 Build relationships with key partners across Marketing, Creative, and Revenue
 </li>
 <li>
 Begin contributing to creative briefs and performance reporting
 
 
 </li>
 </ul>
 By 60 Days, You Will:
 
 
 <ul>
 <li>
 Independently manage defined creator sourcing, briefing, gifting, and testing workflows
 </li>
 <li>
 Execute briefs, testing plans, and performance recaps with minimal oversight
 </li>
 <li>
 Launch new UGC assets with predictable timelines and clear hypotheses
 </li>
 <li>
 Begin surfacing proactive insights to creative performance reporting and iteration plans
 </li>
 <li>
 Identify early opportunities and share ideas to improve velocity, structure, or performance
 
 
 </li>
 </ul>
 By 90 Days, You Will:
 
 
 <ul>
 <li>
 Take ownership of specific creator initiatives or channel-specific execution
 </li>
 <li>
 Consistently deliver high-quality UGC execution that supports performance goals
 </li>
 <li>
 Be seen as a reliable execution partner of Flex&rsquo;s UGC growth engine
 
 
 </li>
 </ul>
 
 Our shared values
 
 
 
 <ul>
 <li>
 Lead with Intention: Leaders are made not born. Leadership is a practice of intention. And through that intention is how we will ultimately succeed in realizing our mission and vision
 </li>
 <li>
 Embrace Accountability: We are imperfect in our actions, results, and even sometimes our intentions. By making accountability a practice, we destigmatize failure, increase trust with others, and accelerate learning both at the individual and the team level
 </li>
 <li>
 Practice a Growth Mindset: Growth comes at the edge of our comfort zone. We repeatedly place ourselves there by risking failure and embracing the challenges that failure presents us to own our growth and support others in theirs.
 </li>
 <li>
 Be You: We want people to show up as they are because that creates a healthier, more dynamic, and effective work environment. Just as much to do with being oneself, it&rsquo;s everyone&rsquo;s responsibility to create space for others to be their authentic self as well
 
 
 </li>
 </ul>
 
 About Flex
 
 
 
 The Flex Company was founded on the belief that people deserve innovative, sustainable, life-changing period products. After years of disappointment and discomfort trying dozens of products, Lauren Schulte Wang founded Flex to create body-safe, medical grade alternatives that outperform traditional period products. Flex Disc and Flex Cup generate 60% less waste and have the capacity of up to three super tampons, all while maintaining the highest level of comfort through inventive engineering and rigorous testing.
 
 
 Flex is sold at over 28,000 stores across the US and is the #1 better for you period brand based on units sold. Committed to making its life-changing products accessible to as many people possible, Flex is available at Target, CVS, and Walgreens, and at flexfits.com.
 
 
 Flex is an equal opportunity employer. We recruit, employ, train, compensate, and promote regardless of race, ethnicity, religion, sex, gender, age, and other protected categories. From our hiring practices to the design of our flagship products, we believe equity and diversity is critical to the ideas, talent, and processes that help us create the most positive impact for our customers and for each other. We encourage people of all backgrounds and identities to apply to be a team member here. Moreover, Flex considers for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance.
 
 
 Flex collects personal information from candidates as part of the application and hiring process. California residents can view our CCPA Notice at Collection and Privacy Policy, which serves as our "Notice of Collection" for applicants and employees under the CPRA.
 
 
 We pay competitive salaries, equity, &amp; benefits including (but not limited to) medical, dental and vision health insurance, 401k, paid parental leave, open PTO, 401k, and a $1,000 annual learning credit.
 
 
 Powered by JazzHR
 
 
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</div>

Associate Manager, Creator & Digital Marketing

Netflix

<div>
 At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what&rsquo;s next.
 
 
 The Production Finance Operations &amp; Innovation (O&amp;I) team is seeking a Data Analyst to support the Production Finance team and cross-functional partners on various data projects. O&amp;I facilitates informed decision-making by providing analysis to stakeholders, including senior leadership and other departments. The role frequently involves quick-turnaround ad hoc reports, as well as long-term analyses, strategic thinking, and stakeholder management.
 
 
 The ideal candidate possesses strong data skills and a passion for innovation, with an interest in Production Finance or the Entertainment industry generally. This position demands the ability to succeed in a highly collaborative, fast-paced setting, a passion for data work, and the ability to learn quickly.
 
 
 
 Responsibilities
 
 
 
 Data Extraction &amp; Transformation: Extract, clean, and transform data from core systems, including the Global Spend Report data model, Payroll Accounting Systems, and the Netflix Production Finance HUB. Aggregate and correlate data to accurately report on job counts, vendor spend, and location spend across global markets.
 
 
 Cross-Functional Collaboration: Work closely with stakeholders, including Production Finance, Public Relations &amp; Government Relations, Finance &amp; Strategy, Data Science &amp; Engineering, and Studio Tech Solutions. Act as a proactive thought partner, translating complex business needs into actionable data solutions.
 
 
 Ad Hoc &amp; Strategic Analysis: Engage in both rapid-turnaround ad hoc analyses (e.g., show-level spend, vendor breakdowns, cast and crew location analytics) and longer-term strategic projects (e.g., trend analysis, workflow optimization). Provide actionable insights and clear reporting to support decision-making.
 
 
 Technical Development &amp; Workflow Improvement: Develop expertise in the existing data models, identify data inconsistencies, and recommend improvements to data collection and validation processes. Explore and utilize data tables owned by adjacent business partners to enhance data coverage and integration.
 
 
 Data Visualization &amp; Reporting: Analyze structured datasets to develop metrics, dashboards, and trend reports using data visualization tools such as Google Sheets, Looker, Tableau, or similar platforms. Present insights in a clear, accessible manner to both technical and non-technical stakeholders.
 
 
 System &amp; Tool Experimentation: Proactively engage in self-training and experimentation with new tools and technologies to improve analytics workflows and drive innovation.
 
 
 Production Finance Team Support: Guide Production Finance executives on data access, analysis, and reporting. Respond to requests for data pulls, insights, and custom analyses as needed.
 
 
 Data Quality &amp; Issue Resolution: Monitor data integrity and troubleshoot urgent issues affecting data coverage or quality, ensuring the highest standards of accuracy and completeness.
 
 
 Documentation &amp; Knowledge Sharing: Maintain clear documentation of data processes, workflows, and system configurations. Share best practices and learnings with the broader team to foster continuous improvement.
 
 
 
 Qualifications
 
 
 
 Education &amp; Experience:
 
 
 <ul>
 <li>
 A degree in a quantitative field (e.g., mathematics, statistics, computer science, engineering, or similar)
 </li>
 <li>
 5+ years of experience in data science, analytics engineering, or a similar data field.
 </li>
 <li>
 Experience in Production Finance, Production Accounting, or other Entertainment Industry areas preferred
 </li>
 <li>
 Ability to collaborate with various teams and stakeholders, work with business end-users to understand data and analysis needs.
 
 
 </li>
 </ul>
 
 Skills &amp; Abilities
 
 
 
 <ul>
 <li>
 Advanced SQL proficiency and database infrastructure knowledge required
 </li>
 <li>
 Advanced G Sheets proficiency required
 </li>
 <li>
 Experience with Python/R or other statistical programming languages is required
 </li>
 <li>
 Excellent data analysis and visualization skills
 </li>
 <li>
 Familiarity with Business Intelligence tools such as Looker, Tableau, or similar platforms
 </li>
 <li>
 Working knowledge of database concepts and data pipelines
 </li>
 <li>
 Strong written and verbal communication skills
 </li>
 <li>
 Strong interpersonal skills, with the ability to build relationships with key stakeholders
 </li>
 <li>
 Ability to communicate effectively with global teams
 </li>
 <li>
 Ability to show flexibility in re-prioritizing as situations arise throughout the day
 </li>
 <li>
 Detail-oriented but also interested in understanding the bigger picture
 
 
 </li>
 </ul>
 
 Other Attributes
 
 
 
 <ul>
 <li>
 Must thrive in a fast-paced and collaborative team environment
 </li>
 <li>
 Flexible and open to different perspectives
 </li>
 <li>
 Curious, with a focus on generating results
 </li>
 <li>
 Must be self-motivated, disciplined, highly organized, and able to prioritize tasks
 </li>
 <li>
 Exhibit the highest personal and professional standards of integrity and ethics.
 </li>
 <li>
 Passion for innovation
 
 
 </li>
 </ul>
 Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $150,000.00 - $230,000.00.
 
 
 Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
 
 
 Netflix is a unique culture and environment. Learn more here.
 
 
 Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
 
 
 We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
</div>

Data Analyst, Production Finance Operations & Innovation

Centerfield

<div>Hi, We're Centerfield!
Supercharged customer acquisition. Centerfield delivers outcome-based digital marketing solutions and personalized omnichannel experiences for the world&rsquo;s leading brands. Powered by our proprietary Dugout platform, Centerfield acquires customers at scale for leading residential service, insurance, e-commerce, and B2B brands. Centerfield&rsquo;s digital experiences and digital brands, such as Business.com and BroadbandNow.com, reach more than 150 million in-market shoppers annually. Centerfield is headquartered in Silicon Beach and is proud to be recognized by Built in LA as a Best Place to Work in Los Angeles.<h2 class="jobSectionHeader">
The Opportunity...</h2>
This internship offers hands-on experience in financial planning &amp; analysis (FP&amp;A) and business analytics. You&rsquo;ll work closely with finance and strategy teams, gaining exposure to financial reporting, forecasting, and data-driven decision-making in a dynamic business environment. This is a great opportunity to develop analytical skills, gain real-world finance experience, and contribute to impactful projects.
Our summer internship applications are open until April 1, 2026, then we will close the posting. 
<h2 class="jobSectionHeader"> 
 
How You'll Contribute...</h2><ul><li>Assist in financial forecasting, account reconciliation, and variance analysis to support strategic decision-making.</li><li>Compile internal daily and monthly KPI reporting to management</li><li>Analyze key business metrics, identifying trends and opportunities to optimize financial performance.</li><li>Prepare financial workbooks for leadership, translating complex data into actionable insights.</li><li>Compile data and prepare a variety of financial reports related to revenue reconciliation and recognition</li><li>Maintain and balance accounts by verifying, allocating, posting, reconciling transactions and resolving discrepancies</li><li>Prepare account reconciliations as part of the monthly close process for revenue, A/R, deferred revenue, and/or other areas as assigned</li><li>Support cross-functional teams by providing financial insights and recommendations.</li><li>Collaborate with stakeholders to develop models and reports that drive business efficiency.</li><li>Gain exposure to executive-level discussions on financial strategy and planning.</li></ul><h2 class="jobSectionHeader">
What We're Looking For...</h2><ul><li>Currently pursuing or recent grad with a degree in Finance, Accounting, Economics, or a related field.</li><li>Team player who exhibits effective interpersonal skills with a collaborative style and has an eagerness to learn</li><li>Strong analytical and problem-solving skills with attention to detail.</li><li>Ability to communicate clearly and effectively</li><li>A self-starter with strong attention to detail who is well organized, can think creatively and learn quickly in a fast-paced environment</li></ul><h2 class="jobSectionHeader">
Nice to Have But Not Required&hellip;</h2><ul><li>Prior internship or coursework in FP&amp;A, business analytics, or corporate finance</li><li>Experience with Microsoft applications (Excel, Word, Outlook, etc) and data visualization tools (e.g., Tableau, Looker, Power BI).</li></ul><h2 class="jobSectionHeader">
Intern Life at Centerfield&hellip;</h2><ul><li>
Weekly pay!</li><li>
Interactive, onsite new-hire orientation for your first week to meet your peers!</li><li>
End-of-summer internship commencement with presentations in front of our C-suite</li><li>
Be assigned a personal mentor for daily support and guidance</li><li>
Career-focused workshop presentations from Centerfield&rsquo;s key stakeholders</li><li>
Unlimited free snacks and drinks around the office!</li><li>
Monthly happy hours, catered Thursday lunches</li><li>
Award winning culture &amp; unprecedented team spirit (featured in LA Business Journal &amp; Built In LA Best places to work)</li><li>
Monthly team outings (ball games, casino night, hikes, etc.)</li><li>
Career growth &ndash; we enjoy promoting from within!</li></ul>
This is a 12-week paid internship starting in June 2026 and ending in August 2026. Interns will work 24 hours per week from our HQ office on Tuesdays, Wednesdays, and Thursdays.
#LI-BK1
#LI-Hybrid
To learn more, visit us Here.
Interviews will take place after resumes have been screened for minimum requirements. Please note that this position is not restricted solely to the responsibilities listed above and that the job scope and responsibilities are subject to change.
For more information about our collection, use, and disclosure of your personal information in connection with our evaluating your candidacy, please visit our Privacy Policy at https://www.centerfield.com/privacy-policy/.
Centerfield Media is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected under federal, state or local law.</div>

Finance Intern, Summer 2026

Explore 635+ Associate digital finance transformation data scientist private equity performance improvement open to all us locations in Los Angeles United States this March. Find roles across top companies and apply now to boost your career.