We have exciting opportunities for you to innovate, influence, transform, inspire and grow within our organization and we encourage you to apply to learn more!
Responsibilities
- Ability to conceptualize / design / build high quality, horizontal business solutions using large, connected data sets
- Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques.
- Define, track and report key metrics to assess overall business health.
- Build/design dashboards to enable ongoing monitoring of business health.
- Develop and execute the strategy for democratization of data and insights solutions (insights on demand)
- Work with data engineers to ingest new data sources and operationalize new business solutions and dashboards.
- Provide actionable insights on how to improve our services / products.
- Connect findings and recommendations to business initiatives and collaborate with key stakeholders at various management levels.
Required:
- 5+ years hands on analytics experience with proven quantitative orientation
- Degree in BE / ME / MSc / MCA or any equal and relevant is must.
- Exceptional problem solving, technical and data analysis skills.
- Advanced working knowledge of large data manipulation and data mining.
- Strong programming knowledge (SQL Queries) with SSIS Packages, SSIS Reports, SQL Jobs.
- Experience in migrating SQL to SQL Azure.
- Advanced Excel and PowerPoint skills.
- Hands on experience with Power BI and DAX.
- Working knowledge of AI / ML algorithms, KUSTO Queries.
- Exceptional written and verbal communication and presentation skills.
- Be self-driven and show ability to deliver on ambiguous projects with incomplete or dirty data.
- Ability to work in a team environment that promotes collaboration and succeed in a matrix structure by influencing new thinking.
- Advanced Power BI dashboard design & development.
- Previous experience in process analytics is a plus.
- Experience with big data technologies such as Azure Data Lake, HD Insight, Spark, Hive, etc.
- Business domain expertise in areas of sales, marketing, and finance.
- Experience in working with AI / ML algorithms and products.
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