Job Description

- This candidate will lead the analytics department and oversees the activities of the junior departments and personnel. In this role, the Head of Analytics ensures that the business in its various departments understands its own health, finds growth levers, and identifies opportunities for optimization.

The Head of Analytics leads the business through all efforts that drive business performance and potential by using the existent and new data sources and techniques.

- He/she leads the data analytics department in the development of a departmental culture, policies, and strategy. 

- The role will involve the Head of Analytics getting his or her hands dirty and solving hard analytical problems for the business, taking a seat at the table alongside Engineering, Product, and Marketing, often representing both Analytics and Product Operations.

1) Build the team

- Determine what roles are most needed for the business

- Attract and source candidates

- Select candidates who will be the best fit for the company's needs and culture

- Close candidates, often against competitive offers

2) Manage the team

- Ensure a bright, enthusiastic and capable team is aligned to and deployed against projects with the highest business impact

- Help analysts and business intelligence engineers achieve their career goals. Make sure that team members understand how to have an impact and make sure they are aware of that impact when they've made it.

- Explain complicated stats or data technology concepts.

3) Drive technology requirements and investments that make analytics a strategic weapon for the company

- Business intelligence tooling

- ETL infrastructure

- Client-side tracking instrumentation

- Unified view of customer data across tools and services used by the business

4) 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 behaviour

- 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

OTHER THINGS :

- Leadership/Supervisory/Support Role: The Head of Analytics is first and foremost a leader within the department overseeing all activities of the data analytics and data warehousing departments. He leads initiatives relating to the optimization of existing departmental policies and leads initiatives that relate to individual department optimization leading to performance improvement across the business.

- The Head of Analytics drives performance of analytics solutions to impact overall business results while keeping costs in check and ensuring the department remains within the planned budget. The Head of Analytics is also responsible for setting the departmental vision and culture and championing for the use of data in making key business decisions.

- The Head of Analytics is in charge of driving the day-to-day analytical approaches and exploring solutions to particular problems. He is also tasked with the management and long-term prioritization of the business's overall analytical needs and opportunities.

- The Head of Analytics additionally defines the business questions that need be answered and defines appropriate analytics models in addition to identifying and readying relevant data sources for analysis. In his leadership capacity, the Head of Analytics takes initiative in developing a 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.

Strategy:

- The Head of Analytics plays a leading strategic role where he leads the data analytics and data warehousing departments in strategy development with regard to the collection, manipulation, and analysis of data for various business functions/departments such as marketing, sales, operations, among others.

- The Head of Analytics also endeavours to create new data-driven approaches for the purpose of generating business insights through data analytics, information visualization, and addressing unanswered business issues in a proactive manner.

Analytics:

- The Head of Analytics will play an analytical role where he 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 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 business's performance at different fronts.

- It is also the duty of the Head of Analytics to validate, interpret, and create reports and presentations for senior data analytics management, departmental heads/ management, and relevant stakeholders.

Collaboration:

- The role of the Head of Analytics is a highly collaborative role and, as such, the Head of Analytics facilitates joint brainstorming and team collaboration.

- The Head of Analytics works closely with management in establishing departmental goals and strategies and works with junior data analytics and engineers in defining the data collection needs of the business for the purpose of future work and also for guaranteeing that there is high data-quality and reliability across the business.

- The Head of Analytics further collaborates with numerous departments across the business, aiding them in the proper use of data, hence, ensuring the delivery of desired operational results.

Operations Duties:

- Operational tasks that require detailed data analysis will often fall under both Analytics & Operations.

Prefered Candidates: PHD/ Msc/MS/Mtech with 8+ yrs of industry experience from Tier 1 or Foriegn Universities

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