Mixpanel Jobs in Bangalore (Bengaluru)

AliveCor produces and delivers rich, informative, clinical-grade, personal heart data that can be easily understood by patients - anytime, anywhere. As a Data Engineer, you will architect and improve our data infrastructure, develop new products, and support medical science while protecting user privacy. The ideal candidate has a strong background in engineering, as well as experience in statistical analysis, data analysis tools, SQL and Python.  You will work closely with our product management, engineering, and AI teams to architect and build fast and efficient databases, pipelines, and services.   Responsibilities Work with structured and unstructured real-world medical data Design, build and launch efficient and reliable data pipelines to move complex data Write high-quality, efficient, testable code in Python, C++, or Go. Build data expertise and own data quality Collaborate with software and AI engineers to design and implement data architecture Integrate with 3rd party analytics tools and APIs (Mixpanel, Google Analytics) Build horizontally scalable infrastructure to support ML training and data mining research   Qualifications and Skills: E. in Computer Science or a related discipline, or related practical experience Minimum 6 years of Experience with Data Engineering & Data Architecture Experience using advanced SQL and databases in a business environment with large-scale datasets (Hadoop, Hive, Presto) Experience with statistical modeling and analyzing large data sets Experience with product analytics tools and APIs (Mixpanel, Google Analytics) AWS expertise (S3, EC2, Lambda, Redshift, Athena) is a plus Experience developing scalable microservices also a plus Familiarity with Kimball's data warehouse lifecycle   About Us AliveCor is on a mission to define modern healthcare through data, design and disruption. We’ve pioneered the creation of FDA-cleared machine-learning techniques, transformed wearable medtech to put proactive heart care at everyone’s fingertips. Kardia is the most clinically validated mobile EKG technology. AliveCor was named as one of the Top 10 Most Innovative Companies in Health for 2017 by Fast Company as part of the publication’s annual ranking of the world’s Most Innovative Companies. AliveCor was awarded the 2015 Tech Pioneer by the World Economic Forum and one of the 50 Smartest Companies in 2015 by the MIT Technology Review. AliveCor recently announced a collaboration with Mayo Clinic that will result in new machine learning capabilities to unlock previously hidden health indicators in EKG data, potentially improving heart health as well as overall health care for a variety of conditions. AliveCor is a privately held company headquartered in Mountain View, CA. AliveCor is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, colour, disability, gender, national origin, race, religion, sexual orientation, or any other classification protected by federal, state, or local law. Watch the following video demonstrating our product. KardiaMobile: How's your heart?https://www.youtube.com/watch?v=8I9xosgA-Ig

AliveCor produces and delivers rich, informative, clinical-grade, personal heart data that can be easily understood by patients - anytime, anywhere.  The Opportunity:  As a Business Intelligence Analyst, you will advance analytical insights to power business and product decisions.  You will work closely with our teams in product management, engineering, privacy, and regional distributors around the world, and communicate and present information at all levels of the business.  The ideal candidate should have a solid foundation in statistics, along with data analysis tools including SQL.  Additionally, candidates should have experience with data visualization tools (Tableau, Plotly, Google Data Studio, etc…), and be able to create dashboards and reports combining data from multiple sources. Responsibilities: Design and develop metrics, reports, and dashboards to drive business and product decisions Build data expertise and own data quality Build and launch new data models to provide informative analytics Integrate data from analytics tools and APIs (Mixpanel, Google Analytics) Collaborate closely with product and software teams to prioritize feature development Qualifications and Skills: BA/BS in Mathematics, Statistics, Computer Science, Economics, Business or analytical field. Minimum 6 years of Experience with Business Intelligence & Data Architecture. Experience with statistical modeling and analyzing large data sets Strong verbal and written communication and presentation skills Experience identifying and communicating analytical outcomes, verbally and in writing, to both business and technical teams Strong SQL skills, experience analyzing data in Python is a plus Experience with ETL and business intelligence tools

Responsibilities:- Drive acquisition, awareness & engagement across all channels (largely Google, Facebook, Mobile affiliates) with a focus on Conversions, LTV & Repeat.- Track, measure, and revise campaigns based on performance to further optimise ROI. - Work closely with Product, Business Development & Marketing teams to plan, execute and report marketing campaigns.- Research, assess & implement best & emerging industry practices- Run experiments with clear success/failure metrics- Gather market insights & do competition bench-marking - Manage multiple agencies to produce high quality outputs on time and on budgetRequirement:- Must have hands on experience in running ads across Google, Facebook & mobile affiliates.- In-depth understanding in App Marketing, Online Display, Remarketing, SEM, Affiliates, Social and Video advertising.- Strong understanding of A/B testing, audience targeting, ad copy, creative & bidding strategies for various ad platforms.- Experience on tools like Google Adwords, Facebook Ad Manager, Google Analytics, Keyword Planner, Appsflyer, Mixpanel, AWS etc.- Understand business goals & align them to the channels.- Ability to adapt & thrive in a fast-changing environment.