venanalytics

About the Role:

We are looking for a highly skilled Data Engineer with a strong foundation in Power BI, SQL, Python, and Big Data ecosystems to help design, build, and optimize end-to-end data solutions. The ideal candidate is passionate about solving complex data problems, transforming raw data into actionable insights, and contributing to data-driven decision-making across the organization.

Key Responsibilities:

Data Modelling & Visualization

• Build scalable and high-quality data models in Power BI using best practices.
• Define relationships, hierarchies, and measures to support effective storytelling.
• Ensure dashboards meet standards in accuracy, visualization principles, and timelines.

Data Transformation & ETL

• Perform advanced data transformation using Power Query (M Language) beyond UI-based steps.
• Design and optimize ETL pipelines using SQL, Python, and Big Data tools.
• Manage and process large-scale datasets from various sources and formats.

Business Problem Translation

• Collaborate with cross-functional teams to translate complex business problems into scalable, data-centric solutions.
• Decompose business questions into testable hypotheses and identify relevant datasets for validation.

Performance & Troubleshooting

• Continuously optimize performance of dashboards and pipelines for latency, reliability, and scalability.
• Troubleshoot and resolve issues related to data access, quality, security, and latency, adhering to SLAs.

Analytical Storytelling

• Apply analytical thinking to design insightful dashboards—prioritizing clarity and usability over aesthetics.
• Develop data narratives that drive business impact.

Solution Design

• Deliver wireframes, POCs, and final solutions aligned with business requirements and technical feasibility.

Required Skills & Experience:

• Minimum 3+ years of experience as a Data Engineer or in a similar data-focused role.
• Strong expertise in Power BI: data modeling, DAX, Power Query (M Language), and visualization best practices.
• Hands-on with Python and SQL for data analysis, automation, and backend data transformation.
• Deep understanding of data storytelling, visual best practices, and dashboard performance tuning.
• Familiarity with DAX Studio and Tabular Editor.
• Experience in handling high-volume data in production environments.

Preferred (Good to Have):

• Exposure to Big Data technologies such as:
• PySpark
• Hadoop
• Hive / HDFS
• Spark Streaming (optional but preferred)

Why Join Us?

• Work with a team that's passionate about data innovation.
• Exposure to modern data stack and tools.
• Flat structure and collaborative culture.
• Opportunity to influence data strategy and architecture decisions.

About Ven Analytics

At Ven Analytics, we don’t just crunch numbers — we decode them to uncover insights that drive real business impact. We’re a data-driven analytics company that partners with high-growth startups and enterprises to build powerful data products, business intelligence systems, and scalable reporting solutions. With a focus on innovation, collaboration, and continuous learning, we empower our teams to solve real-world business problems using the power of data.

Role Overview

We’re looking for a Power BI Data Analyst who is not just proficient in tools but passionate about building insightful, scalable, and high-performing dashboards. The ideal candidate should have strong fundamentals in data modeling, a flair for storytelling through data, and the technical skills to implement robust data solutions using Power BI, Python, and SQL..

Key Responsibilities

• Technical Expertise: Develop scalable, accurate, and maintainable data models using Power BI, with a clear understanding of Data Modeling, DAX, Power Query, and visualization principles.

• Programming Proficiency: Use SQL and Python for complex data manipulation, automation, and analysis.

• Business Problem Translation: Collaborate with stakeholders to convert business problems into structured data-centric solutions considering performance, scalability, and commercial goals.

• Hypothesis Development: Break down complex use-cases into testable hypotheses and define relevant datasets required for evaluation.

• Solution Design: Create wireframes, proof-of-concepts (POC), and final dashboards in line with business requirements.

• Dashboard Quality: Ensure dashboards meet high standards of data accuracy, visual clarity, performance, and support SLAs.

• Performance Optimization: Continuously enhance user experience by improving performance, maintainability, and scalability of Power BI solutions.

• Troubleshooting & Support: Quick resolution of access, latency, and data issues as per defined SLAs.

• Power BI Development: Use power BI desktop for report building and service for distribution 

• Backend development: Develop optimized SQL queries that are easy to consume, maintain and debug.

• Version Control: Strict control on versions by tracking CRs and Bugfixes. Ensuring the maintenance of Prod and Dev dashboards. 

• Client Servicing : Engage with clients to understand their data needs, gather requirements, present insights, and ensure timely, clear communication throughout project cycles.

• Team Management : Lead and mentor a small team by assigning tasks, reviewing work quality, guiding technical problem-solving, and ensuring timely delivery of dashboards and reports..

Must-Have Skills

• Strong experience building robust data models in Power BI
• Hands-on expertise with DAX (complex measures and calculated columns)
• Proficiency in M Language (Power Query) beyond drag-and-drop UI
• Clear understanding of data visualization best practices (less fluff, more insight)
• Solid grasp of SQL and Python for data processing
• Strong analytical thinking and ability to craft compelling data stories
• Client Servicing Background.

Good-to-Have (Bonus Points)

• Experience using DAX Studio and Tabular Editor
• Prior work in a high-volume data processing production environment
• Exposure to modern CI/CD practices or version control with BI tools

Why Join Ven Analytics?

• Be part of a fast-growing startup that puts data at the heart of every decision.
• Opportunity to work on high-impact, real-world business challenges.
• Collaborative, transparent, and learning-oriented work environment.
• Flexible work culture and focus on career development.

Job Summary:

We are seeking a highly skilled QA Automation Engineer with 4+ years of proven experience in software testing and test automation. The ideal candidate will have strong expertise in leading the Software Testing Life Cycle (STLC) across multiple projects, functional testing of web and backend systems, and hands-on experience with API automation. This role requires someone who can build robust test strategies, design automation frameworks, and collaborate with cross-functional teams to ensure product quality at scale.

Key Responsibilities:

• Lead and manage the complete STLC (planning, test case design, execution, defect management, and closure) across concurrent projects.

• Design, develop, and maintain automated test scripts for web applications, APIs, and backend systems.

• Perform functional, regression, smoke, and system integration testing, ensuring full coverage and efficient execution.

• Conduct API testing using tools like Postman, RestAssured, or similar, validating request/response structures, data integrity, performance, and security.

• Collaborate closely with developers, product managers, and stakeholders to identify gaps, track defects, and enhance test coverage.

• Integrate automated test suites with CI/CD pipelines to enable continuous testing and faster releases.

• Execute performance, load, and stress testing to validate system scalability and reliability.

• Document detailed test plans, strategies, and reports, ensuring clear communication of testing progress and quality metrics.

• Continuously improve test automation frameworks, strategies, and best practices.

Required Skills & Qualifications:

• Minimum 3 years of experience in QA automation and software testing.
• Strong experience managing and executing STLC in multi-project environments.
• Hands-on experience with functional testing (web, mobile, backend) and solid test case design skills.
• Proficiency in automation tools such as Selenium, TestNG, JUnit, or equivalent.
• Expertise in API testing using Postman, RestAssured, or similar frameworks.
• Experience working with CI/CD tools like Jenkins, GitLab CI/CD, or similar.
• Strong knowledge of scripting/programming languages (Python, Java, or JavaScript).
• Good understanding of Agile methodologies (Scrum, Kanban) with hands-on exposure.
• Solid problem-solving, debugging, and analytical skills.
• Excellent communication and collaboration abilities.

Nice to Have:

• Experience with cloud-based test environments or Docker/Kubernetes.
• Exposure to performance and load testing tools such as JMeter or Gatling.
• Familiarity with security testing practices.

Why Join Us?

• Opportunity to own the QA function and contribute to building scalable testing systems.
• Work in a fast-paced, tech-driven team with real impact on product quality.
• 5-day work week, flexible working hours, and a collaborative culture.
• Health benefits and support for professional learning & upskilling.

Role Objective-

At Ven Analytics, we’re redefining how media teams plan, execute, and optimize advertising performance. As a fast-growing Ad Tech company, we blend data, creativity, and technology to simplify the complex world of digital media buying and analytics. 

We’re looking for a UX Designer who can translate complex data workflows into visually intuitive and user-friendly web experiences. If you’re passionate about creating design systems that speak both logic and imagination — we’d love to meet you. 

Roles & Responsibilities-

• Design & Implementation (React): Create visually engaging, responsive, and user-friendly web interfaces using React.js along with frameworks like Material UI, Ant Design, or Tailwind CSS. Design and prototype web pages using Figma, and collaborate closely with engineers to ensure design precision, scalability, and performance optimization.

• End-to-End UX Ownership: Manage the complete UX process — from concept and wireframing to front-end design delivery — ensuring seamless, user-centric experiences across all product modules. 

• Cross-Functional Collaboration: Collaborate with Product Managers, Developers, and Data Analysts to convert business goals and insights into clear, functional, and impactful design solutions. 

• Wireframing & Prototyping: Develop high-fidelity wireframes, mockups, and prototypes using Figma, Adobe XD, or Sketch, translating them into production ready React components. 

• User Research & Testing: Conduct research and usability testing to validate design decisions, enhance navigation, and refine interaction flows based on user behavior.

• Design System Management: Build and maintain a scalable React-based design system, ensuring consistency, reusability, and visual harmony across applications. 

• Data Visualization:  Collaborate with developers to craft intuitive dashboards and visualizations using tools like Recharts, Chart.js, or D3.js, simplifying complex ad metrics. 

• Performance & Accessibility:  Ensure all UI designs adhere to accessibility, responsiveness, and performance best practices, delivering inclusive and optimized user experiences. 

• Continuous Improvement: Stay ahead of design and front-end trends, contributing ideas and innovations that elevate the overall UX and product quality. 

Requirements-

• Strong hands-on experience with React.js, including component-based architecture, state management, and responsive UI implementation. 
• Proficiency in Figma, Adobe XD, or Sketch for prototyping. 
• Familiarity with Material UI, Tailwind, or other modern React UI libraries. 
• Solid understanding of user-centered design, information architecture, and interaction design principles. 
• Strong eye for visual hierarchy, typography, and micro-interactions. 
• Proficient in Web designing Figma is required.

Why Join Ven Analytics?

• Be part of a fast-growing startup that puts data at the heart of every decision.
• Opportunity to work on high-impact, real-world business challenges.
• Collaborative, transparent, and learning-oriented work environment.
• Flexible work culture with a strong focus on career development.
• Comprehensive health benefits to support your well-being.
• Team offsites and engagement activities to build stronger connections beyond work.
• Performance-based incentives and rewards recognizing your contribution and impact.