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.,