Job Location: Bangalore/Bengaluru
Head of Data and Analytics,
Location: Bangalore (onsite)
About the role:
The Head of Data and Analytics will play an analytical role where he/she develops and applies analytical algorithms and methods where possible with a view of driving and enhancing data systems and streamlining business processes. In this capacity, the Head of Analytics strives to improve the quality of analytics solutions on a consistent basis. He/she leads the analytics and warehousing departments in the creation of high quality analyses for all functions of the business and in the definition of metrics that track the businesss performance at different fronts. It is also the duty of the Head of Analytics to validate, interpret, and create reports and presentations for senior management, departmental heads/management, and relevant stakeholders.
The Head of Data and Analytics additionally defines the business questions that need to be answered and defines appropriate analytics models in addition to identifying and readying relevant data sources for analysis. He/she takes initiative in developing training programs meant for improving the departmental heads understanding of the use of data, which improves decision-making across the business. In this capacity, the Head of Analytics will also play a mentorship role to key data analytics and warehousing personnel, constantly honing their professional skills, and preparing them for the occupation of his position in future.
Responsibilities:
- Responsible for providing advanced analytics solutions to influence decision making at senior levels of the organization
- Lead and manage Analytics team working with various departments across the organization. Ensure the team is aligned to and deployed against projects with the highest business impact.
- Drive technology requirements and investments that make analytics a strategic weapon for the company. Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
- Business intelligence tooling
- ETL infrastructure
- Unified view of customer data across tools and services used by the business
- Interface with other groups
- Leadership to be sure that decisions are informed and analysis is in service of company goals
- User research to understand the emotions and motivations behind user behavior
- FP&A to make sure that the entire company is aligned on goals and how to drive towards them
- Data engineering to be sure that analytics has access to data and tools needed
- Data science to be sure that work isn’t being duplicated and everyone understands our business in the same way
- Locate and define new process improvement opportunities
Qualifications
- Ability to clearly and concisely share complex analyses to diverse audiences and stakeholders
- At least 5 years of working experience in a data analyst and/or data warehousing position, preferably working as a Senior Data Analyst/ Data engineer in a fast-paced and complex business setting
- Demonstrated success leading analytics and a large analytical team as well as vast experience working with a wide range of data in order to predict business metrics
- Exposure to data sources like cloud based data warehouse, Reporting tools like Power BI etc.
- A candidate for this position must demonstrate a passion for research and data and be highly skilled in performing quantitative analyses on various business functions, for example, on consumer behavior and trends.
- The candidate must also be highly skilled in the use of SQL, being able to draw complex queries that ultimately lead to improvements in business performance.
- The candidate for this position will additionally have an understanding of A/B testing as well as vast knowledge in the identification of key metrics that measure and drive long-term health of the business.
- Must also have a natural ability to make strong, lasting, and meaningful connection with others, which will aid him/her in the execution of his/her duties in this highly collaborative role
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