About Loyalytics Loyalytics is a fast-growing Analytics consulting and product organization based out of Bangalore. We work with large retail clients across the globe helping them monetize their data assets through our consulting assignments and product accelerators. We are a young dynamic team of 100+ analytics practitioners working on some of the most cutting-edge tools and technologies. Who We Are Technical team: A team full of data scientists, data engineers and business analysts who work with 1M+ data points every day. Market Size: Massive multi-billion $ global market opportunity. Leadership: Combined experience of 40+ years of experience in the industry. Customers: Word-of-mouth and referral driven marketing to acquire customers like big retail brands in GCC regions like Lulu, GMG, among others (Strong product-market fit). What makes us stand apart: 8 years old bootstrapped and 100+ people company that is still hiring. Role Summary We are seeking a hands-on eCommerce Analytics & Insights Lead to help establish and grow our newly launched eCommerce business. This role requires a data-savvy individual with deep eCommerce knowledge who can help define, build, and monitor performance KPIs, provide actionable insights, and guide the business on data-driven decision making. We are looking for someone who can get into the data, generate insights, help build dashboards, and work closely with cross-functional teams (buying, marketing, ops, tech) to guide the growth of our online channel. Key Responsibilities Define and set up eCommerce KPIs across the customer journey (traffic, conversion, retention, basket size, etc.). Work with marketing, merchandising, operations, and tech teams to establish data tracking and reporting needs. Help Build dashboards and reports to monitor site performance, category performance, and marketing ROI. Identify trends, opportunities, and root causes of underperformance in areas such as: Product availability Pricing & promotions Checkout funnel performance Customer retention Channel acquisition effectiveness Help set up cohort analysis, customer segmentation, and basic funnel analytics. Partner with the eCommerce and data engineering teams to ensure data quality and availability from digital channels. Propose data-driven experiments and quick-win ideas to accelerate growth. Guide and support business teams in understanding and interpreting digital KPIs. Required Skills & Experience 3-5 years of experience in eCommerce analytics, preferably in a grocery retail setup. Strong knowledge of eCommerce KPIs and analytics frameworks (traffic → conversion → repeat → LTV). Proficient with working knowledge tools such as Google Analytics / GA4, Excel, SQL, Power BI or Tableau. Experience working with digital marketing data, CRM data, and product performance data. Ability to translate business questions into data analysis and present clear insights. Familiarity with customer journey mapping, funnel conversion, basket analysis, etc. Comfortable working in fast-paced, ambiguous, and build-from-scratch environments. Strong communication and stakeholder management skills – able to work across functions. Strong in one of the programming languages – SQL/ Pyspark Good To Have Experience with eCommerce platforms (e.g., Shopify, Magento, Salesforce Commerce). Exposure to A/B testing, product recommendation analytics, or personalization logic. Knowledge of Python/R for deeper analysis (optional). Experience in setting up tracking infrastructure (e.g., GTM, event tagging). Location: Bangalore, KA (On-site) Show more Show less
We are seeking a hands-on eCommerce Analytics and Insights Lead to help establish and grow our newly launched eCommerce business. This role requires a data-savvy individual with deep eCommerce knowledge who can help define, build, and monitor performance KPIs, provide actionable insights, and guide the business on data-driven decision making. We are looking for someone who can get into the data, generate insights, help build dashboards, and work closely with cross-functional teams (buying, marketing, ops, tech) to guide the growth of our online channel. Responsibilities Define and set up eCommerce KPIs across the customer journey (traffic, conversion, retention, basket size, etc. ). Work with marketing, merchandising, operations, and tech teams to establish data tracking and reporting needs. Help build dashboards and reports to monitor site performance, category performance, and marketing ROI. Identify trends, opportunities, and root causes of underperformance in areas such as: Product availability, Pricing and promotions, Checkout funnel performance, Customer retention, Channel acquisition effectiveness. Help set up cohort analysis, customer segmentation, and basic funnel analytics. Partner with the eCommerce and data engineering teams to ensure data quality and availability from digital channels. Propose data-driven experiments and quick-win ideas to accelerate growth. Guide and support business teams in understanding and interpreting digital KPIs. Requirements 3-5 years of experience in eCommerce analytics, preferably in a grocery retail setup. Strong knowledge of eCommerce KPIs and analytics frameworks (traffic conversion, repeat LTV). Proficient with working knowledge of tools such as Google Analytics / GA4 Excel, SQL, Power BI, or Tableau. Experience working with digital marketing data, CRM data, and product performance data. Ability to translate business questions into data analysis and present clear insights. Familiarity with customer journey mapping, funnel conversion, basket analysis, etc. Comfortable working in fast-paced, ambiguous, and build-from-scratch environments. Strong communication and stakeholder management skills - able to work across functions. Strong in one of the programming languages - SQL/ Pyspark. Good To Have Experience with eCommerce platforms (e. g., Shopify, Magento, Salesforce Commerce). Exposure to A/B testing, product recommendation analytics, or personalization logic. Knowledge of Python/R for deeper analysis (optional). Experience in setting up tracking infrastructure (e. g., GTM, event tagging). This job was posted by Shone Joseph from Loyalytics AI. Show more Show less
About Loyalytics Loyalytics is a fast-growing Analytics consulting and product organization based out of Bangalore. We work with large retail clients across the globe helping them monetize their data assets through our consulting assignments and product accelerators. We are a young dynamic team of 100+ analytics practitioners working on some of the most cutting-edge tools and technologies. Who We Are Technical team : A team full of data scientists, data engineers and business analysts who work with 1M+ data points every day. Market Size : Massive multi-billion $ global market opportunity. Leadership : Combined experience of 40+ years of experience in the industry. Customers : Word-of-mouth and referral driven marketing to acquire customers like big retail brands in GCC regions like Lulu, GMG, among others (Strong product-market fit). What makes us stand apart : 8 years old bootstrapped and 100+ people company that is still hiring. About The Job We are seeking a talented and experienced Data Scientist to join our team. The ideal candidate will have a strong background in statistics, mathematics, and computer science, along with excellent analytical and problem-solving skills. As a Data Scientist, you will be responsible for collecting, analyzing, and interpreting large datasets to identify actionable insights and drive strategic decision-making across the organization. You will work closely with cross-functional teams to understand business needs, design experiments, develop predictive models, and communicate findings to key stakeholders. Responsibilities 3+ years' experience in data science and consulting (Retail industry preferred) Ability to understand the problem statement and implement data science solutions & techniques independently Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Ability to learn and pick up a new language/tool/ platform quickly. Conceptualize, design, and deliver high quality solutions and insightful analysis. Conduct research and prototyping Data and requirements gathering Collaborate and Coordinate with different functional teams (DE and Product development) to implement models and monitor outcomes. Ability to deliver AI/ML based solutions around host of problems: Hypothesis testing, Z test, T test, ANOVA, Customer Segmentation & Targeting, Propensity Modelling, EDA, etc. Comfortable with working in Agile way of development Development & deployment of solutions that leverage data sciences & advanced analytics to drive incremental value for a retail business (RFM analysis, Mission segmentation, Price Optimization, Promo Optimization, CLTVetc.) Tools/Languages Hands on Experience Required : Python SQL Pyspark Databricks Good To Have Knowledge of any visualization tool Understanding of cloud infra and architecture Experience in Retail domain (ref:hirist.tech) Show more Show less
If you are tired of working on maintaining applications, writing only tests and working on small modules, here is a perfect opportunity for you to play a big role in creating world class technology solutions for large retailers. If you are self driven, like working on challenging problems and new technologies look no further and get in touch. We are looking for a Full stack Developer who loves working on challenging problems and is passionate about learning by working on a product from early stage of development. This role entails working on tech that enables next-gen Customer Experiences in retail outlets. Your primary focus will be the development of applications in MEAN stack from conceptualisation to maintaining it in production. We are a young company solving challenging problems in Retail through technology. We provide end-to-end experience to our developers where the own the modules right from the conceptualising stage to putting and maintaining it on the production. We believe immense learning happens when people with right attitude are given challenging problems to solve. We would love to chat with you if you want to be a part of a team that is shooting to be one of the best development teams in the world. Skills required for this role include NodeJS (Node.js), MongoDB, Angular (2+) and Express.,
The company Loyalytics is a rapidly growing Analytics consulting and product organization headquartered in Bangalore. They specialize in assisting large retail clients worldwide to capitalize on their data assets through consulting projects and product accelerators. With a team of over 100 analytics practitioners, Loyalytics is at the forefront of utilizing cutting-edge tools and technologies in the industry. The technical team at Loyalytics comprises data scientists, data engineers, and business analysts who handle over 1 million data points daily. The company operates in a massive multi-billion dollar global market opportunity and boasts a leadership team with a combined experience of over 40 years. Loyalytics has gained a strong reputation in the market, with word-of-mouth and referral-driven marketing strategies that have attracted prestigious retail brands in the GCC regions like Lulu and GMG. One of the key distinguishing factors of Loyalytics is its 10-year history as a bootstrapped company that continues to expand its workforce, currently employing over 100 individuals. They are now seeking a passionate and detail-oriented BI Consultant Tableau with 1-2 years of experience to join their analytics team. The ideal candidate for this role should have a solid foundation in SQL and hands-on expertise in developing dashboards using Tableau. Responsibilities include designing, developing, and maintaining interactive dashboards and reports, writing efficient SQL queries, collaborating with cross-functional teams, ensuring data accuracy, and optimizing dashboard performance. Strong analytical and problem-solving skills, along with good communication and documentation abilities, are essential for success in this position. Required skills and qualifications for the BI Consultant Tableau role at Loyalytics include 1-2 years of professional experience in BI/Data Analytics roles, proficiency in writing complex SQL queries, hands-on experience with Tableau Desktop, understanding of data modeling concepts and ETL workflows, familiarity with other BI tools like Power BI and Qlik, exposure to Tableau Server or Tableau Cloud, and knowledge of cloud platforms or databases such as AWS, GCP, Azure, Snowflake, or BigQuery. This is an exciting opportunity to join a dynamic and innovative team at Loyalytics and contribute to transforming data into valuable insights for clients in the retail industry.,
If you are tired of working on maintaining applications, writing only tests, and working on small modules, here is a perfect opportunity for you to play a big role in creating world-class technology solutions for large retailers. If you are self-driven, like working on challenging problems and new technologies, look no further and get in touch. We are looking for a Full stack Developer who loves working on challenging problems and is passionate about learning by working on a product from the early stage of development. This role entails working on tech that enables next-gen Customer Experiences in retail outlets. Your primary focus will be the development of applications in MEAN stack from conceptualization to maintaining it in production. We are a young company solving challenging problems in Retail through technology. We provide an end-to-end experience to our developers where they own the modules right from the conceptualizing stage to putting and maintaining it in production. We believe immense learning happens when people with the right attitude are given challenging problems to solve. We would love to chat with you if you want to be a part of a team that is shooting to be one of the best development teams in the world. Skills required for this role include NodeJS (Node.js), MongoDB, Angular (2+), and Express.,
Responsibilities Understand problem statements and independently implement data science solutions and techniques. Collaborate with stakeholders to identify opportunities for leveraging data to drive business solutions. Quickly learn and adapt to new tools, platforms, or programming languages. Conceptualize, design, and deliver high-quality solutions and actionable insights. Conduct data gathering, requirements analysis, and research for solution development. Work closely with cross-functional teams, including Data Engineering and Product Development, to implement models and monitor their outcomes. Develop and deploy AI/ML-based solutions for problems such as: Customer segmentation and targeting Propensity modeling, exploratory data analysis (EDA) RFM analysis, mission segmentation, price optimization, promo optimization, customer lifetime value (CLTV) analysis, and more. Operate in an Agile development environment to ensure timely delivery of solutions. Must-Have Skills Required Skills and Experience Python SQL Power BI Strong problem-solving abilities with a focus on delivering measurable business outcomes. Good understanding of statistical concepts and techniques. Experience in the retail industry or a strong interest in solving retail business challenges. Good-to-Have Skills Familiarity with PySpark and Databricks. Knowledge of cloud infrastructure and architecture. Experience with tools like Click Up or similar project management platforms. Hands-on experience with other data visualization tools.
We’re Hiring: Product Manager to Shape the Future of CRM & AI At our core, we’re an experienced, solid engineering team entering an exciting growth phase. We’re building something transformative: the next generation of CRM powered by AI. As our very first Product Manager, you’ll play a pivotal role in shaping this future. Why Join Us? Engineering Excellence: You’ll be part of a talented, high-performing engineering team known for tackling challenging technical problems head-on. Growth and Learning: Our current growth stage offers unmatched opportunities for professional development and career progression. If you’re hungry to learn, there’s no better place to be. Freedom and Autonomy: Our team thrives on freedom. You’ll have genuine ownership over your role, your projects, and your outcomes. Direct Impact: Work closely with the founding team. Your ideas won’t just be heard; they’ll directly influence our direction and success. Who You Are: You’ve consistently delivered products that customers not only use but truly love. You’re focused, outcome-driven, and have a knack for simplifying complexity. You’re energized by the idea of working closely with technical teams, navigating ambiguity, and rapidly bringing products from vision to reality. Join us to drive meaningful impact, solve genuinely exciting problems, and shape a product that redefines what’s possible with CRM and AI. Apply here(Takes only 10 minutes)— https://loyalytics.vervoe.net/job-page/duplicated-product-manager-1-9/84c9a19e-2424-4c3d-a6de-974aab02fa26 Let’s build something incredible together.
About Loyalytics Loyalytics is a fast-growing Analytics consulting and product organization based out of Bangalore. We work with large retail clients across the globe helping them monetize their data assets through our consulting assignments and product accelerators. We are a young dynamic team of 100+ analytics practitioners working on some of the most cutting-edge tools and technologies. Who We Are Technical team: A team full of data scientists, data engineers and business analysts who work with 1M+ data points every day. Market Size: Massive multi-billion $ global market opportunity. Leadership: Combined experience of 40+ years of experience in the industry. Customers: Word-of-mouth and referral driven marketing to acquire customers like big retail brands in GCC regions like Lulu, GMG, among others (Strong product-market fit). What makes us stand apart: 8 years old bootstrapped and 100+ people company that is still hiring. About The Job We are looking for a Data Analyst who will be working on designing various campaign experiments, reports and Analysis on company data and delivering them to top management and other interested parties. As a Data Analyst, you will be working with business users, collecting their requests, and then generating insights and finding and present then using suitable tools (SQL Power BI, PPT, excel etc.) Responsibilities Using data to drive analytical projects across all complexity levels and to generate key business insights & recommendations to enable decision making Draft daily Revenue, Traffic & other input metric plan/forecast for different customer cohorts for BAU and event days. Monitoring these metrics & doing deep-dive analyses for problem-solving sessions will also be a key part of the role Being the “data backbone” of the various campaigns run by the team – this will involve designing the experiments, creating various target groups and measuring the impact of the various initiatives related to pricing and customer relationship management. The recruit will need to liaison with cross-functional teams during the execution of these campaigns Independently leading critical projects with extensive cross – functional collaboration will be a key area of opportunity and learning Data visualization for easy consumption of insights for org and leadership, defining actionable next steps basis insights Skills Required Strong analytical problem-solving skills with appreciation for Math/Stats and Business. 1-3 years of experience as Data/Business Analyst would be strongly preferred Proficiency in using pyspark/python is mandatory, sequel is a plus. Efficient project and stakeholder management skills. Should have demonstrated the ability to work independently in a highly demanding environment with strict deadlines Strong attention to detail Good communication and presentation skills both written and verbal Tools/Languages: - Must-have SQL – Beginner/Intermediate Level Python – Expert/ intermediate level PySpark – Expert/ intermediate level Power BI – Expert/Intermediate Databricks – Beginner/Intermediate JIRA – Beginner/Intermediateate Work Mode: Work from Office Location:Whitefield , Bangalore
About The Job We are looking for a Data Analyst who will be working on designing various campaign experiments, reports and Analysis on company data and delivering them to top management and other interested parties. As a Data Analyst, you will be working with business users, collecting their requests, and then generating insights and finding and present then using suitable tools (SQL Power BI, PPT, excel Using data to drive analytical projects across all complexity levels and to generate key business insights & recommendations to enable decision making Draft daily Revenue, Traffic & other input metric plan/forecast for different customer cohorts for BAU and event days. Monitoring these metrics & doing deep-dive analyses for problem-solving sessions will also be a key part of the role Being the data backbone of the various campaigns run by the team - this will involve designing the experiments, creating various target groups and measuring the impact of the various initiatives related to pricing and customer relationship management. The recruit will need to liaison with cross-functional teams during the execution of these campaigns Independently leading critical projects with extensive cross - functional collaboration will be a key area of opportunity and learning Data visualization for easy consumption of insights for org and leadership, defining actionable next steps basis insights Skills Required Strong analytical problem-solving skills with appreciation for Math/Stats and Business. 1-3 years of experience as Data/Business Analyst would be strongly preferred Proficiency in using pyspark/python is mandatory, sequel is a plus. Efficient project and stakeholder management skills. Should have demonstrated the ability to work independently in a highly demanding environment with strict deadlines Strong attention to detail Good communication and presentation skills both written and verbal Tools/Languages SQL - Beginner/Intermediate Level Python - Expert/ intermediate level PySpark - Expert/ intermediate level Power BI - Expert/Intermediate Databricks - Beginner/Intermediate JIRA - (ref:hirist.tech)
Education & Experience Bachelors or masters degree in a quantitative field (e.g., Analytics, Statistics, Mathematics, Economics, Engineering) or equivalent industry experience. Analytical Expertise 5+ years in an analytical role with a proven record as a data scientist, or applied ML. Strong knowledge of data matching, record linkage, or entity resolution techniques. Comfortable performing statistical validation of models or rule-based outputs (e.g., sampling strategies, calculating Skills : Proficiency in databases, spreadsheets, and statistical tools, with advanced expertise in SQL, Python, data mining, and BigQuery analytics (Google Cloud). Data Storytelling Ability to synthesize complex data into clear, actionable insights and compelling narratives. Large-Scale Data Handling Experience working with large, multi-dimensional datasets and solving complex analytical : Strong analytical and problem-solving abilities, with the capability to translate findings into actionable recommendations. Industry Knowledge (Preferred) Experience in payments, eCommerce, or financial services is a plus. Experience designing or maintaining rule-based systems (fuzzy matching, regex, lookup tables, etc. Familiarity with MDM tools/platforms or prior experience with master data & Insights (Preferred) : Extensive experience in designing, executing, and analyzing experiments for product and feature launches. Communication & Influence Strong written and verbal communication skills, with the ability to distill complex concepts into clear, persuasive insights (ref:hirist.tech)
About Loyalytics Loyalytics is a fast-growing Analytics consulting and product organization based out of Bangalore. We work with large retail clients across the globe helping them monetize their data assets through our consulting assignments and product accelerators. We are a young dynamic team of 100+ analytics practitioners working on some of the most cutting-edge tools and technologies. Who We Are Technical team: A team full of data scientists, data engineers and business analysts who work with 1M+ data points every day. Market Size: Massive multi-billion $ global market opportunity. Leadership: Combined experience of 40+ years of experience in the industry. Customers: Word-of-mouth and referral driven marketing to acquire customers like big retail brands in GCC regions like Lulu, GMG, among others (Strong product-market fit). What makes us stand apart: 10 years old bootstrapped and 100+ people company that is still hiring. Role Summary We are seeking a hands-on eCommerce Analytics & Insights Lead to help establish and grow our newly launched eCommerce business. This role requires a data-savvy individual with deep eCommerce knowledge who can help define, build, and monitor performance KPIs, provide actionable insights, and guide the business on data-driven decision making. We are looking for someone who can get into the data, generate insights, help build dashboards, and work closely with cross-functional teams (buying, marketing, ops, tech) to guide the growth of our online channel. Key Responsibilities Define and set up eCommerce KPIs across the customer journey (traffic, conversion, retention, basket size, etc.). Work with marketing, merchandising, operations, and tech teams to establish data tracking and reporting needs. Help Build dashboards and reports to monitor site performance, category performance, and marketing ROI. Identify trends, opportunities, and root causes of underperformance in areas such as: Product availability Pricing & promotions Checkout funnel performance Customer retention Channel acquisition effectiveness Help set up cohort analysis, customer segmentation, and basic funnel analytics. Partner with the eCommerce and data engineering teams to ensure data quality and availability from digital channels. Propose data-driven experiments and quick-win ideas to accelerate growth. Guide and support business teams in understanding and interpreting digital KPIs. Required Skills & Experience 2-5 years of experience in eCommerce analytics, preferably in a grocery retail setup. Strong knowledge of eCommerce KPIs and analytics frameworks (traffic → conversion → repeat → LTV). Proficient with working knowledge tools such as Google Analytics / GA4, Excel, SQL, Power BI or Tableau. Experience working with digital marketing data, CRM data, and product performance data. Ability to translate business questions into data analysis and present clear insights. Familiarity with customer journey mapping, funnel conversion, basket analysis, etc. Comfortable working in fast-paced, ambiguous, and build-from-scratch environments. Strong communication and stakeholder management skills – able to work across functions. Strong in one of the programming languages – SQL/ Pyspark Good To Have Experience with eCommerce platforms (e.g., Shopify, Magento, Salesforce Commerce). Exposure to A/B testing, product recommendation analytics, or personalization logic. Knowledge of Python/R for deeper analysis (optional). Experience in setting up tracking infrastructure (e.g., GTM, event tagging). Location: Bangalore, KA (On-site)
About Loyalytics Loyalytics is a fast-growing Analytics consulting and product organization based out of Bangalore. We work with large retail clients across the globe helping them monetize their data assets through our consulting assignments and product accelerators. We are a young dynamic team of 100+ analytics practitioners working on some of the most cutting-edge tools and technologies. Who We Are Technical team : A team full of data scientists, data engineers and business analysts who work with 1M+ data points every day. Market Size : Massive multi-billion $ global market opportunity. Leadership : Combined experience of 40+ years of experience in the industry. Customers : Word-of-mouth and referral driven marketing to acquire customers like big retail brands in GCC regions like Lulu, GMG, among others (Strong product-market fit). What makes us stand apart : 10 years old bootstrapped and 100+ people company that is still hiring. Role Summary We are seeking a hands-on eCommerce Analytics & Insights Lead to help establish and grow our newly launched eCommerce business. This role requires a data-savvy individual with deep eCommerce knowledge who can help define, build, and monitor performance KPIs, provide actionable insights, and guide the business on data-driven decision making. We are looking for someone who can get into the data, generate insights, help build dashboards, and work closely with cross-functional teams (buying, marketing, ops, tech) to guide the growth of our online channel. Key Responsibilities - Help set up cohort analysis, customer segmentation, and basic funnel analytics. Define and set up eCommerce KPIs across the customer journey (traffic, conversion, retention, basket size, etc. Work with marketing, merchandising, operations, and tech teams to establish data tracking and reporting needs. Help Build dashboards and reports to monitor site performance, category performance, and marketing ROI. Identify trends, opportunities, and root causes of underperformance in areas such as : Product availability. Pricing & promotions. Checkout funnel performance. Customer retention. Channel acquisition effectiveness. Partner with the eCommerce and data engineering teams to ensure data quality and availability from digital channels. Propose data-driven experiments and quick-win ideas to accelerate growth. Guide and support business teams in understanding and interpreting digital KPIs. Required Skills & Experience 2-5 years of experience in eCommerce analytics, preferably in a grocery retail setup. Strong knowledge of eCommerce KPIs and analytics frameworks (traffic, conversion, repeat, LTV). Proficient with working knowledge tools such as Google Analytics / GA4, Excel, SQL, Power BI or Tableau. Experience working with digital marketing data, CRM data, and product performance data. Ability to translate business questions into data analysis and present clear insights. Familiarity with customer journey mapping, funnel conversion, basket analysis, etc. Comfortable working in fast-paced, ambiguous, and build-from-scratch environments. Strong communication and stakeholder management skills able to work across functions. Strong in one of the programming languages SQL/ Pyspark. Good To Have Experience with eCommerce platforms (e.g., Shopify, Magento, Salesforce Commerce). Exposure to A/B testing, product recommendation analytics, or personalization logic. Knowledge of Python/R for deeper analysis (optional). Experience in setting up tracking infrastructure (e.g., GTM, event tagging). Location : Bangalore, KA (On-site). (ref:hirist.tech)
e're looking for a hands-on Site Reliability / DevOps Engineer to be our first hire in this function, responsible for owning and scaling the reliability, observability, and infrastructure of our platform running entirely on Microsoft Azure. You'll be critical in shaping DevOps culture, architecting fault-tolerant systems, and deploying automation to improve uptime, performance, and cost efficiency. This is a hybrid role combining SRE and DevOps principles - ideal for builders comfortable working in fast-paced, product-driven environments. What You'll Own Cloud Infrastructure (Microsoft Azure Must Have) : Architect, deploy, and maintain services across Azure App Services, Azure Container Apps, Cosmos DB, Event Hubs, Azure Monitor, Azure VMs, and Azure Kubernetes Service (AKS). Design and manage networking (VNets, Subnets, NSGs) and identity/access controls (PIM, Managed Identities, Enterprise Applications, Role-based Access Control). Own infrastructure provisioning using Terraform / Bicep. Implement cost-effective, scalable, and secure cloud environments across development, staging, and production. Monitoring, Observability & Incident Response Set up end-to-end observability using Prometheus, Grafana, Azure Monitor, ELK Stack, and Sentry. Define and enforce standards for logging, metrics, traces, SLIs/SLOs, and error budgets. Build proactive alerting systems for APIs, RabbitMQ, Databricks pipelines, and external integrations. Establish on-call rotations, incident response runbooks, and lead RCAs to minimize MTTR. CI/CD, Automation & Tooling Automate deployments and infrastructure lifecycle using GitHub Actions, Terraform modules, and CLI tools. Improve CI/CD for faster, safer releases across containerized and VM-based workloads. Build internal tools for diagnostics, rollback safety, and release automation. Integrate resilience patterns : retries, circuit breakers, backoff strategies, failovers. DevOps & System Reliability Optimize system performance, memory usage, and availability for core services like RabbitMQ, APIs, analytics pipelines on Databricks. Implement zero-downtime deployments, self-healing systems, and infrastructure audits. Perform regular cost analysis, right-sizing, and tag-based budget enforcement. Security & Compliance Collaboration Work with security teams to maintain infrastructure and data flow diagrams, support ISO 27001, GDPR, PDPA readiness. Participate in threat modeling, define trust boundaries, and implement audit-ready infrastructure practices. Tech Stack You'll Work With Cloud : Microsoft Azure (App Services, Container Apps, AKS, Cosmos DB, Event Hubs, Monitor, VMs). IaC : Terraform, Bicep. CI/CD : Azure Devops,GitHub Actions. Monitoring & Logs : Prometheus, Grafana, Azure Monitor, ELK, Sentry. Queueing : RabbitMQ, Kafka. Languages : Node.js, Python (mostly for debugging (ref:hirist.tech)
About Loyalytics Loyalytics is a fast-growing Analytics consulting and product organization based out of Bangalore. We work with large retail clients across the globe helping them monetize their data assets through our consulting assignments and product accelerators. We are a young dynamic team of 100+ analytics practitioners working on some of the most cutting-edge tools and technologies. Who We Are Technical team: A team full of data scientists, data engineers and business analysts who work with 1M+ data points every day. Market Size: Massive multi-billion $ global market opportunity. Leadership: Combined experience of 40+ years of experience in the industry. Customers: Word-of-mouth and referral driven marketing to acquire customers like big retail brands in GCC regions like Lulu, GMG, among others (Strong product-market fit). What makes us stand apart: 10 years old bootstrapped and 100+ people company that is still hiring. Role Summary: As a Marketing Manager, you will be at the forefront of shaping and elevating the Loyalytics brand. From strategizing to amplifying, you'll play a pivotal role in amplifying our reach and impact. We're looking for efficient folks who are willing to act as a bridge between the brand and our audiences > governing, curating, and monitoring every single communication that goes from and comes to Loyalytics! Key Responsibilities Oversee multi-channel campaigns, including content marketing, email nurturing, paid advertising, webinars, and SEO, to build brand awareness and fill the sales funnel. Oversee the creation of compelling content across multiple channels, including digital, social media, email, and traditional media. Analyze market trends, competitor activities, and customer insights to identify opportunities for growth and innovation. Manage marketing budgets, ensuring efficient allocation of resources and maximizing ROI on campaigns. Collaborate with sales, product, and design teams to align marketing efforts with overall business goals. Monitor and report on the performance of marketing campaigns, using data and analytics to optimize strategies and inform decision-making. Stay up to date with industry trends and emerging technologies to keep our marketing efforts cutting-edge. Represent the company at industry events, conferences, and networking opportunities to build brand presence. Requirements At least 5 years of experience in marketing, with a minimum of 3 years in a SaaS companies. Excellent written and verbal communication skills with a keen eye for detail. Proactive and result-driven approach with the ability to multitask and thrive in a fast-paced environment. Strong interpersonal skills and the ability to build and maintain relationships with external & internal stakeholders. Prior experience in Middle East and SEA markets would be bonus. Proven track record of developing and executing successful marketing campaigns that drive business results. Strong understanding of content marketing. Experience with marketing analytics tools (e.g., Google Analytics, HubSpot, or similar platforms) to track performance and derive actionable insights. Creative problem-solver with a strategic mindset and attention to detail. Passion for staying ahead of marketing trends and adopting innovative approaches. Benefits Be a part of the dynamic and fun team, impacting the retail tech industry with clients like Lulu, Aster, Mitra10, TVS, etc. Flexible Work Hours. Wellness & Family Benefits. Access to various learning platforms. Quick Notes It's a remote role Target Market: Middle East & South East Asia
As a BI Consultant Tableau with 12 years of experience, your role overview will include designing, developing, and maintaining interactive dashboards and reports using Tableau. You will collaborate with cross-functional teams to understand business requirements and translate them into BI solutions. Your responsibilities will also involve writing efficient SQL queries, assisting in data validation and testing, optimizing dashboards for performance, and documenting solutions and business logic for future reference. Your key responsibilities will include: - Designing, developing, and maintaining interactive dashboards and reports using Tableau - Writing efficient SQL queries to extract, clean, and manipulate data - Collaborating with cross-functional teams to understand and translate business requirements into BI solutions - Assisting in data validation, testing, and ensuring report accuracy and quality - Optimizing dashboards for performance and usability - Documenting solutions, data models, and business logic for future reference Qualifications required for this role: - 12 years of professional experience in BI/Data Analytics roles - Proficiency in writing complex SQL queries (joins, aggregations, CTEs, etc.) - Hands-on experience with Tableau Desktop for dashboard creation and visualization - Understanding of data modeling concepts and ETL workflows - Strong analytical and problem-solving skills - Good communication and documentation skills - Exposure to Tableau Server or Tableau Cloud - Experience with other BI tools (e.g., Power BI, Qlik) - Familiarity with cloud platforms (e.g., AWS, GCP, Azure) or databases like Snowflake/BigQuery Please note that the above details are based on the provided job description and may vary as per the company's requirements.,
You will be working as a Data Analyst, focusing on designing various campaign experiments, reports, and analyses on company data. Your primary responsibility will be to deliver these insights to top management and other stakeholders. You will collaborate with business users to gather their requirements, analyze the data, and present the findings using tools like SQL, Power BI, PowerPoint, and Excel. Key Responsibilities: - Utilize data to drive analytical projects of varying complexities, providing key business insights and recommendations for decision-making. - Develop daily revenue, traffic, and other input metric plans/forecasts for different customer cohorts for regular business operations and special event days. - Monitor these metrics and conduct in-depth analyses to identify and solve problems effectively. - Act as the "data backbone" of the team's campaigns by designing experiments, creating target groups, and evaluating the impact of pricing and customer relationship management initiatives. - Collaborate with cross-functional teams during campaign execution. - Lead critical projects independently, involving extensive cross-functional collaboration. - Create data visualizations to facilitate easy understanding of insights for the organization and leadership, and define actionable next steps based on the insights. Qualifications Required: - Strong analytical problem-solving skills with a solid understanding of Mathematics and Business. - 3-4 years of experience as a Data/Business Analyst is highly preferred. - Proficiency in SQL and Excel is mandatory. - Effective project and stakeholder management skills. - Ability to work independently in a fast-paced environment with tight deadlines. - Excellent attention to detail. - Strong written and verbal communication and presentation skills. - Experience in Campaign Analytics is a must-have. Additional Details: Hands-On Experience Required Tools/Languages: Must-have: - SQL: Expert Level - Advanced Excel: Expert - Python: Beginner Level - Power BI: Expert/Intermediate - PowerPoint: Intermediate - Databricks: Beginner/Intermediate - JIRA: Beginner/Intermediate Good To Have: - Pyspark - Experience in Retail (Note: Company details were not provided in the job description),
About Loyalytics Loyalytics is a fast-growing Analytics consulting and product organization based out of Bangalore. We work with large retail clients across the globe helping them monetize their data assets through our consulting assignments and product accelerators. We Are a Young Dynamic Team Of 100+ Analytics Practitioners Working On Some Of The Most Cutting-edge Tools And We Are Technical team : A team full of data scientists, data engineers and business analysts who work with 1M+ data points every day. Market Size : Massive multi-billion $ global market opportunity. Leadership : Combined experience of 40+ years of experience in the industry. Customers : Word-of-mouth and referral driven marketing to acquire customers like big retail brands in GCC regions like Lulu, GMG, among others (Strong product-market fit). What makes us stand apart : 8 years old bootstrapped and 100+ people company that is still The Job : We're looking for a hands-on Site Reliability / DevOps Engineer to be our first hire in this function, responsible for owning and scaling the reliability, observability, and infrastructure of our platform running entirely on Microsoft Azure. You'll be critical in shaping DevOps culture, architecting fault-tolerant systems, and deploying automation to improve uptime, performance, and cost efficiency. Cloud Infrastructure (Microsoft Azure Must Have) This is a hybrid role combining SRE and DevOps principles - ideal for builders comfortable working in fast-paced, product-driven You'll Own : Architect, deploy, and maintain services across Azure App Services, Azure Container Apps, Cosmos DB, Event Hubs, Azure Monitor, Azure VMs, and Azure Kubernetes Service (AKS). Design and manage networking (VNets, Subnets, NSGs) and identity/access controls (PIM, Managed Identities, Enterprise Applications, Role-based Access Control). Own infrastructure provisioning using Terraform / Bicep. Implement cost-effective, scalable, and secure cloud environments across development, staging, and production. Monitoring, Observability & Incident Response Set up end-to-end observability using Prometheus, Grafana, Azure Monitor, ELK Stack, and Sentry. Define and enforce standards for logging, metrics, traces, SLIs/SLOs, and error budgets. Build proactive alerting systems for APIs, RabbitMQ, Databricks pipelines, and external integrations. Establish on-call rotations, incident response runbooks, and lead RCAs to minimize MTTR. CI/CD, Automation & Tooling Automate deployments and infrastructure lifecycle using GitHub Actions, Terraform modules, and CLI tools. Improve CI/CD for faster, safer releases across containerized and VM-based workloads. Build internal tools for diagnostics, rollback safety, and release automation. Integrate resilience patterns : retries, circuit breakers, backoff strategies, failovers. DevOps & System Reliability Optimize system performance, memory usage, and availability for core services like RabbitMQ, APIs, analytics pipelines on Databricks. Implement zero-downtime deployments, self-healing systems, and infrastructure audits. Perform regular cost analysis, right-sizing, and tag-based budget enforcement. Security & Compliance Collaboration Work with security teams to maintain infrastructure and data flow diagrams, support ISO 27001, GDPR, PDPA readiness. Participate in threat modeling, define trust boundaries, and implement audit-ready infrastructure Stack You'll Work With : Cloud : Microsoft Azure (App Services, Container Apps, AKS, Cosmos DB, Event Hubs, Monitor, VMs). IaC : Terraform, Bicep. CI/CD : Azure Devops,GitHub Actions. Monitoring & Logs : Prometheus, Grafana, Azure Monitor, ELK, Sentry. Queueing : RabbitMQ, Kafka. Languages : Node.js, Python (mostly for Culture : The culture of Loyalytics plays the center stage of how we interact, act and respond to people and situations. We are guided by the principles of FACET in our day-to-day interactions and performance. We have a well-defined culture which clearly spells out the acceptable and unacceptable behaviors at Loyalytics. FACERT is a combination of specific values where F Stands For Fulfilling Our Promises We believe in delivering on our commitments within the agreed-upon timeframe. This includes following through on commitments, communicating progress while being flexible to adapt to changes or any unexpected circumstances that may arise and still strive to meet our commitments. A Stand For Actionable Recommendations We believe in creating real impact by providing recommendations that are creative, forward-thinking, or outside-the-box and that have the potential to make a significant positive impact. Providing recommendations that are easy to understand and implement and ensuring follow up and support is our way of ensuring that the recommendations provided are implemented effectively. C Stands For Customer Empathy We are always looking for ways to make our customers experience great and believe in providing the highest quality service possible. We make satisfied customers through our regular interactions, active listening, promptness in response to inquiries and concerns and are flexible to adapt to the customers unique needs and preferences. Our culture encourages the approach to anticipate our customer needs and take the necessary steps to address them before they become issues. We also practice a proactive exercise of checking in on the customer to ensure their needs are met and enquire if there are any additional needs or concerns. Our definition of customer includes our external as well as internal customers, based on our roles and responsibilities. E Stands For Extra Mile The culture at Loyalytics encourages you to take initiative and go above. and beyond what is expected of you. We encourage employees to constantly look for ways to improve their skills, knowledge, and performance. Being adaptable and open to learning helps us through changing circumstances and apply our learning to the work we do. R stands for Respect. We believe that every employee at Loyalytics is equally important and equally respected. We practice respect in our communication, actions, feedback and behaviors, exercise empathy and ensure to understand the other person's point of view and objectively state our point of view. We believe in transparency in our processes and procedures and abide by the principles of professionalism. T Stands For Teamwork We believe in open communication where everyone is encouraged to reach out to anyone within the organization, share information and ideas, and listen actively to the viewpoints of others. Our aim is to reach the organization's goals through effective teamwork, support and collaboration. We have a culture of respect for all regardless of background and experience. If these values resonate, then Loyalytics is the place for you! Come join us and be part of the dynamic team racing towards being recognized as the most preferred retail organization in the world! (ref:hirist.tech)
About The Opportunity We’re looking for a couple of smart, hands-on interns to work directly on building some of the core components of our AI strategy . You’ll collaborate closely with the product lead to design, build, and ship real product features that real customers will use. No dummy tasks, no shadow work — you’ll get to see your code in production and watch users interact with what you built. This is a rare opportunity to gain end-to-end exposure to how real-world AI systems are designed, developed, and deployed. What You’ll Work On Building and experimenting with Collaborative AI solutions Developing AI-driven features that integrate into our live product Contributing to model design, prompt engineering, and product integration workflows Collaborating with cross-functional teams (engineering, design, product) Learning how to balance AI innovation with practical business outcomes What We’re Looking For Strong curiosity and passion for AI and product building Experience with at least one AI/ML project (academic, personal, or professional) Familiarity with Python , LLMs . Good understanding of how AI can be applied to solve real business problems Ability to take ownership and work independently Duration & Outcome Duration: 3 months Outcome: A chance to work on impactful, real-world AI projects, gain hands-on product experience, and potentially transition into a full-time role based on performance.
About The Opportunity We're looking for a couple of smart, hands-on interns to work directly on building some of the core components of our AI strategy . You'll collaborate closely with the product lead to design, build, and ship real product features that real customers will use. No dummy tasks, no shadow work you'll get to see your code in production and watch users interact with what you built. This is a rare opportunity to gain end-to-end exposure to how real-world AI systems are designed, developed, and deployed. What You'll Work On Building and experimenting with Collaborative AI solutions Developing AI-driven features that integrate into our live product Contributing to model design, prompt engineering, and product integration workflows Collaborating with cross-functional teams (engineering, design, product) Learning how to balance AI innovation with practical business outcomes What We're Looking For Strong curiosity and passion for AI and product building Experience with at least one AI/ML project (academic, personal, or professional) Familiarity with Python , LLMs . Good understanding of how AI can be applied to solve real business problems Ability to take ownership and work independently Duration & Outcome Duration: 3 months Outcome: A chance to work on impactful, real-world AI projects, gain hands-on product experience, and potentially transition into a full-time role based on performance.