Analytics engineer

Main responsibilities and duties:

 Reviews deals on Salesforce with a commercial mindset and assesses the strength and

revenue potential of the deal.

 Has a good understanding of deal structures, and key KPIs e.g. discount, fee etc and uses this

knowledge to suggest improvements to submitted deals in order to maximise potential

profit.

 Works closely with the Merchandiser to ensure deals on-site are bringing in incremental

sales and aren’t cannibalising other deals.

 Provides relevant focus to the sales team to improve quality of deal submissions.

 Prioritises approved deals on the copy board, ensuring deals are written in priority order,

ensuring deals launch in time for key selling periods.

 Schedules launch date of deals.

 Identifies top deals that require a more in-depth write-up from the copy team and ensures

these are written in a timely manner.

Technical Skills required:

 BCom/BBA/MBA Degree or previous experience in a relevant sector

 Proficiency in Microsoft tools (e.g. excel)

 Ability to analyse data sets in order to arrive at logical conclusions

 Experience in tools such as SQL and Power Bi useful but not essential

Soft Skills required:

 Ability to prioritise and multitask, responding to ad-hoc data requests whilst taking care of

ongoing tasks / projects

 Ability to work with people with a variety of styles and working cultures

 Analytical mindset

 Attention to detail

 Strong communication

 Commercial Acumen

RESPONSIBILITIES:

• You will be involved in directly driving application of machine learning and AI to solve various product and business problems including ML model lifecycle management with ideation, experimentation, implementation, and maintenance.

• Your responsibilities will include enabling the team in moving forward with ML/AI solutions to optimise various components across our music streaming platforms.

• Your work would be impacting millions of users the way they consume music and podcasts, it would involve solving cold start problems, understanding user personas, optimising ranking and improving recommendations for serving relevant content to users.

• We are looking for a seasoned engineer to orchestrate our recommendations and discovery projects and also be involved in tech management within the team.

• The team of talented, passionate people in which you’ll work will include ML engineers and data scientists.

• You’ll be reporting directly to the head of the engineering and will be

instrumental in discussing and explaining the progress to top management and other stake holders.

• You’ll be expected to have regular conversations with product leads and other engineering leads to understand the requirements, and also similar and more frequent conversation with your own team.

REQUIREMENTS:

• A machine learning software engineer with a passion for working on exciting, user impacting product and business problems

• Stay updated with latest research in machine learning esp. recommender systems and audio signals

• Have taken scalable ML services to production, maintained and managed their lifecycle

• Good understanding of foundational mathematics associated with machine learning such as statistics, linear algebra, optimization, probabilistic models

Minimum Qualifications

• 13+ years of industry experience doing applied machine learning

• 5+ years of experience in tech team management

• Fluent in one or more object oriented languages like Python, C++, Java

• Knowledgeable about core CS concepts such as common data structures an algorithms

• Comfortable conducting design and code reviews

• Comfortable in formalising a product or business problem as a ML problem

• Master’s or PhD degree in Computer Science, Mathematics or related field

• Industry experience with large scale recommendation and ranking systems

• Experience in managing team of 10-15 engineers

• Hands on experience with Spark, Hive, Flask, Tensorflow, XGBoost, Airflow

Subject Matter Expert also referred to as SME, is a person who has special skills or knowledge on a particular job or topic. An SME is considered an expert on a certain topic – not only educated on the subject but has the capacity to share their knowledge with other team members.

Qualification for SME Insurance:

1. 3-5 experience in the insurance industry
2. Experience in insurance products (all products including life, health & general) and processes and the insurance industry chain
3. Bachelor’s degree (or equivalent)
4. English: Fluent

Roles and responsibilities

1. Strong Process & product knowledge of the Insurance products
2. Keeping up-to-date with industry developments. Offer solutions and suggestions for process and product improvement to management.
3. Responsible for facilitating OJT for the new joiners on all Insurance related products and processes. 
4. Help in designing a best-in-class customer support and engagement journey for insurance products.
5. Liaise with different stakeholders/partners for quicker resolution of customer inquiries and requests.
6. Ability to take ownership and work for early resolution and closure of customer issues.
7. Ability to accept change and make the best of any situation.
8. Proactive in highlighting/ escalating issues/ concerns/ Areas Of Improvements/ opportunities to the leadership team to get their help as and when needed
9. Handling and monitoring of all complaints received through all mediums through tracking in defined TATs
10. Ensure that complaint closure quality (RCA) is tracked closely by ensuring first understanding all the issues highlighted by the customer. Maintenance of all RCAs and process improvements undertaken for relevant complaints
11. Keeping up to date with all the regulatory requirements and changes in the Insurance industry

Looking For Java Developer who will help Build large scale distributed systems. The ideal candidate will be a thinker and a team player with a passion for technology and with a knack for benchmarking and optimization.

• Computer Science fundamentals in object-oriented design, data structures, algorithms, problem solving, and complexity analysis

• Must have hands on experience on coding in Core Java, multithreading, concurrency and collection.

Good knowledge of Microservices.

• Knowledge of professional software engineering practices. Understanding of full software development life cycle, including coding standards, code reviews.

• Strong technical Design and Development skills

• Ability to work effectively under pressure in a dynamic environment.

• Agility to switch across multiple teams/ products/ applications and perform

• Experience in translating requirements into technical design specifications and documentation, as well as executing development projects from conception to delivery

• Excellent verbal and written communication skills

• Role/Level: AR Analyst- Process Analyst (PA)/ Sr Process Analyst(SPA)
• Notice period: Immediate joiners preferred (do not submit profiles who’s salary expectation if above 4.6 LPA fixed)
• Experience: 1+ years(for PA)/2+ years (for SPA)
• Location- Bangalore, Bannerghatta Road, Arekere gate & Chennai
• Must have:

Accounts receivable, AR calling, Denial management.

Process: Voice.

About LikeMinds: Platform for creators to build communities and monetize them: Social Networks have become more media platforms than “social” platforms. They are not designed to make real human connections. Demand for more intimate online places is higher than ever. Communities are in huge demand! Also, these “Ad-driven” platforms only reward top creators. Most creators are left out - no matter how engaged their audience is. They have to constantly beat algorithms to reach out to their own audience. Over 50 million people around the world consider themselves creators. 97% of them aren’t getting paid. As a result creators are flocking to platforms like Slack, Discord, WhatsApp & Telegram - none of which were built either for community engagement or creator monetization. Community creators have to go through the pain of managing multiple third party tools to engage and monetize their community. LikeMinds helps creators to convert their audience into a branded private community. They can monetize it by selling digital products like memberships, group chats, events, consultations and courses. As a platform purpose-built for community entrepreneurs, LikeMinds has inbuilt tools for member acquisition, onboarding, retention, moderation, monetization, and referrals. Our platform enables creators to drive high engagement and belonging via chat rooms, events, polls, member directory, and rewards. These features are in addition to powerful business tools like community website, subscription management, event reminders, analytics dashboard, cohort creation, in-app banners, data export, and much more. Custom integrations are also available for creators with existing assets.In the last few months, we have helped 100+ creators monetize their communities. These include entertainers, fitness & wellness trainers, professional domain experts, language instructors, life coaches, financial experts, micro-entrepreneurship coaches, and exam prep coaches. We are a team of entrepreneurs, techies and community builders with credible backgrounds supported by 2 large VCs.

Job Description:

1. Bachelor's degree in Computer Science, Engineering or related field, or equivalent training, fellowship, or work experience
2. 2+ years of practical experience in Native Android Development
3. 2+ years of experience using Kotlin/Java
4. Experience developing highly performant code and view layouts and the ability to diagnose performance bottlenecks
5. Designing applications with latest frameworks and architecture such as MVVM, etc.
6. An excellent understanding of best practices for concurrency and threading is a big plus
7. A disciplined approach to development, testing, documentation and code structure in a team environment
8. A constant desire to improve, learn more and take things higher
9. Having worked with the Realm database and dagger is a big plus