Job Title:
Data Analytics Associate
Location:
Lagos
Our
Client, a big player in the FMCG Industry, is looking to recruit a Data Analytics Associate. This role is will
manage all facets of customer experience data – from web analytics to voice of
customer data. The incumbent will identify business problems and customer pain
points, formulate hypotheses, develop analytic plans, conduct the analysis,
synthesize conclusions into actionable solutions, and help implement
recommendations for customer experience programs.
RESPONSIBILITIES
RESPONSIBILITIES
- Develop
actionable insights from multiple data sources
- Quantify
the impact of programs and campaigns through reporting and analysis
- Oversee
analytics for all channels and voice of customer programs (e.g., NPS,
etc.)
- Partner
with key stakeholders to provide data-driven insights to inform business
and CXP decisions
- Lead
the development and execution of a periodic reporting framework in
collaboration with other team members
- Conduct
relevant customer behavior analysis, competitive analysis and industry
research
- Derive
insights from data to suggest, create, and execute tests that drive
improvements to conversion rates and customer satisfaction scores
- Create
holistic dashboards by pulling data from different data sources
- Provide
expertise and guidance to business on:
- Segmentation
- Campaign
analysis, analysis of performance, benchmarking
- Propensity-to-buy
and response modelling
- Attribution
models and reporting
- Understand
relevant technology applications
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SKILLS AND COMPETENCIES
- Ability
to hold self and others accountable to meet commitments, consistently
delivering results within required timelines and expectations.
- Detail-oriented
and strong team player with excellent interpersonal, listening, and oral communication
skills
- Ability
to work with limited supervision and proactively identify areas of
opportunity and focus based on business need/impact
EDUCATION AND EXPERIENCE
- Bachelor’s
Degree in Economics, Statistics, Engineering, or other related discipline.
- 3 -
5 years of related professional hands-on experience working with
data/analytics dashboards
- Experience
with at least one key analytics tools to develop actionable insights from
multiple data sources (e.g., R, Revolution R, SAS, SPSS, MATLAB, MicroStrategy,
Tableau)
- High
level understanding of data management, e.g. MS SQL, or other tools
- Knowledgeable
of statistical analysis, quantitative analytics, forecasting/predictive
analytics, and multivariate testing (A/B testing)
- Capable
of explaining complex analytical methodologies and concepts in
non-technical language
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