\nThe growing Match Group Central Platforms team is looking for an analyst to work cross-functionally with the Match Group organization, and our portfolio of brands, to help identify, understand, and improve business, operations, and product challenges. Reporting to the Director of Product, the Senior Data Analyst will deliver high-quality strategic and tactical analysis; collaborating with the product, engineering, data science, business intelligence, member experience and operations teams. \n\n\nKnow where you belong. Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Match, Hinge, Plenty of Fish, The League, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn’t stop at our products - it’s the foundation of every team we hire.\n\n\nWe are flexible and offer full remote or hybrid working models as options to accommodate our team. Match Group is headquartered in Dallas, TX, with offices in LA, Palo Alto, and New York. \n\n\n\n\n\nIn this role you will: \n* Own defining, tracking, and monitoring business KPIs for the Central Platforms Product team.\n* Partner with product managers to create hypotheses, define quantitative goals, and design experiments for roadmap projects\n* Partner with engineering to improve data collection through data infrastructure design, data pipelining, and warehousing solutions\n* Collaborate with cross-functional teams, including business stakeholders, developers, and data engineers, to identify data requirements, gather feedback, design and implement solutions.\n* Conduct exploratory data analysis to discover patterns and insights to inform future strategy. \n* Gather, compile, and extract meaningful insights from complex datasets, using statistical techniques and machine learning algorithms when applicable.\n* Summarize and evangelize your findings across the company; providing Executives, Product Managers, Engineering teams, and other Data Analysts with deep-dive quantitative analyses in an immediately usable format, extracting key insights from extensive, complex data sets\n* Proactively find opportunities to take analytics framework into the next level and lead stakeholders to adopt new frameworks and methodologies\n* Take ownership of ambiguous and complex analytical assignments\n\n\n\nWe could be a Match if you have: \n* 5+ years of progressive experience using quantitative analysis to make business-focused recommendations\n* 3+ years of analytics experience working directly with product managers or embedded within a product team\n* Experience with data warehousing, data pipelining solutions a plus\n* Familiarity with machine learning concepts and algorithms\n* Proven technical data analytics skills in working with large amounts of data at different levels of aggregation, from raw telemetry to metric stores. \n* Working knowledge of trust and safety analytics metrics (fraud signals, bad actor patterns, etc.)\n* Strong understanding of incrementally as well as sizing business problems and opportunities\n* Understanding of basic statistical concepts such as confidence interval, normal distribution, correlation, linear regression, and multivariate testing\n* Strong communication skills at different levels of organizational hierarchy\n* Proactive skill set that encompasses problem identification, analysis, solution definition, results, and communication\n* Proficiency with SQL, R and Python (or equivalent)\n* In depth experience with data visualization and analytical tools (E.g. Tableau, Power BI, Looker)\n\n\n\n\n$118,000 - $141,500 a yearFactors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Los Angeles, CA. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.\n\n#LI-CENTRAL\n\n\n#LI-REMOTE\n\n\n#LI-CH1\n\n\nWhy Match Group?\n\n\nOur mission is simple – to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer: \n\n\nMind & Body – Medical, mental health, and wellness benefits to support your overall health and well-being\nFinancial Wellness – Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security\nUnplug – Generous PTO and 18 paid holidays so you can unplug\nCareer – Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work\nFamily – Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts  \nCompany Gatherings – We host fun happy hours and company events where our employees get to know each other and build a sense of connection and belonging!\n\n\nWe are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic.  Period. \n\n\nIf you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact [email protected]. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Embedded, Python and Senior jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nWho you are\n\nReporting to the Director of In-Ride Experience, the ideal candidate has a strong foundation in data analytics and experimentation, has a go-getter attitude and the drive to advance their career in a rapidly growing technology company. You think like a business owner. You are excited to jump in and help your teammates, and you’re always thinking of ways to constructively challenge the status quo and improve the business. You are an A+ player who is inspired by the mission we are pursuing and by the opportunity to define a new category in an incredibly fast-moving market. You are excited to bring your best everyday, to learn from those around you and to push hard while contributing to our powerful vision of positively impacting kids’ lives everyday.\n\nAt HopSkipDrive, we know that to tackle our toughest challenges, we need different approaches, unique perspectives, and new ways of thinking.  We are building a team of creative problem-solvers from many different backgrounds.\n\n \n\nYour Role:\n\nAs an Analyst you will empower people in the company to take informed actions. Deliverables will be what we call data products, but also thought leadership, and troubleshooting. You will help stakeholders enhance their data product portfolio. \n\nSpecific day-to-day responsibilities:\n\n\n* Lead data analyses for In-Ride Experience and Safety projects from scoping to delivery.\n\n* Analyze trends and identify opportunities for In-Ride Experience and Safety improvements.\n\n* Surface actionable insights and recommendations using data visualizations and presentations to a range of stakeholders.\n\n* Develop tools from actionable Tableau dashboards to predictive models with attention to usability.\n\n* Gather, connect and analyze data from a variety of sources to improve the effectiveness of initiatives aiming to improve the in-ride experience and safety.\n\n* Collaborate with product and operations stakeholders to design A/B and multivariate tests, and report on performance, attribution, and effectiveness.\n\n* Proactively investigate data discrepancies and implement measures to uphold data quality and accuracy across all analyses.\n\n* Partner with data producers to drive initiatives for continuous data improvement and refinement.\n\n* Evaluate existing processes and dashboards pertaining to In-Ride Experience and Safety, and offer recommendations for enhancements in tools, metric inputs, and projected outcomes.\n\n\n\n\n\n\nSkills and Experience:\n\n\n* 5+ years of hands-on data analytics experience with direct stakeholder interactions across data science or business intelligence engineering teams within the tech space\n\n* Applied statistics and mathematics skills: hypothesis testing, regression, classification, optimization, experimental design, or A/B testing\n\n* Experience working with product experimentation analyses\n\n* Strong experience developing solutions using Tableau, SQL (including performance tuning), and Excel/Sheets\n\n* Experience with data quality and developing auditable data products.\n\n* Experience building solutions with data collection, integration, and warehousing\n\n* Excellent verbal and written communication skills to tell data stories\n\n* Ability to thrive in a fast-paced work environment\n\n* Highly self-motivated learner, with attention to detail\n\n\n\n\n \n\n\nNice to have experience: \n\n\n\n\n\n* Statistical competence\n\n* Marketplace company experience\n\n* Familiarity with GitHub, ClickUp, DataGrip\n\n* Familiarity with data transformation, lineage, and low code tools\n\n* Experience with Python and Unix shell\n\n* Data governance\n\n\n\n\n \n\nWhat you will get\n\nWe want you to be an owner in our company and share in executing our vision, so every full-time employee has equity.  In addition, we offer  flexible vacation, medical, dental, vision and life insurance, 401(k), FSA, and an opportunity to work for a uniquely positioned, VC-backed company in a hugely attractive space with significant upside potential. HopSkipDrive is committed to fair and equitable compensation practices. The base salary range for this role is $100,000 - $115,000. This compensation will ultimately be in line with the location in which the position is filled. Final compensation for this role will be determined by several factors such as a candidate’s relevant work experience, skill set, certifications, and specific work location. The total compensation package for this role also includes equity stock options. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python and Senior jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nDenver, Colorado, United States

\nTHE CHALLENGE\n\nEventbrite is a big, bustling marketplace where anyone can post an event in minutes or buy a ticket in seconds. The Risk & Fraud Engineering team works behind the scenes to ensure our creators get paid and our attendees find amazing events. We make great experiences happen reliably and without unnecessary risks even as Eventbrite launches innovative features and expands into new markets across the world. Our Engineers and Decision scientists make sure we keep up without our organizers noticing by designing low profile, high precision, data-driven solutions to the ever-changing landscape of threats.\n\nTHE TEAM\n\nThe Risk & Fraud Engineering team is a high-performing, multi-disciplinary team that works closely with Fraud Analysts and Data Scientists. We work together toward the common goal of making Eventbrite the trusted marketplace for live experiences. We are vigilant for emerging problems, and we strive to solve them together with a flexible approach and a thirst for innovative solutions to complex problems. \n\nTHE ROLE\n\nYou will design, implement, and track the risk prevention policies at the center of our risk detection and mitigation strategy.  You will work with in-house platform operations and policy experts to understand the details of what’s working well and where we have opportunities to fill gaps. You will drive analytical efforts to source data from Eventbrite’s wide variety of product features, and then leverage it to design effective, low friction policies. You will collaborate with our risk engineering team to leverage our in-house decisioning platform to quickly design, test, and ship data-driven rules. You’ll work with our data scientists to layer in understanding from machine learning models or even improve them. You will partner with analysts to design performance tracking, enabling iterative design, and nimble prioritization. \n\nTHE SKILL SET\n\n\n* Proven ability to research and design data-driven policies in a detailed-oriented domain\n\n* Ability to facilitate and drive cross-functional collaboration, gaining domain knowledge from in-house experts, and accurately explaining anticipated results\n\n* Expertise with SQL, including experience working in dynamic data environments (>2 years) with experience developing, monitoring of dashboards\n\n* Command of a set of practical statistical analysis packages such as pandas, Microsoft Excel, or similar \n\n* Experience with data processing in Python (>2 years)\n\n\n\n\nBONUS POINTS\n\n\n* Experience in an anti-abuse space such as fraud, spam, content policy, or trust and safety.\n\n* Familiarity with ML Ops concepts and tools for model deployment, monitoring, and lifecycle management.\n\n* AWS certification(s) such as AWS Certified Solutions Architect - Associate or AWS Certified Data Analytics - Specialty is a plus.\n\n* Understanding of big data processing technologies like Spark, Hive, or Presto\n\n* Active Eventbrite user with a passion for live events\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python and Microsoft jobs that are similar:\n\n $60,000 — $100,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nThe role\n\nWe are seeking a driven and ambitious Data Analyst to join our growing Data Analytics team, based in Berlin. Our team provides support across all teams like Product, Sales and Operations by developing insights and enabling analytical and automated decision making. We build strong partnerships with key stakeholders and work on challenges such as defining, implementing and tracking company-wide metrics, and leading initiatives to improve them\n\nZenjob is on the mission to become the digital staffing platform delivering companies best staffing experience with the highest flexibility and reliability, and workers the best choice and fair pay for side jobs. Our service is available in over 39 cities in Germany. Our growth financing round of $50 million (€45 million) from February 2022 is helping us to scale our platform and add new data-based automation features for our rapidly growing customer base.\n\nWhat you’ll be doing\n\nRequirements gathering\n\n\n* Collaborate with stakeholders to understand and define data analytical requirements that will help driving business initiatives\n\n* Define KPIs, success and health metrics in the context of product and business initiatives\n\n\n\n\nData collection and preparation:\n\n\n* Identify relevant data sources and work with data engineers and tracking experts to source the right data into the analytics environment\n\n* Prepare data to make it suitable for the analysis in context\n\n\n\n\nData exploration and analysis:\n\n\n* Conduct exploratory data analysis to uncover patterns, trends, and insights\n\n* Utilize statistical methods to extract actionable information from data\n\n* Develop and maintain core data models to support business analysts\n\n\n\n\nExperimentation\n\n\n* Support stakeholders during the hypothesis formulation and validation phase\n\n* With the collaboration of the data science and engineering teams, design and implement experiments around upcoming product features \n\n\n\n\nVisualization and reporting\n\n\n* Design and create effective data visualizations to communicate insights and trends\n\n* Hands-on experience with traditional BI tools (Tableau, Metabase) and, ideally, product analytics tools (Indicative) as well\n\n\n\n\nCommunication and collaboration\n\n\n* Communicate findings and recommendations to both technical and nontechnical audiences\n\n* Collaborate with cross-functional teams, including business analysts, data engineers, and product managers and decision makers\n\n* Provide training and support to end users for interpreting and using data visualizations in a self-service manner effectively \n\n\n\n\nWhat you’ll bring \n\n\n* 5-+ years of relevant experience interpreting data as an analyst or equivalent\n\n* High proficiency in querying and modeling data using Python and SQL\n\n* Ability to translate a business question into an analytical requirement considering its context: what the business is trying to achieve, the processes around it, the systems that interact and the data points available\n\n* Analyze the results of A/B-test experiments and derive conclusions or new hypothesis the business can follow up on\n\n* Great communication skills in stakeholder management from diverse backgrounds\n\n* Great communication skills in storytelling capable of creating a consistent narrative that gives meaning to the numbers\n\n* Extensive experience using different data visualization and reporting tools\n\n* Experience on analytics engineering using dbt is highly desirable\n\n* Plus: experience with experimentation platforms (eg. ABSmartly, Optimizely) and product analytical tools (eg. Indicative, Amplitude)\n\n\n\n\nWhat we offer:\n\n\n* A supportive, open, and fun team that will have your back from day 1. \n\n* Twenty-eight days of vacation (increases based on tenure to up to 30 days), 1-day special leave paid for charity work, five days of paid educational leave, and the option of unpaid leave. \n\n* Hybrid work setup combining office & remote work (3 days from office, 2 days home), flexible working hours, bring your dog policy. \n\n* Ongoing focus on your personal development (annual development budget of EUR 750, mentoring opportunities, continuous career conversations)\n\n* Mental Health support via Likeminded\n\n* Monthly 30 EUR subsidy on Urban Sports Club, 25% discount on FitX gym membership\n\n* Monthly 40 EUR credit for NAVIT- a sustainable mobility solution spanning public transport bike-sharing. \n\n* Tax-free meal allowance (saving EUR ~50 net per month!)\n\n* Quarterly team get togethers, budget for employees birthdays, winter & summer parties plus regular cultural talks & events\n\n\n\n\nIf this sounds exciting to you, then we'd love to find out more about you! Apply and send in your application.\n\nLife at Zenjob revolves around innovation, collaboration, and growth. Check out our video for a glimpse into what it's like to be part of our team: Link to Video 🎥\n\nWe invite you to explore our Career Page, follow our LinkedIn page, and connect with us on Instagram.\n\nWe are proud to be an equal opportunities employer. We are committed to assessing every qualified person according to their skills, regardless of age, gender identity, ethnicity, sexual orientation, disability status or religion. It is not necessary to include your photo and age with your application. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Video and Sales jobs that are similar:\n\n $52,500 — $100,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nBerlin, Berlin, Germany

YOUR TEAM\n\nThe mission of the Data Organization within Nuna is to empower industry-wide value-based care adoption by leveraging data-driven insights for the enhancement of value-based payment operations, population management, decision making, and patient outcomes in an efficient, secure, and ethical manner. The primary objective of the Data Organization is to harness healthcare data to support and promote value-based care contracts between health systems, providers, health plans, and other third-party risk bearing entities; incentivize quality, utilization, and experience outcomes; and enhance payment operations with both services and product development.\n\nThe Health Data Analytics team is accountable for both performing analysis to drive client and product success as well as codifying complex value-based care concepts via scalable programming. In this role, you’ll have the opportunity to form deep partnerships with a cross-functional team in order to drive product development and program implementation through data expertise and analysis.  \n\nHealth Data Analysts provide thought leadership to product managers and influence Nuna’s product roadmap with a focus on analytics methodology, tooling maturity and scalable healthcare solutions. They are responsible for the design and deployment of reusable healthcare-based logic in support of accurate and scalable value-based payment solutions.   \nYOUR OPPORTUNITIES\n\n\n* Partner with engineering teams and operations to implement client program logic into code and configurations  \n\n* Collaborate with product, client management, engineering teams and the client to verify and validate Nuna’s implementation\n\n* Collaborate with Product Managers, Engineering, and Design to identify and design new ways to extend Nuna’s products to better serve customer needs\n\n* Develop metrics and analytical approaches to drive value-based healthcare solutions\n\n\n\nQUALIFICATIONS\nRequired Qualifications\n\n\n* Bachelor’s degree or above in quantitative or engineering fields (Statistics, Economics, Mathematics, Health/Medical Informatics, Computer Science, or similar)\n\n* 3+ years of experience working with healthcare data paired with a passion to connect with, understand, and shape the healthcare industry \n\n* Strong oral and written communication skills\n\n* Keen attention to detail\n\n* Deadline driven\n\n* Proficiency in SQL\n\n* Experience with statistical and analytical methods\n\n\n\nPreferred Qualifications\n\n\n* Experience with value-driven payment arrangements, healthcare financial models, or provider quality measurement strategies\n\n* Experience working with healthcare plans or providers\n\n* Client-facing experience\n\n* Experience with programming languages such as Python or equivalent\n\n* Experience with DBT, Databrick, Snowflake, and AWS\n\n* Experience with unit tests and data quality\n\n\n\n\nWe take into account an individual’s qualifications, skillset, and experience in determining final salary. This role is eligible for health insurance, life insurance, retirement benefits, participation in the company’s equity program, paid time off, including vacation and sick leave. The expected salary range for this position is $110,000 to $150,000. The actual offer will be at the company’s sole discretion and determined by relevant business considerations, including the final candidate’s qualifications, years of experience, and skillset. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design and Python jobs that are similar:\n\n $50,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSan Francisco, California, United States