data analyst

data engineer

data scientist

financial analyst

associate data analyst

business data analyst

S Mobile Wireless LLC

Job Role &ndash; Business Data &amp; Strategy AnalystLocation &ndash; NYC, NYDuration - 12+ MonthsExperience &ndash; 10 to 15 YearsJob Description: We are seeking a Strategy Consultant who excels at transforming complex business problems into clear, compelling narratives. This role requires a unique blend of strategic thinking, structured problem-solving, and exceptional storytelling&mdash;especially through high-impact executive presentations.You will work closely with senior stakeholders to shape strategy, synthesize insights, and deliver polished, boardroom-ready materials that influence decision-making.Key Responsibilities:Strategic Problem Solving:<ul><li>Break down ambiguous business challenges into structured frameworks.</li><li>Conduct market, competitor, and internal analyses to generate insights.</li><li>Develop actionable strategic recommendations.</li></ul>Executive Storytelling:<ul><li>Craft clear, persuasive narratives tailored for senior leadership.</li><li>Translate data and analysis into compelling storylines with a strong &ldquo;so what&rdquo;.</li><li>Build logical, hypothesis-driven story arcs (top-down communication).</li></ul>Executive Deck Creation:<ul><li>Design and deliver high-quality PowerPoint presentations for C-suite audiences.</li><li>Create visually clean, concise, and impactful slides (clarity over clutter).</li><li>Apply best practices in slide structuring, data visualization, and messaging.</li></ul>Stakeholder Engagement:<ul><li>Partner with executives to refine messaging and align on strategic direction.</li><li>Present findings confidently in leadership forums.</li><li>Incorporate feedback quickly and iterate on deliverables.</li></ul>Data-Driven Insights:<ul><li>Analyze qualitative and quantitative data to support recommendations.</li><li>Synthesize large amounts of information into digestible insights.</li></ul>Required Skills &amp; Qualifications:<ul><li>10+ years in strategy consulting, corporate strategy, or similar roles.</li><li>Experience working on executive-level presentations and strategy projects.</li></ul>Core Skills:<ul><li>Exceptional storytelling and communication skills.</li><li>Strong PowerPoint / presentation design expertise.</li><li>Structured thinking (MECE, hypothesis-driven approach).</li><li>Ability to simplify complex ideas into clear messages.</li></ul>Analytical Skills:<ul><li>Strong problem-solving and critical thinking abilities.</li><li>Comfort working with data (Excel, basic analytics).</li></ul>Soft Skills:<ul><li>Executive presence and confidence.</li><li>Attention to detail and high-quality bar.</li><li>Ability to work in fast-paced, ambiguous environments.</li></ul>Job Type: ContractPay: $97,776.36 - $117,752.17 per yearWork Location: In person

Business Data/ Strategy Analyst or Strategy Consultant.

Current

<div>
 Data Analyst, Data Analytics
 
 
 New York, NY
 
 
 
 Data Analyst
 
 
 
 Current is a leading consumer fintech platform transforming financial access for everyday Americans with over five million members. We provide access to financial solutions that seamlessly work together to solve the needs of our members and enable all Americans to build better financial futures. Based in NYC, our results-driven environment drives us to build better products, grow faster and empower everyone on our team to have an impact on our business and mission to improve financial outcomes.
 
 
 
 About The Role
 
 
 
 We are seeking a strong Data Analyst with preferably prior industry experience in FinTech and the B2C/DTC domain. You will play a crucial role in leveraging data to drive strategic decisions, optimize business performance, optimize our customer interactions, and ensure a frictionless user experience. You will leverage advanced analytics to identify trends, measure performance, and provide strategic insights that support data-driven decision-making across the organization.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Analyze large datasets to identify trends, insights, and opportunities that drive business growth.
 </li>
 <li>
 Develop and maintain dashboards and reports to track key performance indicators (KPIs) across various business functions.
 </li>
 <li>
 Partner with cross-functional teams, including Product, Engineering, Marketing, and Customer Success, to implement data-driven solutions.
 </li>
 <li>
 Identify new &amp; iterative high-impact opportunities to further scale or improve unit economic efficiency
 </li>
 <li>
 Provide actionable insights to leadership on business performance, customer behavior, and operational trends.
 </li>
 <li>
 Ensure data integrity, accuracy, and governance across multiple data sources and platforms.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 2+ years of experience in data analytics, preferably in fintech, banking, or a technology-driven industry.
 </li>
 <li>
 Strong proficiency in SQL and Python for data analysis and manipulation.
 </li>
 <li>
 Experience with data visualization tools such as Tableau, Looker, or Power BI.
 </li>
 <li>
 Familiarity with data warehousing and transformation tools such as dbt is a plus.
 </li>
 <li>
 Excellent problem-solving skills and the ability to translate complex data into actionable insights.
 </li>
 <li>
 Strong communication skills to effectively collaborate with technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Additional Skills And Qualifications
 
 
 
 <ul>
 <li>
 Experience with Looker or other business intelligence tools is preferred.
 </li>
 <li>
 Exposure to dimensional modeling concepts to power meaningful analytics.
 </li>
 <li>
 Ability to visualize data effectively and communicate insights clearly and concisely.
 </li>
 <li>
 Experience modeling data using dbt.
 </li>
 <li>
 Familiarity with machine learning techniques and predictive analytics is a plus.
 </li>
 <li>
 Experience working with Fintech, banks or a B2C company.
 
 
 </li>
 </ul>
 This role has a base salary range of $130,000.00-$175,000.00 Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary
 </li>
 <li>
 Meaningful equity in the form of stock options
 </li>
 <li>
 401(k) plan
 </li>
 <li>
 Discretionary performance bonus program
 </li>
 <li>
 Biannual performance reviews
 </li>
 <li>
 Medical, Dental and Vision premiums covered at 100% for you and your dependents
 </li>
 <li>
 Flexible time off and paid holidays
 </li>
 <li>
 Generous parental leave policy
 </li>
 <li>
 Commuter benefits
 </li>
 <li>
 Fitness benefits
 </li>
 <li>
 Healthcare and Dependent care FSA benefit
 </li>
 <li>
 Employee Assistance Programs focused on mental health
 </li>
 <li>
 Healthcare advocacy program for all employees
 </li>
 <li>
 Access to mental health apps
 </li>
 <li>
 Team building activities
 </li>
 <li>
 Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches
 </li>
 </ul>
</div>

Data Analyst, Data Analytics

Solomon Page

<div>
 Our client is seeking a detail-oriented Data Analyst to support enterprise-wide data aggregation, analysis, and reporting initiatives. This role is responsible for transforming complex datasets into meaningful insights and executive-ready presentations that support strategic decision-making. This individual contributor will play a critical role within the Strategy and Operations organization, helping leadership understand trends, volume shifts, operational drivers, and improvement opportunities. The ideal candidate combines strong technical data skills with business storytelling and stakeholder engagement capabilities.
 
 
 
 Responsibilities:
 
 
 
 
 <ul>
 <li>
 Access, review, and generate reports from systems including Salesforce, Power BI, and Tableau
 </li>
 <li>
 Develop, maintain, and enhance dashboards for data visualization (Power BI, Tableau, Salesforce reporting)
 </li>
 <li>
 Utilize SQL and Databricks to extract, manipulate, and analyze large datasets
 </li>
 <li>
 Analyze volume shifts, identify trends, and proactively report key drivers
 </li>
 <li>
 Create executive-ready presentations that clearly communicate trends, themes, and business insights
 </li>
 <li>
 Leverage AI and emerging technologies to enhance analysis and improve reporting impact
 </li>
 <li>
 Collaborate cross-functionally with Finance, Revenue Assurance, Marketing, Product, IT, and other departments for deep-dive analysis
 </li>
 <li>
 Support operations metrics, process improvement initiatives, and business cases aimed at reducing escalations
 </li>
 <li>
 Analyze complex policies and operational processes and recommend improvements
 
 
 
 </li>
 </ul>
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 4&ndash;5 years of professional experience in data analytics or related field
 </li>
 <li>
 Strong proficiency in:
 </li>
 <ul>
 <li>
 SQL
 </li>
 <li>
 Databricks
 </li>
 <li>
 Power BI
 </li>
 <li>
 Tableau
 </li>
 <li>
 Salesforce reporting
 </li>
 </ul>
 <li>
 Advanced Microsoft Office skills (Excel, PowerPoint)
 </li>
 <li>
 Experience building dashboards and presenting insights to leadership
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Ability to translate complex data into clear business narratives
 </li>
 <li>
 Excellent communication and stakeholder collaboration skills
 </li>
 </ul>
 
 Education
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business Administration, Economics, Mathematics, Data Science, or related field (preferred)
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience working in Strategy &amp; Operations or enterprise analytics environments
 </li>
 <li>
 Familiarity with AI tools or automation technologies to enhance analytics workflows
 </li>
 <li>
 Experience supporting process improvement or operational transformation initiatives
 
 
 
 </li>
 </ul>
 If you meet the required qualifications and are interested in this role, please apply today.
 
 
 
 The Solomon Page Distinction
 
 
 
 Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve.
 
 
 
 About Solomon Page
 
 
 
 Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook, and LinkedIn.
 
 
 Opportunity Awaits.
 
 
</div>

Data Analyst

Lazard

<div>
 Americas
 
 
 Asset Management
 
 
 New York
 
 
 Lazard is one of the world&rsquo;s preeminent financial advisory and asset management firms. Our people and culture make the difference. While global in presence and reach, ours is a close, collaborative community of just over 3,000 professionals. Lazard is a place of continuous knowledge sharing, skill development and relationship building, where professionals grow and succeed together. Our entrepreneurial culture, flat structure and embrace of individual differences, allow creative ideas, original concepts, and unique perspectives to drive our business forward &mdash; and for careers to take flight.
 
 
 Many of the world&rsquo;s leading investors &mdash; from individuals to institutions across the globe &mdash; have entrusted Lazard Asset Management. We pride ourselves on uncovering the best investment opportunities for our clients. The purpose of our asset management business is to help our clients invest for the future &mdash; whether it&rsquo;s for retirement, to grow and preserve inter-generational wealth, or to benefit the organizations that make our world smarter, healthier and more sustainable.
 
 
 We are seeking a mid‑tier, experienced Market Data &amp; Vendor Management Analyst to support Lazard&rsquo;s Operations team in market data acquisition and procurement, vendor oversight, licensing management, and operational data processes. The ideal candidate brings at least three-five years of industry experience, strong familiarity with leading data providers, security master, benchmark and general market data, as well as the ability to leverage AI‑based tools to streamline workflows and analysis. This role partners with investment, operations, compliance, and technology teams to ensure accurate data access, cost‑effective procurement, and sound vendor governance.
 
 
 
 We&rsquo;ll trust you to:
 
 
 
 <ul>
 <li>
 Have day‑to‑day oversight of market data and research service vendors, including SLAs, enablement, performance monitoring, entitlements, renewals, audits, and invoice review.
 </li>
 <li>
 Support the acquisition and procurement of market data products and research services, including scoping needs, coordinating evaluations, comparing vendor offerings, and supporting negotiations.
 </li>
 <li>
 Oversee data licensing terms and usage rights, including hands‑on experience with 3rd party platform licensing and entitlement management.
 </li>
 <li>
 Maintain and enhance security master data quality across instrument types (equities, fixed income, derivatives, structured products, etc.).
 </li>
 <li>
 Manage relationships and product assessments across Bloomberg, FactSet, LSEG/Refinitiv, MSCI, Charles River/State Street, and other index, pricing, and reference‑data and service providers.
 </li>
 <li>
 Collaborate with Technology on feed integration, data ingestion, entitlement workflows, light troubleshooting as well as holding vendors accountable
 </li>
 <li>
 Assist with instrument setup and related reference‑data processes.
 </li>
 <li>
 Contribute to vendor reviews, procurement planning, cost‑management strategies, and ongoing optimization of inventories and subscriptions.
 </li>
 <li>
 Support automation and efficiency initiatives, including responsible use and development of AI‑powered tools for summarization, documentation, workflow efficiency, and data processing.
 </li>
 <li>
 Maintain documentation on data sources, licensing restrictions, cost allocations, and vendor coverage.
 
 
 </li>
 </ul>
 
 You&rsquo;ll need to have:
 
 
 
 <ul>
 <li>
 3-5 years of experience in market data, vendor management, procurement, or data operations within an asset management or investment‑related organization.
 </li>
 <li>
 Strong knowledge of Bloomberg data licensing, entitlements, and product sets.
 </li>
 <li>
 Familiarity with major service providers: FactSet, LSEG/Refinitiv, MSCI, and Charles River/State Street.
 </li>
 <li>
 Demonstrated experience in acquiring and evaluating market data and research services, including cost/benefit assessments.
 </li>
 <li>
 Solid understanding of the asset management industry, security master data structures and requirements, and coverage across a broad spectrum of traded instruments.
 </li>
 <li>
 Basic technical aptitude (SQL, Excel, APIs, data formats, or integration concepts).
 </li>
 <li>
 Experience with using AI‑powered tools to support operational efficiency.
 </li>
 <li>
 Strong communication, vendor‑facing, and cross‑team collaboration skills.
 </li>
 <li>
 Ability to manage multiple workflows, maintain documentation, and support structured procurement processes.
 </li>
 <li>
 Experience with data governance programs, entitlement systems, vendor audits, and cost‑optimization initiatives.
 </li>
 <li>
 Exposure to portfolio management or analytics platforms (Bloomberg, FactSet, Charles River, etc).
 </li>
 <li>
 Background in procurement processes, data coordination, access and integration, and vendor selection product offering frameworks.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 We strive to enhance the total health and well-being of our employees through comprehensive, competitive benefits. Our goal is to offer a highly individualized employee experience that enables you to balance your commitments to career, family, and community. When you work for Lazard, you are working for an organization that cares about your unique talents and passions and will continue to invest in the development of your career.
 
 
 We expect the base salary range for this role to be approximately $80,000-100,000 USD. Various factors contribute to determining the actual base compensation offered, including but not limited to the applicant&rsquo;s years of relevant experience, career tenure, qualifications, level of education attained, certifications or other professional licenses held, relevant skills for the role. Base salary is one component of Lazard Asset Management&rsquo;s compensation package, which also includes comprehensive benefits and may include incentive compensation.
 
 
 
 Does this sound like you?
 
 
 
 Apply! We&rsquo;ll get in touch on the next steps.
 
 
 
 Representation at Lazard
 
 
 
 Lazard is an intellectual capital business committed to delivering the best advice and solutions to clients. To achieve these objectives, we focus on attracting, developing and retaining the best talent. We believe that a workforce comprised of people who represent a wide array of backgrounds, experiences and perspectives creates a rich variety of thought that empowers us to challenge conventional wisdom, solve problems creatively and make better decisions.
 
 
 Lazard was built on the premise that a multicultural firm can best serve a global clientele. As a global firm that has grown organically from local roots in different countries, we have a deep tradition of respecting and appreciating individual differences. Doing so has been core to our success for over 175 years. We are committed to sustaining an environment where every colleague is supported in their professional pursuits, can maximize their individual potential and contribute to our collective success.
 
 
</div>

Market Data Analyst

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, Mathematics or a related field and 6 years of experience in the job offered or in a Business Data Science-related occupation.
 </li>
 <li>
 Alternatively, will accept a Master&rsquo;s degree in Data Science, Statistics, Computer Science, Mathematics or a related field, and 4 years of experience in the job offered or in a Business Data Science-related occupation.
 </li>
 <li>
 Position requires 4 years of experience in the following:
 </li>
 <ul>
 <li>
 SQL for querying databases and extracting data
 </li>
 <li>
 Data extraction, manipulation, and cleaning for analysis
 </li>
 <li>
 Framing ambiguous business problems into tractable quantitative problems
 </li>
 <li>
 Python or R for statistical analysis and implementing algorithms
 </li>
 <li>
 Presenting and defending data-driven solutions to senior leadership
 
 
 </li>
 </ul>
 </ul>
 
 About The Job
 
 
 
 The US base salary range for this full-time position is $169,550 - $239,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
 
 
 Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
 
 
 Position reports to the Google New York, New York office and may allow for a hybrid schedule per Google policy.
 
 
 The Global Business Organization (GBO) is the engine that powers Google&rsquo;s full ecosystem of products and services to help customers and partners succeed and grow. GBO includes the commercial arms of Ads sellers, business development teams, and customer services and support, as well as overlay programs that enable coordinated engagement with Google's most complex and important customers and partners.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate with stakeholders to translate business goals into tractable analytical questions, defining requirements and roadmaps.
 </li>
 <li>
 Lead the gathering, extraction, and validation of data from diverse sources, ensuring quality, security, and confidentiality.
 </li>
 <li>
 Formulate and interpret complex datasets to generate actionable conclusions and provide expert guidance on analytical challenges.
 </li>
 <li>
 Develop key performance metrics and create automated dashboards and tools to monitor solutions and guide product decisions.
 </li>
 <li>
 Drive product strategy by identifying gaps through data analysis, helping teams prioritize work, and influencing business decisions. Implement and scale solutions by writing production-level code, creating reusable documentation, and driving adoption of recommendations.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Business and Marketing Data Scientist

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

Healthix

<div>
 
 JOB TITLE:
 
 Data Analyst
 
 
 
 REPORTS TO:
 
 Director of Data Strategy and Reporting
 
 
 
 DEPARTMENT:
 
 IT
 
 
 
 HOURS:
 
 40 Hours
 
 
 
 FLSA STATUS:
 
 Exempt
 
 
 
 SALARY:
 
 $90k-125k
 
 
 
 POSITION SUMMARY:
 
 
 
 The Data Analyst provides the foundation for analytics, namely the collection, quality assurance and availability of data. This IT role requires a significant set of technical skills, including a deep knowledge of SQL, SQL database design and multiple programming languages as well as communication skills to understand what data and analysis the healthcare analysts want to gain from Healthix data stores. They are responsible for the maintenance, improvement, cleansing and manipulation of data in the organization's operational and analytics databases. The Data Analyst works with team members to define and build data pipelines to orchestrate the movement, transformation, validation, and loading of data from the source to the final destination - data stores defined and implemented based on system requirements and data consumer requirements.
 
 
 Typical tasks performed include working with the data architect on data warehouse design, ensuring data loads quickly, is easily accessible and rapidly comprehensible for analysts/users; extract, transform, and load (ETL) processing; performing thorough testing and validation in order to support the accuracy of data transformations and data verification to ensure correctness and that data is generally reliable for downstream consumption; data bounds checking and database tuning.
 
 
 The Data Analyst strives to ensure proper data governance and quality for the Data Strategy team and the entire organization. They analyze complex data elements and systems, data flow, dependencies, and relationships to contribute to conceptual physical and logical data models. They work collaboratively within the Data Strategy team, providing support for their data centric needs. The candidate has strong working and conceptual knowledge of database queries multidimensional query and index tuning, monitoring, disaster recovery, backup, automated testing, automated schema migration, and continuous deployment.
 
 
 
 Requirements
 
 
 
 
 Essential Duties and Responsibilities:
 
 
 
 <ul>
 <li>
 Enhance and streamline data and pipeline architecture to improve data flow and collection
 </li>
 <li>
 Partner with software developers, database architects, and data analysts to support data initiatives and ensure reliable data delivery
 </li>
 <li>
 Independently address the data requirements of multiple teams, systems, and products
 </li>
 <li>
 Refine or redesign Healthix's data architecture to enable next‑generation products and data capabilities
 </li>
 <li>
 Build and maintain scalable data pipelines and reporting solutions to support growing data volumes, performance and complex queries across Databricks, MS SQL Server, and Intersystems HealthShare
 </li>
 <li>
 Work with Data Strategy and Business teams to improve data models and increase data accessibility for business intelligence
 </li>
 <li>
 Implement monitoring processes to safeguard data quality, accuracy, and availability for key stakeholders
 </li>
 <li>
 Develop queries, support reporting needs, and tailor reporting solutions to enable data‑driven decision‑making
 </li>
 <li>
 Develop and execute unit and data validation tests while maintaining accurate documentation, perform data analysis to troubleshoot issues, support feasibility assessments, evaluate health outcomes, and resolve data‑related problems
 </li>
 <li>
 Provide general reporting and project support across the organization
 </li>
 <li>
 Ensure reporting meets standards for reliability, accuracy, completeness, and compliance
 </li>
 <li>
 Support the development, ETL processes, and maintenance of company data assets and data models, design data integrations and data quality frameworks
 </li>
 <li>
 Evaluate open‑source and vendor data‑lineage tools and contribute to long‑term data platform architecture planning across IT and Business teams
 </li>
 <li>
 Assist in developing an integrated data warehouse to provide a comprehensive healthcare dataset
 
 
 </li>
 </ul>
 
 Supervisory Responsibilities:
 
 
 
 <ul>
 <li>
 This job has no supervisory responsibilities
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 5+ years of experience in a Data Analyst role, with a graduate degree in Computer Science, Statistics, Healthcare Informatics, Informatics, Information Systems, or a related field. IBM Certified Data Engineer or Google Certified Professional is preferred
 </li>
 <li>
 Experience with healthcare data, including HL7, CCDAs, MS SQL Server, Databricks, Tableau, Intersystems HealthShare, and Cache databases
 </li>
 <li>
 Advanced SQL knowledge and experience with relational databases, query authoring, and familiarity with various databases
 </li>
 <li>
 Proficient in database design principles, including relationships, normalization, structures, indexes, views, and analyzing database requirements
 </li>
 <li>
 Experience in building and optimizing big data pipelines, architectures, and data sets
 </li>
 <li>
 Strong analytical skills and experience in performing root cause analysis on data and processes to answer business questions and identify improvement opportunities
 </li>
 <li>
 Experience in developing processes for data transformation, structures, metadata, dependency, and workload management
 </li>
 <li>
 Working knowledge of message queuing, stream processing, and scalable big data stores
 </li>
 <li>
 Proficient in big data tools such as Hadoop, Spark, and Kafka
 </li>
 <li>
 Experience with relational SQL and NoSQL databases
 </li>
 <li>
 Strong programming skills with languages like Python, Java, C++, and Scala
 </li>
 <li>
 Ability to architect end-to-end ETL pipelines
 </li>
 <li>
 Experience with AWS services and BI tools like Tableau
 </li>
 <li>
 Strong quantitative, analytical, process development, facilitation, and organizational skills
 </li>
 <li>
 Excellent documentation and verbal communication skills, with the ability to clearly communicate technical concepts to both technical and non-technical stakeholders
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 SALARY:
 
 $90k-125k
 
 
 We're committed to supporting our team both professionally and personally. Our benefits include a flexible hybrid work environment, generous paid time off, comprehensive medical, dental, and vision coverage, a 401(k) with company match, commuter benefits, and additional perks designed to support your well-being.
</div>

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