Required a Data Analyst.
Outline specific data needs for each analysis project with department managers, key stakeholders, and our coffee guy.
Together with management,help define KPIs and key metrics, while providing the dashboards and reports that we can kick back and watch while sipping pina coladas as we crush our business goals.
Like an Engima Machine for raw data, youll interpret inputs, analyze results with fancy statistical techniques, and provide ongoing reports.
You dont need to be a Rainmanbut youll help Identify, analyze and interpret trends or patterns in complex data sets.
Identify and facilitate acquisition of external datasets. Sound broad? Yea, freight is pretty ubiquitous.
Generate recommendations and actionable insights to drive product and business processes.
Work closely with R&D team to spec and develop data requirements. Treat them nice.
Create and maintain in-house and customer facing reports and dashboards. No pie charts though. Or maybe just one.
Requirements:
The data must be strong with this one. You should have strong analytical skills with the ability to collect, organise, analyse, and disseminate huge amounts of information. But it shouldnt come at the expense of detail or accuracy.
Unless you have a TI calculator you really love, youll need a strong grasp and experience with reporting packages, databases, BI tools etc.
Select * Where SQL_Skills > incredible.
Adept at queries, report writing and presenting findings.
Beyond the language of data, you have excellent English language skills, both written and verbal.
A team player and detailed oriented (we copied that one from some big corporation and felt like it sounded cool).
Preferred Qualifications:
Bachelors Degree in Mathematics, Economics, Computer Science, Information Management or Statistics.
Extensive knowledge of web analytics, BI and big data.
Experience with website funnel analysis and optimization.
Experience with Google Analytics.
Knowledge of statistics and experience using statistical packages for analysing large datasets (SPSS, SAS etc Excel macros etc.).
Experience with programming/scripting (Python, Java, Perl).
Experience writing specs for R&D teams.
Data visualization experience.
Data warehouse design.