Advanced Analytics Lead
How organizations capture, create and use data is changing the way we work and live.
How organizations capture, create and use data is changing the way we work and live.
Many indicators suggest we are on the
cusp of an analytics revolution that will transform how organizations are
managed, as well as the economies and societies in which they operate.
Want to know what will happen in the future? Find the most lucrative
opportunities? Get insights into impending outcomes?
Make the best decisions possible and
unearth opportunities for business?
You are a leader and have an edge as far as data analytics is concerned; you stay on top of the latest analytics insights and trends, reimagining the possible within data analytics and analytical innovation.
You are a leader and have an edge as far as data analytics is concerned; you stay on top of the latest analytics insights and trends, reimagining the possible within data analytics and analytical innovation.
You think in terms of possibilities,
opportunities and discoveries and have found your niche in the breadth and
depth of advanced analytics that wow.
Are you looking for an employer who promotes individual excellence and mutual respect in a team-driven culture with a key focus on social empowerment?
Are you looking for an employer who promotes individual excellence and mutual respect in a team-driven culture with a key focus on social empowerment?
Look no further; Make your move towards
analytical innovation within the Co-operative Bank of Kenya, “The Kingdom Bank”
the place for those looking to new horizons.
The Advanced Analytics Lead Position is the perfect opportunity for you.
The Advanced Analytics Lead Position is the perfect opportunity for you.
You will be a pivotal member of the
Bank and will be responsible for the Banks vision and roadmap for advanced
analytics, identification and implementation of initiatives that drive impact
in advanced analytics and delivery of advanced analytics solutions to the Bank.
The Role
The Role
Specifically, the successful
jobholder will be required to:
- Propose an enterprise aligned vision and
roadmap for Advanced Analytics initiatives and build and Provide overall
leadership to the advanced analytics teams.
- Create and execute a business scale out plan
for Advanced Analytics practice.
- Support and partner with key internal teams
e.g., product teams to understand needs and develop customer analysis with
data and insights to make informed business decisions.
- Oversee delivery of Advanced Analytics
solutions to enterprise, ensuring overall business needs are addressed by
discussing Advanced Analytics opportunities, resourcing, and capabilities
with business units/function leaders.
- Ensure enterprise-wide understanding and
knowledge of enterprise tools and insights derived through focused
workshops and working sessions.
- Provide statistical analysis on custom
research projects and consult on other statistical and custom analysis as
needed.
- Identify cross –Business Unit impact Advanced
Analytics and suggest opportunities for cross- Business Unit
collaboration.
- Manage Advanced Analytics data science and
model development functions as well as identify opportunities to develop
new and innovative tools or approaches to generate greater insights
- Utilize external insights (third party data)
from the market (either micro or macro-economic) to inform enterprise
decisions and strategy going forward.
- Leverage web analytics and internal database
to address ad hoc questions, introduce web, marketing and social analytics
and use insights to support the evolving data strategy while performing
advanced analytics to derive greater value for business and partners.
- Provide support in building data capabilities
which feed into reporting/modelling and analysis of consumer behaviors
across platforms and over their lifetime e.g partnering with engineering
team to help define data strategy and tool set required to augment and
improve data collected about our audience and generate greater insights;
develop customer segmentation models.
Desired Skills and Experience
- A degree in statistics, data sciences or
related quantitative fields is preferred (or equivalent on-the-job
experience).
- A minimum 7 years of business experience with
5 years in Advanced Analytics is required.
- Experience with relational databases such as
Oracle, SQL queries, or OLAP cubes is preferred.
- Experience with major statistics package or
tools (e.g. R, SAS, and SPSS) are required.
- Experience with Web analytics, experience with
ad serving technologies and optimization tools (e.g. DFP, Yieldex),
experience with Tableau software or other data visualization and analysis
software is preferred.
- Experience using Big Data open source
platforms, such as Hadoop and Spark is a plus as well and experience with
market research methodologies is preferred.
- Expertise in creating and deploying best
practices and methodologies and knowledge about managing and leading
technical data analytics teams across multiple departments.
- Knowledge and experience in building and
supporting data analytics teams across the organization and developing
business cases for technical projects with a lot of uncertainties.
- Strong leadership and communication skills.
- Strong co-ordination and project management
skills to handle complex projects
How to Apply:
If you are confident that you fit the role and person profile and you are keen to add value to your career then please forward your application enclosing detailed Curriculum Vitae to jobs@co-opbank.co.ke indicating the job reference number AAL/ICT/2015 by 15th February, 2016.