Candidate should have e-commerce experience and must be an IIT or NIT GRADUATE.
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
About Us upGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. upGrad currently offers programs in Data Science, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship etc. upGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow. upGrad was awarded the Best Tech for Education by IAMAI for 2018-19 upGrad was also ranked as one of the LinkedIn Top Startups 2018: The 25 most sought-after startups in India upGrad was earlier selected as one of the top ten most innovative companies in India by FastCompany. We were also covered by the Financial Times along with other disruptors in Ed-Tech upGrad is the official education partner for Government of India - Startup India program too Our program with IIIT B has been ranked #1 program in the country in the domain of Artificial Intelligence and Machine Learning Job Description We're looking for a hands-on technical leader to head the Data Science and Data Engineering vertical within the Technology team who can work alongside Business stakeholders & Product managers to drive the creation of data-driven products/platforms. Responsibilities: Ownership of end-to-end initiatives across all products and services in upGrad in the data domain - data engineering, data science, and product analytics Lead, mentor and guide our team of Data Analysts, Data-Engineers and Data Scientists Establishment and execution of the tech data roadmap balancing short term and long term needs to ensure that the architecture can scale and evolve Data Engineering would entail envisioning and extending our Redshift data-warehouse Architecting robust data-ingestion pipelines from internal and external sources Domain schema creation and democratizing data for all stakeholders Monitoring and Administration of all data services and tech that goes with it Mentoring and guiding our data-engineers to execute on these initiatives Data Science would entail ideating, development and delivery of data-science backed products and services across entire upGrad domain - Learn, Career, Sales and Marketing Understanding the business domain and ideating/brainstorming potential data-science solutions Collaborating with Product & business stakeholders on feasibility, impact, execution, delivery as well as adoption Hands-on architecting, reviewing and mentoring the data-science team to execute on these projects/initiatives both on data and tech side and deploy them into the Production environment Data Analytics would entail envisioning and supporting all product analytics initiatives. Ease of access of the right data-points and visualizations to enable teams to make strong data-backed decisions at all aspects in upGrad Guiding/Mentoring our data analysts on approach and data sources available for delivering on the analytics required Understanding all the nitty-gritty of the Product and end-to-end user delivery to able to deliver holistic analytics Collaborating with product and business stakeholders to make sure their data needs are fulfilled as per the need and feasibility Owning the administration of the various data-analytics tools and services. Overall would be a data evangelist who is constantly pushing the team to collect, organize, share and utilize data in meaningful ways to better the product and it’s services. At it’s core who is serious about data integrity, data security as well as ethical sourcing/utilization of data Qualifications: A suitable candidate in this position will be a strategic/innovative thinker who is proactive and self-drives requires minimal supervision and is able to build a strong data-focused team. A Tech Data expert, goto person for all things data, software and technology. 6+ years of experience in leading and building strong data-powered products and services Master’s or higher education in the field of Stats, Data, Computer Science preferred Hands-on experience in building data-warehouse, ETL pipelines from scratch and supporting those in Production Environments. Hands-on experience in building and deploying machine learning/natural language processing based data-products Strong drive to understand the domain and sharp analytical thinker to ideate on how data-driven products/services can help drive the business Strong programming skills in Python and SQL Strong understanding of relational and non-relational databases Strong understanding of the various technologies/tools/libraries upcoming and available in this area and can drive the adoption of those as per the business needs and future growth Ability to handle multiple simultaneous projects, prioritize and meet tight impact based deadlines; alongside being organized and calm when while dealing with a lot of uncertainties and unknowns Excellent interpersonal and communication skills
About us: Quantiphi is a category defining Data Science and Machine Learning Software and Services Company focused on helping organizations translate the big promise of Big Data & Machine Learning technologies into quantifiable business impact. We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses. Quantiphi helps clients find and capture hidden value from data through a unique blend of business acumen, big-data, machine learning and intuitive information design. AthenasOwl (AO) is our “AI for Media” solution that helps content creators and broadcasters to create and curate smarter content. We launched the product in 2017 as an AI-powered suite meant for the media and entertainment industry. Clients use AthenaOwl's context adapted technology for redesigning content, taking better targeting decisions, automating hours of post-production work and monetizing massive content libraries. Please Find Attached fact sheet for your reference. For more details visit: www.quantiphi.com ; www.athenasowl.tv Job Description: -Developing high-level solution architecture related to different use-cases in the media industry -Leveraging both structured and unstructured data from external sources and our proprietary AI/ML models to build solutions and workflows that can be used to give data driven insights. -Develop sophisticated yet easy to digest interpretations and communicate insights to clients that lead to quantifiable business impact. -Building deep relationship with clients by understanding their stated but more importantly, latent needs. -Working closely with the client-side delivery managers to ensure a seamless communication and delivery cadence. Essential Skills and Qualifications: -Hands-on experience with statistical tools and techniques in Python -Great analytical skills, with expertise in analytical toolkits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis. -Advanced knowledge of supervised and unsupervised machine learning algorithms like Random Forest, Boosting, SVM, Neural Networks, Collaborative filtering etc. -Ability to think creatively and work well both as part of a team and as an individual contributor -Critical eye for the quality of data and strong desire to get it right -Strong communication skills. -Should be able to read a paper and quickly implement ideas from scratch. -A pleasantly forceful personality and charismatic communication style.
Job Description: Looqus is looking for a Marketing Analyst to join the team. We’re looking for someone curious and creative, who is interested in understanding people through data. You will need a deep knowledge of marketing channels, including how they work and how to measure them. Responsibilities: * Analyze the efficacy of all marketing * Assess and prioritize future opportunities * Find new markets and develop our expansion plan * Experience with in Tableau, excel, R and python * Create and maintain real-time dashboards * Manage a multimillion-dollar budget and forecasting * Support the marketing team’s data, analytics, and reporting needs About You * You are an Excel/Google Sheets wizard * You have experience building and maintaining data dashboards * You have managed and forecasted annual budgets * You are an analytical problem solver with a creative edge * You are self-motivated and deeply curious Bonus points: * Knowledge of SQL *Experience with analytics tools or related programming languages (e.g. Tableau, R, Python, etc.) a plus. *Experience with statistical analysis software a plus (e.g., R, SAS, etc.). Our Culture: Be empathetic, communitarian, trustworthy, And think and act using the appropriate combination of principles, common sense, data, and insight.
About UpGrad : About us: UpGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. UpGrad currently offers programs in Data Analytics, Product Management, Digital Marketing, and Entrepreneurship, and was rated as one of the top 10 most innovative companies in India for 2017 - https://www.fastcompany.com/most-innovative-companies/2017/sectors/india . We plan to launch 6 more programs in technology and management education. UpGrad is co-founded by 3 IITD alumni, and the 4th co-founder is serial entrepreneur Ronnie Screwvala. UpGrad has a committed capital of 100Cr and in the first year of operations, has built the largest revenue generating online program in India (PG Diploma in Data Analytics) and the largest enrolment online program in India (Startup India learning program). UpGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow. Position : Senior Data Scientist Position Type : Full Time Location : Mumbai Job Description: Are you excited by the challenge and the opportunity of applying data-science and data-analytics techniques to the fast developing education technology domain? Do you look forward to, the sense of ownership and achievement that comes with innovating and creating data products from scratch and pushing it live into Production systems? Do you want to work with a team of highly motivated members who are on a mission to empower individuals through education? If this is you, come join us and become a part of the UpGrad technology team. At UpGrad the technology team enables all the facets of the business - whether it’s bringing efficiency to our marketing and sales initiatives, to enhancing our student learning experience, to empowering our content, delivery and student success teams, to aiding our student’s for their desired career outcomes. We play the part of bringing together data & tech to solve these business problems and opportunities at hand. We are looking for an highly skilled, experienced and passionate data-scientist who can come on-board and help create the next generation of data-powered education tech product. The ideal candidate would be someone who has worked in a Data Science role before wherein he/she is comfortable working with unknowns, evaluating the data and the feasibility of applying scientific techniques to business problems and products, and have a track record of developing and deploying data-science models into live applications. Someone with a strong math, stats, data-science background, comfortable handling data (structured+unstructured) as well as strong engineering know-how to implement/support such data products in Production environment. Ours is a highly iterative and fast-paced environment, hence being flexible, communicating well and attention-to-detail are very important too. The ideal candidate should be passionate about the customer impact and comfortable working with multiple stakeholders across the company. Basic Qualifications: 3+ years of experience in analytics, data science, machine learning or comparable role Bachelor's degree in Computer Science, Data Science/Data Analytics, Math/Statistics or related discipline Experience in building and deploying Machine Learning models in Production systems Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to the business problem or opportunity at hand Strong programming skills: comfortable with Python - pandas, numpy, scipy, matplotlib; Databases - SQL and noSQL Strong communication skills: ability to both formulate/understand the business problem at hand as well as ability to discuss with non data-science background stakeholders Comfortable dealing with ambiguity and competing objectives Preferred Qualifications: Experience in Text Analytics, Natural Language Processing Advanced degree in Data Science/Data Analytics or Math/Statistics Comfortable with data-visualization tools and techniques Knowledge of AWS and Data Warehousing Passion for building data-products for Production systems - a strong desire to impact the product through data-science techniques