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business intelligence analyst

Keck Medicine of USC

<div>The Senior Analyst of Clinical Operations Business Intelligence (COBI) leads knowledge management efforts to redesign care processes to optimize value (improve outcomes, patient satisfaction and reduce cost). This role provides strategic oversight for the development and governance of analytics dashboards that provide a single source of truth for reliable, meaningful and actionable insights. The Senior Analyst leads complex assessment and diagnostic of problems, architect scalable data analytics solutions, develops performance dashboards, and manages structured improvement initiatives, from transformational projects, to focused analytics development improvement events. The Senior Analyst also acts as a coach for his/her team and for any colleagues they interact with to help them establish mechanisms to sustain performance after the completion of projects. The Senior Analyst establishes and sustains strategic relationships with physicians, nurses, other clinicians and administrators to build support for change and sustainability efforts. This role leads cross-functional collaboration to translate clinical and operational requirements into scalable analytics solutions, understand process flow and design the analytics tools they need to make data-driven decisions to improve patient care, drive down cost, and increase revenue. The Senior Analyst leads the development of management mechanisms and systems to build the knowledge management capacity of the medical enterprise. The Senior Analysts strengthens data and analytics support across the USC health system to foster its continued growth, increased efficiency, development of workflows in conjunction with physicians and establishes strategic relationships with referring facilities. These efforts will improve the transitions of care resulting in safer, more efficient care with better patient and family experience, reduced length of stay and readmissions. The scope of activities for the Senior Analyst include: cultivating strategic customer relationships, serving as a trusted analytics advisor to operational leaders, leading agile design while developing business solutions with clinical stakeholders, building complex analytical models (e.g., predictive models using machine learning techniques, automating multi-source data capture and analysis, leading high-impact performance improvement and operations projects in the organization, providing actionable insights, and employing the advanced analytical judgment necessary to determine the accuracy and applicability of analytical conclusions.
Essential Duties:<ul><li>
Lead the design, development and optimization of management tools based on business and clinical requirements to improve value aligning with organizational goals and objectives Develop solutions that embed and extract relevant patient information into and from health information systems, in order to provide effective communication that will support quality, process improvement, and operations initiatives as they relate to clinical care, program development, and training</li><li>
Applies advanced engineering and data science principles and concepts in planning, coordinating and executing operational and research activities Provides data science expertise to support data-driven decision making Performs complex analysis to produce meaningful insights and actionable analysis to track clinical operations performance at all levels in the organization leveraging evidence-based benchmarking identified by key performance indicators. Socializes tools and initiatives across the health system. Lead cost modeling, financial impact analysis, capacity planning and other services related to daily operations and clinical program growth Oversee development, automation and governance of reporting frameworks and executive presentations, ensuring data quality, standardization, and scalability</li><li>
Develops collaborative relationships with physicians, administrative leaders and frontline staff to aid in their understanding of data and plan improvements to clinical operations.</li>
Performs duties including some or all of the following: Lead projects/tasks by creating detailed work plans with identified timelines/milestones and objectives/targets, aligning with allocated resources and organizational strategy Implements planned projects in consultation with appropriate leadership and identified stakeholders, ensuring all work is properly maintained and kept confidential when applicable Controls project by maintaining alignment with organizational policies/procedures and regulatory compliance standards Analyze and manage risks and issues associated with technical operations on all programs and medical technology project implementations. Lead, mentor, and review team deliverables to ensure high-quality outputs, adherence to best practices, and alignment with clinical, operational, and organizational priorities. Recommend and/or implement methods and techniques to address a variety of engineering, management, and regulatory requirements on the use of medical data. Evaluates project by ensuring deliverables are on time, within budget, and at the required level of quality by tracking established process and outcome measure to targets Conducts assessments and collects data to support department initiatives. Audits compliance to new policy, protocols and practices. Develops return on investment (ROI) formulas and calculations to measure project impact.<li> Attends promptly to the administrative details of the position including preparation of Performance Reports</li><li>
Performs data collection and/or entry processes. Recommends, utilizes and enhances methods and procedures for data acquisition, management and quality control, as needed. Apply advanced statistical modeling, predictive analytics, and data science techniques for data analysis, as needed. Resolves complex problems, answers questions and provides information to facilitate process. Uses standard statistical analysis software, as needed</li><li>
Performs other related duties as assigned or requested.</li></ul>
Required Qualifications:<ul><li>
Req Bachelor&rsquo;s Degree Degree in engineering, computer engineering, or data science</li></ul><ul><li>
Req 3-5 years experience in business/ data analytics, healthcare analytics, healthcare quality, clinical and operations decision support or related field.</li><li>
Req 1 - 2 years in a lead/senior role.</li></ul><ul><li>
Req Working knowledge of back-end databases (e.g., relational designs) spreadsheets, word processing, statistical software, analytical models, data science principles and application, and data visualization programs (e.g., Tableau, Qlikview, Qliksense, Power BI).</li><li>
Req Knowledge of business (operational, clinical and financial) statistics and data analyses techniques.</li><li>
Req Expert knowledge in Python, R, and/or SQL software programming</li><li>
Req Ability to manage, analyze, and derive clinical and operational insights from health system information technologies.</li><li>
Req Strong analytical thinking and problem solving skills.</li><li>
Req Demonstrated leadership capabilities, including but not limited to: o Developing dynamic, constructive working relationships and partnerships with operational and clinical partners. o Excellent interpersonal skills (negotiation, listening and communication skills) characterized by effective interactions with a diverse range of internal and external constituents, stakeholders and audiences. o Relationship driven, consultative, a team player, able to effectively lead process improvement initiatives. o Possesses a good understanding of Business Intelligence tools, technology platform, and related systems to handle queries about clinical and business data/analytical solutions. o Be adept at presenting technical materials to a non-technical audiences, applying human factors principles and user centered design principles, understanding user workflows, applying statistical methods latforms such as Qlikview and Tableau</li></ul>
Preferred Qualifications:<ul><li>
Pref Master&rsquo;s degree Degree (Health Administration, Nursing, Industrial Engineering, Analytics)</li><li>
Pref Expertise in data science, including machine learning approaches to produce predictive models;</li><li>
Pref Proficiency in statistical approaches;</li><li>
Pref Master level expertise in data visualization platforms such as Qlikview and Tableau</li></ul>
Required Licenses/Certifications:
<ul><li>Req Fire Life Safety Training (LA City) If no card upon hire, one must be obtained within 30 days of hire and maintained by renewal before expiration date. (Required within LA City only)</li></ul> 

The annual base salary range for this position is $81,120.00 - $133,010.00. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate&rsquo;s work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.
<div>Job ID REQ20173362 Posted Date 03/18/2026</div></div>

Clinical Operations Business Intelligence Analyst, Senior - Value Improvement Office - Full Time 8 Hour Days (Exempt) (Non-Union)

Viant Technology

<div>
 
 THE DAY-TO-DAY
 
 
 
 
 
 <ul>
 <li>
 Design and maintain clear, user-friendly dashboards that translate complex data into actionable insights.
 </li>
 <li>
 Apply UI/UX and data visualization best practices (layout, hierarchy, chart selection, accessibility, interactivity).
 </li>
 <li>
 Support integration and validation of publisher, DSP, SSP, and related data sources within reporting systems.
 </li>
 <li>
 Perform routine QA to ensure data accuracy, consistency, and alignment with source-of-truth systems.
 </li>
 <li>
 Monitor and troubleshoot recurring reports and dashboards to maintain reliability and performance.
 </li>
 <li>
 Maintain and review end-of-month billing reporting processes and data.
 </li>
 <li>
 Standardize KPI definitions and maintain documentation for dashboard logic and reporting frameworks.
 </li>
 <li>
 Assist in automating recurring reporting processes to improve efficiency.
 </li>
 <li>
 Support ad hoc reporting requests and cross-functional stakeholder needs.
 
 
 </li>
 </ul>
 GREAT TO HAVE
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a related field (statistics, data science, business analytics, or similar).
 </li>
 <li>
 3+ years of experience in business intelligence, reporting, or data visualization roles.
 </li>
 <li>
 Proficiency in SQL.
 </li>
 <li>
 Proficiency with visualization tools such as QuickSuite, Looker, or Tableau.
 </li>
 <li>
 Familiarity with ad-tech, DSPs, SSPs is preferred.
 </li>
 <li>
 Exposure to Python, R, Salesforce, Google Big Query is a plus.
 </li>
 <li>
 Strong interest in dashboard design, usability, and data storytelling.
 </li>
 <li>
 High attention to detail and commitment to data integrity.
 </li>
 <li>
 Strong communication skills and ability to present data clearly.
 
 
 </li>
 </ul>
 
 Who We Are
 
 
 
 Viant&reg; (NASDAQ: DSP) is a leading advertising software company that enables marketers to plan, execute and measure omnichannel ad campaigns through a cloud-based platform. Viant&rsquo;s self-service Demand Side Platform, Viant DSP&reg;, powers programmatic advertising across Connected TV, Linear TV, mobile, desktop, audio, gaming and digital out-of-home channels. In 2022, Viant was recognized as a Leader in the DSP category, earned Great Place to Work&reg; certification and Co-Founders Tim and Chris Vanderhook were named EY Entrepreneurs of the Year. To learn more, please visit viantinc.com.
 
 
 IRIS.TV is the world&rsquo;s leading video data platform. Founded in 2013, IRIS.TV helps customers and partners maximize the value of their investment by bringing video-level contextual, emotional, and brand safety data to market to target and measure streaming campaigns. This technology is built off our core technology, the IRIS_ID, and it provides buyers and sellers of streaming advertising transparency into what content their ads are being placed against. Our technology helps publishers make more money, using privacy first data, while improving ad campaign performance for advertisers. Operating at massive scale, we process tens-of-billions of video views and ad requests per day. Our customers range from the largest brands in the world to new innovative companies investing in CTV advertising for the first time. To learn more, please visit iris.tv.
 
 
 LIFE AT VIANT
 
 
 Investing in our employee&rsquo;s professional growth is important to us, but so is investing in their well-being. That&rsquo;s why Viant was voted one of the best places to work and some of our favorite employee benefits include
 
 fully paid health insurance
 
 ,
 
 paid parental leave
 
 and
 
 unlimited PTO
 
 and more.
 
 
 $60,000 - $71,000 a year
 
 
 In accordance with California law, the range provided is Viant&rsquo;s reasonable estimate of the compensation for this role. Final title and compensation for the position will be based on several factors including work experience and education.
 
 
 Not the right position for you? Check out our other opportunities!
 
 
 
 Viant Careers
 
 
 
 
 About Viant
 
 
 
 Viant Technology Inc. (NASDAQ: DSP) is an exclusively buy-side advertising platform powered by artificial intelligence and designed to drive performance across the open internet. Our omnichannel platform purpose-built for CTV turns data and intelligence into scalable, measurable performance for advertisers. With the launch of ViantAI and Outcomes, Viant has been at the forefront of AI innovation in advertising, building the future of fully autonomous solutions. Viant has been recognized for excellence in AI by Adweek, the Business Intelligence Group and MarTech Breakthrough and is Great Place to Work&reg; certified. Learn more at viantinc.com.
 
 
 Viant is an equal opportunity employer and makes employment decisions on the basis of merit. Viant prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, reproductive health decision making, gender, gender identity, gender expression, age, military status, veteran status, uniformed service member status, sexual orientation, transgender identity, citizenship status, pregnancy, or any other consideration made unlawful by federal, state, or local laws. Viant also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.
 
 
 By clicking &ldquo;Apply for this Job&rdquo; and providing any information, I accept the Viant California Personnel Privacy Notice.
</div>

Data Analyst – IRIS.TV

CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
Position Summary
As a member of the Client and Network Pricing Team you will be responsible for supporting drug pricing initiatives aimed at driving efficient pricing to our members for Commercial, Medicaid, Med D, and other Lines of Business. Some of your key responsibilities will include:<ul><li>
Reviewing MAC prices and communicate recommendations to the client</li><li>
Respond to client requests for information and reports</li><li>
Establish and implement MAC prices</li><li>
Performing QC steps to confirm the accuracy of price updates</li><li>
Developing a core understanding of drug pricing, underwriting, network pharmacy performance, and PBM operations</li><li>
Identifying opportunities for process and documentation improvements</li></ul> 
To be successful, you will work as part of a team to optimize MAC prices, implement MAC prices as needed to meet pricing commitments and requirements, perform QC processes, develop reports, and perform other tasks as needed to support business needs. You will collaborate with both the client and internal business partners as needed to accomplish required tasks. 
 
Required Qualifications<ul><li>
3+ years work experience in underwriting, network provider relations, finance or analytics.</li><li>
SAS, SQL or Python experience</li><li>
Strong Excel skills</li><li>
Ability to work independently</li></ul> 
Preferred Qualifications<ul><li>
1+ year experience in healthcare, pharmacy or PBM.</li><li>
Strong organizational skills &amp; time management</li><li>
Effective problem-solving and analytical skills</li><li>
Possess a desire to learn and grow through tackling new challenges</li><li>
Adept at execution and delivery (planning, delivering, and supporting) skills</li><li>
Experience with business intelligence</li><li>
Adept at collaboration and teamwork</li><li>
Innovative thinker who is not afraid to propose new ideas and alternative solutions to a problem</li><li>
History of problem solving and decision-making skills</li><li>
Mastery of growth mindset (agility and developing yourself and others) skills</li><li>
Understanding of how a PBM works</li></ul> 
Education<ul><li>
Bachelor's degree preferred</li></ul>
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$46,988.00 - $122,400.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 04/11/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Senior Analyst, Business Analytics

<div>
 
 Company Information
 
 
 
 For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.
 
 
 Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.
 
 
 If you want to be challenged to up your game and make a difference, then join us in giving the world reason to cheer!
 
 
 
 Job Summary
 
 
 
 The AEG Presents Strategy Group partners with the executive team and leaders across the company, to address critical challenges and develop and execute strategies that drive business improvement. The Data Analyst works with the Chief Strategy Officer, two strategy directors, and a data scientist, across all strategic and operational areas of the AEG Presents business, with a focus on quantitative/statistical modeling and business performance analysis.
 
 
 
 Essential Functions
 
 
 
 <ul>
 <li>
 Develop predictive and statistical models to improve performance across all AEG Presents business lines, by gathering, cleansing, and analyzing data from multiple defined and undefined data sources using data extraction and analysis tools (SQL, Excel, PowerBI), and using statistical/programming tools (Python, R) to design and execute advanced analytics (regression, clustering, time series, etc.).
 </li>
 <li>
 Lead implementation of statistical data models into proprietary custom-built software platforms for use in AEG Presents business operations, working collaboratively with the digital team and other business stakeholders by defining requirements and developing underlying data structures.
 </li>
 <li>
 Design and execute financial and operational analysis by leveraging in-house and 3rd party operational, transactional, and financial data, and use visualization tools to develop business performance reports for AEG Presents management across multiple departments (e.g., festivals, venues, touring).
 
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 BA/BS Degree (4-year)
 </li>
 <li>
 0-2 years Of related work experience
 </li>
 <li>
 Strong quantitative analytical skills, with the ability to derive insights from large data sets, exceptional attention to detail, and a desire to creatively solve challenging problems
 </li>
 <li>
 Excellent written and verbal communication skills, with the ability to present findings from technical analysis to non-technical audiences
 </li>
 <li>
 General business acumen, with the ability to analyze the live events industry and recommend business improvements
 </li>
 <li>
 Ability to learn quickly and manage projects independently
 </li>
 <li>
 Proficiency in data science programming languages (Python and/or R)
 </li>
 <li>
 Proficiency in SQL, experience with data visualization tools (e.g., Tableau, PowerBI)
 </li>
 <li>
 Music or other entertainment experience a plus, as well as a passion for music and knowledge of artists and industry trends preferred
 </li>
 <li>
 Familiarity with basic financial statements (profit and loss, balance sheet) preferred
 
 
 
 </li>
 </ul>
 
 Payscale:
 
 $82,924-$89,250
 
 
 
 Bonus:
 
 
 This position is not eligible for a bonus under the current bonus plan requirements.
 
 
 
 
 Benefits:
 
 
 
 Full-time:
 
 We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings.
 
 
 
 AEG reserves the right to change or modify the employee&rsquo;s job description whether orally or in writing, at any time during the employment relationship. AEG may require an employee to perform duties outside their normal description.
 
 
 AEG's policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions. We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.
 
 
 Employer does not offer work visa sponsorship for this position.
</div>

Data Analyst

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.
 
 
 It's an exciting time to join Netflix as we continue to transform entertainment globally. We are bringing new stories to millions of people worldwide by promoting our original, exclusive content. As we move beyond 300 million members and hundreds of partnerships worldwide, our approach to marketing is to build innovative, culturally relevant, creatively excellent campaigns that pierce the zeitgeist and drive conversation.
 
 
 Our Experiences team puts fans at the center of their favorite stories, in real life, through permanent entertainment venues, Netflix House, and touring attractions around the world. Netflix Houses are our permanent, always-on, constantly refreshable entertainment venues, where guests can step into their favorite stories. We want these experiences, along with merchandise offerings, to help promote love for our titles so they become part of the conversation zeitgeist for longer periods of time and drive long-term value for Netflix.
 
 
 Data is a crucial component in shaping our comprehensive conversation strategy. In Content &amp; Conversation Applied Science and Analytics (CASAS) DSE, we focus on delivering data products and insights that support our business partners in their complex and nuanced decision-making processes. We are a highly collaborative team that partners across Netflix to drive impact.
 
 
 We are seeking a talented Data Scientist to provide key insights and thought partnership to our Experience team decision makers. You will leverage analytical expertise to build advanced analytical models, develop insights, and uncover trends for Netflix House locations (visitation, attendance, fan behavior, and satisfaction). Your work will directly inform executive decision making as well as optimization and re-forecasting processes in order to enhance fan and House employee experience. In success, you will collaborate on existing priorities but also will propose and execute on new opportunities. This role features ample opportunity for project ownership, leadership and direct influence on impactful business decisions.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Be a strategic thought partner with business stakeholders to define high impact analytical problems and innovative ways to solve them with data.
 </li>
 <li>
 Develop systems to analyze trends in fan behavior, including time spent, arrival and departure patterns, interactions with different Netflix IPs and spaces, and preferences for retail and F&amp;B offerings.
 </li>
 <li>
 Develop robust forecasting models to identify future trends, explaining attendance due to seasonality, location, price demand relationship, and other key influencing factors and enabling the business to make data-driven decisions and proactively adapt strategies based on actionable insights.
 </li>
 <li>
 Act as a trusted advisor to business leaders, directly informing decision-making and operational planning.
 </li>
 <li>
 Actively identify emerging business needs and develop analytical tools to translate outputs to actionable, recommendations for operations teams.
 </li>
 <li>
 Present findings and recommendations to stakeholders through clear, compelling story telling and presentations.
 </li>
 <li>
 Stay current with industry best practices and emerging analytics trends to continuously improve analytics capabilities.
 </li>
 <li>
 Promote and foster a mindset of continuous innovation for internal teams and external partners.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 <ul>
 <li>
 Exceptional interpersonal and communication skills to influence stakeholders using clear insights and recommendations.
 </li>
 <li>
 Adept at cultivating strong partnerships.
 </li>
 <li>
 Exceptional thought partnership and engagement abilities with a diverse set of stakeholders and passionate about communicating difficult concepts to non-technical audiences.
 </li>
 <li>
 Experience with guest or customer satisfaction analytics, forecasting, and operational optimization is highly desirable.
 </li>
 <li>
 Strong statistical knowledge: understanding of predictive modeling; experience in feature engineering, confounder identification and amelioration, etc.
 </li>
 <li>
 A degree in a quantitative field (e.g., mathematics, statistics, computer science, engineering, or similar), and 4+ years of experience in data science, analytics engineering, or a similar data field.
 </li>
 <li>
 Advanced SQL skills, with experience working in complex data environments.
 </li>
 <li>
 Experience with scripting languages, particularly Python.
 </li>
 <li>
 Exceptional analytical and problem-solving skills with a keen attention to detail and desire to think outside the box and innovate
 </li>
 <li>
 Experience with data visualization platforms (e.g., Tableau, Looker, Plotly) is a plus
 </li>
 <li>
 Experience in retail, entertainment, or hospitality sectors is a plus.
 </li>
 <li>
 Enthusiastic about Netflix culture.
 
 
 </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 $280,000.00 - $421,000.00.
 
 
 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 Scientist (L4) -  Marketing and Experience DSE

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
*Sponsorship is not available for this role*
Position Summary<div>
The Aetna Complaints, Grievance &amp; Appeals (CG&amp;A) organization is looking for the right candidate to help the CGA Insights team to support our data-driven analytics, root-cause analysis and process improvement activities. This new position will work with current team members on various activities impacting the CG&amp;A organization to better respond to incoming data and report requests. This will include develop &amp; updating of executive meeting materials, document existing processes and workflows, improving automation and collaborating with our business partners &amp; stakeholders on the various operational and regulatory project deliverables the team is responsible for. This role provides an opportunity for the applicant to evolve into a reporting subject matter expert on the CG&amp;A process across the multiple lines of business within Aetna/CVS Health. Responsibilities for this role will include:</div><div><ul><li>
Perform intake, triage, tracking, and fulfillment of incoming data &amp; project requests.</li></ul></div><div><ul><li>
Reach out to requestors to further define, document and finalize requirements.</li></ul></div><div><ul><li>
Help execute standardized decision analysis reporting (YOY/MOM, QOQ) trend views.</li></ul></div><div><ul><li>
Support team members w activities around development of GCP data repository (i.e. BigQuery)</li></ul></div><div><ul><li>
Support team members w development of new semantic reporting environment.</li></ul></div><div><ul><li>
Identify automation opportunities for various technologies &amp; tools (Python, GCP, Alteryx, Dataiku)</li></ul></div><div><ul><li>
Monitor data quality and collaborate with Sr. Management on data trend changes</li></ul></div><div><ul><li>
Perform deep dive analysis to help identify potential drivers of higher incoming case volumes.</li></ul></div><div><ul><li>
Evaluate resolved case data to identify opportunities to improve the decision-making process.</li></ul></div><div><ul><li>
Deliver actionable insights &amp; recommendations to Executive Leadership to enable better decision-making and strategic planning.</li></ul></div><div> 
Required Qualifications</div><div><ul><li> 
Proficient with MS Office documentation, data analysis, &amp; presentation applications.</li></ul></div><div><ul><li>
5+ years of experience with relational databases and data transformation.</li></ul></div><div><ul><li>
3+ years of experience with data processing/analytics.</li></ul></div><div><ul><li>
5+ years of experience writing SQL queries (i.e. BigQuery,</li><li>
Coginiti, SQLServer, DB2)</li></ul></div><div><ul><li>
3+ years&rsquo; experience with data visualization and report generation &amp; scheduling tools such as: Tableau OR SAP Business Obects (LaunchPad, WEBI, Business Views/Crystal Reports) OR Microsoft Power BI OR GCP (BigQuery, Looker)</li></ul></div><div> 
 Preferred Qualifications</div><div>
2+ years&rsquo; experience with Cloud / Big Data data storage technologies (GCP/AWS).</div><div><ul><li>
1+ years of experience in the healthcare industry.</li></ul></div><div><ul><li>
Experience in any of the following functional areas (call, claims, utilization management, grievances, appeals) would be ideal.</li></ul></div><div><ul><li>
1+ years of experience with automation technologies (Python, Alteryx, Dataiku).</li></ul></div><div><ul><li>
1+ years&rsquo; experience of data universe building or database admin development.</li></ul></div><div><ul><li>
Ability to communicate with both technical and non-technical colleagues.</li></ul></div><div><ul><li>
Comfortable with SharePoint and QuickBase (i.e. project tracking and collaboration tools).</li></ul></div><div><ul><li>
Experience in process improvement or automating end-to-end processes.</li></ul></div><div><ul><li>
Familiar with Agile project management release methodology &amp; terminology.</li></ul></div><div> 
Education</div><div>
 Bachelor's degree or equivalent work experience required, advanced degree preferred OR Technical certifications for the technologies listed in the job description.</div>
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$54,300.00 - $145,860.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 03/27/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Manager Informatics

Mathnasium

<div>Job Title: Data Analyst, Intern (Paid)
Location: Los Angeles, CA (Hybrid)
Duration: 10-12 weeks, Summer 2026
Position Reports To: Senior Manager, Data Analytics
About Mathnasium:
With over 1,000 franchised learning centers worldwide, Mathnasium is a must-have resource for families who want to ensure their kids meet their full academic potential.
About the Role:
Mathnasium is looking for a driven and detail-oriented Data Analyst Intern to join our Data &amp; Analytics team for the summer. This is a hands-on role that will support our efforts to maintain clean, accurate data and deliver high-impact dashboards and reports to key stakeholders across the organization. The intern will primarily assist with dashboard development &amp; enhancement, data cleaning, ad-hoc data requests, and documentation&mdash;playing a key role in supporting our reporting infrastructure. This is an ideal opportunity for someone curious about how analytics teams operate in a franchise business environment and eager to apply their technical and problem-solving skills in a real-world setting.
Responsibilities:
Dashboard &amp; Reporting
<ul><li>Create or update non-complex Quicksuite views and visualizations
</li><li>Assist with ad-hoc reporting and data requests using SQL and BI tools
</li><li>Support QA testing and version control for updated dashboards
</li></ul>Data Quality &amp; Validation
<ul><li>Execute predefined QC checks to catch duplicates, missing values, or formatting issues
</li><li>Help compare raw vs. transformed datasets to ensure pipeline integrity
</li><li>Flag anomalies or edge cases for senior review
</li></ul>Exploratory Analysis &amp; Ad Hoc Work
<ul><li>Perform basic data profiling and exploratory analysis on core datasets
</li><li>Support the team with simple analytical investigations and trend identification
</li></ul>Documentation &amp; Admin Support
<ul><li>Maintain internal documentation for dashboards, processes, and metrics
</li><li>Assist with BI access updates and process standardization
</li><li>Help organize data definitions and business logic to support knowledge continuity
</li></ul>Qualifications:
<ul><li>Enrolled in a Master's program in Statistics, Data Analytics, Computer Science or a related STEM field. Will also consider rising seniors pursuing their Bachelor's in related STEM field.
</li><li>Minimum GPA of 3.0 or equivalent.
</li><li>Coursework in data analysis, statistics, or business intelligence preferred.
</li><li>Prior experience with data analysis tools (e.g., SQL, AWS Quicksight, Power BI, python) through academic projects or previous internships
</li><li>Strong attention to detail and willingness to learn
</li><li>Effective communicator with a proactive mindset
</li><li>Interest in education is a plus
</li></ul>The Mathnasium Mission 
Teach children math so they understand it, master it, and love it.
 
Math can change their lives, and they can change the world.
 
Mathnasium makes math make sense, building children's confidence and a deep understanding and lifelong love of mathematics. With more than 1,000 locations on four continents, our franchised and company-owned learning centers provide tutoring from pre-K through high school. 
The Mathnasium Method increases a child's math competency and improves their lives by opening the doors to higher education, greater career opportunities, and a better future. It is in that sense that we aim to change the world ... one child at a time. 
Our teaching method, the Mathnasium Method, is the life&rsquo;s work of Larry Martinek, Mathnasium&rsquo;s Chief Instructional Officer and a teacher and math teaching consultant in the Los Angeles area for more than 35 years. The Mathnasium Method uses a time-tested, customized program which stems from a unique assessment to identify what students need to improve their math skills. We offer personalized instruction, proprietary worksheets, and games to build Number Sense and provide a fun and supportive environment in which children can learn and practice math.
Pay: $25.00 - $30.00 / hour
Job Type: parttime
Schedule:<ul><li>
8 hour shift</li><li>
Monday to Friday</li></ul>
Education: Bachelor's degree
Work location: On-site</div>

Summer - Data Analyst Intern

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