Job Location: Bangalore/Bengaluru
1.1 Responsibilities
- Engage with leadership and diversified customer groups to understand the needs, recommend business intelligence solutions and delivering complete reporting solutions.
- Partner with Data engineering team to define the data elements and data structure that the team should leverage to enable analytical capabilities.
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
- Developing visual reports, dashboards and KPI scorecards.
- Connecting to data sources, importing data, and transforming data for Business Intelligence.
- Excellent in analytical thinking for translating data into informative visuals and reports.
- Design, implement, and support platforms that provide business teams ad-hoc access to large datasets (e.g. data visualization tools for non-tech business users)
- Make recommendations for new metrics, techniques, and strategies to improve the operational and quality metrics.
- Strong SQL experience with the ability to develop, tune and debug complex SQL applications.
- Experience with a structured application development methodology, using any industry standard Software Development Lifecycle, and agile methodologies.
- Support and enhance, stakeholder experience and models of optimization decisions in multiple production planning systems.
- Standardize data and report consumption across all customer groups.
- Drive process efficiency and automation
1.2 Qualifications/skills
- Bachelor’s degree in Engineering, Statistics, Computer Science, Mathematics, or a related quantitative discipline
- 7-8 years of work experience of analyzing and interpreting data as a business intelligence engineer, data engineer, or at a similar capacity
- Working knowledge of data profiling and modeling
- Advanced knowledge of SQL, intermediate knowledge of Python
- Proficient using at least one data visualization product (Tableau, Power BI, Qlik, Amazon QuickSight etc.)
- Experience working with large, multi-dimensional datasets from multiple sources
- Ability to work cross-functionally, building and maintaining trust with internal stakeholders
1.3 Nice to Have
- Work experience in cloud technologies AWS, MS Azure, Snowflake
- Framework Development and Automation Techniques for Report Metadata Ananlysis
- Experience in installing and implementation of BI solutions in Cloud
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