Job role:
As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers build data-driven processes. Your role will involve driving initiatives to optimize for operational excellence and revenue.
Responsibilities:
- Ensure that data flows smoothly from source to destination so that it can be processed
- Utilize strong database skills to work with large, complex data sets to extract insights
- Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes
- Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure
- Build tools for automating repetitive asks so that bandwidth can be freed for analytics
- Collaborate with program managers and business analysts to help them come up with actionable, high-impact insights across product lines and functions
- Work closely with top management to prioritize information and analytic needs
Requirements:
- Excel
- Scrapping
- Medium Communication Skill (Spoken and written)
- SaaS industries knowledge
- Add Product
- Check Dodontdo
- Scrapping
- Work on Support Tickets (Resolve customers issue)
Web/Data/Execl Scraping must
About Appitsimple infotek Pvt. Ltd.
AppitSimple Infotek is a product-based information technology company that has, for many years, been working to change and simplify how organizations perform their operations. CallHippo and SoftwareSuggest, the company's ground-breaking platform and product are primarily responsible for the company's widespread recognition. An online resource for selecting the best business software and service partners offers users access to evaluations written by actual customers, in-depth analyses of the software, free consultations, and free trials of the program. For businesses of any kind looking for software and services tailored to their particular sector, this one-stop shop is the place to go.
Over 800 different software categories and over 49 different service categories are currently available on SoftwareSuggest as options for businesses to choose from. In addition to this, it allows businesses to analyze the qualities of a variety of software and service providers so that they may make the most informed purchasing decision possible.
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About Us
Railofy aims at solving one of the biggest challenges of Indian domestic travellers – Waitlist problem in Indian Railways.
We are a small team of technologists who have made a significant breakthrough progress in this field using AI, so that no waitlisted railway passenger has to ever miss a trip again.
We are backed by some of the leading VC investors in India (learn more about us on railofy.com)
About the role-
*Must be train smart* (Indian Railways)
As a Data Analyst, you will work with the database and data-science team in managing and updating the ever changing database related to trains, airports and buses etc.
You will also play a key role in monitoring the key KPIs.
Needless to say, you will be exposed to almost all the verticals of a tech startup and play a key role in solving real life problems.
Key Requirements
- Minimum 1 year of experience managing databases, MIS reporting or analytics (non-technical)
- Should be ‘ Train Smart ‘. Knowledge of Indian Railways and trains is required
- Hands-on with MS excel and google sheets
- Access to laptop & internet to work from home
- Willing to relocate to Mumbai
- Graduation (completed) from reputed school / college (any field)
- Good problem-solving skills and ability to think strategically
- Motivation to join an early stage startup and should go beyond compensation
- Should be always open for new learnings and responsibilities
Our client is a vertical fintech play focused on solving industry-specific financing gaps in the food sector through the application of data. The platform provides skin-in-the-game growth capital to much-loved F&B brands. Founded in 2019, they're VC funded and based out of Singapore and India-Bangalore.
Founders are the alumnus of IIT-D, IIM-B and Wharton. They have 12+ years of experience as Venture capital and corporate entrepreneurship at DFJ, Vertex, InMobi, VP at Snyder UAE, investment banking at Unitus Capital - leading the financial services practice, and institutional equities at Kotak. They've a team of high-quality professionals coming together for this mission to disrupt the convention.
As a Data Analyst - Underwriting & Risk, you will be developing a first of its kind risk engine for revenue-based financing in India and automating investment appraisals for the company's different revenue-based financing products
What you will do:
- Identifying alternate data sources beyond financial statements and implementing them as a part of assessment criteria.
- Automating appraisal mechanisms for all newly launched products and revisiting the same for an existing product.
- Back-testing investment appraisal models at regular intervals to improve the same.
- Complementing appraisals with portfolio data analysis and portfolio monitoring at regular intervals.
- Working closely with the business and the technology team to ensure the portfolio is performing as per internal benchmarks and that relevant checks are put in place at various stages of the investment lifecycle.
- Identifying relevant sub-sector criteria to score and rating investment opportunities internally.
What you need to have:
- Bachelor’s degree with relevant work experience of at least 3 years with CA/MBA (mandatory).
- Experience in working in lending/investing fintech (mandatory).
- Strong Excel skills (mandatory).
- Previous experience in credit rating or credit scoring or investment analysis (preferred).
- Prior exposure to working on data-led models on payment gateways or accounting systems (preferred).
- Proficiency in data analysis (preferred)
- Good verbal and written skills.
Immediate Joiners Preferred
NOTE: Working Shift: 11 am - 8 pm IST (+/- one hour on need basis) Monday to Friday
Responsibilities :
1. Leverage Alteryx to build, maintain, execute and deliver data assets. This entails using data analytics tools (combination of proprietary tools, Excel, and scripting), validating raw data quality, and working with Tableau/ Power BI and other geospatial data visualization applications
2. Analyze large data sets in Alteryx, finding patterns and providing a concise summary
3. Implement, maintain, and troubleshoot analytics solution and derive key insights based on Tableau/ Power BI visualization and data analysis
4. Improve ETL setup and develop components so they can be rapidly deployed and configured
5. Conduct data assessment, perform data quality checks and transform data using SQL and ETL tools
Qualification :
1. 3+ years of relevant and professional work experience with a reputed analytics firm
2. Bachelor's degree in Engineering / Information Technology from a reputed college
3. Must have the knowledge to handle/design/optimize complex ETL using Alteryx
4. Expertise with visualization tools such as Tableau /Power BI to solve a business problem related to data exploration and visualization
5. Good knowledge in handling large amounts of data through SQL, T-SQL or PL-SQL
6. Basic knowledge in Python for data processing will be good to have
7. Very good understanding of data warehousing and data lake concepts
Responsibilities:
- Improve robustness of Leena AI current NLP stack
- Increase zero shot learning capability of Leena AI current NLP stack
- Opportunity to add/build new NLP architectures based on requirements
- Manage End to End lifecycle of the data in the system till it achieves more than 90% accuracy
- Manage a NLP team
Page BreakRequirements:
- Strong understanding of linear algebra, optimisation, probability, statistics
- Experience in the data science methodology from exploratory data analysis, feature engineering, model selection, deployment of the model at scale and model evaluation
- Experience in deploying NLP architectures in production
- Understanding of latest NLP architectures like transformers is good to have
- Experience in adversarial attacks/robustness of DNN is good to have
- Experience with Python Web Framework (Django), Analytics and Machine Learning frameworks like Tensorflow/Keras/Pytorch.
Job Description: Project Manager
Internal Role: Delivery Manager
Type: Full time
Location: Bangalore
Internal Role: Delivery Manager
About Dataweave:
About Us
DataWeave provides “Competitive Intelligence as a Service” to Retailers and Consumer brands helping them optimize their offerings through effective pricing, assortment and promotional recommendations.
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the Web. At serious scale!
Read more on http://dataweave.com/about/become-dataweaver">Become a DataWeaver
Job Description:
- Develop a detailed project plan (Ensuring resource availability and allocation) to track progress
- Developing project scopes and objectives, involving all relevant stakeholders and ensuring technical feasibility
- Ensure that all projects are delivered on-time, within scope and within budget
- Coordinate internal resources and third parties/vendors for the flawless execution of projects
- Use appropriate verification techniques to manage risks, changes in project scope, schedule and costs
- Measure project performance using appropriate systems, tools and techniques
- Report and escalate to management as needed
- Establish and maintain relationships with Clients, internal stakeholders, third parties / vendors
- Create and maintain comprehensive project documentation
- Definition of service level agreements (SLA) in relation to services, ensuring the SLA’s are achieved; data sanity and hygiene & client expectations are exceeded
- Effectively monitor, control and support delivery, ensuring standard operating procedures and methodologies are followed
- Create KPIs for monitoring and review and publish health stats on a recurring basis
Key Skills / Knowledge required:
- Proven ability to switch context, manage multiple short projects
- Relevant experience of 3-5 years and overall experience of 8+ yrs
- Exposure to Analytics delivery process, ability to troubleshoot using insights within the data
- Basic Database query skills, with knowledge of Web-crawling concepts is preferred
- Excellent communication skills
- Team management and ability to deliver while working with cross functional teams
- Exposure to Agile Development (Scrum / Kanban) methodology is a plus
1. Expert in deep learning and machine learning techniques,
2. Extremely Good in image/video processing,
3. Have a Good understanding of Linear algebra, Optimization techniques, Statistics and pattern recognition.
Then u r the right fit for this position.