HR Executive

Job Title : Analytics Engineer

Experience : 6+ Years

Location : Gurgaon | Bangalore | Ahmedabad | Chennai

Work Mode : Work From Office

Employment Type : Contract (6 Months)

About the Role :

We are looking for an experienced Analytics Engineer to design, develop, and optimize scalable data models and analytics solutions that drive business decision-making. The ideal candidate should have strong expertise in SQL, dbt, data modeling, data quality, and modern analytics engineering practices.

Mandatory Skills :

SQL, dbt, Data Modeling, Data Warehousing, ETL/ELT, Query Optimization, Data Quality, Git, CI/CD, Analytics Engineering, Data Transformation, Data Governance, Stakeholder Management.

Key Responsibilities :

• Design and maintain scalable data warehouse models, data marts, and analytical datasets.
• Build and optimize data transformation pipelines using SQL and dbt.
• Develop high-performance SQL queries using CTEs, Window Functions, Complex Joins, and Analytical Functions.
• Implement data quality checks, testing frameworks, and governance best practices.
• Manage end-to-end analytics development lifecycle, from requirement gathering to deployment.
• Work with Git, CI/CD pipelines, and version control best practices.
• Collaborate with business and technical stakeholders to deliver reliable analytics solutions.
• Troubleshoot and optimize data pipelines, models, and query performance.

Required Skills :

• 6+ years of experience in Analytics Engineering, Data Engineering, or related roles.
• Strong expertise in SQL and query performance optimization.
• Hands-on experience with dbt (Data Build Tool).
• Strong understanding of data modeling and data warehousing concepts.
• Experience with Git, CI/CD, and software development best practices.
• Knowledge of data quality frameworks, testing, and validation techniques.
• Ability to independently manage design, development, testing, documentation, and deployment.

Preferred Skills :

• Experience with cloud-based data platforms.
• Exposure to orchestration and scheduling tools.
• Understanding of data governance and compliance frameworks.
• Experience in performance tuning and cost optimization.
• Prior mentoring or technical leadership experience.

What We're Looking For :

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to work independently in a fast-paced environment.
• Passion for building scalable, reliable, and high-quality analytics solutions.

Position Overview:

We are seeking a highly motivated and skilled Real-World Evidence (RWE) Analyst to join growing team. The successful candidate will be instrumental in generating crucial insights from real-world healthcare data to inform decision-making, improve patient outcomes, and advance medical understanding. This role offers an exciting opportunity to work with diverse healthcare datasets and contribute to impactful research that drives real-world change.

Key Responsibilities:

For Both RWE Analyst (Junior) & Senior RWE Analyst:

• Data Expertise: Work extensively with real-world healthcare data, including Electronic Medical Records (EMR), claims data, and/or patient registries. (Experience with clinical trial data does not fulfill this requirement.)
• Methodology: Apply appropriate statistical and epidemiological methodologies to analyze complex healthcare datasets.
• Communication: Clearly communicate findings through presentations, reports, and data visualizations to both technical and non-technical audiences.
• Collaboration: Collaborate effectively with cross-functional teams, including clinicians, epidemiologists, statisticians, and data scientists.
• Quality Assurance: Ensure the accuracy, reliability, and validity of all analyses and reports.
• Ethical Conduct: Adhere to all relevant data privacy regulations and ethical guidelines in real-world data research.

Specific Responsibilities for RWE Analyst (Junior):

• Perform statistical analysis on real-world healthcare datasets under guidance.
• Contribute to the development of analysis plans, often by implementing predefined methodologies or refining existing approaches.
• Prepare and clean data for analysis, identifying and addressing data quality issues.
• Assist in the interpretation of study results and the drafting of reports or presentations.
• Support the preparation of journal publication materials based on RWE studies.

Specific Responsibilities for Senior RWE Analyst:

• Analysis Design & Leadership: Independently design and develop comprehensive analysis plans from inception for RWE studies, identifying appropriate methodologies, data sources, and analytical approaches. This role requires a "thinker" who can conceptualize and drive the analytical strategy, not just execute pre-defined requests.
• Project Management: Lead and manage RWE projects from conception to completion, ensuring timely delivery and high-quality outputs.
• Mentorship: Mentor and guide junior RWE analysts, fostering their development in real-world data analysis and research.
• Methodological Innovation: Proactively identify and evaluate new methodologies and technologies to enhance RWE capabilities.
• Strategic Input: Provide strategic input on study design, data acquisition, and evidence generation strategies.

Qualifications:

For Both RWE Analyst (Junior) & Senior RWE Analyst:

• Bachelor's or Master's degree in Epidemiology, Biostatistics, Public Health, Health Economics, Data Science, or a related quantitative field. (PhD preferred for Senior RWE Analyst).
• Demonstrable hands-on experience working with real-world healthcare data, specifically EMR, claims, and/or registry data. Clinical trial data experience will not be considered as meeting this requirement.
• Proficiency in at least one statistical programming language (e.g., R, Python, SAS, SQL).
• Strong understanding of epidemiological study designs and statistical methods relevant to RWE.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills.

Specific Qualifications for RWE Analyst (Junior):

• 4+ years of experience in real-world data analysis in a healthcare or pharmaceutical setting.
• Involvement with journal publications is highly desirable. (e.g., co-authorship, contribution to manuscript preparation).

Specific Qualifications for Senior RWE Analyst:

• 5+ years of progressive experience in real-world data analysis, with a significant portion dedicated to independent study design and leadership.
• A strong track record of journal publications is essential. (e.g., lead author, significant contribution to multiple peer-reviewed publications).
• Proven ability to translate complex analytical findings into actionable insights for diverse stakeholders.
• Experience with advanced analytical techniques (e.g., machine learning, causal inference) is a plus.

Preferred Skills (for both roles, but more emphasized for Senior):

• Experience with large healthcare databases (e.g., IQVIA, Optum, IBM MarketScan, SEER, NDHM).
• Knowledge of common data models (e.g., OMOP CDM).
• Familiarity with regulatory guidelines and best practices for RWE generation.

We're hiring a skilled AI Developer to join our growing team at Geo Wave Pvt Ltd, based in Malé, Maldives. You’ll lead the development of smart automation tools, reporting dashboards, and AI systems to optimize our internal operations across fuel, logistics, and finance.

Responsibilities:

• Build and deploy AI-powered business tools
• Implement OCR/NLP solutions for document automation
• Create custom dashboards and backend APIs
• Automate workflows for reporting, inventory, and sales tracking

Must-Have Skills:

Python, Flask/FastAPI, TensorFlow/PyTorch, OCR/NLP, API development

Good-to-Have:

React.js, PostgreSQL, AWS/GCP, Docker

Job Description: Senior App Developer – React Native

About the firm:

Sustainability lies at the core of Stantech AI, our vision is to empower organisations to derive actionable insights: effectuating a smarter way of working. We operate on the premise that each firm is unique and as such requires its own idiosyncratic solutions. Putting this principle into practice, we deliver tailor made solutions to digitalise, optimise, and strategise fundamental processes underpinning the client organisations. For more information, please refer to our website: www.stantech.ai.

Position Overview

We are seeking a skilled React Native Mobile Developer with a minimum of 3 years of professional experience to join our dynamic team. The ideal candidate will have a strong design sense and proven expertise in developing scalable, high-performance mobile applications—especially in the enterprise domain (e.g., sales team apps, sales CRM, purchase modules, and similar solutions). You will work closely with our cross-functional teams to translate requirements into compelling features and ensure seamless user experiences.

Key Responsibilities:

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Design & Development: Build and maintain robust, efficient, and scalable mobile applications using React Native for both iOS and Android platforms.

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Collaboration: Work with cross-functional teams (Product, Design, QA, etc.) to identify user needs and incorporate feedback effectively.

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Code Quality: Write clean, maintainable, and well-documented code. Follow best coding practices and maintain compliance with organizational guidelines.

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Performance Optimization: Optimize app performance for speed and responsiveness; troubleshoot and debug to maintain smooth user experiences.

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Integration: Collaborate with backend teams to integrate RESTful APIs and other third-party services into mobile applications.

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Continuous Improvement: Stay updated with the latest industry trends and best practices in mobile development, ensuring the continuous improvement of apps.

Skills and Qualifications:

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Bachelor’s degree in Computer Science, Information Technology, or a related field.

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Proven experience as a React Native Developer with a strong portfolio of released applications on the App store or the Android market.

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Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model.

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Knowledge of mobile app development life cycle, and experience with performance and memory tuning tools.

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Strong understanding of handling various mobile device capabilities such as GPS, battery optimization, and data connectivity toggles (e.g., airplane mode).

•

Familiarity with cloud message APIs and push notifications.

Financial Package:

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Rs. 10-20 Lakhs per annum, contingent on work experience.

Apply - https://forms.gle/J7u9jjTsibERDGqs5

Company Profile:

We are a product-based Medical Devices company focused on providing State of the art Surgical Navigation Systems. Only a handful of companies across the world develop computer-assisted surgery solutions. We are proudly The First Indian Company in this domain and strive to make India Self-reliant in this highly specialized domain. We operate in the complex areas of Neuro& Ortho surgeries with our teams and systems closely assisting surgeons in the live OT environment.

We provide our clients with World class accuracy and we provide our employees with the best benefits. HRS Navigation is currently in the growth stage and is clocking exponential growth year after year.

What we are looking for:

Do you get a kick out of watching software unfold before your eyes? If so, we’d love to talk to you about it. We’re looking for a top “Senior Software Engineer” who always sweats the small stuff and cares about impeccable code. If you see glitches as an enjoyable challenge

rather than a hardship and if you are willing to put in hours to code where your codes can positively impact how surgeries are done, get in touch with us today

Qualifications: Bachelor’s or Master’s degree in computer engineering or computer science or any equivalent degree

Experience : 3–6-year experience.

Skills Required :

• 3 years of experience on QT development & C++
• Proficiency in coding with best practices while developing code in QT and C++
• Proficiency in programming user interfaces and data visualization with the QT Framework
• Must have experience on object-oriented analysis and design OOPs, Design patterns, Data structures,algorithms, etc.

• Experience with QT, VTK, OpenCV, etc preferred.

•Experience in Windows/Desktop applications is preferred.

•Experience working with Waterfall / Agile development technologies.

•Experience creating and maintaining databases.

•Knowledge of system frameworks including .NET, Git, and GitHub.

•Knowledge of the software development life-cycle.

•Must have excellent analytical and problem-solving skills

•Good interpersonal skills.

•The desire to work in a fast-paced environment.

ML Engineer

HackerPulse is a new and growing company. We help software engineers showcase their skills using AI powered profiles. As a Machine Learning Engineer, you will have the opportunity to contribute to the development and implementation of advanced Machine Learning (ML) and Natural Language Processing (NLP) solutions. You will play a crucial role in taking the innovative work done by our research team and turning it into practical solutions for production deployment. By applying to this job you agree to receive communication from us.

*Make sure to fill out the link below*

To speed up the hiring process, kindly complete the following link: https://airtable.com/appcWHN5MIs3DJEj9/shriREagoEMhlfw84

Responsibilities:

1. Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.
2. Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.
3. Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.
4. Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.
5. Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.
6. Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.
7. Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.
8. Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.
9. Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.
10. Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.
11. Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.
12. Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.

Qualifications:

1. Degree in Computer Science or related discipline or equivalent practical experience, with a strong emphasis on machine learning and natural language processing.
2. Proven experience and in-depth knowledge of ML techniques, with a focus on implementing deep-learning approaches for NLP tasks in the context of productizing research goals.
3. Ability to apply engineering best practices to make architectural and design decisions aligned with functionalities, user experience, performance, reliability, and scalability in the development of deployable ML services.
4. Substantial experience in software development using Python, Java, and/or C or C++, with a particular emphasis on integrating machine learning models into production-ready software solutions.
5. Demonstrated problem-solving skills, showcasing the ability to address complex situations effectively, especially in the context of improving models, data engineering, and deployment processes.
6. Strong interpersonal and communication skills, essential for effective collaboration within cross-functional teams consisting of research, development, and frontend teams.
7. Proven time management skills to handle dynamic and agile development situations, ensuring timely delivery of solutions in a fast-paced environment.
8. Self-motivated contributor who frequently takes initiative to enhance the codebase and share best practices, contributing to the development of an open, transparent, and collaborative engineering culture.

• Own the development/improvement of products and features.
• Own the responsibility for creating a great user experience on the products and features you work on.
• Build features end-to-end: both the user interfaces and the backend APIs.
• Set technical standards and lead the team in building a world-class scalable software development process.
• Lead large-scale design updates and rollouts.
• Partner with infrastructure engineers to scale the product.
• Investigate state-of-the-art frameworks and tooling to build our next-generation architecture.
• Guide and mentor junior team members 

• 8+ years of relevant front-end development experience, previous start up experience is highly desirable.
• Experience building, running, and debugging single-page apps in a modern JavaScript framework.
• Demonstrated knowledge of React, Redux and CSSAbility to work independently as well as cross-functionally with other engineering teams and product.
• Tech Lead / Management experience.

• Experience with full-stack development.
• Experience with building APIs using spring boot.
• Experience with front-end test frameworks (Jasmine/Mocha/Jest)
• Exposure to mobile platforms

• Grow business month on month - Identify and map prospective clients, forecasting revenue monthly/quarterly and negotiating the terms of agreement.
• Focus on growing new relationships with key partners, negotiate contracts and pursue ways to secure long-term relationships.
• Primary responsibility will be to understand client requirements & on-board quality Affiliates / Publishers / Ad networks to deliver required quality & numbers through research, referrals, networking, cold calling, data feeds and emails.
• Media buying (both mobile and PC web traffic of CPA, CPC, CPL, CPI, CPS, CPT, CPR, CPV, CPA traffic.
• Close coordination with BD & Client Servicing Team.
• Negotiate and manage commission structures for affiliates
• Thorough knowledge of attribution platforms Appsflyer, Branch, Singular, Adjust, Kochava etc.
• Troubleshooting tracking issues at publisher end. Ensure timely resolution of publisher queries through proper escalation.
• Develop business strategies to improve affiliate program.
• Maintain open communication with all affiliates on the day-to-day issues. Communicate with new and existing affiliates regarding upcoming promotions and optimization opportunities.
• Allocate targets to affiliates and ensure that targets for the respective campaigns are met within specified timelines.
• Stay current with trends in affiliate marketing and identify new opportunities.
• Interacting with advertisers along with the demand team to understand campaign performance & to further optimize campaigns.

• 3-6 years professional experience in Affiliate Marketing.
• Working knowledge of HasOffers, Affise, Trackier, and other Tracking Platforms.
• Bachelors or above from an accredited university or college
• Candidates should have very good connection with Affiliates / Publishers / Ad networks. 
• Core Affiliate Industry/Performance Marketing Experience.
• Strong data analytical skills.
• Team management skills as well as ability to work independently.
• Thorough understanding of the types of fraud in Web or Mobile.
• Must have existing relationship with wide array of Affiliates / Publishers / Ad Networks.
• Strong understanding of attribution mechanisms, cookies, pixels, tracking platforms & MMPs

      Other Benefits:

•  Insurance - Medical Insurance Coverage of 3,00,000 for individual, spouse and kids. *Option of including parents and higher coverage amount of 5,00,000 
• Professional Development - Reimbursement towards relevant courses that can help you grow your career and build your knowledge level. 
• Food - Lunch, Tea and Snacks. All you can eat! 
• Work Culture- Flexible Result Oriented Work Environment 
• Dress - We aren’t buttoned down. Wear anything you’re comfortable in. Wear any comfortable dress you like to the office – and be as comfortable at work 
• Foosball - Whether you want to pick up the game or master your skills, you’ll find plenty of people to play with 
• TGIF - We’ll find something to do at the end of each week. 
• Work hard, party harder!