Valtech is hiring for the position of Business Intelligence Analyst / Data Engineer in Bangalore, India. Candidates with Bachelor’s/ Master’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
Company Name | Valtech |
Position | Business Intelligence Analyst / Data Engineer |
Qualification | Bachelor’s/ Master’s Degree |
Batch | Recent Batches |
Experience | Freshers/ Experienced |
Location | Bangalore, India |
Key Responsibilities:
- Analyze raw data sets to deliver impactful insights for large enterprise clients, ensuring scientific rigor and accuracy.
- Develop data pipelines and products to support stakeholders in making and executing data-driven decisions.
- Present analytical findings in an intuitive, visually compelling manner.
- Create interactive dashboards using Tableau, PowerBI, or custom web applications to enhance data visualization.
- Perform deep-dive analyses and design KPIs to guide business decisions and assess success metrics.
- Engineer data infrastructure, software libraries, and APIs to support BI and ML data pipelines.
- Design and architect cloud data platform components to enable data solutions.
- Build and manage project timelines, dependencies, and risks for successful project delivery.
- Gather stakeholder requirements and conduct technical due diligence to design practical, data-driven business solutions.
Eligibility Criteria:
- Proven experience in executing data engineering, analytics, or data science projects, or a Bachelor’s/Master’s degree in a quantitative field such as Engineering, Mathematics, Statistics, Computer Science, or computation-intensive Sciences and Humanities.
- Proficient in executing end-to-end data workflows using programming languages such as SQL, Python, and R.
Preferred Skills:
- Skilled in using visualization/reporting tools like Tableau and PowerBI, or programmatic visualization libraries such as R ggplot2, Python’s matplotlib/seaborn/bokeh, and Javascript’s D3.
- Proficiency in big data tools and environments, including Spark, Hive, Impala, and Pig.
- Familiarity with cloud architecture components on platforms such as AWS, Azure, and Google Cloud.
- Experienced with data pipeline software, including tools like Airflow, Luigi, or Prefect.
- Ability to translate raw data and complex business questions into actionable insights and recommendations.
- Experience with statistical and machine learning libraries and applying them effectively to solve business problems.
- Proven ability to lead and manage technical data, analytics, and machine learning projects.
About Company:
We are the experience innovation company. In a digitally accelerated world, where ‘the best’ race toward ‘best practices’, we help brands break through and leap beyond the competition. At the intersection of crafts, categories and cultures, our global teams unlock value by leveraging the power of data, AI, creativity and technology to achieve true experience innovation. With a focus on delivering exceptional business results, we exist to unlock a better way to experience the world.
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