CX Intelligence Specialist, Innovation Leader
Fully proficient in English and Spanish. Other languages are a plus.
Experience on visualization frameworks and systems, e.g. Tableau, Power BI, Data Studio , etc.
3 + years of experience in data analysis.
Advanced in Excel.
Experience with Social Listening tools (Netbase, Sysomos, etc).
Advanced in Power Point/Keynote.
Good knowledge on statistics.
Social network analysis (Sprinklr, Facebook Business Manager, etc).
Good capability for complex analysis and synthesis.
Proactive attitude, look for improvement points and propose solutions.
Rigorous and strict enough to follow methodic working lines.
Findasense is a fast-growing company. It has developed and deployed marketing and consumer interaction solutions to more than 40 markets over the last 4 years. Since 2011, our team has doubled its size every year, and now comprises more than 250 full-time professionals. Findasense is fully aimed and committed to creating an outstanding, global and networked organization, with innovation, creativity and smart client service practices at the heart of all operations and capabilities. We love humble, talented, and ambitious people with strong ‘can-do’ and ‘start-up’ attitude.
Imagine a place where you work hand to hand with your client and team within a high creative environment.
Our Intelligence Specialist will collaborate with the data analysis team on developing new tools and getting insights whether from generated models output or from basic statistics or even from some wrangling data.
To keep a curious and skeptic spirit and being enthusiastic for learning about anything and finding ways to discover new methods and solutions.
Outcomes and accountabilities
Extract, process, analyze and present data for the team and client, focused on the strategic objectives.
Create reports: Daily, weekly and monthly alerts or reports.
Monitoring of social networks and media for the identification and mapping of topics of interest to our clients.
Developing new tools that help automate any task or make easier ways to extract and analyze data.
Defining guidelines to data treatment processes within company.
Mentoring team members and partners.
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