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
About upGrad
upGrad is an online higher education platform. Founded by Ronnie Screwvala, Mayank Kumar, Ravijot Chugh and Phalgun Kompalli in March’ 2015, upGrad provides rigorous industry-relevant programs designed and delivered in collaboration with world-class faculty and industry. Merging the latest technology, pedagogy, and services, upGrad is creating an immersive learning experience – anytime and anywhere.
Through exclusive partnerships with some of the most prominent universities like IIIT-Bangalore, MICA, BITS Pilani, ISB, Cambridge Judge Business School- our aim to impart university education, online.
Learning online can be tough, especially when you have to do it all by yourself. Reasons why you should upskill with UpGrad:
- We provide an engaging experience via our suite of learning applications right from the university applications till you get a job and transition
- We provide structured online courses in collaboration with some of the prominent universities and industry experts
- We co-create a rigorous curriculum in collaboration with these universities to provide the learners with a holistic learning experience
- All our courses are comprehensive, structured and rigorous - delivered online, providing you the flexibility and opportunity of continuous learning
- We conduct regular live lectures with the industry experts and the professors
- Each of our learners is allocated with a dedicated student mentor who helps them chart a career path and motivates them to push themselves
- We provide in-depth feedback on all the assignments, case studies, and projects
- We have delivered 400+ successful career transitions and we’re committed to building careers of tomorrow
- You get access to an alumni network of 3,000+ students across the globe
- We also conduct periodic offline events like Hackathons, Bootcamps, Alumni Nights and connect you not only to the professors and industry experts but the peers in your batch too
- Last but not the last, we provide career assistance and help all the learners with interview preparations, mentorship calls, and job placements even after the completion of the program
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Company Description
UpSolve is a Gen AI and Vision AI startup that helps businesses solve their problems by building custom solutions that drive strategic business decisions. Whether your business is facing time constraints or a lack of resources, UpSolve can help. We build enterprise grade AI solutions with focus on increasing ROI.
Role Description
This is a full-time hybrid role for a Business Analyst located in Mumbai.
Please note: This is an onsite role and good communication skills are expected (oral + written)
Responsibilities
1. Understand existing system integrations for the client.
2. Map and identify gaps in existing systems.
3. Ideate, Advise and Implement AI Solutions to optimize business process.
4. Collaborate with multiple teams and stakeholders.
Qualifications
- MBA with focus on Business Analytics or Bachelor's degree in Computer Science or IT
- Minimum 4 Years of Experience
- Strong written, verbal and collaboration skills
- Immediate Joiner (Less than 5 days)
Work Location: Mumbai, Work from Office
Your Day-to-Day
- Derive Insights and drive major strategic projects to improve Business Metrics and take responsibility for cost efficiency and Revenue management across the country
- Perform Market research, Post Mortem analyses on competitor expansion and Market Penetration patterns.
- Provide in-depth business analysis and data insights for internal stakeholders to help improve business. Derive and launch projects in order to reduce the gaps between targeted and projected business metrics
- Responsible for optimizing Carsome’s C2B and B2C customer acquisition and Dealer retention funnel. Work closely with Marketing and Tech teams to create, produce and implement creative digital marketing campaigns and drive CRM initiatives and strategies
- Analyse the Revenue flows and processes large datasets to gather process insights and propose process improvement ideas for Carsome across SE-Asia
- Lead commercial projects & process mapping, from conceptualization to completion, to build or re-engineer business models, tools and processes.
- Having experience in analyses and insights in dealing on Unit Economics, COGs and P&L will be preferred ,but not mandatory
- Use Business Intelligence and Data Science tools to answer the appropriate business problems using SQL, Tableau or Python.
- Coordinate with HQ Data Insights Team and manage internal stakeholders across departments to ensure the smooth delivery of strategic projects
- Work across different departments/functions (BI,DE, tech, pricing, finance, operations, marketing, CS,CX) and also on high impact projects and support business expansion initiatives
Your Know-Know
- At least a Bachelor's Degree in Accounting/Finance/Business or the equivalent.
- 3-5 years of experience in strategy / consulting / analytical / project management roles; experience in e-commerce, Start-ups or Unicorns(CARS24,OLA,SWIGGY,FLIPKART,OYO) or entrepreneur experience preferred + At Least 2 years of experience leading a team
- Top-notch academics from a Tier 1 college (IIM / IIT/ NIT)
- Must have SQL/PostgreSQL/Tableau Experience.
- Excellent Market Research, reporting and analytical skills, including carrying out weekly and monthly reporting
- Holds experience in working with Data/Business Intelligence Team
- Analytical mindset with ability to present data in a structured and informative way
- Enjoy a fast-paced environment and can align business objectives with product priorities
- Good to have : Financial modelling, Developing financial forecasts , development of Financial - strategic plan/framework
Professional experience in Python – Mandatory experience
Basic knowledge of any BI Tool (Microsoft Power BI, Tableau etc.) and experience in R
will be an added advantage
Proficient in Excel
Good verbal and written communication skills
Key Responsibilities:
Analyze data trends and provide intelligent business insights, monitor operational and
business metrics
Complete ownership of business excellence dashboard and preparation of reports for
senior management stating trends, patterns, and predictions using relevant data
Review, validate and analyse data points and implement new data analysis
methodologies
Perform data profiling to identify and understand anomalies
Perform analysis to assess quality and meaning of data
Develop policies and procedures for the collection and analysis of data
Analyse existing process with the help of data and propose process change and/or lead
process re-engineering initiatives
Use BI Tools (Microsoft Power BI/Tableau) and develop and manage BI solutions
- Sound knowledge of Mongo as a primary skill
- . Should have hands on experience of MySQL as a secondary skill will be enough
- . Experience with replication , sharding and scaling.
- . Design, install, maintain highly available systems (includes monitoring, security, backup, and performance tuning)
- . Implement secure database and server installations (privilege access methodology / role based access)
- . Help application team in query writing, performance tuning & other D2D issues
- • Deploy automation techniques for d2d operations
- . Must possess good analytical and problem solving skills
- . Must be willing to work flexible hours as needed
- . Scripting experience a plus
- . Ability to work independently and as a member of a team
- . good verbal and written communication skills
WHAT YOU WILL DO:
-
● Create and maintain optimal data pipeline architecture.
-
● Assemble large, complex data sets that meet functional / non-functional business requirements.
-
● Identify, design, and implement internal process improvements: automating manual processes,
optimizing data delivery, re-designing infrastructure for greater scalability, etc.
-
● Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide
variety of data sources using Spark,Hadoop and AWS 'big data' technologies.(EC2, EMR, S3, Athena).
-
● Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition,
operational efficiency and other key business performance metrics.
-
● Work with stakeholders including the Executive, Product, Data and Design teams to assist with
data-related technical issues and support their data infrastructure needs.
-
● Keep our data separated and secure across national boundaries through multiple data centers and AWS
regions.
-
● Create data tools for analytics and data scientist team members that assist them in building and
optimizing our product into an innovative industry leader.
-
● Work with data and analytics experts to strive for greater functionality in our data systems.
REQUIRED SKILLS & QUALIFICATIONS:
-
● 5+ years of experience in a Data Engineer role.
-
● Advanced working SQL knowledge and experience working with relational databases, query authoring
(SQL) as well as working familiarity with a variety of databases.
-
● Experience building and optimizing 'big data' data pipelines, architectures and data sets.
-
● Experience performing root cause analysis on internal and external data and processes to answer
specific business questions and identify opportunities for improvement.
-
● Strong analytic skills related to working with unstructured datasets.
-
● Build processes supporting data transformation, data structures, metadata, dependency and workload
management.
-
● A successful history of manipulating, processing and extracting value from large disconnected datasets.
-
● Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
-
● Strong project management and organizational skills.
-
● Experience supporting and working with cross-functional teams in a dynamic environment
-
● Experience with big data tools: Hadoop, Spark, Pig, Vetica, etc.
-
● Experience with AWS cloud services: EC2, EMR, S3, Athena
-
● Experience with Linux
-
● Experience with object-oriented/object function scripting languages: Python, Java, Shell, Scala, etc.
PREFERRED SKILLS & QUALIFICATIONS:
● Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
Qualifications
B.Tech/M.Tech
Percentage 70% and above
2018 & 2019 passouts
At least 3 POC Implementations should have done
Premium Institutes passouts are more preferrable
About the Company:
It is a Data as a Service company that helps businesses harness the power of data. Our technology fuels some of the most interesting big data projects of the word. We are a small bunch of people working towards shaping the imminent data-driven future by solving some of its fundamental and toughest challenges.
Role: We are looking for an experienced team lead to drive data acquisition projects end to end. In this role, you will be working in the web scraping team with data engineers, helping them solve complex web problems and mentor them along the way. You’ll be adept at delivering large-scale web crawling projects, breaking down barriers for your team and planning at a higher level, and getting into the detail to make things happen when needed.
Responsibilities
- Interface with clients and sales team to translate functional requirements into technical requirements
- Plan and estimate tasks with your team, in collaboration with the delivery managers
- Engineer complex data acquisition projects
- Guide and mentor your team of engineers
- Anticipate issues that might arise and proactively consider those into design
- Perform code reviews and suggest design changes
Prerequisites
- Between 5-8 years of relevant experience
- Fluent programming skills and well-versed with scripting languages like Python or Ruby
- Solid foundation in data structures and algorithms
- Excellent tech troubleshooting skills
- Good understanding of web data landscape
- Prior exposure to DOM, XPATH and hands on experience with selenium/automated testing is a plus
Skills and competencies
- Prior experience with team handling and people management is mandatory
- Work independently with little to no supervision
- Extremely high attention to detail
- Ability to juggle between multiple projects
Responsibilities
- Build and mentor the computer vision team at TransPacks
- Drive to productionize algorithms (industrial level) developed through hard-core research
- Own the design, development, testing, deployment, and craftsmanship of the team’s infrastructure and systems capable of handling massive amounts of requests with high reliability and scalability
- Leverage the deep and broad technical expertise to mentor engineers and provide leadership on resolving complex technology issues
- Entrepreneurial and out-of-box thinking essential for a technology startup
- Guide the team for unit-test code for robustness, including edge cases, usability, and general reliability
Eligibility
- Tech in Computer Science and Engineering/Electronics/Electrical Engineering, with demonstrated interest in Image Processing/Computer vision (courses, projects etc) and 6-8 years of experience
- Tech in Computer Science and Engineering/Electronics/Electrical Engineering, with demonstrated interest in Image Processing/Computer vision (Thesis work) and 4-7 years of experience
- D in Computer Science and Engineering/Electronics/Electrical Engineering, with demonstrated interest in Image Processing/Computer vision (Ph. D. Dissertation) and inclination to working in Industry to provide innovative solutions to practical problems
Requirements
- In-depth understanding of image processing algorithms, pattern recognition methods, and rule-based classifiers
- Experience in feature extraction, object recognition and tracking, image registration, noise reduction, image calibration, and correction
- Ability to understand, optimize and debug imaging algorithms
- Understating and experience in openCV library
- Fundamental understanding of mathematical techniques involved in ML and DL schemas (Instance-based methods, Boosting methods, PGM, Neural Networks etc.)
- Thorough understanding of state-of-the-art DL concepts (Sequence modeling, Attention, Convolution etc.) along with knack to imagine new schemas that work for the given data.
- Understanding of engineering principles and a clear understanding of data structures and algorithms
- Experience in writing production level codes using either C++ or Java
- Experience with technologies/libraries such as python pandas, numpy, scipy
- Experience with tensorflow and scikit.
Responsibilities
- Installing and configuring Informatica components, including high availability; managing server activations and de-activations for all environments; ensuring that all systems and procedures adhere to organizational best practices
- Day to day administration of the Informatica Suite of services (PowerCenter, IDS, Metadata, Glossary and Analyst).
- Informatica capacity planning and on-going monitoring (e.g. CPU, Memory, etc.) to proactively increase capacity as needed.
- Manage backup and security of Data Integration Infrastructure.
- Design, develop, and maintain all data warehouse, data marts, and ETL functions for the organization as a part of an infrastructure team.
- Consult with users, management, vendors, and technicians to assess computing needs and system requirements.
- Develop and interpret organizational goals, policies, and procedures.
- Evaluate the organization's technology use and needs and recommend improvements, such as software upgrades.
- Prepare and review operational reports or project progress reports.
- Assist in the daily operations of the Architecture Team , analyzing workflow, establishing priorities, developing standards, and setting deadlines.
- Work with vendors to manage support SLA’s and influence vendor product roadmap
- Provide leadership and guidance in technical meetings, define standards and assist/provide status updates
- Work with cross functional operations teams such as systems, storage and network to design technology stacks.
Preferred Qualifications
- Minimum 6+ years’ experience as Informatica Engineer and Developer role
- Minimum of 5+ years’ experience in an ETL environment as a developer.
- Minimum of 5+ years of experience in SQL coding and understanding of databases
- Proficiency in Python
- Proficiency in command line troubleshooting
- Proficiency in writing code in Perl/Shell scripting languages
- Understanding of Java and concepts of Object-oriented programming
- Good understanding of systems, networking, and storage
- Strong knowledge of scalability and high availability