This requirement is to service a leading big data technology company that measures what matters to make cross-platform audiences and advertising more valuable. We are seeking a Senior Data Analyst to mine our large-scale data sets (2 Trillion + records/month) and provide insights to help inform our clients strategy for launching and analyzing marketing campaigns around the world. This analyst will be responsible for data analysis, design, and development of Cross Platform audience measurement products. Their work will have a direct impact on driving business strategies for prominent industry leaders. Self-motivation and strong communication skills are both must haves. You will need to be comfortable working in a fast-paced work environment with shifting priorities, vague requirements, and rapid iterations. You will need to be comfortable taking risks. Problems we are solving: What, where, and when do people watch video content? Which sites and platforms are changing the behavior of consumer video consumption? How and where is traditional TV viewing shifting towards internet connected devices? What is the total audience for publishers with fragmented content across TV, computer, and mobile? How do we build flexible processes to handle the various data sources and reporting needs? About our team: We’re a small but powerful team of data junkies, analyzing over 20 TB of data each day to deliver product and research solutions to our clients. We use Scala, Spark, SQL, Hadoop, Python, and many other tools. We work with Product Management on what problems to tackle and collaborate with Data Science and Core Processing Engineering teams to create solutions. Duties and responsibilities: Design architecture and prototype solutions for data processing and methodology Drive analytical projects that span across multiple teams and functions Build, test new features and concepts and integrate into production process Participate in ongoing research and evaluation of new technologies Exercise your experience in the development lifecycle through analysis, design, development, testing and deployment of this system Collaborate with teams in Software Engineering, Operations, and Product Management to deliver timely and quality data. You will be the knowledge expert, delivering quality data to our clients Qualifications: Bachelors degree in Data Science, Engineering, Computer Science or Information Systems 5 years relevant work experience in related field Experience in data analysis and problem solving with big data Experience with Scala, AWS, SQL, Hive, Spark, R or Python and deep knowledge of relational databases and methods for efficiently retrieving data Ability to think creatively and solve complex problems Ability to autonomously manage simultaneous projects in a fast paced business environment Excellent verbal, written and computer communication skills with strong analytical and troubleshooting skills Ability to consistently meet data expectations; holds team and self-accountable Ability to manage change, course correct, and respond decisively Ability to engage with Senior Leaders across all functional departments Ability to take on new responsibilities; adapts to change and executes
Data Analyst Reporting to Head of Analytics, you are someone who excels at crunching data and using it for generating business insights. As a data-loving member of the team, you will serve as an analytics expert and help the company’s leaders make better decisions. Job Responsibilities: • Develop and automate reports, iteratively build and prototype dashboards to provide insights for solving the company’s analytical needs • Help answer specific business questions by writing a clear, usable project plan and executing with minimal guidance • Support maintenance and up-gradation of an end-to-end Analytics Platforms that connects data systems and business intelligence (BI) systems • Collaborate with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, and insights • Research and analyze key business drivers, trends and operating metrics Required Qualifications: • BS Degree in a quantitative discipline (e.g. computer science, mathematics, statistics, economics) • 3 plus years of relevant experience in analytics at a tech / SaaS / consulting company • Extensive experience with articulating business questions, pulling data from datasets (SQL) and using new age BI tools (e.g. Tableau, Data Studio) to arrive at an answer • Demonstrated understanding of statistical modeling techniques; ability to effectively influence and communicate cross-functionally across all levels • Ability to consistently deliver quality outputs in a fast-paced environment, while working with tight deadlines • Extremely well-organized and capable of handling multiple projects and ad-hoc requests simultaneously
The Candidate should be have: - good understanding of Statistical concepts - worked on Data Analysis and Model building for 1 year - ability to implement Data warehouse and Visualisation tools (IBM, Amazon or Tableau) - use of ETL tools - understanding of scoring models The candidate will be required: - to build models for approval or rejection of loans - build various reports (standard for monthly reporting) to optimise business - implement datawarehosue The candidate should be self-starter as well as work without supervision. You will be the 1st and only employee for this role for the next 6 months.
1 to 3 years of experience in product analytics - Highly conversant with Google Analytics and other similar tools - Basic programming ability(preferably R or Python)
Primary Skills : - B.Tech/MS/PhD degree in Computer Science, Computer Engineering or related technical discipline with 3-4 years of industry experience in Data Science. - Proven experience of working on unstructured and textual data. Deep understanding and expertise of NLP techniques (POS tagging, NER, Semantic role labelling etc). - Experience working with some of the supervised/unsupervised learning ML models such as linear/logistic regression, clustering, support vector machines (SVM), neural networks, Random Forest, CRF, Bayesian models etc. The ideal candidate will have a wide coverage of the different methods/models, and an in depth knowledge of some. - Strong coding experience in Python, R and Apache Spark. Python Skills are mandatory. - Experience with NoSQL databases, such as MongoDB, Cassandra, HBase etc. - Experience of working with Elastic search is a plus. - Experience of working on Microsoft Azure is a plus although not mandatory. - Basic knowledge of Linux and related scripting like Bash/shell script. Role Description (Roles & Responsibilities) : - Candidate will research, design and implement state-of-the-art ML systems using predictive modelling, deep learning, natural language processing and other ML techniques to help meeting business objectives. - Candidate will work closely with the product development/Engineering team to develop solutions for complex business problems or product features. - Handle Big Data scale for training and deploying ML/NLP based business modules/chatbots.