Senior Product Manager

Job Title: MIS Executive

Job Type - Full Time

Location – Indore

Summary/Objective:

The MIS Executive will be responsible for managing and analyzing data, generating reports, and providing insights to support effective decision-making within the organization. The role involves maintaining and enhancing the Management Information System (MIS) to ensure accurate and timely information flow.

Key Responsibilities:

·        Collect, compile, and analyze data from various sources to create comprehensive reports.

·        Develop and maintain efficient databases, ensuring data accuracy and integrity.

·        Generate and distribute daily, weekly, and monthly reports to relevant stakeholders.

·        Implement data validation and cleansing processes to ensure data accuracy.

·        Collaborate with different departments to understand their data requirements and provide support in extracting relevant information.

·        Identify and implement process improvements to enhance data quality and reporting efficiency.

·        Conduct regular audits of data to identify and rectify discrepancies.

·        Stay updated on industry trends and best practices in data management and reporting.

Qualifications/Requirements:

Education:

·        Bachelor's degree in any field.

Experience:

·        Minimum 2 years of proven experience in an MIS Executive role.

·        Jewelry industry experience is good to have

Required Skills:

·        Skilled in product cost analysis, order management, invoicing knowledge, and comprehensive inventory oversight.

·        Strong analytical and problem-solving skills.

·        Proficient in data analysis tools and Microsoft Excel.

·        Database management systems and SQL.

·        Excellent communication and interpersonal skills.

·        Ability to work independently and collaboratively in a team.

·        Detail-oriented with a high level of accuracy.

DA DS Trainer JD:

Key Responsibilities:

Develop and deliver comprehensive training programs on data science topics, including machine learning, artificial intelligence, big data, data mining, and predictive analytics.

Create engaging and interactive training materials, including presentations, hands-on exercises, case studies, and assessments.

Conduct classroom, online, and one-on-one training sessions for students at different skill levels.

Evaluate students' performance and progress, providing feedback and support to help them improve.

Stay up-to-date with the latest trends and best practices in data science and incorporate them into training programs.

Collaborate with other trainers and industry experts to continuously improve training content and methodologies.

Assist in the development of training schedules and manage training logistics.

Provide mentorship and career guidance to students aspiring to build a career in data science.

Qualifications:

Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field; a Master’s degree is a plus.

Proven experience as a Data Science Trainer or a similar role.

In-depth knowledge of data science concepts and hands-on experience with tools like Python, R, TensorFlow, and Hadoop.

Excellent presentation and communication skills.

Strong organizational and time-management abilities.

Ability to simplify complex concepts and deliver them in an understandable manner.

Certification in Data Science (e.g., Microsoft Certified: Azure Data Scientist Associate) is preferred.

Preferred Skills:

Experience with LMS (Learning Management Systems) and e-learning platforms.

Strong analytical and problem-solving skills.

Ability to adapt training methods to different learning styles.

Passion for continuous learning and professional development.

Benefits:

Competitive salary and performance-based incentives.

Professional development opportunities.

Flexible working hours.

Collaborative and innovative work environment.

Responsibilities include:

1. Designing, developing & deploying the product

2. Work as part of a team to build React Native iOS / Android applications

3. Architect, build and maintain excellent React Native applications with clean code

4. Translating wireframes and PSD designs into functional responsive apps, Implement pixel perfect UI's that match designs

5. Binding UI elements to JavaScript object models, work with native modules when required

6. Creating RESTful services with Node.js

7. Developing scalable web architectures

8. Working in a cross-functional team to deliver a complete user experience

9. Creating unit and integration tests to ensure the quality of code

10. Being responsive to change requests and feature requests

11. Writing code that is cross-platform and cross-device compatible

12. Co-ordinating end-to-end implementation

13. Release applications to iOS and Google Play stores

Technical Architect, Nodejs, , Restful APIs, Python,  NodeJS,  HTML5, CSS3, jQuery, Bootstrap, JavaScript, AJAX, Postman, REST API, Express

• Manage relations with existing clients, make client reports and quotations.
• Onboard new clients on our mobile application and maintain a healthy relation with them by catering to every infrastructural material and other requirements
• Set up and conduct business collaboration meetings with companies and our suppliers.
• Identify new avenues of growth, suggesting and building campaigns which can benefit the overall performance of the sales department.
• Convert leads to business with lead generation, customer interaction, and persuasive skills
• Meet weekly, monthly, and annual sales quotas through the successful implementation of sales and marketing strategies and tactics.
• Communicate with various target groups, understanding their needs, maintaining relationships 
• Identify sales leads, pitch services to new clients, and maintain a good working relationship with them.
• Work with the internal product and management teams to increase sales opportunities for the organization

Opportunity in our Product Team?
Our system has over 4 products & 12 modules designed by product managers working with banking & finance experts. The company’s growth from here is based on a multi-product strategy. The way we’re scaling our product team is in-line with the company’s strategy.

Your customers are the CFOs & Finance Teams in mid to large scale enterprise businesses and you will build these products to solve the problems faced by them.

You’ll become familiar with all parts of our stack from end to end. You’ll design and implement features to be scalable and resilient by working with both our infrastructure engineers and our product engineers. You’ll be a driver for positive change to Finly’s engineering culture, processes and technology.

Here are some examples of the projects in the different products:
Payment automation by building a deep integration with multiple banking systems:

• Governance frameworks with policy controlled workflows.
• Core finance document management system.
• Automating reconciliation of transactions across business
• Collaboration tools among finance, vendors & employees.
• Continuous ETL for integrating with CRMs like Salesforce & Accounting Systems like SAP.

WITHIN 1 MONTH, YOU'LL

• Complete Finly’s new-hire training week, and learn Accounts Payable
• Processes & the various partners we work with to make Finly happen.
• Investigate, solve and release a bug fix to production. In order to do this you will ramp up on Finly’s engineering stack by pair-programming with your teammates and attending engineering training sessions designed and presented by the team.
• Meet with cross-functional peers around the company to learn how the product functions.
• Complete your engineering starter project and deploy your first changes to production.

WITHIN 3 MONTHS, YOU'LL

• Individually contribute reliably ship full features to customers.
• Own major product areas and take features from mock to deploy.
• Estimate technical scope and time to complete major features and initiatives.

WITHIN 6 MONTHS, YOU'LL

• Move to new product vertical & initiative and start designing and architecting scalable systems as per the requirements discussed with Product Manager.
• Have made a visible impact on the product for all the users of Finly.
• Work closely with your team to remove roadblocks, educate on best practices and improve how we work.
• Be comfortable navigating most of our stack and infrastructure
• Be responsible for the planning, scoping, design, and implementation of new features
• Participate in interviewing and hiring, as a way to influence team growth and how our values inform our culture

WITHIN 12 MONTHS, YOU'LL

• Individually contribute and lead teams to reliably ship full features to customers.
• Estimate technical scope and time to complete major products and initiatives.
• Define tools and standards for product engineering to measure performance impact of releases
• Help grow other engineers technically by mentoring, pairing and developing other learning opportunities
• Collaborate with engineering and product leadership to define priorities and set delivery goals.

So in this role, you will work with the respective team’s product manager and other engineers in that team. You may work on the front-end or backend or both based on the requirement of the project.

Join us & have the authority and responsibility to make things happen!

Key Responsibilities:

• Partnering with clients and internal business owners (product, marketing, edit, etc.) to understand needs and develop models and products for Kaleidofin business line.
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, hyperparameter tuning, ensembling etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
• Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modeling.
• Innovate on projects by using new modeling techniques or tools.
• Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept.
• Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes.

Skills:

• 2+ year experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, Boosting trees, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)
• Experience in risk and credit scoring domains preferred