Huge Openings For Production,Quality,Maintenance Engineering

Job Description: Data Analyst

About the Role

We are seeking a highly skilled Data Analyst with strong expertise in SQL/PostgreSQL, Python (Pandas), Data Visualization, and Business Intelligence tools to join our team. The candidate will be responsible for analyzing large-scale datasets, identifying trends, generating actionable insights, and supporting business decisions across marketing, sales, operations, and customer experience..

Key Responsibilities

• Data Extraction & Management
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• Write complex SQL queries in PostgreSQL to extract, clean, and transform large datasets.
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• Ensure accuracy, reliability, and consistency of data across different platforms.
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• Data Analysis & Insights
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• Conduct deep-dive analyses to understand customer behavior, funnel drop-offs, product performance, campaign effectiveness, and sales trends.
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• Perform cohort, LTV (lifetime value), retention, and churn analysis to identify opportunities for growth.
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• Provide recommendations to improve conversion rates, average order value (AOV), and repeat purchase rates.
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• Business Intelligence & Visualization
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• Build and maintain interactive dashboards and reports using BI tools (e.g., PowerBI, Metabase or Looker).
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• Create visualizations that simplify complex datasets for stakeholders and management.
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• Python (Pandas)
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• Use Python (Pandas, NumPy) for advanced analytics.
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• Collaboration & Stakeholder Management
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• Work closely with product, operations, and leadership teams to provide insights that drive decision-making.
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• Communicate findings in a clear, concise, and actionable manner to both technical and non-technical stakeholders.
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Required Skills

• SQL/PostgreSQL
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• Complex joins, window functions, CTEs, aggregations, query optimization.
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• Python (Pandas & Analytics)
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• Data wrangling, cleaning, transformations, exploratory data analysis (EDA).
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• Libraries: Pandas, NumPy, Matplotlib, Seaborn
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• Data Visualization & BI Tools
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• Expertise in creating dashboards and reports using Metabase or Looker.
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• Ability to translate raw data into meaningful visual insights.
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• Business Intelligence
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• Strong analytical reasoning to connect data insights with e-commerce KPIs.
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• Experience in funnel analysis, customer journey mapping, and retention analysis.
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• Analytics & E-commerce Knowledge
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• Understanding of metrics like CAC, ROAS, LTV, churn, contribution margin.
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• General Skills
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• Strong communication and presentation skills.
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• Ability to work cross-functionally in fast-paced environments.
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• Problem-solving mindset with attention to detail.

Education: Bachelor’s degree in Data Science, Computer Science, data processing

• Minimum of 2 years of hands-on experience in .NET development, using C#, ASP.NET, and related technologies.
• Strong knowledge of object-oriented programming concepts and design patterns.
• Proficiency in developing web applications using ASP.NET MVC or ASP.NET Core.
• Experience with front-end technologies such as HTML, CSS, and JavaScript and frameworks like Angular or React.
• Solid understanding of relational databases and SQL, with experience in database design and optimization.
• Familiarity with version control systems (e.g., Git) and agile development methodologies.
• Travel to client office if required.
• Hands on experience in AWS

• Excellent IT skills, especially with design and photo-editing software.
• Using programming skills to build pages and applications.
• Exceptional creativity and innovation.
• Creating posts, pages, and applications to attract customers.
• Producing content to be posted online.
• Professional approach to time, costs and deadlines.

• Participate in planning, implementation of solutions, and transformation programs from legacy system to a cloud-based system
• Work with the team on Analysis, High level and low-level design for solutions using ETL or ELT based solutions and DB services in RDS
• Work closely with the architect and engineers to design systems that effectively reflect business needs, security requirements, and service level requirements
• Own deliverables related to design and implementation
• Own Sprint tasks and drive the team towards the goal while understanding the change and release process defined by the organization.
• Excellent communication skills, particularly those relating to complex findings and presenting them to ensure audience appeal at various levels of the organization
• Ability to integrate research and best practices into problem avoidance and continuous improvement
• Must be able to perform as an effective member in a team-oriented environment, maintain a positive attitude, and achieve desired results while working with minimal supervision

Basic Qualifications:

• Minimum of 5+ years of technical work experience in the implementation of complex, large scale, enterprise-wide projects including analysis, design, core development, and delivery
• Minimum of 3+ years of experience with expertise in Informatica ETL, Informatica Power Center, and Informatica Data Quality
• Experience with Informatica MDM tool is good to have
• Should be able to understand the scope of the work and ask for clarifications
• Should have advanced SQL skills. Including complex PL/SQL coding skills
• Knowledge of Agile is plus
• Well-versed with SOAP, Webservice, and REST API.
• Hand on development using Java would be a plus.

Roles and Responsibilities

• 5 - 8 years of experience in Infrastructure setup on Cloud, Build/Release Engineering, Continuous Integration and Delivery, Configuration/Change Management.
• Good experience with Linux/Unix administration and moderate to significant experience administering relational databases such as PostgreSQL, etc.
• Experience with Docker and related tools (Cassandra, Rancher, Kubernetes etc.)
• Experience of working in Config management tools (Ansible, Chef, Puppet, Terraform etc.) is a plus.
• Experience with cloud technologies like Azure
• Experience with monitoring and alerting (TICK, ELK, Nagios, PagerDuty)
• Experience with distributed systems and related technologies (NSQ, RabbitMQ, SQS, etc.) is a plus
• Experience with scaling data store technologies is a plus (PostgreSQL, Scylla, Redis) is a plus
• Experience with SSH Certificate Authorities and Identity Management (Netflix BLESS) is a plus
• Experience with multi-domain SSL certs and provisioning a plus (Let's Encrypt) is a plus
• Experience with chaos or similar methodologies is a plus

Duties and Responsibilities :

• The AEM Developer will play a vital role in the design, development, testing and deployment of Adobe Experience Management Web and Mobile solutions
• Will work closely with clients, developers, system administrators, project managers, business analysts and end-users to build a state-of-the-art Digital Platform using Adobe's Digital Marketing Product Suite
• Design efficient content models, security models, workflows and templates.
• Develop AEM templates and components leveraging current AEM software releases
• Employ strong coding standards for efficiency, readability, and reuse.
• Review and audit of the existing solution, design and system architecture
• Assist with tasks regarding profiling, troubleshooting of existing solutions
• Create technical documentation
• Integrate external data sources and APIs
• Unit-test code for robustness, including edge cases, usability, and general reliability
• Work on bug fixing and improving application performance
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency

Required Skills :

• AEM 6.3+ experience is ideal
• Experience implementing Adobe AEM or similar web
• Content management system (AEM 6.0 and later required; AEM 6.4 is a plus)
• Design, develop and support AEM components, integrations and applications
• Experience integrating Adobe Analytics or Google Analytics with AEM
• Experience with RESTful and SOAP-based web services
• Experience with most of the modern project management, CI / CD & team collaboration tools - JIRA, Confluence, Jenkins etc.
• Understanding of with Agile (Scrum), project planning, execution, risk management, and resource management
• Good troubleshooting skills
• Fluent oral, written English and a good team player

The Job
The Architect, Machine Learning and Artificial Intelligence including Computer Vision will grow and lead a team of talented Machine Learning (ML), Computer Vision (CV) and Artificial Intelligence (AI) researchers and engineers to develop innovative machine learning algorithms, scalable ML system, and AI applications for Racetrack. This role will be focused on developing and deploying personalization and recommender system, search, experimentation, audience, and content AI solutions to drive user experience and growth.

The Daily

• Develop innovative data science solutions that utilize machine learning and deep learning algorithms, statistical and quantitative modelling approaches to support product, engineering, content, and marketing initiatives.
• Build and lead a world-class team of ML and AI scientists and engineers.
• Be a hands-on leader to mentor the team in latest machine learning and deep learning approaches, and to introduce new technologies and processes. Single headedly manage the MVP and PoCs
• Work with ML engineers to design solution architecture and develop scalable machine learning system to accelerate learning cycle.
• Identify data science opportunities that deliver business value.
• Develop ML/AI/CV roadmap and educate both internal and external stakeholders at all levels to drive implementation and measurement.
• Hands on experience in Image processing for auto industry
• BFSI domain knowledge is a plus
• Provide thought leadership to enable ML/AI applications.
• Manage products priorities and ensure timely delivery.
• Develop and evangelize best practices for scoping, building, validating, deploying, and monitoring ML/AI products.
• Prepare and present ML modelling results and analytical insights that help drive the business to senior leadership.

The Essentials

• 8 + years of work experience in Machine Learning, AI and Data Science with a proven track record to drive innovation and business impacts
• 4 + years of managing a team of data scientists, ML and AI researchers and engineers
• Strong machine learning, deep learning, and statistical modelling expertise, such as causal inference modelling, ensembles, neural networks, reinforcement learning, NLP, and computer vision
• Advanced knowledge of SQL and experience with big data platform (AWS, Snowflake, Spark, Google Cloud etc.)
• Proficiency in machine learning and deep learning languages and platforms (Python, R, TensorFlow, Keras, PyTorch, MXNet etc.)
• Experience in deploying machine learning algorithms and advanced modelling solutions
• Experience in developing advanced analytics and ML infrastructure and system
• Self-starter and self-motivated with the proven ability to deliver results in a fast-paced, high-energy environment
• Strong communication skills and the ability to explain complex analysis and algorithms to non-technical audience
• Works effectively cross functional teams to build trusted partnership
• Working experience in digital media and entertainment industry preferred
• Experience with Agile methodologies preferred