Senior Business Analytics Manager
4 days ago
Tiger Analytics is a leading advanced analytics consulting firm that enables Fortune 100 companies to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI, and have been recognized by market research firms such as Forrester and Gartner.
We are market leaders in AI & Analytics consulting in the Consumer Goods and Retail industry, with a strong presence in the sector. We are looking for a Senior Business Analytics Manager to join our team and work on unstructured business problems that can be solved using data.
Key Responsibilities- Work on the latest applications of data science to solve business problems, leveraging advanced analytics techniques and tools.
- Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights.
- Understand the business context by discussing existing data models with senior client leaders and deriving useful business insights.
- Extract, transform, and organize data into datasets using tools like SQL, and develop data models using Data Science, Machine Learning, and Artificial Intelligence techniques.
- Break down projects into specific tasks involving business analysis, data science, and engineering, and direct teams of business analysts to create data-driven solutions.
- Architect data analytics frameworks and solutions to solve data-driven business problems, and use Operational Research techniques to develop data models.
- Develop and run simulation, optimization, and what-if scenario planning tools to support decision-making, and demonstrate ability to sift through data, identify critical information, analyze, develop hypotheses, and make recommendations to a broader audience.
- Work cross-functionally to develop innovative solutions using advanced analytics, and synthesize and package complex analyses and deliver results to non-technical audiences including senior leadership teams.
- Develop and deliver presentations, and have excellent written and verbal communication skills.
- Familiarity with agile development methodology, and utilize quality checks to ensure results are sound.
- 12-14 years of professional work experience with at least 8 years in business data analytics.
- Experience in Retail or Consumer Goods domain is required.
- Supply Chain background and prior experience in areas of Demand, Supply, Shipping, Inventory Planning, etc. is highly desirable.
- Experience working with large data sets is preferable (with an emphasis on business analysis problems).
- Experience working with offshore teams.
- Bachelor's degree in Mathematics, Statistics, or related field with experience in areas such as Supply chain planning and operations, E-commerce, and store retail experience preferred.
- Demonstrated technical and analytical skill set to work with analytics toolkit such as Python, SQL, Git, Power BI, PySpark, MS Azure services.
- Ability to engage with executive/VP level stakeholders from the client's team to translate business problems to high-level analytics solution approach.
- Ability to work cross-functionally to develop innovative solutions using advanced analytics.
- Prior experience in synthesizing and packaging complex analyses and delivering results to non-technical audiences including senior leadership teams.
- Excellent written and verbal communication skills, including ability to develop and deliver presentations.
- Familiarity with agile development methodology.
- Strong project management and team management skills and ability to work with global teams.
- Knowledge of statistical and machine learning algorithms.
- Exposure to cloud platforms and big data systems such as Hadoop HDFS, and Hive is a plus.
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
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