Ganit has flipped the data science value chain as we do not start with a technique but for us, consumption comes first. With this philosophy, we have successfully scaled from being a small start-up to a 200 resource company with clients in the US, Singapore, Africa, UAE, and India. We are looking for experienced data enthusiasts who can make the data talk to them. You will: Understand business problems and translate business requirements into technical requirements. Conduct complex data analysis to ensure data quality & reliability i.e., make the data talk by extracting, preparing, and transforming it. Identify, develop and implement statistical techniques and algorithms to address business challenges and add value to the organization. Gather requirements and communicate findings in the form of a meaningful story with the stakeholders Build & implement data models using predictive modelling techniques. Interact with clients and provide support for queries and delivery adoption. Lead and mentor data analysts. We are looking for someone who has: Apart from your love for data and ability to code even while sleeping you would need the following. Minimum of 02 years of experience in designing and delivery of data science solutions. You should have successful projects of retail/BFSI/FMCG/Manufacturing/QSR in your kitty to show-off. Deep understanding of various statistical techniques, mathematical models, and algorithms to start the conversation with the data in hand. Ability to choose the right model for the data and translate that into a code using R, Python, VBA, SQL, etc. Bachelors/Masters degree in Engineering/Technology or MBA from Tier-1 B School or MSc. in Statistics or Mathematics Skillset Required: Regression Classification Predictive Modelling Prescriptive Modelling Python R Descriptive Modelling Time Series Clustering What is in it for you: Be a part of building the biggest brand in Data science. An opportunity to be a part of a young and energetic team with a strong pedigree. Work on awesome projects across industries and learn from the best in the industry, while growing at a hyper rate. Please Note: At Ganit, we are looking for people who love problem solving. You are encouraged to apply even if your experience does not precisely match the job description above. Your passion and skills will stand out and set you apart—especially if your career has taken some extraordinary twists and turns over the years. We welcome diverse perspectives, people who think rigorously and are not afraid to challenge assumptions in a problem. Join us and punch above your weight! Ganit is an equal opportunity employer and is committed to providing a work environment that is free from harassment and discrimination. All recruitment, selection procedures and decisions will reflect Ganit’s commitment to providing equal opportunity. All potential candidates will be assessed according to their skills, knowledge, qualifications, and capabilities. No regard will be given to factors such as age, gender, marital status, race, religion, physical impairment, or political opinions.
Job Description This requirement is to service our client which is a leading big data technology company that measures what viewers consume across platforms to enable marketers make better advertising decisions. We are seeking a Senior Data Operations Analyst to mine large-scale datasets for our client. 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. Ability to work in a fast-paced work environment is desired. Problems being solved by our client: Measure consumer usage of devices linked to the internet and home networks including computers, mobile phones, tablets, streaming sticks, smart TVs, thermostats and other appliances. There are more screens and other connected devices in homes than ever before, yet there have been major gaps in understanding how consumers interact with this technology. Our client uses a measurement technology to unravel dynamics of consumers’ interactions with multiple devices. Duties and responsibilities: The successful candidate will contribute to the development of novel audience measurement and demographic inference solutions. Develop, implement, and support statistical or machine learning methodologies and processes. 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: 3-5 years relevant work experience in areas as outlined below Experience in extracting data using SQL from large databases Experience in writing complex ETL processes and frameworks for analytics and data management. Must have experience in working on ETL tools. Master’s degree or PhD in Statistics, Data Science, Economics, Operations Research, Computer Science, or a similar degree with a focus on statistical methods. A Bachelor’s degree in the same fields with significant, demonstrated professional research experience will also be considered. Programming experience in scientific computing language (R, Python, Julia) and the ability to interact with relational data (SQL, Apache Pig, SparkSQL). General purpose programming (Python, Scala, Java) and familiarity with Hadoop is a plus. Excellent verbal and written communication skills. Experience with TV or digital audience measurement or market research data is a plus. Familiarity with systems analysis or systems thinking is a plus. Must be comfortable with analyzing complex, high-volume and high-dimension data from varying sources Excellent verbal, written and computer communication skills Ability to engage with Senior Leaders across all functional departments Ability to take on new responsibilities and adapt to changes
Key responsibilities: Ownership of full analytics for the Business Unit: Planning, structuring, identifying key reports to be made and automation of the reports. Develop analytical frameworks to support the company in new markets and processes. Dive deep into the key performance data cuts and provide insights into data trends. Evaluate information gathered from various sources, reconcile conflicts, and identify the user request's underlying business needs. Continuous learning and collaboration with internal teams (Product, CSM, Sales, Tech) to develop product configuration best practices. Responsible for publishing weekly/monthly logistics reports using operational metrics in time with quality. Primary & Secondary research and analysis to identify key insights, patterns and trends and present findings to senior stakeholders. Preferred qualifications/skills: Bachelor's/MBA degree in Business, Economics, Finance, Engineering, Statistics, Computer Science, Mathematics or related field, or equivalent experience. 2-5 years of experience in Business Analytics/Investment Banking /Consulting or related experience. Deep analytical thinker with experience in deriving business insights from data analytics. Excellent communication & organisational skills to manage multiple concurrent projects with multiple stakeholders. Data modelling, experience with statistical analysis, tools and techniques is a plus. Results-driven mentality, with a bias for speed and action. Possess exceptional communication, presentation and interpersonal skills. Ability to thrive in a multi-tasking environment and adjust priorities on-the-fly while still focusing on details and being analytical. Excellent Excel and Presentation skills. Build strong relationships with the other CSMs to share learning. We offer a competitive salary, equity, and a quality health insurance plan.
Ganit Inc. is the fastest growing Data Science & AI company in Chennai. Founded in 2017, by 3 industry experts who are alumnus of IITs/SPJIMR with each of them having 17+ years of experience in the field of analytics. We are in the business of maximising Decision Making Power (DMP) for companies by providing solutions at the intersection of hypothesis based analytics, discovery based AI and IoT. Our solutions are a combination of customised services and functional product suite. We primarily operate as a US-based start-up and have clients across US, Asia-Pacific, Middle-East and have offices in USA - New Jersey & India - Chennai. Started with 3 people, the company is fast growing with 100+ employees 1. What do we expect from you - Should posses minimum 2 years of experience of data analytics model development and deployment - Skills relating to core Statistics & Mathematics. - Huge interest in handling numbers - Ability to understand all domains in businesses across various sectors - Natural passion towards numbers, business, coding, visualisation 2. Necessary skill set: - Proficient in R/Python, Advanced Excel, SQL - Should have worked with Retail/FMCG/CPG projects solving analytical problems in Sales/Marketing/Supply Chain functions - Very good understanding of algorithms, mathematical models, statistical techniques, data mining, like Regression models, Clustering/ Segmentation, time series forecasting, Decision trees/Random forest, etc. - Ability to choose the right model for the right data and translate that into code in R, Python, VBA (Proven capabilities) - Should have handled large datasets and with through understanding of SQL - Ability to handle a team of Data Analysts 3. Good to have skill set: - Microsoft PowerBI / Tableau / Qlik View / Spotfire 4. Job Responsibilities: - Translate business requirements into technical requirements - Data extraction, preparation and transformation - Identify, develop and implement statistical techniques and algorithms that address business challenges and adds value to the organisation - Create and implement data models - Interact with clients for queries and delivery adoption 5. Screening Methodology - Problem Solving round (Telephonic Conversation) - Technical discussion round (Telephonic Conversation) - Final fitment discussion (Video Round
Role Summary We Are looking for an analytically inclined, Insights Driven Product Analyst to make our organisation more data driven. In this role you will be responsible for creating dashboards to drive insights for product and business teams. Be it Day to Day decisions as well as long term impact assessment, Measuring the Efficacy of different products or certain teams, You'll be Empowering each of them. The growing nature of the team will require you to be in touch with all of the teams at upgrad. Are you the "Go-To" person everyone looks at for getting Data, Then this role is for you. Roles & Responsibilities Lead and own the analysis of highly complex data sources, identifying trends and patterns in data and provide insights/recommendations based on analysis results Build, maintain, own and communicate detailed reports to assist Marketing, Growth/Learning Experience and Other Business/Executive Teams Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Analyze data and generate insights in the form of user analysis, user segmentation, performance reports, etc. Facilitate review sessions with management, business users and other team members Design and create visualizations to present actionable insights related to data sets and business questions at hand Develop intelligent models around channel performance, user profiling, and personalization Skills Required Having 4-6 yrs hands-on experience with Product related analytics and reporting Experience with building dashboards in Tableau or other data visualization tools such as D3 Strong data, statistics, and analytical skills with a good grasp of SQL. Programming experience in Python is must Comfortable managing large data sets Good Excel/data management skills