Careers
We are looking for people who share our mission: to enable organizations to make better decisions using decision analytics. We believe that improving decision making is the foundation for enabling and sustaining intelligent enterprises and a better society.
- Industry context: Narrow AI for Decision Intelligence, as a subset of the academic domain of Decision Analytics.
- Our mission: Realizing the dream of the Intelligent Enterprise
- Our Decision Analytics SaaS: the FrogData Decision Analytics Platform provides online decision analytics as a cloud-based subscription service with customers in North America. FrogData is an Auto Dealer Analytics Platform. It is designed for Dealer Principals, General Managers and CFOs. This platform delivers Advanced Reporting, Business Insights, Predictive Analytics, and Prescriptive Analytics for Auto Dealers, helping them make better decisions that have positive impact on their business.
We are part of a diversified automotive solutions company with offices around the world and we service thousands of dealerships worldwide. We intend to establish FrogData as a dominant player in the analytics market for the automotive industry and are investing heavily in technology and people. Openings are listed below. For your selected opening, you should have the required skills or be able to show that you can rapidly grow into the role. Please note that all these positions require In-the-office work, not work-from-home or hybrid work. Please send your resume to HR@CoBotSystems.com to apply.
Actively hiring in our Bangalore location
Lead Engineer
- Responsibilities:
- Build the analytics software product (event-driven AWS SaaS analytics architecture, core technologies: Python, pandas, AWS EventBridge, AWS Step Functions)
- Design, develop, test, deploy and maintain a scalable, highly-available, autonomous, intelligent, and reliable system
- Establish software engineering processes and discipline for fast and reliable development of high-quality software product
- Lead a team of software engineers, work with cross functional teams across multiple countries and time zones
- Skills:
- Design, code, test, deploy, and maintain software
- Python, pandas, JavaScript, flask, MongoDB (NoSQL), numpy, scipy
- SQL and RDBMS
- Experience: 7 to 10 years of experience
Operations Manager
- Responsibilities: customer-facing leadership role, responsible for customer on-boarding, support, and system operations. This position is a key leadership position responsible for providing strategic leadership and daily operational management of the analytics teams.
- Analytics Delivery
- Analytics Projects (Understand, Analyze, and Report)
- Automate Analytics Delivery (Define, Design, Test, and Stabilize)
- On-boarding and Operations
- Customer Portfolio Status (on-boarding and operations)
- Customer On-boarding Projects
- Customer Support and System Updates
- Decision Advisory (provide advice, enable adoption, drive adaptation)
- Skills:
- Analytics skills (statistics, operations research, decision analysis)
- Analytics systems implementation skills
- Project delivery, task-allocation, deliverable quality, planning, and communication
- Team leadership, process improvement, and customer satisfaction
- Understanding of ERP, CRM, and Accounting Systems
- Experience: 5 to 10 years of experience
- Education: Bachelor's degree in Industrial Engineering, Production Engineering, or Operations Research
Business Analytics Associate
- Responsibilities:
- On-board customers onto our enterprise decision analytics platform, set up dataflows, ensure data tie-out from a technical and business perspective
- Determine business gaps and opportunities in the large set of analyses we produce for our clients, assure data accuracy and model integrity, and provide consulting on data-driven decision-making
- Design and prototype data pipelines and decision models to systematically improve decision-making
- Skills: business perspective, data understanding, communication. If you do not know the basics of using MS Excel for data analysis (see below), you are not qualified.
- To get the job: we assess your skills in data analysis using Microsoft Excel and (optionally) Pandas as a way to determine your grasp of the business question, data-wrangling/statistics, and analysis. In MS Excel, you should know about working with number, text, and date fields in large data-sets (freeze-panels, auto-filter, sort, pivot, tables, remove duplicates), formulas (vlookup, countif, sumif, eomonth, weekday, average, median, quartile, etc.), and charts (including scatter, column, column and line, bubble, histogram, box & whisker, waterfall, etc.). Do these courses to learn Excel: Intro to Data Analysis using Excel (2 hours) Data Analytics using Excel (1.5 Hours).
- Experience: 0 years of experience
- Career Path: We enable learning-by-doing on our decision analytics platform. The platform uses Python, Python libraries such as Pandas, Pulp, etc., MongoDB, and AWS Cloud. For prototyping and support we use tools such as MS Excel, Jupyter notebooks, VS Code, etc. Domains of learning include decision intelligence, data engineering, data stewardship, etc. We assess performance, rate-of-learning and aptitude. We assign to teams based on ability and preference.
Operations Team Leader
- Responsibilities:
- Customer On-boarding Projects
- Customer Operations Support Cases
- Skills:
- Data analysis and reporting using MS Excel
- Managing a small team of people to do tasks, adherence to process, teaching team members, ensuring delivery timeliness and quality
- Experience: 5 to 10 years of experience
Business Analytics Process Manager
- Responsibilities: An experienced and highly organized Business Analytics Process Manager to join our team. This role is responsible for providing analytics services to international clients. You will work closely with cross-functional teams, stakeholders, and senior management to ensure projects are delivered on time, within budget, and meet business objectives.
- Deliver business analysis projects, ensuring that high quality deliverables are provided on time and within budget
- Collaborate with stakeholders, business units, and subject matter experts to identify, analyze, and execute process improvements
- Provide leadership, guidance, and support to team members, fostering a positive and collaborative work environment
- Skills:
- Business process management, project management, and process improvement
- Data analysis using MS Excel
- Leadership and communication
- Experience: 10 to 15 years of experience
Hiring is closed for these positions but spots open up so please check again later
Business Analytics Consultant
- Responsibilities:
- On-board customers onto our enterprise decision analytics platform, set up dataflows, ensure data tie-out from a technical and business perspective
- Determine business gaps and opportunities in the large set of analyses we produce for our clients, assure data accuracy and model integrity, and provide consulting on data-driven decision-making
- Design and prototype data pipelines and decision models to systematically improve decision-making
- Skills: business perspective, data understanding, communication. If you do not know the basics of using MS Excel for data analysis (see below), you are not qualified.
- To get the job: we assess your skills in data analysis using Microsoft Excel as a way to determine your grasp of the business question, data-wrangling/statistics, and analysis. In MS Excel, you should know about working with number, text, and date fields in large data-sets (freeze-panels, auto-filter, sort, pivot, tables, remove duplicates), formulas (vlookup, countif, sumif, eomonth, weekday, average, median, quartile, etc.), and charts (including scatter, column, column and line, bubble, histogram, box & whisker, waterfall, etc.).
- At work: you will develop skills in Statistical Process Control, Forecasting, Correlation, Optimization, and Decision Analysis. We use MS Excel as well as R and Jupyter notebooks, python and pandas for data analysis and visualization. The tool is not the concern, your ability to think and analyze data is the key.
- Experience: 0 to 3 years of experience
- Career Path: Senior Business Analytics Consultant
- Read this before you apply: How to explore starting a career in Analytics (a.k.a. Data Science). Do these courses to learn Excel: Intro to Data Analysis using Excel (2 hours) or Data Analytics using Excel (1.5 Hours).
- Credentials: in case you have any of these, please send them along with your resume
- The INFORMS aCAP certification, ref https://www.certifiedanalytics.org/acap
- Scores for CAT (https://iimcat.ac.in/), GRE (https://www.ets.org/gre.html), or GMAT (https://www.mba.com/exams/gmat-exam/)
Software Engineer (Data Engineer)
- Responsibilities:
- Design, build, test, deploy and maintain the data pipelines and analytics SaaS for customers
- Develop software for the platform using Python, pandas, MongoDB, AngularJS, etc.
- Data extraction, loading, transformation (ELT), enrichment, analytics, and visualization
- Skills: Python, pandas, AngularJS
- To get the job: we assess your skills in software engineering with Python, pandas, and JavaScript (AngularJS). Python is the highest-ranked way to build analytics systems, and JavaScript for data visualization and user interfaces.
- At work: you will develop skills in Python and pandas for data analysis and visualization, event-driven AWS SaaS analytics architecture, the MongoDB NoSQL database, and front-end coding in JavaScript, CSS, and HTML. The opportunity is to create a multi-enterprise decision analytics platform that goes from data to insights and then from insights to value. This is the future of analytics.
- Experience: 0 to 3 years of experience
- Career Path: Senior Software Engineer or Delivery Leader
- Read this before you apply: How to get an entry-level job as an Data Engineer or Analytics Software Engineer
- Learning path
- Python
- Python basics, ref
- https://learn.microsoft.com/en-us/training/paths/beginner-python/
- https://www.simplilearn.com/learn-python-basics-free-course-skillup, and
- the Jupyter Notebook: https://www.dataquest.io/blog/jupyter-notebook-tutorial/
- GET and POST requests, ref https://www.geeksforgeeks.org/get-post-requests-using-python/
- Flask Python web app framework, ref https://opensource.com/article/18/4/flask
- Simple ETL with Pandas, ref https://deepnote.com/@rickyharyanto14-3390/Simple-ETL-w-Pandas-7c198322-fad0-4af7-a6f8-a7ac4c020b0d#
- Practice using car sales data: https://www.kaggle.com/datasets/gagandeep16/car-sales
- System Operations Basics
- File Management in Microsoft Windows and Ubuntu Linux
- MongoDB: access, update, and delete operations
- Git Operations, ref https://www.atlassian.com/git/glossary
