venanalytics
https://venanalytics.ioAbout
Ven Analytics – Derived from the Sanskrit word वेण् meaning “to know”. We are a media focused Analytics company and we build applications and dashboards beyond imagination. Our services and products are laser focused to solve Analytics problems FOR Broadcasters, Agencies and Advertisers.
Agile Startup
Our agility helps us percolate through the hierarchy and rapidly deploy solutions for bottommost contributor
Best of Both
A through understanding of business and technology sets us apart from our competitors
Young and Vibrant
Being a young organization we are eager to take up new challenges and make sure we custom deliver them as requested
VISION
Our vision is to become the destination AdTech company for the entire M&E sector
MISSION
We are on a perpetual mission to solve big problems and deliver exponential value to our clients
Candid answers by the company
An analytics company with a mission to change the “gut-feel” way of business to a more data-driven ideology by helping organizations realize the potential of data. We help organizations harness their data and deliver action-oriented insights using smart dashboards and machine intelligence.
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Jobs at venanalytics
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PythonAbout 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 environment.
- Exposure to Big Data technologies such as:
- PySpark (must have)
- 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.
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