data analyst

business analyst

analyst

analyst - seo

analyst engineer

research analyst

Turing

<div>
 
 
 About the Role:
 
 
 
 Join us as an Research Analyst and help shape the future of large language models (like GPT). You&rsquo;ll work on fascinating analytical questions, research real-world scenarios, and create structured content that improves how AI understands and responds. No AI experience is required&mdash;just strong English skills, sharp reasoning, and curiosity.
 
 
 
 
 
 
 What You&rsquo;ll Do:
 
 
 <ul>
 <li>
 Read, analyze, and break down large content into smaller logical blocks.
 </li>
 <li>
 Validate claims and conduct online research to ensure accuracy.
 </li>
 <li>
 Create puzzles, scenarios, and tricky questions to train AI models.
 </li>
 <li>
 Provide clear, structured feedback to fine-tune responses
 </li>
 <li>
 Collaborate with global teams in a fully remote setup.
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 <ul>
 <li>
 Excellent English comprehension and writing skills.
 </li>
 <li>
 Strong analytical and creative problem-solving ability.
 </li>
 <li>
 Detail-oriented with good research and feedback skills.
 </li>
 <li>
 No AI experience required
 </li>
 <li>
 Bachelor&rsquo;s in Engineering, Literature, Journalism, Arts, Statistics&mdash;or relevant experience.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us:
 
 
 <ul>
 <li>
 Competitive pay and flexible remote work.
 </li>
 <li>
 Learn how advanced AI systems are trained.
 </li>
 <li>
 Be part of cutting-edge projects with top LLM companies.
 </li>
 <li>
 Potential for contract extension.
 </li>
 <li>
 Freelance perks: flexibility, global collaboration, and future-proof skills.
 </li>
 </ul>
 
 
 
 
 
 Offer Details:
 
 
 <ul>
 <li>
 Commitments Required: 40 hours per week with 4 hours of overlap with PST.
 </li>
 <li>
 Engagement type: Contractor assignment/freelancer (no medical/paid leave)
 </li>
 <li>
 Duration: 1 month.
 </li>
 </ul>
 
 
 
 
 
 Application Process:
 
 
 <ul>
 <li>
 Shortlisted candidates will be sent an automated challenge (60 mins).
 </li>
 <li>
 Once you clear the challenge, we will reach out to you for an interview.
 </li>
 <li>
 Once you clear the interview, you are ready to go!
 </li>
 </ul>
 
 
 
 
 
 About Turing:
 
 
 
 Turing, based in San Francisco, is the world&rsquo;s leading research accelerator for frontier AI labs and a trusted partner for global enterprises. We advance cutting-edge research with high-quality data, training pipelines, and top AI talent across coding, reasoning, STEM, multilinguality, multimodality, and agents. We also help enterprises turn AI from proof-of-concept into proprietary systems that deliver reliable performance, measurable impact, and real results on the P&amp;L.
 
 
 
 
 
 
 After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
 
 
 
 
 
 
 Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
 
</div>

Remote Research Analyst

<div>
 
 Company Description
 
 
 
 
 WNS (Holdings) Limited (NYSE: WNS),
 
 is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.
 
 
 We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Our global footprint spans 16 countries with 61 delivery centers worldwide including in China, Costa Rica, India, the Philippines, Poland, Romania, South Africa, Spain, Sri Lanka, Turkey, United Kingdom and the United States.
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Populate databases (e.g., drug information, company deals, pricing, launch dates, global market access statistics) with information provided from various sources including secondary data from information resources or research teams or data procured by the research services analyst team
 </li>
 <li>
 Extract data as needed for delivery to analyst teams
 </li>
 <li>
 Creation and population of PowerPoint and Excel templates (including leveraging technology such as e-tabs to produce), tables, figures, and graphics, in support of building final client deliverables
 </li>
 <li>
 Interpreting data and bulleted text provided by Analysts and other staff and translating them into carefully crafted presentations and other professional deliverables.
 </li>
 <li>
 Process primary market research data, including conducting cross-tabulations, statistical analysis (e.g., t-test, z-test, ANOVA, Chi-square) and frequency table (e.g., frequencies, counts, percentages, mean, median, standard deviations) generation
 </li>
 <li>
 Data validation and preparation &ndash; perform quality checks and cleaning of raw primary market research data
 </li>
 <li>
 Performing edits on reports, slide decks, consulting projects, and other company publications to ensure professionalism and quality and adherence to house style
 </li>
 <li>
 Identifying discrepancies and spotting holes in logic between text and data tables
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Undergraduate degree (e.g. Bachelor&rsquo;s degree) with a proven record of academic success is required
 </li>
 <li>
 Business or Commerce degree is a plus
 </li>
 <li>
 Advanced degree (MA, MBA, MS in life sciences, social sciences, or statistics) and/or relevant experience in the biopharma, healthcare, or market research sector a plus
 </li>
 <li>
 Excellent attention to detail and an instinct for recognizing patterns, creating categories, and organizing ideas
 </li>
 <li>
 Strong analytical skill set, including proficiency with SPSS analytical software is required
 </li>
 <li>
 Proficient in English grammar and spelling
 </li>
 <li>
 Ability to communicate clearly, concisely, and objectively in written and spoken English
 </li>
 <li>
 Proficiency in software including E-tabs, SQL, and Tableau is a plus
 </li>
 <li>
 A flexible and collaborative approach to work
 </li>
 <li>
 Proven teamwork skills and a willingness to work with others both in person and remotely
 </li>
 <li>
 Capable of working independently and making informed decisions
 </li>
 <li>
 Willingness to question assumptions, theories, and facts
 </li>
 <li>
 Ability to recognize what is missing in content, argument, or presentation
 </li>
 <li>
 Strong critical thinking and analytical skills (must be capable of working with and analyzing data)
 </li>
 <li>
 Strong time management skills and the ability to work well under pressure and meet tight deadlines
 </li>
 <li>
 Strong initiative and highly self-motivated
 </li>
 <li>
 Ability to provide new ideas and adapt to process improvements and/or new technological tools
 </li>
 <li>
 Strong Proficiency in Microsoft Word, Excel, and PowerPoint, plus other technologies and software as required
 </li>
 <li>
 Knowledge of pharmaceutical and/or medical device industries an asset but not required
 </li>
 <li>
 Experience in analyzing, interpreting, and data visualizing complex datasets
 </li>
 <li>
 Ability to prioritize effectively and adopt a systematic approach to tasks
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 Ability to work on multiple requests in a fast-paced environment Excellent written and verbal communication skills, Rotational shift
 
 
 2 years SLA
 
 
 Excellent comm. Skill
</div>

Sr. Analyst - Market Research (PMR Analyst) (R&A)

Infosys

<div>
 
 
 Job Profile: Marketing Analyst
 
 
 
 
 
 
 
 Location: Bangalore &ndash; Ecity Campus
 
 
 
 
 
 
 The Marketing Analyst will assist in developing, implementing, and analyzing marketing strategies to drive learner engagement which includes, initiation, consumption and completion of learning content / courses for Infosys Springboard. This role requires strong analytical abilities, creativity, and a keen sense of edtech market trends to ensure the offerings reach their intended audience effectively. This role collaborates with cross-functional teams and assists in managing campaigns, budgets, and vendor relationships to achieve the ESG objectives of Infosys Springboard.
 
 
 
 
 
 
 Core Responsibilities:
 
 
 
 &middot; Assist in planning and executing marketing campaigns (digital, print, events, etc.).
 
 
 &middot; Conduct market research and analyze trends to identify opportunities and threats.
 
 
 &middot; Coordinate with creative teams, agencies, and vendors to deliver marketing materials on schedule.
 
 
 &middot; Monitor campaign performance and analyze reports
 
 
 &middot; Support the development of marketing collateral and presentations.
 
 
 &middot; Participate in organizing promotional events and product launches.
 
 
 &middot; Assist with communications and audience engagement initiatives.
 
 
 &middot; Ensure brand consistency across all marketing channels and materials.
 
 
 
 
 
 
 Essential Skills and Qualifications:
 
 
 
 &middot; Marketing Knowledge: Understanding of marketing principles, strategies, and tactics.
 
 
 &middot; Communication Skills: Excellent verbal and written communication abilities to convey ideas clearly.
 
 
 &middot; Analytical Thinking: Strong ability to analyze data, interpret metrics, and generate actionable insights.
 
 
 &middot; Digital Marketing: Familiarity with digital marketing tools, SEO/SEM, email marketing, and social media platforms.
 
 
 &middot; Project Management: Ability to manage multiple projects simultaneously, prioritize tasks, and meet deadlines.
 
 
 &middot; Teamwork: Collaborative mindset and ability to work effectively with cross-functional teams.
 
 
 &middot; Attention to Detail: Meticulous in reviewing marketing materials and ensuring accuracy.
 
 
 &middot; Technical Proficiency: Skilled in Microsoft Office Suite (Word, Excel, PowerPoint) and creative tools (Canva, figma, Adobe creative suit). Good to know: marketing software (e.g., HubSpot, Google Analytics).
 
 
 &middot; Adaptability: Comfortable working in a fast-paced, changing environment
 
 
 &middot; Attitude of learning, delegating and working as a team, ranks the highest!
 
 
 
 
 
 
 Educational Background
 
 :
 
 
 Master&rsquo;s degree in Marketing, Business Administration, Communications, or a related field is typically required.
 
 
 
 
 
 
 Experience
 
 :
 
 
 Prior experience in marketing, sales support, or administrative roles is often preferred.
 
 
 
 
 
 
 Skill List:
 
 
 
 &middot; Campaign Planning and execution
 
 
 &middot; Brand Management
 
 
 &middot; Digital marketing
 
 
 &middot; Content creation and strategy
 
 
 &middot; Market research and consumer insights
 
 
 &middot; Marketing analytics and reporting
 
 
 &middot; Email marketing
 
 
 &middot; Event management
 
 
 
</div>

Marketing Analyst-Infosys Springboard

M3 USA

<div>
 
 
 
 About M3:
 
 
 A Japanese global leader in the provision of ground-breaking and innovative technological and research solutions to the healthcare industry. The M3 Group operates in the US, Asia, and Europe with over 5.8 million physician members globally via its physician websites which include mdlinx.com, m3.com, research.m3.com, Doctors.net.uk, medigate.net, and medlive.cn. M3 Inc. is a publicly traded company on the Tokyo Stock Exchange (jp:2413, NIKKEI 225) with subsidiaries in major markets including the US, UK, Japan, South Korea, and China, and in 2020 was ranked in Forbes&rsquo; Global 2000 list. The M3 Group provides services to healthcare and the life science industry. In addition to market research, these services include medical education, ethical drug promotion, clinical development, job recruitment, and clinic appointment services. M3 has offices in Japan, UK, France, Germany, Brazil, Sweden, China, USA, and South Korea, as well as India.
 
 
 
 
 Due to our continued growth, we are hiring for a
 
 Data Analyst
 
 to join M3 Global Research, an M3 company.
 
 
 
 
 
 About the Business Unit:
 
 
 
 
 
 M3 Global Research, part of M3 Inc., provides the most comprehensive and highest quality market research recruitment and support services available to the industry with relationships reaching respondents in more than 70 countries worldwide.
 
 
 
 
 M3 Global Research maintains ISO 26362 and 27001 certifications with the highest quality data collection and project management capabilities that cover the spectrum of quantitative and qualitative techniques utilized today. M3 services incorporate all of the most advanced statistical and attitudinal methodologies allowing clients to provide world-class offerings and support services to their end-client customers throughout multiple industry sectors.
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 Essential Duties and Responsibilities
 
 
 
 Including, but not limited to the following:
 
 
 
 <ul>
 <li>
 Support the day-to-day data needs of internal clients by:
 <ul>
 <li>
 Clarifying requests as needed
 </li>
 <li>
 Preparing the data
 </li>
 <li>
 Performing list matches using a mixture of in house developed tools and MS Excel
 </li>
 <li>
 Reporting upon the results
 </li>
 </ul>
 </li>
 <li>
 Work directly with internal clients on the above
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Sciences/B.Tech/MCA/MCA
 </li>
 <li>
 Market research experience preferred
 </li>
 <li>
 Knowledge of SQL a plus
 </li>
 <li>
 Client Service experience a plus
 </li>
 <li>
 Advanced Excel &ndash; the ability to develop PivotTables/Charts as well as complex formulas
 </li>
 <li>
 Candidates must be customer service oriented with a positive, can-do attitude
 </li>
 <li>
 Organized, self-motivated, and self-directed
 </li>
 <li>
 Strong understanding of data structure and management
 </li>
 <li>
 Excellent interpersonal communication skills &ndash; both verbal and written
 </li>
 <li>
 Exceptional ability to multi-task and balance multiple projects and priorities
 </li>
 <li>
 Exceptional time management, organizational skills, attention to detail and ability to multitask
 </li>
 <li>
 Excellent attention to detail and commitment to accuracy and integrity of information
 </li>
 <li>
 Experience working within a market research company or other type of quantitative research organization desirable, but not required
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 
 We are targeting candidates located in India for this opportunity. Please submit all resumes in English.
 
 
 
 
 
 
 Must be available to work US EST time zone hours
 
 
 
 
 
 *M3 reserves the right to change this job description to meet the business needs of the organization
 
 
 
 
 
 
</div>

Data Analyst

Deloitte

<div>
 
 
 What impact will you make?
 
 
 
 Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services
 
 
 
 Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential.
 
 
 
 
 The Team
 
 
 
 Deloitte&rsquo;s Technology &amp; Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence &amp; visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.
 
 
 
 
 
 
 Deloitte Bangalore is Hiring | Senior Business Analyst &ndash; BFSI Domain (9+ Years Experience)
 
 
 
 As a
 
 Senior Business Analyst
 
 , you will define, analyze, and deliver business and system requirements that drive transformation in the BFSI domain. You&rsquo;ll work closely with stakeholders, perform data-driven analysis, and ensure compliance with regulatory standards while enabling innovative solutions.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Define and develop
 
 fit-for-purpose system requirements
 
 and acceptance criteria.
 </li>
 <li>
 Perform
 
 data analysis
 
 to support requirement development and decision-making.
 </li>
 <li>
 Conduct
 
 as-is and future-state system analysis
 
 to enable seamless project delivery.
 </li>
 <li>
 Ensure requirements comply with
 
 internal policies and external regulations
 
 .
 </li>
 <li>
 Collaborate with cross-functional teams to explore and implement business initiatives.
 </li>
 <li>
 Create or adapt
 
 models and frameworks
 
 to support business unit requirements.
 </li>
 </ul>
 
 
 
 
 
 What You&rsquo;ll Bring
 
 
 
 
 Must-Have Skills &amp; Experience:
 
 
 <ul>
 <li>
 
 9+ years of experience
 
 as a Business Analyst in the BFSI domain.
 </li>
 <li>
 Strong expertise in
 
 business systems analysis
 
 and requirements elicitation techniques.
 </li>
 <li>
 Solid understanding of
 
 project management lifecycles
 
 and large-scale project delivery.
 </li>
 <li>
 Ability to work autonomously on complex tasks and collaborate effectively in teams.
 </li>
 <li>
 Proficiency in
 
 financial data analysis
 
 and banking processes, especially
 
 risk management systems
 
 .
 </li>
 <li>
 Hands-on experience with:
 </li>
 <li>
 
 SQL and SAS
 
 for database analysis
 </li>
 <li>
 
 Microsoft Excel, Access, Word, PowerPoint
 
 </li>
 <li>
 Strong
 
 communication, problem-solving, and quantitative analysis
 
 skills.
 </li>
 <li>
 Ability to translate analysis outcomes into
 
 commercial solutions
 
 .
 </li>
 </ul>
 
 
 Good-to-Have Skills:
 
 
 <ul>
 <li>
 Experience in
 
 Quality Assurance
 
 and solution validation.
 </li>
 <li>
 Knowledge of
 
 solution design
 
 and systems analysis for IT implementations.
 </li>
 <li>
 Strong presentation and stakeholder engagement skills.
 </li>
 </ul>
 
 
 
 
 
 How you will grow
 
 
 
 At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there is always room to learn. We offer opportunities to help build excellent skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career.
 
 Explore Deloitte University, The Leadership Centre.
 
 
 
 
 Benefits
 
 
 
 At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits.
 
 Learn more about what working at Deloitte can mean for you.
 
 
 
 
 Our purpose
 
 
 
 Deloitte is led by a purpose:
 
 To make an impact that matters
 
 .
 
 
 Every day, Deloitte people are making a real impact in the places they live and work. We pride ourselves on doing not only what is good for clients, but also what is good for our people and the
 
 
 Communities in which we live and work&mdash;always striving to be an organization that is held up as a role model of quality, integrity, and positive change.
 
 Learn more about Deloitte's impact on the world
 
 
 
 
 Recruiter tips
 
 
 
 We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the
 
 
 organization and the business area you are applying to.
 
 Check out recruiting tips from Deloitte professionals.
 
 
 
 
</div>

Senior Business Analyst - Open Banking

Myntra

<div>
 
 About The Company
 
 
 
 
 Who are we?
 
 
 
 Myntra is India&rsquo;s leading fashion and lifestyle platform, where technology meets creativity. As pioneers in fashion e-commerce, we&rsquo;ve always believed in disrupting the ordinary.
 
 
 We thrive on a shared passion for fashion, a drive to innovate to lead, and an environment that empowers each one of us to pave our own way. We&rsquo;re bold in our thinking, agile in our execution, and collaborative in spirit.
 
 
 Here, we create MAGIC by inspiring vibrant and joyous self-expression and expanding fashion possibilities for India, while staying true to what we believe in.
 
 
 We believe in taking bold bets and changing the fashion landscape of India. We are a company that is constantly evolving into newer and better forms and we look for people who are ready to evolve with us.
 
 
 From our humble beginnings as a customization company in 2007 to being technology and fashion pioneers today, Myntra is going places and we want you to take part in this journey with us.
 
 
 Working at Myntra is challenging but fun - we are a young and dynamic team, firm believers in meritocracy, believe in equal opportunity, encourage intellectual curiosity and empower our teams with the right tools, space, and opportunities.
 
 
 
 About Team
 
 
 
 The Myntra Data Science team is at the forefront of innovation, delivering cutting-edge solutions that drive significant revenue and enhance customer experiences across various touchpoints. Every quarter, our models impact millions of customers, leveraging real-time, near-real-time, and offline solutions with diverse latency requirements. These models are built on massive datasets, allowing for deep learning and growth opportunities within a rapidly expanding organization. By joining our team, you'll gain hands-on experience with an extensive e-commerce platform, learning to develop models that handle millions of requests per second with sub-second latency.
 
 
 We take pride in deploying solutions that not only utilize state-of-the-art machine learning techniques&mdash;such as graph neural networks, diffusion models, transformers, representation learning, optimization methods, and Bayesian modeling&mdash;but also contribute to the research community with multiple peer-reviewed publications.
 
 
 
 Roles And Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and deploy advanced machine learning models and algorithms for Forecasting, Operations Research, and Time Series applications.
 </li>
 <li>
 Build and implement scalable solutions for supply chain optimization, demand forecasting, pricing, and trend prediction.
 </li>
 <li>
 Develop efficient forecasting models leveraging traditional and deep learning-based time series analysis techniques.
 </li>
 <li>
 Utilize optimization techniques for large-scale nonlinear and integer programming problems.
 </li>
 <li>
 Hands-on experience with optimization solvers like CPLEX, Gurobi, COIN-OR, or similar tools.
 </li>
 <li>
 Collaborate with Product, Engineering, and Business teams to understand challenges and integrate ML solutions effectively.
 </li>
 <li>
 Maintain and optimize machine learning pipelines, including data cleaning, feature extraction, and model training.
 </li>
 <li>
 Implement CI/CD pipelines for automated testing, deployment, and integration of machine learning models.
 </li>
 <li>
 Work closely with the Data Platforms team to collect, process, and analyze data crucial for model development.
 </li>
 <li>
 Stay up to date with the latest advancements in machine learning, forecasting, and optimization techniques, sharing insights with the team.
 
 
 </li>
 </ul>
 
 Qualifications &amp; Experience
 
 
 
 <ul>
 <li>
 1-3 years of experience with a Master&rsquo;s degree or 2-4 years of experience with a Bachelor&rsquo;s degree in Statistics, Operations Research, Mathematics, Computer Science, or a related field.
 </li>
 <li>
 Strong foundation in data structures, algorithms, and efficient processing of large datasets.
 </li>
 <li>
 Proficiency in Python for data science and machine learning applications.
 </li>
 <li>
 Experience in developing and deploying forecasting and time series models.
 </li>
 <li>
 Knowledge of ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
 </li>
 <li>
 Hands-on experience with optimization solvers and algorithms for supply chain and logistics problems.
 </li>
 <li>
 Strong problem-solving skills with a focus on applying OR techniques to real-world business challenges.
 </li>
 <li>
 Good to have research publications in Machine Learning, Forecasting, or Operations Research.
 </li>
 <li>
 Familiarity with cloud computing services (AWS, Google Cloud) and distributed systems.
 </li>
 <li>
 Strong communication skills with the ability to work independently and collaboratively in a team environment.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with Generative AI and Large Language Models (LLMs).
 </li>
 <li>
 Knowledge of ML orchestration tools such as Airflow, Kubeflow, and MLflow.
 </li>
 <li>
 Exposure to NLP and Computer Vision applications in an e-commerce setting.
 </li>
 <li>
 Understanding of ethical considerations in AI, including bias, fairness, and privacy.
 
 
 </li>
 </ul>
 Exceptional candidates are encouraged to apply, even if they don&rsquo;t meet every listed qualification. We value potential and a strong willingness to learn.
 
 
 
 Required Skills
 
 
 
 Python, Forecasting, OR tools, optimization, Cplex, gurobi
 
 
 
 Required Education
 
 
 
 B.Tech
</div>

Operation Research Scientist

Roku

<div>
 Teamwork makes the stream work.
 
 &nbsp;
 
 
 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.
 
 
 &nbsp;
 
 
 
 About the Team
 
 
 
 
 
 
 The Core Payments team has been instrumental in Roku's exponential growth in online subscriptions, achieved through an in-streaming, on-TV purchase experience. Core Payments supports various teams across Roku; spanning multiple consumer interfaces, including TV, web, mobile, and advertising. These diverse teams have developed unique strategies for selling digital content access, encompassing Subscription Video on Demand/Transactional Video on Demand (SVOD/TVOD), company-branded devices, and on-device shoppable ads.
 
 
 
 About the Role
 
 
 
 
 
 
 We are seeking a Senior Data Analyst to join our dynamic Payments team. This individual will be tasked with investigating and developing solutions to track, monitor, and enhance our payment ecosystems. They will diagnose and proactively address emerging patterns, executing a strategy aimed at delivering an improved consumer and partner experience. The ideal candidate is analytically driven, detail-oriented, and possesses advanced problem-solving skills. They must have a deep understanding and experience in payments data, as they will collaborate closely with Product Managers and Operations teams to provide insights and performance-related details.
 
 
 
 What you'll be doing:
 
 
 <ul>
 <li>
 Identify opportunities for improvement within our payment services, effectively communicating with product management and engineering teams
 </li>
 <li>
 Lead the identification of issues and incidents, conduct business impact analysis, and engage with the wider team for resolution
 </li>
 <li>
 Focus on optimising processing costs to deliver a positive impact on payment processing expenses
 </li>
 <li>
 Oversee end-to-end payment processes and requirements, while contributing insights to develop world-class billing products and processes
 </li>
 <li>
 Collaborate with internal teams to identify and implement strategies to accommodate evolving consumer payment preferences
 </li>
 <li>
 Engage with internal and external partners to identify optimisation opportunities and contribute to building a world-class subscription payment processing and billing platform
 </li>
 <li>
 Collaborate closely with the Payment Protection team to monitor fraud/risk patterns and minimise chargeback losses.
 </li>
 </ul>
 
 
 We're excited if you have:
 
 
 <ul>
 <li>
 8 years of experience as an Analyst, Consultant, or in a related occupation&nbsp;
 </li>
 <li>
 Quantitative analysis, including interpreting large, structured data and formulating recommendations
 </li>
 <li>
 Performing data analysis, developing strategies, driving implementation, and delivering post-launch performance results
 </li>
 <li>
 Strong proficiency in SQL, Hive QL, and Hadoop for data extraction and query optimization
 </li>
 <li>
 Hands-on experience in visualization using Tableau or similar statistical/reporting packages
 </li>
 <li>
 Proficiency in Python and Shell as scripting languages (preferred)
 </li>
 <li>
 Advanced skills in MS Excel and MS PowerPoint
 </li>
 <li>
 Experience in the payments/e-commerce domain
 </li>
 <li>
 Working with transactional systems, processes, A/B tests, or analytics in a technology company
 </li>
 <li>
 Real-world experience in Risk Management and Risk Analytics
 </li>
 <li>
 Exposure to Incident/Escalations processes
 </li>
 <li>
 In-depth knowledge of the Payment Product domain and Payment Service technical implementation stacks
 </li>
 <li>
 Working collaboratively with multiple teams internally and externally
 </li>
 <li>
 Bachelor's degree or foreign equivalent in Electronics Engineering, Mathematics, Statistics, Economics, Operations Research, Computer Science, or a related field
 </li>
 </ul>
 
 &nbsp;
 
 
 &nbsp;
 
 
 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.
 
 
 &nbsp;
 
 
 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.
 
 
 &nbsp;
 
 
 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.
 
 
 &nbsp;
 
 
 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.
 
 
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